mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2026-07-09 17:08:33 +00:00
sd: sync with master-685-19bdfe2 (#2265)
* sd: sync with master-682-b3d56d0 * sd: sync with master-685-19bdfe2 * sd: enable layer streaming
This commit is contained in:
Wagner Bruna
GitHub
parent
45ce7950f1
commit
fdc9c96124
35 changed files with 958 additions and 795 deletions
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@ -483,6 +483,7 @@ bool sdtype_load_model(const sd_load_model_inputs inputs) {
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params.vae_conv_direct = sd_params->vae_conv_direct;
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params.chroma_use_dit_mask = sd_params->chroma_use_dit_mask;
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params.max_vram = inputs.max_vram;
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params.stream_layers = inputs.stream_layers;
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params.enable_mmap = inputs.use_mmap;
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// the _cpu flags are only used if the backend string is empty, but
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// we always set both for consistency
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@ -9,6 +9,7 @@
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#include "model/te/clip.hpp"
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#include "model/te/llm.hpp"
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#include "model/te/t5.hpp"
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#include "model_loader.h"
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struct SDCondition {
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sd::Tensor<float> c_crossattn;
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@ -103,7 +104,6 @@ struct ConditionerParams {
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int width = -1;
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int height = -1;
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bool zero_out_masked = false;
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int num_input_imgs = 0; // for photomaker
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const std::vector<sd::Tensor<float>>* ref_images = nullptr; // for qwen image edit
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};
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@ -121,25 +121,16 @@ public:
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virtual void set_stream_layers_enabled(bool enabled) {}
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virtual void set_flash_attention_enabled(bool enabled) = 0;
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virtual void set_weight_adapter(const std::shared_ptr<WeightAdapter>& adapter) {}
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virtual std::tuple<SDCondition, std::vector<bool>> get_learned_condition_with_trigger(int n_threads,
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const ConditionerParams& conditioner_params) {
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GGML_ABORT("Not implemented yet!");
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}
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virtual std::string remove_trigger_from_prompt(const std::string& prompt) {
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GGML_ABORT("Not implemented yet!");
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}
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};
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// ldm.modules.encoders.modules.FrozenCLIPEmbedder
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// Ref: https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/cad87bf4e3e0b0a759afa94e933527c3123d59bc/modules/sd_hijack_clip.py#L283
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struct FrozenCLIPEmbedderWithCustomWords : public Conditioner {
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SDVersion version = VERSION_SD1;
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PMVersion pm_version = PM_VERSION_1;
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SDVersion version = VERSION_SD1;
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CLIPTokenizer tokenizer;
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std::shared_ptr<CLIPTextModelRunner> text_model;
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std::shared_ptr<CLIPTextModelRunner> text_model2;
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std::string trigger_word = "img"; // should be user settable
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std::map<std::string, std::string> embedding_map;
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int32_t num_custom_embeddings = 0;
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int32_t num_custom_embeddings_2 = 0;
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@ -150,9 +141,8 @@ struct FrozenCLIPEmbedderWithCustomWords : public Conditioner {
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ggml_backend_t params_backend,
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const String2TensorStorage& tensor_storage_map,
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const std::map<std::string, std::string>& orig_embedding_map,
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SDVersion version = VERSION_SD1,
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PMVersion pv = PM_VERSION_1)
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: version(version), pm_version(pv), tokenizer(sd_version_is_sd2(version) ? 0 : 49407) {
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SDVersion version = VERSION_SD1)
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: version(version), tokenizer(sd_version_is_sd2(version) ? 0 : 49407) {
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for (const auto& kv : orig_embedding_map) {
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std::string name = kv.first;
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std::transform(name.begin(), name.end(), name.begin(), [](unsigned char c) { return std::tolower(c); });
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@ -329,121 +319,6 @@ struct FrozenCLIPEmbedderWithCustomWords : public Conditioner {
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return tokenizer.decode(tokens);
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}
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std::tuple<std::vector<int>, std::vector<float>, std::vector<bool>>
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tokenize_with_trigger_token(std::string text,
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int num_input_imgs,
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int32_t image_token) {
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auto parsed_attention = parse_prompt_attention(text);
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{
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std::stringstream ss;
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ss << "[";
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for (const auto& item : parsed_attention) {
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ss << "['" << item.first << "', " << item.second << "], ";
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}
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ss << "]";
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LOG_DEBUG("parse '%s' to %s", text.c_str(), ss.str().c_str());
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}
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auto on_new_token_cb = [&](std::string& str, std::vector<int32_t>& bpe_tokens) -> bool {
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auto iter = embedding_map.find(str);
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if (iter == embedding_map.end()) {
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return false;
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}
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std::string embedding_path = iter->second;
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if (load_embedding(str, embedding_path, bpe_tokens)) {
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return true;
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}
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return false;
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};
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std::vector<int> tokens;
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std::vector<float> weights;
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std::vector<bool> class_token_mask;
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int32_t class_idx = -1, tokens_acc = 0;
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for (const auto& item : parsed_attention) {
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std::vector<int> class_token_index;
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std::vector<int> clean_input_ids;
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const std::string& curr_text = item.first;
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float curr_weight = item.second;
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// printf(" %s: %f \n", curr_text.c_str(), curr_weight);
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int32_t clean_index = 0;
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if (curr_text == "BREAK" && curr_weight == -1.0f) {
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// Pad token array up to chunk size at this point.
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// TODO: This is a hardcoded chunk_len, like in stable-diffusion.cpp, make it a parameter for the future?
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// Also, this is 75 instead of 77 to leave room for BOS and EOS tokens.
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int padding_size = 75 - (tokens_acc % 75);
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for (int j = 0; j < padding_size; j++) {
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clean_input_ids.push_back(tokenizer.EOS_TOKEN_ID);
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clean_index++;
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}
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// After padding, continue to the next iteration to process the following text as a new segment
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tokens.insert(tokens.end(), clean_input_ids.begin(), clean_input_ids.end());
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weights.insert(weights.end(), padding_size, curr_weight);
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continue;
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}
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// Regular token, process normally
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std::vector<int> curr_tokens = tokenizer.encode(curr_text, on_new_token_cb);
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for (uint32_t i = 0; i < curr_tokens.size(); i++) {
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int token_id = curr_tokens[i];
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if (token_id == image_token) {
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class_token_index.push_back(clean_index - 1);
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} else {
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clean_input_ids.push_back(token_id);
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clean_index++;
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}
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}
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// GGML_ASSERT(class_token_index.size() == 1); // PhotoMaker currently does not support multiple
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// trigger words in a single prompt.
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if (class_token_index.size() == 1) {
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// Expand the class word token and corresponding mask
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int class_token = clean_input_ids[class_token_index[0]];
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class_idx = tokens_acc + class_token_index[0];
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std::vector<int> clean_input_ids_tmp;
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for (int i = 0; i < class_token_index[0]; i++)
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clean_input_ids_tmp.push_back(clean_input_ids[i]);
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for (int i = 0; i < (pm_version == PM_VERSION_2 ? 2 * num_input_imgs : num_input_imgs); i++)
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clean_input_ids_tmp.push_back(class_token);
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for (int i = class_token_index[0] + 1; i < clean_input_ids.size(); i++)
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clean_input_ids_tmp.push_back(clean_input_ids[i]);
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clean_input_ids.clear();
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clean_input_ids = clean_input_ids_tmp;
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}
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tokens_acc += clean_index;
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tokens.insert(tokens.end(), clean_input_ids.begin(), clean_input_ids.end());
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weights.insert(weights.end(), clean_input_ids.size(), curr_weight);
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}
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// BUG!! double couting, pad_tokens will add BOS at the beginning
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// tokens.insert(tokens.begin(), tokenizer.BOS_TOKEN_ID);
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// weights.insert(weights.begin(), 1.0);
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tokenizer.pad_tokens(tokens, &weights, nullptr, text_model->model.n_token, text_model->model.n_token, true);
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int offset = pm_version == PM_VERSION_2 ? 2 * num_input_imgs : num_input_imgs;
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for (int i = 0; i < tokens.size(); i++) {
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// if (class_idx + 1 <= i && i < class_idx + 1 + 2*num_input_imgs) // photomaker V2 has num_tokens(=2)*num_input_imgs
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if (class_idx + 1 <= i && i < class_idx + 1 + offset) // photomaker V2 has num_tokens(=2)*num_input_imgs
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// hardcode for now
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class_token_mask.push_back(true);
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else
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class_token_mask.push_back(false);
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}
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// printf("[");
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// for (int i = 0; i < tokens.size(); i++) {
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// printf("%d, ", class_token_mask[i] ? 1 : 0);
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// }
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// printf("]\n");
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// for (int i = 0; i < tokens.size(); i++) {
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// std::cout << tokens[i] << ":" << weights[i] << ", ";
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// }
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// std::cout << std::endl;
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return std::make_tuple(tokens, weights, class_token_mask);
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}
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std::pair<std::vector<int>, std::vector<float>> tokenize(std::string text,
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size_t min_length = 0,
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size_t max_length = 0,
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@ -631,49 +506,6 @@ struct FrozenCLIPEmbedderWithCustomWords : public Conditioner {
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return result;
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}
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std::tuple<SDCondition, std::vector<bool>>
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get_learned_condition_with_trigger(int n_threads,
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const ConditionerParams& conditioner_params) override {
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auto image_tokens = convert_token_to_id(trigger_word);
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// if(image_tokens.size() == 1){
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// printf(" image token id is: %d \n", image_tokens[0]);
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// }
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GGML_ASSERT(image_tokens.size() == 1);
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auto tokens_and_weights = tokenize_with_trigger_token(conditioner_params.text,
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conditioner_params.num_input_imgs,
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image_tokens[0]);
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std::vector<int>& tokens = std::get<0>(tokens_and_weights);
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std::vector<float>& weights = std::get<1>(tokens_and_weights);
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std::vector<bool>& clsm = std::get<2>(tokens_and_weights);
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// printf("tokens: \n");
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// for(int i = 0; i < tokens.size(); ++i)
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// printf("%d ", tokens[i]);
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// printf("\n");
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// printf("clsm: \n");
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// for(int i = 0; i < clsm.size(); ++i)
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// printf("%d ", clsm[i]?1:0);
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// printf("\n");
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auto cond = get_learned_condition_common(n_threads,
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tokens,
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weights,
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conditioner_params.clip_skip,
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conditioner_params.width,
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conditioner_params.height,
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conditioner_params.zero_out_masked);
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return std::make_tuple(cond, clsm);
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}
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std::string remove_trigger_from_prompt(const std::string& prompt) override {
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auto image_tokens = convert_token_to_id(trigger_word);
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GGML_ASSERT(image_tokens.size() == 1);
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auto tokens_and_weights = tokenize(prompt);
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std::vector<int>& tokens = tokens_and_weights.first;
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auto it = std::find(tokens.begin(), tokens.end(), image_tokens[0]);
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GGML_ASSERT(it != tokens.end()); // prompt must have trigger word
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tokens.erase(it);
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return decode(tokens);
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}
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SDCondition get_learned_condition(int n_threads,
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const ConditionerParams& conditioner_params) override {
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auto tokens_and_weights = tokenize(conditioner_params.text, text_model->model.n_token, text_model->model.n_token, true);
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@ -3,9 +3,9 @@
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#include <regex>
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#include <vector>
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#include "model.h"
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#include "model_io/gguf_io.h"
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#include "model_io/safetensors_io.h"
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#include "model_loader.h"
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#include "util.h"
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#include "ggml_extend_backend.h"
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@ -2470,10 +2470,26 @@ protected:
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*effective_budget_out = effective_budget;
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}
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// When streaming and the model dwarfs the budget, cap the planner at
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// a quarter so it builds smaller merged segments and chunk-K can fit
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// alongside. Without streaming the cap only adds dispatch overhead.
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size_t planner_budget = effective_budget;
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if (stream_layers_enabled) {
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size_t total_params_bytes = 0;
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for (const ggml_tensor* t : params_tensor_set_) {
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if (t != nullptr) {
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total_params_bytes += ggml_nbytes(t);
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}
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}
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if (total_params_bytes * 4 > effective_budget * 3) {
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planner_budget = effective_budget / 4;
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}
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}
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*plan_out = sd::ggml_graph_cut::resolve_plan(runtime_backend,
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gf,
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&graph_cut_plan_cache_,
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effective_budget,
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planner_budget,
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params_tensor_set_,
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get_desc().c_str());
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if (stream_layers_enabled) {
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@ -3311,6 +3327,7 @@ public:
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for (auto& pair : params) {
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ggml_tensor* param = pair.second;
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tensors[prefix + pair.first] = pair.second;
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ggml_set_name(param, (prefix + pair.first).c_str());
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}
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}
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73
otherarch/sdcpp/src/extensions/generation_extension.h
Normal file
73
otherarch/sdcpp/src/extensions/generation_extension.h
Normal file
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@ -0,0 +1,73 @@
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#ifndef __SD_EXTENSIONS_GENERATION_EXTENSION_H__
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#define __SD_EXTENSIONS_GENERATION_EXTENSION_H__
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#include <functional>
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#include <map>
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#include <memory>
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#include <set>
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#include <string>
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#include "conditioning/conditioner.hpp"
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#include "core/ggml_extend_backend.h"
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#include "model_loader.h"
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#include "stable-diffusion.h"
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struct GenerationExtensionInitContext {
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const sd_ctx_params_t* params;
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SDVersion version;
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const String2TensorStorage& tensor_storage_map;
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ModelLoader& model_loader;
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int n_threads;
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std::function<bool(SDBackendModule)> ensure_backend_pair;
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std::function<ggml_backend_t(SDBackendModule)> backend_for;
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std::function<ggml_backend_t(SDBackendModule)> params_backend_for;
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};
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struct GenerationExtensionTensorContext {
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std::map<std::string, ggml_tensor*>& tensors;
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std::map<std::string, ggml_tensor*>& mmap_able_tensors;
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std::function<bool(SDBackendModule)> module_can_mmap;
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};
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struct GenerationExtensionConditionContext {
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Conditioner* conditioner;
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ConditionerParams& condition_params;
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const sd_pm_params_t& pm_params;
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std::map<std::string, ggml_tensor*>& tensors;
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SDVersion version;
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int n_threads;
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int total_steps;
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bool free_params_immediately;
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};
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struct GenerationExtension {
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virtual ~GenerationExtension() = default;
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virtual const char* name() const = 0;
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virtual bool is_enabled() const {
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return false;
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}
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virtual bool init(const GenerationExtensionInitContext&) {
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return true;
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}
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virtual void collect_param_tensors(GenerationExtensionTensorContext&) {}
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virtual void add_ignore_tensors(std::set<std::string>&) const {}
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virtual bool alloc_params_buffer() {
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return true;
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}
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virtual size_t get_params_buffer_size() const {
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return 0;
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}
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virtual void reset_runtime_condition() {}
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virtual bool prepare_condition(GenerationExtensionConditionContext&) {
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return false;
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}
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virtual const SDCondition& before_condition(int step,
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const SDCondition& condition) const {
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return condition;
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}
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};
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std::shared_ptr<GenerationExtension> create_photomaker_extension();
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#endif
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325
otherarch/sdcpp/src/extensions/photomaker_extension.cpp
Normal file
325
otherarch/sdcpp/src/extensions/photomaker_extension.cpp
Normal file
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@ -0,0 +1,325 @@
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#include "extensions/generation_extension.h"
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#include <algorithm>
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#include <cstring>
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#include <tuple>
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#include <utility>
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#include "core/tensor_ggml.hpp"
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#include "core/util.h"
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#include "model/adapter/lora.hpp"
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#include "model/adapter/pmid.hpp"
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static std::tuple<std::vector<int>, std::vector<float>, std::vector<bool>>
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tokenize_photomaker_trigger(FrozenCLIPEmbedderWithCustomWords& clip_conditioner,
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const std::string& text,
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int trigger_token_count,
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int32_t image_token) {
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auto tokens_and_weights = clip_conditioner.tokenize(text);
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std::vector<int> source_tokens = std::move(tokens_and_weights.first);
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std::vector<float> source_weights = std::move(tokens_and_weights.second);
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if (!source_tokens.empty() && source_tokens.front() == clip_conditioner.tokenizer.BOS_TOKEN_ID) {
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source_tokens.erase(source_tokens.begin());
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source_weights.erase(source_weights.begin());
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}
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if (!source_tokens.empty() && source_tokens.back() == clip_conditioner.tokenizer.EOS_TOKEN_ID) {
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source_tokens.pop_back();
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source_weights.pop_back();
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}
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std::vector<int> tokens;
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std::vector<float> weights;
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int32_t class_idx = -1;
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for (size_t i = 0; i < source_tokens.size(); i++) {
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int token = source_tokens[i];
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if (token == image_token) {
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if (!tokens.empty()) {
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class_idx = static_cast<int32_t>(tokens.size()) - 1;
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int class_token = tokens.back();
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float class_weight = weights.back();
|
||||
for (int j = 1; j < trigger_token_count; j++) {
|
||||
tokens.push_back(class_token);
|
||||
weights.push_back(class_weight);
|
||||
}
|
||||
}
|
||||
continue;
|
||||
}
|
||||
tokens.push_back(token);
|
||||
weights.push_back(source_weights[i]);
|
||||
}
|
||||
|
||||
clip_conditioner.tokenizer.pad_tokens(tokens,
|
||||
&weights,
|
||||
nullptr,
|
||||
clip_conditioner.text_model->model.n_token,
|
||||
clip_conditioner.text_model->model.n_token,
|
||||
true);
|
||||
std::vector<bool> class_token_mask;
|
||||
for (int i = 0; i < tokens.size(); i++) {
|
||||
class_token_mask.push_back(class_idx + 1 <= i && i < class_idx + 1 + trigger_token_count);
|
||||
}
|
||||
|
||||
return std::make_tuple(tokens, weights, class_token_mask);
|
||||
}
|
||||
|
||||
static std::tuple<SDCondition, std::vector<bool>>
|
||||
get_photomaker_condition_with_trigger(FrozenCLIPEmbedderWithCustomWords& clip_conditioner,
|
||||
int n_threads,
|
||||
const ConditionerParams& conditioner_params,
|
||||
const std::string& trigger_word,
|
||||
int trigger_token_count) {
|
||||
auto image_tokens = clip_conditioner.convert_token_to_id(trigger_word);
|
||||
GGML_ASSERT(image_tokens.size() == 1);
|
||||
auto tokens_and_weights = tokenize_photomaker_trigger(clip_conditioner,
|
||||
conditioner_params.text,
|
||||
trigger_token_count,
|
||||
image_tokens[0]);
|
||||
std::vector<int>& tokens = std::get<0>(tokens_and_weights);
|
||||
std::vector<float>& weights = std::get<1>(tokens_and_weights);
|
||||
std::vector<bool>& trigger_mask = std::get<2>(tokens_and_weights);
|
||||
auto cond = clip_conditioner.get_learned_condition_common(n_threads,
|
||||
tokens,
|
||||
weights,
|
||||
conditioner_params.clip_skip,
|
||||
conditioner_params.width,
|
||||
conditioner_params.height,
|
||||
conditioner_params.zero_out_masked);
|
||||
return std::make_tuple(std::move(cond), trigger_mask);
|
||||
}
|
||||
|
||||
static std::string remove_photomaker_trigger_from_prompt(FrozenCLIPEmbedderWithCustomWords& clip_conditioner,
|
||||
const std::string& prompt,
|
||||
const std::string& trigger_word) {
|
||||
auto image_tokens = clip_conditioner.convert_token_to_id(trigger_word);
|
||||
GGML_ASSERT(image_tokens.size() == 1);
|
||||
auto tokens_and_weights = clip_conditioner.tokenize(prompt);
|
||||
std::vector<int>& tokens = tokens_and_weights.first;
|
||||
auto it = std::find(tokens.begin(), tokens.end(), image_tokens[0]);
|
||||
GGML_ASSERT(it != tokens.end());
|
||||
tokens.erase(it);
|
||||
return clip_conditioner.decode(tokens);
|
||||
}
|
||||
|
||||
struct PhotoMakerExtension : public GenerationExtension {
|
||||
std::shared_ptr<PhotoMakerIDEncoder> pmid_model;
|
||||
std::shared_ptr<LoraModel> pmid_lora;
|
||||
bool enabled = false;
|
||||
std::string model_path;
|
||||
std::string trigger_word = "img";
|
||||
SDCondition id_condition;
|
||||
int start_merge_step = -1;
|
||||
|
||||
const char* name() const override {
|
||||
return "photomaker";
|
||||
}
|
||||
|
||||
bool is_enabled() const override {
|
||||
return enabled;
|
||||
}
|
||||
|
||||
bool init(const GenerationExtensionInitContext& ctx) override {
|
||||
model_path = SAFE_STR(ctx.params->photo_maker_path);
|
||||
if (model_path.empty()) {
|
||||
return true;
|
||||
}
|
||||
|
||||
if (!ctx.ensure_backend_pair(SDBackendModule::PHOTOMAKER)) {
|
||||
return false;
|
||||
}
|
||||
|
||||
PMVersion pm_version = std::strstr(model_path.c_str(), "v2") != nullptr ? PM_VERSION_2 : PM_VERSION_1;
|
||||
pmid_model = std::make_shared<PhotoMakerIDEncoder>(ctx.backend_for(SDBackendModule::PHOTOMAKER),
|
||||
ctx.params_backend_for(SDBackendModule::PHOTOMAKER),
|
||||
ctx.tensor_storage_map,
|
||||
"pmid",
|
||||
ctx.version,
|
||||
pm_version);
|
||||
if (pm_version == PM_VERSION_2) {
|
||||
LOG_INFO("using PhotoMaker Version 2");
|
||||
}
|
||||
|
||||
pmid_lora = std::make_shared<LoraModel>("pmid",
|
||||
ctx.backend_for(SDBackendModule::PHOTOMAKER),
|
||||
ctx.params_backend_for(SDBackendModule::PHOTOMAKER),
|
||||
model_path,
|
||||
"",
|
||||
ctx.version);
|
||||
auto lora_tensor_filter = [&](const std::string& tensor_name) {
|
||||
return starts_with(tensor_name, "lora.model");
|
||||
};
|
||||
if (!pmid_lora->load_from_file(ctx.n_threads, lora_tensor_filter)) {
|
||||
LOG_WARN("load photomaker lora tensors from %s failed", model_path.c_str());
|
||||
return false;
|
||||
}
|
||||
|
||||
LOG_INFO("loading stacked ID embedding (PHOTOMAKER) model file from '%s'", model_path.c_str());
|
||||
if (!ctx.model_loader.init_from_file_and_convert_name(model_path, "pmid.")) {
|
||||
LOG_WARN("loading stacked ID embedding from '%s' failed", model_path.c_str());
|
||||
return true;
|
||||
}
|
||||
|
||||
enabled = true;
|
||||
return true;
|
||||
}
|
||||
|
||||
void collect_param_tensors(GenerationExtensionTensorContext& ctx) override {
|
||||
if (!enabled || pmid_model == nullptr) {
|
||||
return;
|
||||
}
|
||||
|
||||
std::map<std::string, ggml_tensor*> temp;
|
||||
pmid_model->get_param_tensors(temp, "pmid");
|
||||
bool do_mmap = ctx.module_can_mmap(SDBackendModule::PHOTOMAKER);
|
||||
for (const auto& [key, tensor] : temp) {
|
||||
ctx.tensors[key] = tensor;
|
||||
if (do_mmap) {
|
||||
ctx.mmap_able_tensors[key] = tensor;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void add_ignore_tensors(std::set<std::string>& ignore_tensors) const override {
|
||||
if (!enabled) {
|
||||
return;
|
||||
}
|
||||
ignore_tensors.insert("pmid.unet.");
|
||||
}
|
||||
|
||||
bool alloc_params_buffer() override {
|
||||
if (!enabled || pmid_model == nullptr) {
|
||||
return true;
|
||||
}
|
||||
return pmid_model->alloc_params_buffer();
|
||||
}
|
||||
|
||||
size_t get_params_buffer_size() const override {
|
||||
if (!enabled || pmid_model == nullptr) {
|
||||
return 0;
|
||||
}
|
||||
return pmid_model->get_params_buffer_size();
|
||||
}
|
||||
|
||||
void reset_runtime_condition() override {
|
||||
id_condition = {};
|
||||
start_merge_step = -1;
|
||||
}
|
||||
|
||||
bool prepare_condition(GenerationExtensionConditionContext& ctx) override {
|
||||
reset_runtime_condition();
|
||||
if (!enabled || pmid_model == nullptr || pmid_lora == nullptr) {
|
||||
return false;
|
||||
}
|
||||
|
||||
if (!pmid_lora->applied) {
|
||||
int64_t t0 = ggml_time_ms();
|
||||
pmid_lora->apply(ctx.tensors, ctx.version, ctx.n_threads);
|
||||
int64_t t1 = ggml_time_ms();
|
||||
pmid_lora->applied = true;
|
||||
LOG_INFO("pmid_lora apply completed, taking %.2fs", (t1 - t0) * 1.0f / 1000);
|
||||
if (ctx.free_params_immediately) {
|
||||
pmid_lora->free_params_buffer();
|
||||
}
|
||||
}
|
||||
|
||||
bool pmv2 = pmid_model->get_version() == PM_VERSION_2;
|
||||
if (ctx.pm_params.id_images_count <= 0 || ctx.pm_params.id_images == nullptr) {
|
||||
LOG_WARN("Provided PhotoMaker model file, but NO input ID images");
|
||||
LOG_WARN("Turn off PhotoMaker for this request");
|
||||
return false;
|
||||
}
|
||||
auto* clip_conditioner = dynamic_cast<FrozenCLIPEmbedderWithCustomWords*>(ctx.conditioner);
|
||||
if (clip_conditioner == nullptr) {
|
||||
LOG_WARN("PhotoMaker requires FrozenCLIPEmbedderWithCustomWords conditioner");
|
||||
LOG_WARN("Turn off PhotoMaker for this request");
|
||||
return false;
|
||||
}
|
||||
|
||||
int clip_image_size = 224;
|
||||
pmid_model->style_strength = ctx.pm_params.style_strength;
|
||||
sd::Tensor<float> id_image_tensor;
|
||||
for (int i = 0; i < ctx.pm_params.id_images_count; i++) {
|
||||
auto id_image = sd_image_to_tensor(ctx.pm_params.id_images[i]);
|
||||
auto processed_id_image = clip_preprocess(id_image, clip_image_size, clip_image_size);
|
||||
if (id_image_tensor.empty()) {
|
||||
id_image_tensor = processed_id_image;
|
||||
} else {
|
||||
id_image_tensor = sd::ops::concat(id_image_tensor, processed_id_image, 3);
|
||||
}
|
||||
}
|
||||
|
||||
int64_t t0 = ggml_time_ms();
|
||||
int trigger_token_count = pmv2 ? 2 * ctx.pm_params.id_images_count : ctx.pm_params.id_images_count;
|
||||
auto cond_tup = get_photomaker_condition_with_trigger(*clip_conditioner,
|
||||
ctx.n_threads,
|
||||
ctx.condition_params,
|
||||
trigger_word,
|
||||
trigger_token_count);
|
||||
SDCondition prepared_id_condition = std::get<0>(cond_tup);
|
||||
auto class_tokens_mask = std::get<1>(cond_tup);
|
||||
if (std::find(class_tokens_mask.begin(), class_tokens_mask.end(), true) == class_tokens_mask.end()) {
|
||||
LOG_WARN("PhotoMaker trigger word '%s' was not found in prompt", trigger_word.c_str());
|
||||
LOG_WARN("Turn off PhotoMaker for this request");
|
||||
return false;
|
||||
}
|
||||
|
||||
sd::Tensor<float> id_embeds;
|
||||
if (pmv2 && ctx.pm_params.id_embed_path != nullptr) {
|
||||
try {
|
||||
id_embeds = sd::load_tensor_from_file_as_tensor<float>(ctx.pm_params.id_embed_path);
|
||||
} catch (const std::exception&) {
|
||||
id_embeds = {};
|
||||
}
|
||||
}
|
||||
if (pmv2 && id_embeds.empty()) {
|
||||
LOG_WARN("Provided PhotoMaker images, but NO valid ID embeds file for PM v2");
|
||||
LOG_WARN("Turn off PhotoMaker for this request");
|
||||
return false;
|
||||
}
|
||||
if (pmv2 && ctx.pm_params.id_images_count != id_embeds.shape()[1]) {
|
||||
LOG_WARN("PhotoMaker image count (%d) does NOT match ID embeds (%d). You should run face_detect.py again.",
|
||||
ctx.pm_params.id_images_count,
|
||||
static_cast<int>(id_embeds.shape()[1]));
|
||||
LOG_WARN("Turn off PhotoMaker for this request");
|
||||
return false;
|
||||
}
|
||||
|
||||
auto res = pmid_model->compute(ctx.n_threads,
|
||||
id_image_tensor,
|
||||
prepared_id_condition.c_crossattn,
|
||||
id_embeds,
|
||||
class_tokens_mask);
|
||||
if (res.empty()) {
|
||||
LOG_ERROR("Photomaker ID Stacking failed");
|
||||
LOG_WARN("Turn off PhotoMaker for this request");
|
||||
return false;
|
||||
}
|
||||
|
||||
prepared_id_condition.c_crossattn = std::move(res);
|
||||
int64_t t1 = ggml_time_ms();
|
||||
id_condition = std::move(prepared_id_condition);
|
||||
start_merge_step = int(ctx.pm_params.style_strength / 100.f * ctx.total_steps);
|
||||
ctx.condition_params.text = remove_photomaker_trigger_from_prompt(*clip_conditioner,
|
||||
ctx.condition_params.text,
|
||||
trigger_word);
|
||||
LOG_INFO("Photomaker ID Stacking, taking %" PRId64 " ms", t1 - t0);
|
||||
LOG_INFO("PHOTOMAKER: start_merge_step: %d", start_merge_step);
|
||||
|
||||
if (ctx.free_params_immediately) {
|
||||
pmid_model->free_params_buffer();
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
const SDCondition& before_condition(int step,
|
||||
const SDCondition& condition) const override {
|
||||
if (!id_condition.empty() && start_merge_step != -1 && step > start_merge_step) {
|
||||
return id_condition;
|
||||
}
|
||||
return condition;
|
||||
}
|
||||
};
|
||||
|
||||
std::shared_ptr<GenerationExtension> create_photomaker_extension() {
|
||||
return std::make_shared<PhotoMakerExtension>();
|
||||
}
|
||||
|
|
@ -1,11 +1,8 @@
|
|||
#ifndef __MODEL_H__
|
||||
#define __MODEL_H__
|
||||
|
||||
#include <functional>
|
||||
#include <map>
|
||||
#include <memory>
|
||||
#include <set>
|
||||
#include <string>
|
||||
#include <utility>
|
||||
#include <vector>
|
||||
|
||||
#include "core/ordered_map.hpp"
|
||||
|
|
@ -238,74 +235,4 @@ enum PMVersion {
|
|||
typedef OrderedMap<std::string, TensorStorage> String2TensorStorage;
|
||||
using TensorTypeRules = std::vector<std::pair<std::string, ggml_type>>;
|
||||
|
||||
TensorTypeRules parse_tensor_type_rules(const std::string& tensor_type_rules);
|
||||
|
||||
class MmapWrapper;
|
||||
|
||||
struct ModelFileData {
|
||||
std::string path;
|
||||
std::vector<TensorStorage> tensors;
|
||||
std::shared_ptr<MmapWrapper> mmapped;
|
||||
std::shared_ptr<struct ggml_backend_buffer> mmbuffer;
|
||||
bool is_zip;
|
||||
};
|
||||
|
||||
struct MmapTensorStore {
|
||||
std::shared_ptr<MmapWrapper> mmapped;
|
||||
std::shared_ptr<struct ggml_backend_buffer> mmbuffer;
|
||||
};
|
||||
|
||||
class ModelLoader {
|
||||
protected:
|
||||
SDVersion version_ = VERSION_COUNT;
|
||||
std::vector<std::string> file_paths_;
|
||||
std::vector<ModelFileData> file_data;
|
||||
bool model_files_processed = false;
|
||||
String2TensorStorage tensor_storage_map;
|
||||
|
||||
void add_tensor_storage(const TensorStorage& tensor_storage);
|
||||
|
||||
bool init_from_gguf_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool init_from_safetensors_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool init_from_torch_zip_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool init_from_torch_legacy_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool init_from_diffusers_file(const std::string& file_path, const std::string& prefix = "");
|
||||
|
||||
public:
|
||||
bool init_from_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool has_diffusion_model_tensors();
|
||||
void convert_tensors_name();
|
||||
bool init_from_file_and_convert_name(const std::string& file_path,
|
||||
const std::string& prefix = "",
|
||||
SDVersion version = VERSION_COUNT);
|
||||
SDVersion get_sd_version();
|
||||
std::map<ggml_type, uint32_t> get_wtype_stat();
|
||||
std::map<ggml_type, uint32_t> get_conditioner_wtype_stat();
|
||||
std::map<ggml_type, uint32_t> get_diffusion_model_wtype_stat();
|
||||
std::map<ggml_type, uint32_t> get_vae_wtype_stat();
|
||||
String2TensorStorage& get_tensor_storage_map() { return tensor_storage_map; }
|
||||
void set_wtype_override(ggml_type wtype, std::string tensor_type_rules = "");
|
||||
void process_model_files(bool enable_mmap = false, bool writable_mmap = true);
|
||||
std::vector<MmapTensorStore> mmap_tensors(std::map<std::string, ggml_tensor*>& tensors,
|
||||
std::set<std::string> ignore_tensors = {},
|
||||
bool writable = true);
|
||||
bool load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_threads = 0, bool use_mmap = false);
|
||||
bool load_tensors(std::map<std::string, ggml_tensor*>& tensors,
|
||||
std::set<std::string> ignore_tensors = {},
|
||||
int n_threads = 0,
|
||||
bool use_mmap = false);
|
||||
|
||||
std::vector<std::string> get_tensor_names() const {
|
||||
std::vector<std::string> names;
|
||||
for (const auto& [name, tensor_storage] : tensor_storage_map) {
|
||||
names.push_back(name);
|
||||
}
|
||||
return names;
|
||||
}
|
||||
|
||||
bool tensor_should_be_converted(const TensorStorage& tensor_storage, ggml_type type);
|
||||
int64_t get_params_mem_size(ggml_backend_t backend, ggml_type type = GGML_TYPE_COUNT);
|
||||
~ModelLoader() = default;
|
||||
};
|
||||
|
||||
#endif // __MODEL_H__
|
||||
|
|
|
|||
|
|
@ -3,6 +3,7 @@
|
|||
|
||||
#include <mutex>
|
||||
#include "core/ggml_extend.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
#define LORA_GRAPH_BASE_SIZE 10240
|
||||
|
||||
|
|
|
|||
|
|
@ -6,6 +6,7 @@
|
|||
#include "model/adapter/lora.hpp"
|
||||
#include "model/common/block.hpp"
|
||||
#include "model/te/clip.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
struct FuseBlock : public GGMLBlock {
|
||||
// network hparams
|
||||
|
|
|
|||
|
|
@ -1,8 +1,8 @@
|
|||
#ifndef __SD_MODEL_DIFFUSION_CONTROL_HPP__
|
||||
#define __SD_MODEL_DIFFUSION_CONTROL_HPP__
|
||||
|
||||
#include "model.h"
|
||||
#include "model/common/block.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
#define CONTROL_NET_GRAPH_SIZE 1536
|
||||
|
||||
|
|
|
|||
|
|
@ -4,10 +4,10 @@
|
|||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
#include "model.h"
|
||||
#include "model/common/rope.hpp"
|
||||
#include "model/diffusion/dit.hpp"
|
||||
#include "model/diffusion/model.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
#define FLUX_GRAPH_SIZE 10240
|
||||
|
||||
|
|
|
|||
|
|
@ -13,6 +13,7 @@
|
|||
#include "model/common/rope.hpp"
|
||||
#include "model/diffusion/flux.hpp"
|
||||
#include "model/diffusion/model.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
namespace LTXV {
|
||||
|
||||
|
|
|
|||
|
|
@ -7,9 +7,9 @@
|
|||
#include <vector>
|
||||
|
||||
#include "core/ggml_extend.hpp"
|
||||
#include "model.h"
|
||||
#include "model/common/block.hpp"
|
||||
#include "model/diffusion/model.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
#define MMDIT_GRAPH_SIZE 10240
|
||||
|
||||
|
|
|
|||
|
|
@ -6,6 +6,7 @@
|
|||
#include "model/common/block.hpp"
|
||||
#include "model/diffusion/flux.hpp"
|
||||
#include "model/diffusion/model.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
namespace Qwen {
|
||||
constexpr int QWEN_IMAGE_GRAPH_SIZE = 20480;
|
||||
|
|
|
|||
|
|
@ -9,6 +9,7 @@
|
|||
#include "model/common/rope.hpp"
|
||||
#include "model/diffusion/flux.hpp"
|
||||
#include "model/diffusion/model.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
namespace WAN {
|
||||
|
||||
|
|
|
|||
|
|
@ -7,6 +7,7 @@
|
|||
#include "model/diffusion/flux.hpp"
|
||||
#include "model/diffusion/mmdit.hpp"
|
||||
#include "model/diffusion/model.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
// Ref: https://github.com/Alpha-VLLM/Lumina-Image-2.0/blob/main/model/model.py
|
||||
// Ref: https://github.com/huggingface/diffusers/pull/12703
|
||||
|
|
|
|||
|
|
@ -21,6 +21,7 @@
|
|||
#include "core/ggml_extend.hpp"
|
||||
#include "json.hpp"
|
||||
#include "model/common/rope.hpp"
|
||||
#include "model_loader.h"
|
||||
#include "tokenizers/bpe_tokenizer.h"
|
||||
#include "tokenizers/gemma_tokenizer.h"
|
||||
#include "tokenizers/gpt_oss_tokenizer.h"
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@
|
|||
#include <unordered_map>
|
||||
|
||||
#include "core/ggml_extend.hpp"
|
||||
#include "model.h"
|
||||
#include "model_loader.h"
|
||||
#include "tokenizers/t5_unigram_tokenizer.h"
|
||||
|
||||
struct T5Config {
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
#define __SD_MODEL_UPSCALER_ESRGAN_HPP__
|
||||
|
||||
#include "core/ggml_extend.hpp"
|
||||
#include "model.h"
|
||||
#include "model_loader.h"
|
||||
|
||||
/*
|
||||
=================================== ESRGAN ===================================
|
||||
|
|
|
|||
|
|
@ -14,8 +14,8 @@
|
|||
#include "core/ggml_extend.hpp"
|
||||
#include "core/ggml_graph_cut.h"
|
||||
#include "core/util.h"
|
||||
#include "model.h"
|
||||
#include "model/diffusion/dit.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
namespace LTXVUpsampler {
|
||||
constexpr int LTX_UPSAMPLER_GRAPH_SIZE = 10240;
|
||||
|
|
|
|||
|
|
@ -8,6 +8,7 @@
|
|||
#include <vector>
|
||||
|
||||
#include "core/ggml_extend.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
namespace LTXV {
|
||||
|
||||
|
|
|
|||
|
|
@ -12,6 +12,7 @@
|
|||
#include "model/diffusion/ltxv.hpp"
|
||||
#include "model/vae/vae.hpp"
|
||||
#include "model/vae/wan_vae.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
namespace LTXVAE {
|
||||
|
||||
|
|
|
|||
|
|
@ -7,6 +7,7 @@
|
|||
|
||||
#include "model/common/block.hpp"
|
||||
#include "model/vae/vae.hpp"
|
||||
#include "model_loader.h"
|
||||
|
||||
namespace WAN {
|
||||
|
||||
|
|
|
|||
|
|
@ -14,11 +14,11 @@
|
|||
#include <vector>
|
||||
|
||||
#include "core/util.h"
|
||||
#include "model.h"
|
||||
#include "model_io/gguf_io.h"
|
||||
#include "model_io/safetensors_io.h"
|
||||
#include "model_io/torch_legacy_io.h"
|
||||
#include "model_io/torch_zip_io.h"
|
||||
#include "model_loader.h"
|
||||
#include "stable-diffusion.h"
|
||||
|
||||
#include "core/ggml_extend_backend.h"
|
||||
83
otherarch/sdcpp/src/model_loader.h
Normal file
83
otherarch/sdcpp/src/model_loader.h
Normal file
|
|
@ -0,0 +1,83 @@
|
|||
#ifndef __MODEL_LOADER_H__
|
||||
#define __MODEL_LOADER_H__
|
||||
|
||||
#include <cstdint>
|
||||
#include <map>
|
||||
#include <memory>
|
||||
#include <set>
|
||||
#include <string>
|
||||
#include <vector>
|
||||
|
||||
#include "model.h"
|
||||
|
||||
TensorTypeRules parse_tensor_type_rules(const std::string& tensor_type_rules);
|
||||
|
||||
class MmapWrapper;
|
||||
|
||||
struct ModelFileData {
|
||||
std::string path;
|
||||
std::vector<TensorStorage> tensors;
|
||||
std::shared_ptr<MmapWrapper> mmapped;
|
||||
std::shared_ptr<struct ggml_backend_buffer> mmbuffer;
|
||||
bool is_zip;
|
||||
};
|
||||
|
||||
struct MmapTensorStore {
|
||||
std::shared_ptr<MmapWrapper> mmapped;
|
||||
std::shared_ptr<struct ggml_backend_buffer> mmbuffer;
|
||||
};
|
||||
|
||||
class ModelLoader {
|
||||
protected:
|
||||
SDVersion version_ = VERSION_COUNT;
|
||||
std::vector<std::string> file_paths_;
|
||||
std::vector<ModelFileData> file_data;
|
||||
bool model_files_processed = false;
|
||||
String2TensorStorage tensor_storage_map;
|
||||
|
||||
void add_tensor_storage(const TensorStorage& tensor_storage);
|
||||
|
||||
bool init_from_gguf_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool init_from_safetensors_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool init_from_torch_zip_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool init_from_torch_legacy_file(const std::string& file_path, const std::string& prefix = "");
|
||||
bool init_from_diffusers_file(const std::string& file_path, const std::string& prefix = "");
|
||||
|
||||
public:
|
||||
bool init_from_file(const std::string& file_path, const std::string& prefix = "");
|
||||
void convert_tensors_name();
|
||||
bool init_from_file_and_convert_name(const std::string& file_path,
|
||||
const std::string& prefix = "",
|
||||
SDVersion version = VERSION_COUNT);
|
||||
SDVersion get_sd_version();
|
||||
std::map<ggml_type, uint32_t> get_wtype_stat();
|
||||
std::map<ggml_type, uint32_t> get_conditioner_wtype_stat();
|
||||
std::map<ggml_type, uint32_t> get_diffusion_model_wtype_stat();
|
||||
std::map<ggml_type, uint32_t> get_vae_wtype_stat();
|
||||
String2TensorStorage& get_tensor_storage_map() { return tensor_storage_map; }
|
||||
void set_wtype_override(ggml_type wtype, std::string tensor_type_rules = "");
|
||||
void process_model_files(bool enable_mmap = false, bool writable_mmap = true);
|
||||
std::vector<MmapTensorStore> mmap_tensors(std::map<std::string, ggml_tensor*>& tensors,
|
||||
std::set<std::string> ignore_tensors = {},
|
||||
bool writable = true);
|
||||
bool load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_threads = 0, bool use_mmap = false);
|
||||
bool load_tensors(std::map<std::string, ggml_tensor*>& tensors,
|
||||
std::set<std::string> ignore_tensors = {},
|
||||
int n_threads = 0,
|
||||
bool use_mmap = false);
|
||||
|
||||
std::vector<std::string> get_tensor_names() const {
|
||||
std::vector<std::string> names;
|
||||
for (const auto& [name, tensor_storage] : tensor_storage_map) {
|
||||
names.push_back(name);
|
||||
}
|
||||
return names;
|
||||
}
|
||||
|
||||
bool tensor_should_be_converted(const TensorStorage& tensor_storage, ggml_type type);
|
||||
int64_t get_params_mem_size(ggml_backend_t backend, ggml_type type = GGML_TYPE_COUNT);
|
||||
~ModelLoader() = default;
|
||||
bool has_diffusion_model_tensors();
|
||||
};
|
||||
|
||||
#endif // __MODEL_LOADER_H__
|
||||
|
|
@ -1,3 +1,4 @@
|
|||
#include <map>
|
||||
#include <unordered_map>
|
||||
#include <unordered_set>
|
||||
|
||||
|
|
|
|||
|
|
@ -10,7 +10,7 @@
|
|||
|
||||
#include "core/ggml_extend.hpp"
|
||||
#include "core/tensor.hpp"
|
||||
#include "runtime/gits_noise.inl"
|
||||
#include "runtime/gits_noise.h"
|
||||
#include "runtime/guidance.h"
|
||||
|
||||
/*================================================= CompVisDenoiser ==================================================*/
|
||||
|
|
|
|||
333
otherarch/sdcpp/src/runtime/gits_noise.h
Normal file
333
otherarch/sdcpp/src/runtime/gits_noise.h
Normal file
|
|
@ -0,0 +1,333 @@
|
|||
#ifndef __SD_RUNTIME_GITS_NOISE_H__
|
||||
#define __SD_RUNTIME_GITS_NOISE_H__
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_0_80 = {
|
||||
{14.61464119f, 7.49001646f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 6.77309084f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 3.07277966f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 2.05039096f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 2.05039096f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 8.75849152f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 8.75849152f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.07277966f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.19567990f, 1.98035145f, 0.86115354f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.19567990f, 1.98035145f, 0.86115354f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.88507891f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.07277966f, 1.84880662f, 0.83188516f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_0_85 = {
|
||||
{14.61464119f, 7.49001646f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 1.84880662f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 6.77309084f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.11996698f, 3.07277966f, 1.24153244f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.09240818f, 2.84484982f, 0.95350921f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.09240818f, 2.84484982f, 0.95350921f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.58536053f, 3.19567990f, 1.84880662f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 11.54541874f, 8.75849152f, 7.49001646f, 5.58536053f, 3.19567990f, 1.84880662f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 11.54541874f, 8.75849152f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 8.75849152f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.60512662f, 2.63833880f, 1.56271636f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.88507891f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_0_90 = {
|
||||
{14.61464119f, 6.77309084f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 3.07277966f, 0.95350921f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.54230714f, 0.89115214f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 2.54230714f, 0.89115214f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.09240818f, 3.07277966f, 1.61558151f, 0.69515091f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.11996698f, 4.86714602f, 3.07277966f, 1.61558151f, 0.69515091f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 2.95596409f, 1.61558151f, 0.69515091f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.19988537f, 1.24153244f, 0.57119018f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 10.90732002f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.19988537f, 1.24153244f, 0.57119018f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.19988537f, 1.24153244f, 0.57119018f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.75677586f, 2.84484982f, 1.84880662f, 1.08895338f, 0.52423614f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.75677586f, 2.84484982f, 1.84880662f, 1.08895338f, 0.52423614f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.44769001f, 5.58536053f, 4.45427561f, 3.32507086f, 2.45070267f, 1.61558151f, 0.95350921f, 0.45573691f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.44769001f, 5.58536053f, 4.45427561f, 3.32507086f, 2.45070267f, 1.61558151f, 0.95350921f, 0.45573691f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.86714602f, 3.91689563f, 3.07277966f, 2.27973175f, 1.56271636f, 0.95350921f, 0.45573691f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.86714602f, 3.91689563f, 3.07277966f, 2.27973175f, 1.56271636f, 0.95350921f, 0.45573691f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.86714602f, 3.91689563f, 3.07277966f, 2.27973175f, 1.56271636f, 0.95350921f, 0.45573691f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.45427561f, 3.60512662f, 2.95596409f, 2.19988537f, 1.51179266f, 0.89115214f, 0.43325692f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_0_95 = {
|
||||
{14.61464119f, 6.77309084f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 2.84484982f, 0.89115214f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.36326075f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.95596409f, 1.56271636f, 0.64427125f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 2.95596409f, 1.56271636f, 0.64427125f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 3.07277966f, 1.91321158f, 1.08895338f, 0.50118381f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.07277966f, 1.91321158f, 1.08895338f, 0.50118381f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.07277966f, 1.91321158f, 1.08895338f, 0.50118381f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.19988537f, 1.41535246f, 0.803307f, 0.38853383f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.46139455f, 2.63833880f, 1.84880662f, 1.24153244f, 0.72133851f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 10.90732002f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.46139455f, 2.63833880f, 1.84880662f, 1.24153244f, 0.72133851f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 10.90732002f, 8.75849152f, 7.49001646f, 6.14220476f, 4.86714602f, 3.75677586f, 2.95596409f, 2.19988537f, 1.56271636f, 1.05362725f, 0.64427125f, 0.32104823f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 10.90732002f, 8.75849152f, 7.49001646f, 6.44769001f, 5.58536053f, 4.65472794f, 3.60512662f, 2.95596409f, 2.19988537f, 1.56271636f, 1.05362725f, 0.64427125f, 0.32104823f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 6.44769001f, 5.58536053f, 4.65472794f, 3.60512662f, 2.95596409f, 2.19988537f, 1.56271636f, 1.05362725f, 0.64427125f, 0.32104823f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 6.44769001f, 5.58536053f, 4.65472794f, 3.75677586f, 3.07277966f, 2.45070267f, 1.78698075f, 1.24153244f, 0.83188516f, 0.50118381f, 0.22545385f, 0.02916753f},
|
||||
{14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.45427561f, 3.60512662f, 2.95596409f, 2.36326075f, 1.72759056f, 1.24153244f, 0.83188516f, 0.50118381f, 0.22545385f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.45427561f, 3.60512662f, 2.95596409f, 2.36326075f, 1.72759056f, 1.24153244f, 0.83188516f, 0.50118381f, 0.22545385f, 0.02916753f},
|
||||
{14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.45427561f, 3.75677586f, 3.07277966f, 2.45070267f, 1.91321158f, 1.46270394f, 1.05362725f, 0.72133851f, 0.43325692f, 0.19894916f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_00 = {
|
||||
{14.61464119f, 1.56271636f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 0.95350921f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 2.36326075f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 7.11996698f, 3.07277966f, 1.56271636f, 0.59516323f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.41535246f, 0.57119018f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.61558151f, 0.86115354f, 0.38853383f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 2.84484982f, 1.61558151f, 0.86115354f, 0.38853383f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 3.07277966f, 1.98035145f, 1.24153244f, 0.72133851f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.07277966f, 1.98035145f, 1.24153244f, 0.72133851f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.27973175f, 1.51179266f, 0.95350921f, 0.54755926f, 0.25053367f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.36326075f, 1.61558151f, 1.08895338f, 0.72133851f, 0.41087446f, 0.17026083f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.36326075f, 1.61558151f, 1.08895338f, 0.72133851f, 0.41087446f, 0.17026083f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.84484982f, 2.12350607f, 1.56271636f, 1.08895338f, 0.72133851f, 0.41087446f, 0.17026083f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.84484982f, 2.19988537f, 1.61558151f, 1.162866f, 0.803307f, 0.50118381f, 0.27464288f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.75677586f, 3.07277966f, 2.45070267f, 1.84880662f, 1.36964464f, 1.01931262f, 0.72133851f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 6.14220476f, 5.09240818f, 4.26497746f, 3.46139455f, 2.84484982f, 2.19988537f, 1.67050016f, 1.24153244f, 0.92192322f, 0.64427125f, 0.43325692f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 6.14220476f, 5.09240818f, 4.26497746f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.12534678f, 0.83188516f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 5.09240818f, 4.26497746f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.12534678f, 0.83188516f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 12.23089790f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.26497746f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.12534678f, 0.83188516f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_05 = {
|
||||
{14.61464119f, 0.95350921f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 0.89115214f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 2.05039096f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 2.84484982f, 1.28281462f, 0.52423614f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 3.07277966f, 1.61558151f, 0.803307f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.56271636f, 0.803307f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.61558151f, 0.95350921f, 0.52423614f, 0.22545385f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 1.98035145f, 1.24153244f, 0.74807048f, 0.41087446f, 0.17026083f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.27973175f, 1.51179266f, 0.95350921f, 0.59516323f, 0.34370604f, 0.13792117f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 5.09240818f, 3.46139455f, 2.45070267f, 1.61558151f, 1.08895338f, 0.72133851f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.09240818f, 3.46139455f, 2.45070267f, 1.61558151f, 1.08895338f, 0.72133851f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.36326075f, 1.61558151f, 1.08895338f, 0.72133851f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.45070267f, 1.72759056f, 1.24153244f, 0.86115354f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.84484982f, 2.19988537f, 1.61558151f, 1.162866f, 0.83188516f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.84484982f, 2.19988537f, 1.67050016f, 1.28281462f, 0.95350921f, 0.72133851f, 0.52423614f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.95596409f, 2.36326075f, 1.84880662f, 1.41535246f, 1.08895338f, 0.83188516f, 0.61951244f, 0.45573691f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.20157266f, 0.95350921f, 0.74807048f, 0.57119018f, 0.43325692f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 8.30717278f, 7.11996698f, 5.85520077f, 4.65472794f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.20157266f, 0.95350921f, 0.74807048f, 0.57119018f, 0.43325692f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 8.30717278f, 7.11996698f, 5.85520077f, 4.65472794f, 3.60512662f, 2.95596409f, 2.45070267f, 1.98035145f, 1.61558151f, 1.32549286f, 1.08895338f, 0.86115354f, 0.69515091f, 0.54755926f, 0.41087446f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_10 = {
|
||||
{14.61464119f, 0.89115214f, 0.02916753f},
|
||||
{14.61464119f, 2.36326075f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 1.61558151f, 0.57119018f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 2.45070267f, 1.08895338f, 0.45573691f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 2.95596409f, 1.56271636f, 0.803307f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 3.07277966f, 1.61558151f, 0.89115214f, 0.4783645f, 0.19894916f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 3.07277966f, 1.84880662f, 1.08895338f, 0.64427125f, 0.34370604f, 0.13792117f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.61558151f, 0.95350921f, 0.54755926f, 0.27464288f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.95596409f, 1.91321158f, 1.24153244f, 0.803307f, 0.4783645f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.05039096f, 1.41535246f, 0.95350921f, 0.64427125f, 0.41087446f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.27973175f, 1.61558151f, 1.12534678f, 0.803307f, 0.54755926f, 0.36617002f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.32507086f, 2.45070267f, 1.72759056f, 1.24153244f, 0.89115214f, 0.64427125f, 0.45573691f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 5.09240818f, 3.60512662f, 2.84484982f, 2.05039096f, 1.51179266f, 1.08895338f, 0.803307f, 0.59516323f, 0.43325692f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 5.09240818f, 3.60512662f, 2.84484982f, 2.12350607f, 1.61558151f, 1.24153244f, 0.95350921f, 0.72133851f, 0.54755926f, 0.41087446f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.45070267f, 1.84880662f, 1.41535246f, 1.08895338f, 0.83188516f, 0.64427125f, 0.50118381f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.45070267f, 1.91321158f, 1.51179266f, 1.20157266f, 0.95350921f, 0.74807048f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 5.85520077f, 4.45427561f, 3.46139455f, 2.84484982f, 2.19988537f, 1.72759056f, 1.36964464f, 1.08895338f, 0.86115354f, 0.69515091f, 0.54755926f, 0.43325692f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.46139455f, 2.84484982f, 2.19988537f, 1.72759056f, 1.36964464f, 1.08895338f, 0.86115354f, 0.69515091f, 0.54755926f, 0.43325692f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.46139455f, 2.84484982f, 2.19988537f, 1.72759056f, 1.36964464f, 1.08895338f, 0.89115214f, 0.72133851f, 0.59516323f, 0.4783645f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_15 = {
|
||||
{14.61464119f, 0.83188516f, 0.02916753f},
|
||||
{14.61464119f, 1.84880662f, 0.59516323f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 1.56271636f, 0.52423614f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 1.91321158f, 0.83188516f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.45070267f, 1.24153244f, 0.59516323f, 0.25053367f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.51179266f, 0.803307f, 0.41087446f, 0.17026083f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.56271636f, 0.89115214f, 0.50118381f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 3.07277966f, 1.84880662f, 1.12534678f, 0.72133851f, 0.43325692f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 3.07277966f, 1.91321158f, 1.24153244f, 0.803307f, 0.52423614f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 2.95596409f, 1.91321158f, 1.24153244f, 0.803307f, 0.52423614f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.05039096f, 1.36964464f, 0.95350921f, 0.69515091f, 0.4783645f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.803307f, 0.59516323f, 0.43325692f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.803307f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.19988537f, 1.61558151f, 1.24153244f, 0.95350921f, 0.74807048f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.45070267f, 1.78698075f, 1.32549286f, 1.01931262f, 0.803307f, 0.64427125f, 0.50118381f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.45070267f, 1.78698075f, 1.32549286f, 1.01931262f, 0.803307f, 0.64427125f, 0.52423614f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.45070267f, 1.84880662f, 1.41535246f, 1.12534678f, 0.89115214f, 0.72133851f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.45070267f, 1.84880662f, 1.41535246f, 1.12534678f, 0.89115214f, 0.72133851f, 0.59516323f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_20 = {
|
||||
{14.61464119f, 0.803307f, 0.02916753f},
|
||||
{14.61464119f, 1.56271636f, 0.52423614f, 0.02916753f},
|
||||
{14.61464119f, 2.36326075f, 0.92192322f, 0.36617002f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.24153244f, 0.59516323f, 0.25053367f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.05039096f, 0.95350921f, 0.45573691f, 0.17026083f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.45070267f, 1.24153244f, 0.64427125f, 0.29807833f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.45070267f, 1.36964464f, 0.803307f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 0.95350921f, 0.59516323f, 0.36617002f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.67050016f, 1.08895338f, 0.74807048f, 0.50118381f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.95596409f, 1.84880662f, 1.24153244f, 0.83188516f, 0.59516323f, 0.41087446f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 3.07277966f, 1.98035145f, 1.36964464f, 0.95350921f, 0.69515091f, 0.50118381f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 3.46139455f, 2.36326075f, 1.56271636f, 1.08895338f, 0.803307f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 6.77309084f, 3.46139455f, 2.45070267f, 1.61558151f, 1.162866f, 0.86115354f, 0.64427125f, 0.50118381f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.83188516f, 0.64427125f, 0.50118381f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.83188516f, 0.64427125f, 0.50118381f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.83188516f, 0.64427125f, 0.50118381f, 0.41087446f, 0.34370604f, 0.27464288f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.19988537f, 1.61558151f, 1.20157266f, 0.92192322f, 0.72133851f, 0.57119018f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.19988537f, 1.61558151f, 1.24153244f, 0.95350921f, 0.74807048f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.19988537f, 1.61558151f, 1.24153244f, 0.95350921f, 0.74807048f, 0.59516323f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_25 = {
|
||||
{14.61464119f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 1.56271636f, 0.50118381f, 0.02916753f},
|
||||
{14.61464119f, 2.05039096f, 0.803307f, 0.32104823f, 0.02916753f},
|
||||
{14.61464119f, 2.36326075f, 0.95350921f, 0.43325692f, 0.17026083f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.24153244f, 0.59516323f, 0.27464288f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 3.07277966f, 1.51179266f, 0.803307f, 0.43325692f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.36326075f, 1.24153244f, 0.72133851f, 0.41087446f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.45070267f, 1.36964464f, 0.83188516f, 0.52423614f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 0.98595673f, 0.64427125f, 0.43325692f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.67050016f, 1.08895338f, 0.74807048f, 0.52423614f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.72759056f, 1.162866f, 0.803307f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.95596409f, 1.84880662f, 1.24153244f, 0.86115354f, 0.64427125f, 0.4783645f, 0.36617002f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.95596409f, 1.84880662f, 1.28281462f, 0.92192322f, 0.69515091f, 0.52423614f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.95596409f, 1.91321158f, 1.32549286f, 0.95350921f, 0.72133851f, 0.54755926f, 0.43325692f, 0.34370604f, 0.27464288f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.95596409f, 1.91321158f, 1.32549286f, 0.95350921f, 0.72133851f, 0.57119018f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.95596409f, 1.91321158f, 1.32549286f, 0.95350921f, 0.74807048f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 3.07277966f, 2.05039096f, 1.41535246f, 1.05362725f, 0.803307f, 0.61951244f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 3.07277966f, 2.05039096f, 1.41535246f, 1.05362725f, 0.803307f, 0.64427125f, 0.52423614f, 0.43325692f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 3.07277966f, 2.05039096f, 1.46270394f, 1.08895338f, 0.83188516f, 0.66947293f, 0.54755926f, 0.45573691f, 0.38853383f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_30 = {
|
||||
{14.61464119f, 0.72133851f, 0.02916753f},
|
||||
{14.61464119f, 1.24153244f, 0.43325692f, 0.02916753f},
|
||||
{14.61464119f, 1.56271636f, 0.59516323f, 0.22545385f, 0.02916753f},
|
||||
{14.61464119f, 1.84880662f, 0.803307f, 0.36617002f, 0.13792117f, 0.02916753f},
|
||||
{14.61464119f, 2.36326075f, 1.01931262f, 0.52423614f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.36964464f, 0.74807048f, 0.41087446f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 3.07277966f, 1.56271636f, 0.89115214f, 0.54755926f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 3.07277966f, 1.61558151f, 0.95350921f, 0.61951244f, 0.41087446f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.45070267f, 1.36964464f, 0.83188516f, 0.54755926f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.45070267f, 1.41535246f, 0.92192322f, 0.64427125f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.6383388f, 1.56271636f, 1.01931262f, 0.72133851f, 0.50118381f, 0.36617002f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 1.05362725f, 0.74807048f, 0.54755926f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 1.08895338f, 0.77538133f, 0.57119018f, 0.43325692f, 0.34370604f, 0.27464288f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.59516323f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.72759056f, 1.162866f, 0.83188516f, 0.64427125f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.72759056f, 1.162866f, 0.83188516f, 0.64427125f, 0.52423614f, 0.43325692f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.78698075f, 1.24153244f, 0.92192322f, 0.72133851f, 0.57119018f, 0.45573691f, 0.38853383f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.84484982f, 1.78698075f, 1.24153244f, 0.92192322f, 0.72133851f, 0.57119018f, 0.4783645f, 0.41087446f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_35 = {
|
||||
{14.61464119f, 0.69515091f, 0.02916753f},
|
||||
{14.61464119f, 0.95350921f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 1.56271636f, 0.57119018f, 0.19894916f, 0.02916753f},
|
||||
{14.61464119f, 1.61558151f, 0.69515091f, 0.29807833f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.84880662f, 0.83188516f, 0.43325692f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.162866f, 0.64427125f, 0.36617002f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.36964464f, 0.803307f, 0.50118381f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.41535246f, 0.83188516f, 0.54755926f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.56271636f, 0.95350921f, 0.64427125f, 0.45573691f, 0.32104823f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.56271636f, 0.95350921f, 0.64427125f, 0.45573691f, 0.34370604f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 3.07277966f, 1.61558151f, 1.01931262f, 0.72133851f, 0.52423614f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 3.07277966f, 1.61558151f, 1.01931262f, 0.72133851f, 0.52423614f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 3.07277966f, 1.61558151f, 1.05362725f, 0.74807048f, 0.54755926f, 0.43325692f, 0.34370604f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 3.07277966f, 1.72759056f, 1.12534678f, 0.803307f, 0.59516323f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 3.07277966f, 1.72759056f, 1.12534678f, 0.803307f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.45070267f, 1.51179266f, 1.01931262f, 0.74807048f, 0.57119018f, 0.45573691f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.6383388f, 1.61558151f, 1.08895338f, 0.803307f, 0.61951244f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.6383388f, 1.61558151f, 1.08895338f, 0.803307f, 0.64427125f, 0.52423614f, 0.43325692f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 5.85520077f, 2.6383388f, 1.61558151f, 1.08895338f, 0.803307f, 0.64427125f, 0.52423614f, 0.45573691f, 0.38853383f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_40 = {
|
||||
{14.61464119f, 0.59516323f, 0.02916753f},
|
||||
{14.61464119f, 0.95350921f, 0.34370604f, 0.02916753f},
|
||||
{14.61464119f, 1.08895338f, 0.43325692f, 0.13792117f, 0.02916753f},
|
||||
{14.61464119f, 1.56271636f, 0.64427125f, 0.27464288f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.61558151f, 0.803307f, 0.43325692f, 0.22545385f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.05039096f, 0.95350921f, 0.54755926f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.24153244f, 0.72133851f, 0.43325692f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.24153244f, 0.74807048f, 0.50118381f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.28281462f, 0.803307f, 0.52423614f, 0.36617002f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.28281462f, 0.803307f, 0.54755926f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.41535246f, 0.86115354f, 0.59516323f, 0.43325692f, 0.32104823f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.51179266f, 0.95350921f, 0.64427125f, 0.45573691f, 0.34370604f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.51179266f, 0.95350921f, 0.64427125f, 0.4783645f, 0.36617002f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.56271636f, 0.98595673f, 0.69515091f, 0.52423614f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.56271636f, 1.01931262f, 0.72133851f, 0.54755926f, 0.43325692f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.61558151f, 1.05362725f, 0.74807048f, 0.57119018f, 0.45573691f, 0.38853383f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.61951244f, 0.50118381f, 0.41087446f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.61951244f, 0.50118381f, 0.43325692f, 0.38853383f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.64427125f, 0.52423614f, 0.45573691f, 0.41087446f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_45 = {
|
||||
{14.61464119f, 0.59516323f, 0.02916753f},
|
||||
{14.61464119f, 0.803307f, 0.25053367f, 0.02916753f},
|
||||
{14.61464119f, 0.95350921f, 0.34370604f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.24153244f, 0.54755926f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.56271636f, 0.72133851f, 0.36617002f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.61558151f, 0.803307f, 0.45573691f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.91321158f, 0.95350921f, 0.57119018f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.19988537f, 1.08895338f, 0.64427125f, 0.41087446f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.24153244f, 0.74807048f, 0.50118381f, 0.34370604f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.24153244f, 0.74807048f, 0.50118381f, 0.36617002f, 0.27464288f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.28281462f, 0.803307f, 0.54755926f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.28281462f, 0.803307f, 0.57119018f, 0.43325692f, 0.34370604f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.28281462f, 0.83188516f, 0.59516323f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.28281462f, 0.83188516f, 0.59516323f, 0.45573691f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.51179266f, 0.95350921f, 0.69515091f, 0.52423614f, 0.41087446f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.51179266f, 0.95350921f, 0.69515091f, 0.52423614f, 0.43325692f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.56271636f, 0.98595673f, 0.72133851f, 0.54755926f, 0.45573691f, 0.38853383f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.56271636f, 1.01931262f, 0.74807048f, 0.57119018f, 0.4783645f, 0.41087446f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.84484982f, 1.56271636f, 1.01931262f, 0.74807048f, 0.59516323f, 0.50118381f, 0.43325692f, 0.38853383f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_50 = {
|
||||
{14.61464119f, 0.54755926f, 0.02916753f},
|
||||
{14.61464119f, 0.803307f, 0.25053367f, 0.02916753f},
|
||||
{14.61464119f, 0.86115354f, 0.32104823f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.24153244f, 0.54755926f, 0.25053367f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.56271636f, 0.72133851f, 0.36617002f, 0.19894916f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.61558151f, 0.803307f, 0.45573691f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.61558151f, 0.83188516f, 0.52423614f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.84880662f, 0.95350921f, 0.59516323f, 0.38853383f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.84880662f, 0.95350921f, 0.59516323f, 0.41087446f, 0.29807833f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 1.84880662f, 0.95350921f, 0.61951244f, 0.43325692f, 0.32104823f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.19988537f, 1.12534678f, 0.72133851f, 0.50118381f, 0.36617002f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.19988537f, 1.12534678f, 0.72133851f, 0.50118381f, 0.36617002f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.36326075f, 1.24153244f, 0.803307f, 0.57119018f, 0.43325692f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.36326075f, 1.24153244f, 0.803307f, 0.57119018f, 0.43325692f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.36326075f, 1.24153244f, 0.803307f, 0.59516323f, 0.45573691f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.36326075f, 1.24153244f, 0.803307f, 0.59516323f, 0.45573691f, 0.38853383f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.32549286f, 0.86115354f, 0.64427125f, 0.50118381f, 0.41087446f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.36964464f, 0.92192322f, 0.69515091f, 0.54755926f, 0.45573691f, 0.41087446f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f},
|
||||
{14.61464119f, 2.45070267f, 1.41535246f, 0.95350921f, 0.72133851f, 0.57119018f, 0.4783645f, 0.43325692f, 0.38853383f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f}};
|
||||
|
||||
const std::vector<const std::vector<std::vector<float>>*> GITS_NOISE = {
|
||||
&GITS_NOISE_0_80,
|
||||
&GITS_NOISE_0_85,
|
||||
&GITS_NOISE_0_90,
|
||||
&GITS_NOISE_0_95,
|
||||
&GITS_NOISE_1_00,
|
||||
&GITS_NOISE_1_05,
|
||||
&GITS_NOISE_1_10,
|
||||
&GITS_NOISE_1_15,
|
||||
&GITS_NOISE_1_20,
|
||||
&GITS_NOISE_1_25,
|
||||
&GITS_NOISE_1_30,
|
||||
&GITS_NOISE_1_35,
|
||||
&GITS_NOISE_1_40,
|
||||
&GITS_NOISE_1_45,
|
||||
&GITS_NOISE_1_50};
|
||||
|
||||
#endif // __SD_RUNTIME_GITS_NOISE_H__
|
||||
|
|
@ -1,349 +0,0 @@
|
|||
#ifndef GITS_NOISE_INL
|
||||
#define GITS_NOISE_INL
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_0_80 = {
|
||||
{ 14.61464119f, 7.49001646f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 6.77309084f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 3.07277966f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 2.05039096f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 2.05039096f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 8.75849152f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 8.75849152f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 5.85520077f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.07277966f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.19567990f, 1.98035145f, 0.86115354f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.19567990f, 1.98035145f, 0.86115354f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.88507891f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.07277966f, 1.84880662f, 0.83188516f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_0_85 = {
|
||||
{ 14.61464119f, 7.49001646f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 1.84880662f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 6.77309084f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.11996698f, 3.07277966f, 1.24153244f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.09240818f, 2.84484982f, 0.95350921f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.09240818f, 2.84484982f, 0.95350921f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.58536053f, 3.19567990f, 1.84880662f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 11.54541874f, 8.75849152f, 7.49001646f, 5.58536053f, 3.19567990f, 1.84880662f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 11.54541874f, 8.75849152f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 8.75849152f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.65472794f, 3.07277966f, 1.84880662f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.60512662f, 2.63833880f, 1.56271636f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.90732002f, 10.31284904f, 9.75859547f, 9.24142551f, 8.75849152f, 8.30717278f, 7.88507891f, 7.49001646f, 6.77309084f, 5.85520077f, 4.65472794f, 3.46139455f, 2.45070267f, 1.56271636f, 0.72133851f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_0_90 = {
|
||||
{ 14.61464119f, 6.77309084f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 3.07277966f, 0.95350921f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.54230714f, 0.89115214f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 2.54230714f, 0.89115214f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.09240818f, 3.07277966f, 1.61558151f, 0.69515091f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.11996698f, 4.86714602f, 3.07277966f, 1.61558151f, 0.69515091f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 2.95596409f, 1.61558151f, 0.69515091f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.19988537f, 1.24153244f, 0.57119018f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 10.90732002f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.19988537f, 1.24153244f, 0.57119018f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.19988537f, 1.24153244f, 0.57119018f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.75677586f, 2.84484982f, 1.84880662f, 1.08895338f, 0.52423614f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 4.86714602f, 3.75677586f, 2.84484982f, 1.84880662f, 1.08895338f, 0.52423614f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.44769001f, 5.58536053f, 4.45427561f, 3.32507086f, 2.45070267f, 1.61558151f, 0.95350921f, 0.45573691f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.44769001f, 5.58536053f, 4.45427561f, 3.32507086f, 2.45070267f, 1.61558151f, 0.95350921f, 0.45573691f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.86714602f, 3.91689563f, 3.07277966f, 2.27973175f, 1.56271636f, 0.95350921f, 0.45573691f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.86714602f, 3.91689563f, 3.07277966f, 2.27973175f, 1.56271636f, 0.95350921f, 0.45573691f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 4.86714602f, 3.91689563f, 3.07277966f, 2.27973175f, 1.56271636f, 0.95350921f, 0.45573691f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.96784878f, 12.23089790f, 11.54541874f, 10.31284904f, 9.24142551f, 8.75849152f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.45427561f, 3.60512662f, 2.95596409f, 2.19988537f, 1.51179266f, 0.89115214f, 0.43325692f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_0_95 = {
|
||||
{ 14.61464119f, 6.77309084f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 2.84484982f, 0.89115214f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.36326075f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.95596409f, 1.56271636f, 0.64427125f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 2.95596409f, 1.56271636f, 0.64427125f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 3.07277966f, 1.91321158f, 1.08895338f, 0.50118381f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.07277966f, 1.91321158f, 1.08895338f, 0.50118381f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.07277966f, 1.91321158f, 1.08895338f, 0.50118381f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.19988537f, 1.41535246f, 0.803307f, 0.38853383f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.46139455f, 2.63833880f, 1.84880662f, 1.24153244f, 0.72133851f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 10.90732002f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.46139455f, 2.63833880f, 1.84880662f, 1.24153244f, 0.72133851f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 10.90732002f, 8.75849152f, 7.49001646f, 6.14220476f, 4.86714602f, 3.75677586f, 2.95596409f, 2.19988537f, 1.56271636f, 1.05362725f, 0.64427125f, 0.32104823f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 10.90732002f, 8.75849152f, 7.49001646f, 6.44769001f, 5.58536053f, 4.65472794f, 3.60512662f, 2.95596409f, 2.19988537f, 1.56271636f, 1.05362725f, 0.64427125f, 0.32104823f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 6.44769001f, 5.58536053f, 4.65472794f, 3.60512662f, 2.95596409f, 2.19988537f, 1.56271636f, 1.05362725f, 0.64427125f, 0.32104823f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 6.44769001f, 5.58536053f, 4.65472794f, 3.75677586f, 3.07277966f, 2.45070267f, 1.78698075f, 1.24153244f, 0.83188516f, 0.50118381f, 0.22545385f, 0.02916753f },
|
||||
{ 14.61464119f, 12.96784878f, 11.54541874f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.45427561f, 3.60512662f, 2.95596409f, 2.36326075f, 1.72759056f, 1.24153244f, 0.83188516f, 0.50118381f, 0.22545385f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.45427561f, 3.60512662f, 2.95596409f, 2.36326075f, 1.72759056f, 1.24153244f, 0.83188516f, 0.50118381f, 0.22545385f, 0.02916753f },
|
||||
{ 14.61464119f, 13.76078796f, 12.23089790f, 10.90732002f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.45427561f, 3.75677586f, 3.07277966f, 2.45070267f, 1.91321158f, 1.46270394f, 1.05362725f, 0.72133851f, 0.43325692f, 0.19894916f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_00 = {
|
||||
{ 14.61464119f, 1.56271636f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 0.95350921f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 2.36326075f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 7.11996698f, 3.07277966f, 1.56271636f, 0.59516323f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.41535246f, 0.57119018f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.61558151f, 0.86115354f, 0.38853383f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 2.84484982f, 1.61558151f, 0.86115354f, 0.38853383f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 4.86714602f, 3.07277966f, 1.98035145f, 1.24153244f, 0.72133851f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.07277966f, 1.98035145f, 1.24153244f, 0.72133851f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.27973175f, 1.51179266f, 0.95350921f, 0.54755926f, 0.25053367f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.36326075f, 1.61558151f, 1.08895338f, 0.72133851f, 0.41087446f, 0.17026083f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.36326075f, 1.61558151f, 1.08895338f, 0.72133851f, 0.41087446f, 0.17026083f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.84484982f, 2.12350607f, 1.56271636f, 1.08895338f, 0.72133851f, 0.41087446f, 0.17026083f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.84484982f, 2.19988537f, 1.61558151f, 1.162866f, 0.803307f, 0.50118381f, 0.27464288f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 5.85520077f, 4.65472794f, 3.75677586f, 3.07277966f, 2.45070267f, 1.84880662f, 1.36964464f, 1.01931262f, 0.72133851f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 6.14220476f, 5.09240818f, 4.26497746f, 3.46139455f, 2.84484982f, 2.19988537f, 1.67050016f, 1.24153244f, 0.92192322f, 0.64427125f, 0.43325692f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 8.75849152f, 7.49001646f, 6.14220476f, 5.09240818f, 4.26497746f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.12534678f, 0.83188516f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 9.24142551f, 8.30717278f, 7.49001646f, 6.14220476f, 5.09240818f, 4.26497746f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.12534678f, 0.83188516f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 12.23089790f, 9.24142551f, 8.30717278f, 7.49001646f, 6.77309084f, 5.85520077f, 5.09240818f, 4.26497746f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.12534678f, 0.83188516f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_05 = {
|
||||
{ 14.61464119f, 0.95350921f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 0.89115214f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 2.05039096f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 2.84484982f, 1.28281462f, 0.52423614f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 3.07277966f, 1.61558151f, 0.803307f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.56271636f, 0.803307f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.61558151f, 0.95350921f, 0.52423614f, 0.22545385f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 1.98035145f, 1.24153244f, 0.74807048f, 0.41087446f, 0.17026083f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.27973175f, 1.51179266f, 0.95350921f, 0.59516323f, 0.34370604f, 0.13792117f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 5.09240818f, 3.46139455f, 2.45070267f, 1.61558151f, 1.08895338f, 0.72133851f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.09240818f, 3.46139455f, 2.45070267f, 1.61558151f, 1.08895338f, 0.72133851f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.36326075f, 1.61558151f, 1.08895338f, 0.72133851f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.45070267f, 1.72759056f, 1.24153244f, 0.86115354f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.84484982f, 2.19988537f, 1.61558151f, 1.162866f, 0.83188516f, 0.59516323f, 0.38853383f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.84484982f, 2.19988537f, 1.67050016f, 1.28281462f, 0.95350921f, 0.72133851f, 0.52423614f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.95596409f, 2.36326075f, 1.84880662f, 1.41535246f, 1.08895338f, 0.83188516f, 0.61951244f, 0.45573691f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.65472794f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.20157266f, 0.95350921f, 0.74807048f, 0.57119018f, 0.43325692f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 8.30717278f, 7.11996698f, 5.85520077f, 4.65472794f, 3.60512662f, 2.95596409f, 2.45070267f, 1.91321158f, 1.51179266f, 1.20157266f, 0.95350921f, 0.74807048f, 0.57119018f, 0.43325692f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 8.30717278f, 7.11996698f, 5.85520077f, 4.65472794f, 3.60512662f, 2.95596409f, 2.45070267f, 1.98035145f, 1.61558151f, 1.32549286f, 1.08895338f, 0.86115354f, 0.69515091f, 0.54755926f, 0.41087446f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_10 = {
|
||||
{ 14.61464119f, 0.89115214f, 0.02916753f },
|
||||
{ 14.61464119f, 2.36326075f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 1.61558151f, 0.57119018f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 2.45070267f, 1.08895338f, 0.45573691f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 2.95596409f, 1.56271636f, 0.803307f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 3.07277966f, 1.61558151f, 0.89115214f, 0.4783645f, 0.19894916f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 3.07277966f, 1.84880662f, 1.08895338f, 0.64427125f, 0.34370604f, 0.13792117f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.84484982f, 1.61558151f, 0.95350921f, 0.54755926f, 0.27464288f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.95596409f, 1.91321158f, 1.24153244f, 0.803307f, 0.4783645f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.05039096f, 1.41535246f, 0.95350921f, 0.64427125f, 0.41087446f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.27973175f, 1.61558151f, 1.12534678f, 0.803307f, 0.54755926f, 0.36617002f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.32507086f, 2.45070267f, 1.72759056f, 1.24153244f, 0.89115214f, 0.64427125f, 0.45573691f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 5.09240818f, 3.60512662f, 2.84484982f, 2.05039096f, 1.51179266f, 1.08895338f, 0.803307f, 0.59516323f, 0.43325692f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 5.09240818f, 3.60512662f, 2.84484982f, 2.12350607f, 1.61558151f, 1.24153244f, 0.95350921f, 0.72133851f, 0.54755926f, 0.41087446f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.45070267f, 1.84880662f, 1.41535246f, 1.08895338f, 0.83188516f, 0.64427125f, 0.50118381f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 5.85520077f, 4.45427561f, 3.19567990f, 2.45070267f, 1.91321158f, 1.51179266f, 1.20157266f, 0.95350921f, 0.74807048f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 5.85520077f, 4.45427561f, 3.46139455f, 2.84484982f, 2.19988537f, 1.72759056f, 1.36964464f, 1.08895338f, 0.86115354f, 0.69515091f, 0.54755926f, 0.43325692f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.46139455f, 2.84484982f, 2.19988537f, 1.72759056f, 1.36964464f, 1.08895338f, 0.86115354f, 0.69515091f, 0.54755926f, 0.43325692f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 11.54541874f, 7.49001646f, 5.85520077f, 4.45427561f, 3.46139455f, 2.84484982f, 2.19988537f, 1.72759056f, 1.36964464f, 1.08895338f, 0.89115214f, 0.72133851f, 0.59516323f, 0.4783645f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_15 = {
|
||||
{ 14.61464119f, 0.83188516f, 0.02916753f },
|
||||
{ 14.61464119f, 1.84880662f, 0.59516323f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 1.56271636f, 0.52423614f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 1.91321158f, 0.83188516f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.45070267f, 1.24153244f, 0.59516323f, 0.25053367f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.51179266f, 0.803307f, 0.41087446f, 0.17026083f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.56271636f, 0.89115214f, 0.50118381f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 3.07277966f, 1.84880662f, 1.12534678f, 0.72133851f, 0.43325692f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 3.07277966f, 1.91321158f, 1.24153244f, 0.803307f, 0.52423614f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 2.95596409f, 1.91321158f, 1.24153244f, 0.803307f, 0.52423614f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.05039096f, 1.36964464f, 0.95350921f, 0.69515091f, 0.4783645f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.803307f, 0.59516323f, 0.43325692f, 0.29807833f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.803307f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.07277966f, 2.19988537f, 1.61558151f, 1.24153244f, 0.95350921f, 0.74807048f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.45070267f, 1.78698075f, 1.32549286f, 1.01931262f, 0.803307f, 0.64427125f, 0.50118381f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.45070267f, 1.78698075f, 1.32549286f, 1.01931262f, 0.803307f, 0.64427125f, 0.52423614f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.45070267f, 1.84880662f, 1.41535246f, 1.12534678f, 0.89115214f, 0.72133851f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.86714602f, 3.19567990f, 2.45070267f, 1.84880662f, 1.41535246f, 1.12534678f, 0.89115214f, 0.72133851f, 0.59516323f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_20 = {
|
||||
{ 14.61464119f, 0.803307f, 0.02916753f },
|
||||
{ 14.61464119f, 1.56271636f, 0.52423614f, 0.02916753f },
|
||||
{ 14.61464119f, 2.36326075f, 0.92192322f, 0.36617002f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.24153244f, 0.59516323f, 0.25053367f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.05039096f, 0.95350921f, 0.45573691f, 0.17026083f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.45070267f, 1.24153244f, 0.64427125f, 0.29807833f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.45070267f, 1.36964464f, 0.803307f, 0.45573691f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 0.95350921f, 0.59516323f, 0.36617002f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.67050016f, 1.08895338f, 0.74807048f, 0.50118381f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.95596409f, 1.84880662f, 1.24153244f, 0.83188516f, 0.59516323f, 0.41087446f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 3.07277966f, 1.98035145f, 1.36964464f, 0.95350921f, 0.69515091f, 0.50118381f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 3.46139455f, 2.36326075f, 1.56271636f, 1.08895338f, 0.803307f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 6.77309084f, 3.46139455f, 2.45070267f, 1.61558151f, 1.162866f, 0.86115354f, 0.64427125f, 0.50118381f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.83188516f, 0.64427125f, 0.50118381f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.83188516f, 0.64427125f, 0.50118381f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.12350607f, 1.51179266f, 1.08895338f, 0.83188516f, 0.64427125f, 0.50118381f, 0.41087446f, 0.34370604f, 0.27464288f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.19988537f, 1.61558151f, 1.20157266f, 0.92192322f, 0.72133851f, 0.57119018f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.19988537f, 1.61558151f, 1.24153244f, 0.95350921f, 0.74807048f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 7.49001646f, 4.65472794f, 3.07277966f, 2.19988537f, 1.61558151f, 1.24153244f, 0.95350921f, 0.74807048f, 0.59516323f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_25 = {
|
||||
{ 14.61464119f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 1.56271636f, 0.50118381f, 0.02916753f },
|
||||
{ 14.61464119f, 2.05039096f, 0.803307f, 0.32104823f, 0.02916753f },
|
||||
{ 14.61464119f, 2.36326075f, 0.95350921f, 0.43325692f, 0.17026083f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.24153244f, 0.59516323f, 0.27464288f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 3.07277966f, 1.51179266f, 0.803307f, 0.43325692f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.36326075f, 1.24153244f, 0.72133851f, 0.41087446f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.45070267f, 1.36964464f, 0.83188516f, 0.52423614f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 0.98595673f, 0.64427125f, 0.43325692f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.67050016f, 1.08895338f, 0.74807048f, 0.52423614f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.72759056f, 1.162866f, 0.803307f, 0.59516323f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.95596409f, 1.84880662f, 1.24153244f, 0.86115354f, 0.64427125f, 0.4783645f, 0.36617002f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.95596409f, 1.84880662f, 1.28281462f, 0.92192322f, 0.69515091f, 0.52423614f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.95596409f, 1.91321158f, 1.32549286f, 0.95350921f, 0.72133851f, 0.54755926f, 0.43325692f, 0.34370604f, 0.27464288f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.95596409f, 1.91321158f, 1.32549286f, 0.95350921f, 0.72133851f, 0.57119018f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.95596409f, 1.91321158f, 1.32549286f, 0.95350921f, 0.74807048f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 3.07277966f, 2.05039096f, 1.41535246f, 1.05362725f, 0.803307f, 0.61951244f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 3.07277966f, 2.05039096f, 1.41535246f, 1.05362725f, 0.803307f, 0.64427125f, 0.52423614f, 0.43325692f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 3.07277966f, 2.05039096f, 1.46270394f, 1.08895338f, 0.83188516f, 0.66947293f, 0.54755926f, 0.45573691f, 0.38853383f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_30 = {
|
||||
{ 14.61464119f, 0.72133851f, 0.02916753f },
|
||||
{ 14.61464119f, 1.24153244f, 0.43325692f, 0.02916753f },
|
||||
{ 14.61464119f, 1.56271636f, 0.59516323f, 0.22545385f, 0.02916753f },
|
||||
{ 14.61464119f, 1.84880662f, 0.803307f, 0.36617002f, 0.13792117f, 0.02916753f },
|
||||
{ 14.61464119f, 2.36326075f, 1.01931262f, 0.52423614f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.36964464f, 0.74807048f, 0.41087446f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 3.07277966f, 1.56271636f, 0.89115214f, 0.54755926f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 3.07277966f, 1.61558151f, 0.95350921f, 0.61951244f, 0.41087446f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.45070267f, 1.36964464f, 0.83188516f, 0.54755926f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.45070267f, 1.41535246f, 0.92192322f, 0.64427125f, 0.45573691f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.6383388f, 1.56271636f, 1.01931262f, 0.72133851f, 0.50118381f, 0.36617002f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 1.05362725f, 0.74807048f, 0.54755926f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 1.08895338f, 0.77538133f, 0.57119018f, 0.43325692f, 0.34370604f, 0.27464288f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.59516323f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.72759056f, 1.162866f, 0.83188516f, 0.64427125f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.72759056f, 1.162866f, 0.83188516f, 0.64427125f, 0.52423614f, 0.43325692f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.78698075f, 1.24153244f, 0.92192322f, 0.72133851f, 0.57119018f, 0.45573691f, 0.38853383f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.84484982f, 1.78698075f, 1.24153244f, 0.92192322f, 0.72133851f, 0.57119018f, 0.4783645f, 0.41087446f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_35 = {
|
||||
{ 14.61464119f, 0.69515091f, 0.02916753f },
|
||||
{ 14.61464119f, 0.95350921f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 1.56271636f, 0.57119018f, 0.19894916f, 0.02916753f },
|
||||
{ 14.61464119f, 1.61558151f, 0.69515091f, 0.29807833f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.84880662f, 0.83188516f, 0.43325692f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.162866f, 0.64427125f, 0.36617002f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.36964464f, 0.803307f, 0.50118381f, 0.32104823f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.41535246f, 0.83188516f, 0.54755926f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.56271636f, 0.95350921f, 0.64427125f, 0.45573691f, 0.32104823f, 0.22545385f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.56271636f, 0.95350921f, 0.64427125f, 0.45573691f, 0.34370604f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 3.07277966f, 1.61558151f, 1.01931262f, 0.72133851f, 0.52423614f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 3.07277966f, 1.61558151f, 1.01931262f, 0.72133851f, 0.52423614f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 3.07277966f, 1.61558151f, 1.05362725f, 0.74807048f, 0.54755926f, 0.43325692f, 0.34370604f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 3.07277966f, 1.72759056f, 1.12534678f, 0.803307f, 0.59516323f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 3.07277966f, 1.72759056f, 1.12534678f, 0.803307f, 0.59516323f, 0.4783645f, 0.38853383f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.45070267f, 1.51179266f, 1.01931262f, 0.74807048f, 0.57119018f, 0.45573691f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.6383388f, 1.61558151f, 1.08895338f, 0.803307f, 0.61951244f, 0.50118381f, 0.41087446f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.6383388f, 1.61558151f, 1.08895338f, 0.803307f, 0.64427125f, 0.52423614f, 0.43325692f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 5.85520077f, 2.6383388f, 1.61558151f, 1.08895338f, 0.803307f, 0.64427125f, 0.52423614f, 0.45573691f, 0.38853383f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_40 = {
|
||||
{ 14.61464119f, 0.59516323f, 0.02916753f },
|
||||
{ 14.61464119f, 0.95350921f, 0.34370604f, 0.02916753f },
|
||||
{ 14.61464119f, 1.08895338f, 0.43325692f, 0.13792117f, 0.02916753f },
|
||||
{ 14.61464119f, 1.56271636f, 0.64427125f, 0.27464288f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.61558151f, 0.803307f, 0.43325692f, 0.22545385f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.05039096f, 0.95350921f, 0.54755926f, 0.34370604f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.24153244f, 0.72133851f, 0.43325692f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.24153244f, 0.74807048f, 0.50118381f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.28281462f, 0.803307f, 0.52423614f, 0.36617002f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.28281462f, 0.803307f, 0.54755926f, 0.38853383f, 0.29807833f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.41535246f, 0.86115354f, 0.59516323f, 0.43325692f, 0.32104823f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.51179266f, 0.95350921f, 0.64427125f, 0.45573691f, 0.34370604f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.51179266f, 0.95350921f, 0.64427125f, 0.4783645f, 0.36617002f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.56271636f, 0.98595673f, 0.69515091f, 0.52423614f, 0.41087446f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.56271636f, 1.01931262f, 0.72133851f, 0.54755926f, 0.43325692f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.61558151f, 1.05362725f, 0.74807048f, 0.57119018f, 0.45573691f, 0.38853383f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.61951244f, 0.50118381f, 0.41087446f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.61951244f, 0.50118381f, 0.43325692f, 0.38853383f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.61558151f, 1.08895338f, 0.803307f, 0.64427125f, 0.52423614f, 0.45573691f, 0.41087446f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_45 = {
|
||||
{ 14.61464119f, 0.59516323f, 0.02916753f },
|
||||
{ 14.61464119f, 0.803307f, 0.25053367f, 0.02916753f },
|
||||
{ 14.61464119f, 0.95350921f, 0.34370604f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.24153244f, 0.54755926f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.56271636f, 0.72133851f, 0.36617002f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.61558151f, 0.803307f, 0.45573691f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.91321158f, 0.95350921f, 0.57119018f, 0.36617002f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.19988537f, 1.08895338f, 0.64427125f, 0.41087446f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.24153244f, 0.74807048f, 0.50118381f, 0.34370604f, 0.25053367f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.24153244f, 0.74807048f, 0.50118381f, 0.36617002f, 0.27464288f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.28281462f, 0.803307f, 0.54755926f, 0.41087446f, 0.32104823f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.28281462f, 0.803307f, 0.57119018f, 0.43325692f, 0.34370604f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.28281462f, 0.83188516f, 0.59516323f, 0.45573691f, 0.36617002f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.28281462f, 0.83188516f, 0.59516323f, 0.45573691f, 0.36617002f, 0.32104823f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.51179266f, 0.95350921f, 0.69515091f, 0.52423614f, 0.41087446f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.51179266f, 0.95350921f, 0.69515091f, 0.52423614f, 0.43325692f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.56271636f, 0.98595673f, 0.72133851f, 0.54755926f, 0.45573691f, 0.38853383f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.56271636f, 1.01931262f, 0.74807048f, 0.57119018f, 0.4783645f, 0.41087446f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.84484982f, 1.56271636f, 1.01931262f, 0.74807048f, 0.59516323f, 0.50118381f, 0.43325692f, 0.38853383f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<std::vector<float>> GITS_NOISE_1_50 = {
|
||||
{ 14.61464119f, 0.54755926f, 0.02916753f },
|
||||
{ 14.61464119f, 0.803307f, 0.25053367f, 0.02916753f },
|
||||
{ 14.61464119f, 0.86115354f, 0.32104823f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.24153244f, 0.54755926f, 0.25053367f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.56271636f, 0.72133851f, 0.36617002f, 0.19894916f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.61558151f, 0.803307f, 0.45573691f, 0.27464288f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.61558151f, 0.83188516f, 0.52423614f, 0.34370604f, 0.25053367f, 0.17026083f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.84880662f, 0.95350921f, 0.59516323f, 0.38853383f, 0.27464288f, 0.19894916f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.84880662f, 0.95350921f, 0.59516323f, 0.41087446f, 0.29807833f, 0.22545385f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 1.84880662f, 0.95350921f, 0.61951244f, 0.43325692f, 0.32104823f, 0.25053367f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.19988537f, 1.12534678f, 0.72133851f, 0.50118381f, 0.36617002f, 0.27464288f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.19988537f, 1.12534678f, 0.72133851f, 0.50118381f, 0.36617002f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.36326075f, 1.24153244f, 0.803307f, 0.57119018f, 0.43325692f, 0.34370604f, 0.29807833f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.36326075f, 1.24153244f, 0.803307f, 0.57119018f, 0.43325692f, 0.34370604f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.36326075f, 1.24153244f, 0.803307f, 0.59516323f, 0.45573691f, 0.36617002f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.36326075f, 1.24153244f, 0.803307f, 0.59516323f, 0.45573691f, 0.38853383f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.32549286f, 0.86115354f, 0.64427125f, 0.50118381f, 0.41087446f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.36964464f, 0.92192322f, 0.69515091f, 0.54755926f, 0.45573691f, 0.41087446f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f },
|
||||
{ 14.61464119f, 2.45070267f, 1.41535246f, 0.95350921f, 0.72133851f, 0.57119018f, 0.4783645f, 0.43325692f, 0.38853383f, 0.36617002f, 0.34370604f, 0.32104823f, 0.29807833f, 0.27464288f, 0.25053367f, 0.22545385f, 0.19894916f, 0.17026083f, 0.13792117f, 0.09824532f, 0.02916753f }
|
||||
};
|
||||
|
||||
const std::vector<const std::vector<std::vector<float>>*> GITS_NOISE = {
|
||||
&GITS_NOISE_0_80,
|
||||
&GITS_NOISE_0_85,
|
||||
&GITS_NOISE_0_90,
|
||||
&GITS_NOISE_0_95,
|
||||
&GITS_NOISE_1_00,
|
||||
&GITS_NOISE_1_05,
|
||||
&GITS_NOISE_1_10,
|
||||
&GITS_NOISE_1_15,
|
||||
&GITS_NOISE_1_20,
|
||||
&GITS_NOISE_1_25,
|
||||
&GITS_NOISE_1_30,
|
||||
&GITS_NOISE_1_35,
|
||||
&GITS_NOISE_1_40,
|
||||
&GITS_NOISE_1_45,
|
||||
&GITS_NOISE_1_50
|
||||
};
|
||||
|
||||
#endif // GITS_NOISE_INL
|
||||
|
|
@ -173,8 +173,9 @@ namespace sd::guidance {
|
|||
}
|
||||
|
||||
float diff_norm = 0.0f;
|
||||
const int standard_res = 2 * 1024 / 8; // Use SDXL as the standard resolution (1024x1024, 8x8 patches, 4=2x2 channels)
|
||||
if (params_.norm_threshold > 0.0f) {
|
||||
diff_norm = std::sqrt((deltas * deltas).sum());
|
||||
diff_norm = std::sqrt((deltas * deltas).sum()) * standard_res / std::sqrt(static_cast<float>(deltas.numel()));
|
||||
}
|
||||
|
||||
float apg_scale_factor = 1.0f;
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@
|
|||
#include <cmath>
|
||||
#include <cstdlib>
|
||||
#include <filesystem>
|
||||
#include <set>
|
||||
|
||||
#include "core/ggml_extend.hpp"
|
||||
#include "core/ggml_graph_cut.h"
|
||||
|
|
@ -10,12 +11,12 @@
|
|||
#include "core/rng_mt19937.hpp"
|
||||
#include "core/rng_philox.hpp"
|
||||
#include "core/util.h"
|
||||
#include "model.h"
|
||||
#include "model_loader.h"
|
||||
#include "stable-diffusion.h"
|
||||
|
||||
#include "conditioning/conditioner.hpp"
|
||||
#include "extensions/generation_extension.h"
|
||||
#include "model/adapter/lora.hpp"
|
||||
#include "model/adapter/pmid.hpp"
|
||||
#include "model/diffusion/anima.hpp"
|
||||
#include "model/diffusion/control.hpp"
|
||||
#include "model/diffusion/ernie_image.hpp"
|
||||
|
|
@ -181,9 +182,7 @@ public:
|
|||
std::shared_ptr<VAE> preview_vae;
|
||||
std::shared_ptr<LTXV::LTXAudioVAERunner> audio_vae_model;
|
||||
std::shared_ptr<ControlNet> control_net;
|
||||
std::shared_ptr<PhotoMakerIDEncoder> pmid_model;
|
||||
std::shared_ptr<LoraModel> pmid_lora;
|
||||
std::shared_ptr<PhotoMakerIDEmbed> pmid_id_embeds;
|
||||
std::vector<std::shared_ptr<GenerationExtension>> generation_extensions;
|
||||
std::vector<std::shared_ptr<LoraModel>> cond_stage_lora_models;
|
||||
std::vector<std::shared_ptr<LoraModel>> diffusion_lora_models;
|
||||
std::vector<std::shared_ptr<LoraModel>> first_stage_lora_models;
|
||||
|
|
@ -196,7 +195,6 @@ public:
|
|||
bool offload_params_to_cpu = false;
|
||||
float max_vram = 0.f;
|
||||
bool stream_layers = false;
|
||||
bool use_pmid = false;
|
||||
std::string backend_spec;
|
||||
std::string params_backend_spec;
|
||||
|
||||
|
|
@ -981,21 +979,12 @@ public:
|
|||
for (uint32_t i = 0; i < sd_ctx_params->embedding_count; i++) {
|
||||
embbeding_map.emplace(SAFE_STR(sd_ctx_params->embeddings[i].name), SAFE_STR(sd_ctx_params->embeddings[i].path));
|
||||
}
|
||||
if (strstr(SAFE_STR(sd_ctx_params->photo_maker_path), "v2")) {
|
||||
cond_stage_model = std::make_shared<FrozenCLIPEmbedderWithCustomWords>(backend_for(SDBackendModule::TE),
|
||||
params_backend_for(SDBackendModule::TE),
|
||||
tensor_storage_map,
|
||||
embbeding_map,
|
||||
version,
|
||||
PM_VERSION_2);
|
||||
} else {
|
||||
cond_stage_model = std::make_shared<FrozenCLIPEmbedderWithCustomWords>(backend_for(SDBackendModule::TE),
|
||||
params_backend_for(SDBackendModule::TE),
|
||||
tensor_storage_map,
|
||||
embbeding_map,
|
||||
version);
|
||||
}
|
||||
diffusion_model = std::make_shared<UNetModelRunner>(backend_for(SDBackendModule::DIFFUSION),
|
||||
cond_stage_model = std::make_shared<FrozenCLIPEmbedderWithCustomWords>(backend_for(SDBackendModule::TE),
|
||||
params_backend_for(SDBackendModule::TE),
|
||||
tensor_storage_map,
|
||||
embbeding_map,
|
||||
version);
|
||||
diffusion_model = std::make_shared<UNetModelRunner>(backend_for(SDBackendModule::DIFFUSION),
|
||||
params_backend_for(SDBackendModule::DIFFUSION),
|
||||
tensor_storage_map,
|
||||
"model.diffusion_model",
|
||||
|
|
@ -1151,50 +1140,36 @@ public:
|
|||
control_net->set_conv2d_direct_enabled(true);
|
||||
}
|
||||
}
|
||||
if (strlen(SAFE_STR(sd_ctx_params->photo_maker_path)) > 0) {
|
||||
if (!ensure_backend_pair(SDBackendModule::PHOTOMAKER)) {
|
||||
return false;
|
||||
}
|
||||
if (strstr(SAFE_STR(sd_ctx_params->photo_maker_path), "v2")) {
|
||||
pmid_model = std::make_shared<PhotoMakerIDEncoder>(backend_for(SDBackendModule::PHOTOMAKER),
|
||||
params_backend_for(SDBackendModule::PHOTOMAKER),
|
||||
tensor_storage_map,
|
||||
"pmid",
|
||||
version,
|
||||
PM_VERSION_2);
|
||||
LOG_INFO("using PhotoMaker Version 2");
|
||||
} else {
|
||||
pmid_model = std::make_shared<PhotoMakerIDEncoder>(backend_for(SDBackendModule::PHOTOMAKER),
|
||||
params_backend_for(SDBackendModule::PHOTOMAKER),
|
||||
tensor_storage_map,
|
||||
"pmid",
|
||||
version);
|
||||
}
|
||||
pmid_lora = std::make_shared<LoraModel>("pmid",
|
||||
backend_for(SDBackendModule::PHOTOMAKER),
|
||||
params_backend_for(SDBackendModule::PHOTOMAKER),
|
||||
sd_ctx_params->photo_maker_path,
|
||||
"",
|
||||
version);
|
||||
auto lora_tensor_filter = [&](const std::string& tensor_name) {
|
||||
if (starts_with(tensor_name, "lora.model")) {
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
|
||||
{
|
||||
generation_extensions.clear();
|
||||
auto photomaker_extension = create_photomaker_extension();
|
||||
GenerationExtensionInitContext extension_ctx{
|
||||
sd_ctx_params,
|
||||
version,
|
||||
tensor_storage_map,
|
||||
model_loader,
|
||||
n_threads,
|
||||
[this](SDBackendModule module) { return ensure_backend_pair(module); },
|
||||
[this](SDBackendModule module) { return backend_for(module); },
|
||||
[this](SDBackendModule module) { return params_backend_for(module); },
|
||||
};
|
||||
if (!pmid_lora->load_from_file(n_threads, lora_tensor_filter)) {
|
||||
LOG_WARN("load photomaker lora tensors from %s failed", sd_ctx_params->photo_maker_path);
|
||||
if (!photomaker_extension->init(extension_ctx)) {
|
||||
return false;
|
||||
}
|
||||
LOG_INFO("loading stacked ID embedding (PHOTOMAKER) model file from '%s'", sd_ctx_params->photo_maker_path);
|
||||
if (!model_loader.init_from_file_and_convert_name(sd_ctx_params->photo_maker_path, "pmid.")) {
|
||||
LOG_WARN("loading stacked ID embedding from '%s' failed", sd_ctx_params->photo_maker_path);
|
||||
} else {
|
||||
use_pmid = true;
|
||||
if (photomaker_extension->is_enabled()) {
|
||||
generation_extensions.push_back(photomaker_extension);
|
||||
}
|
||||
}
|
||||
if (use_pmid) {
|
||||
get_param_tensors_p(pmid_model, module_can_mmap(SDBackendModule::PHOTOMAKER), "pmid");
|
||||
{
|
||||
GenerationExtensionTensorContext extension_tensor_ctx{
|
||||
tensors,
|
||||
mmap_able_tensors,
|
||||
module_can_mmap,
|
||||
};
|
||||
for (auto& extension : generation_extensions) {
|
||||
extension->collect_param_tensors(extension_tensor_ctx);
|
||||
}
|
||||
}
|
||||
|
||||
if (sd_ctx_params->flash_attn) {
|
||||
|
|
@ -1251,8 +1226,8 @@ public:
|
|||
if (use_tae && !tae_preview_only) {
|
||||
ignore_tensors.insert("first_stage_model.");
|
||||
}
|
||||
if (use_pmid) {
|
||||
ignore_tensors.insert("pmid.unet.");
|
||||
for (auto& extension : generation_extensions) {
|
||||
extension->add_ignore_tensors(ignore_tensors);
|
||||
}
|
||||
ignore_tensors.insert("model.diffusion_model.__x0__");
|
||||
ignore_tensors.insert("model.diffusion_model.__32x32__");
|
||||
|
|
@ -1339,10 +1314,12 @@ public:
|
|||
ggml_free(ctx);
|
||||
return false;
|
||||
}
|
||||
if (use_pmid && pmid_model && !pmid_model->alloc_params_buffer()) {
|
||||
LOG_ERROR("PhotoMaker params buffer allocation failed");
|
||||
ggml_free(ctx);
|
||||
return false;
|
||||
for (auto& extension : generation_extensions) {
|
||||
if (!extension->alloc_params_buffer()) {
|
||||
LOG_ERROR("%s params buffer allocation failed", extension->name());
|
||||
ggml_free(ctx);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
bool success = model_loader.load_tensors(tensors, ignore_tensors, n_threads, sd_ctx_params->enable_mmap);
|
||||
|
|
@ -1376,9 +1353,9 @@ public:
|
|||
}
|
||||
control_net_params_mem_size = control_net->get_params_buffer_size();
|
||||
}
|
||||
size_t pmid_params_mem_size = 0;
|
||||
if (use_pmid) {
|
||||
pmid_params_mem_size = pmid_model->get_params_buffer_size();
|
||||
size_t extension_params_mem_size = 0;
|
||||
for (auto& extension : generation_extensions) {
|
||||
extension_params_mem_size += extension->get_params_buffer_size();
|
||||
}
|
||||
|
||||
size_t total_params_ram_size = 0;
|
||||
|
|
@ -1410,7 +1387,7 @@ public:
|
|||
};
|
||||
|
||||
if (!add_params_memory(clip_params_mem_size, SDBackendModule::TE) ||
|
||||
!add_params_memory(pmid_params_mem_size, SDBackendModule::PHOTOMAKER) ||
|
||||
!add_params_memory(extension_params_mem_size, SDBackendModule::PHOTOMAKER) ||
|
||||
!add_params_memory(unet_params_mem_size, SDBackendModule::DIFFUSION) ||
|
||||
!add_params_memory(vae_params_mem_size, SDBackendModule::VAE) ||
|
||||
!add_params_memory(control_net_params_mem_size, SDBackendModule::CONTROL_NET)) {
|
||||
|
|
@ -1421,7 +1398,7 @@ public:
|
|||
size_t total_params_size = total_params_ram_size + total_params_vram_size;
|
||||
LOG_INFO(
|
||||
"total params memory size = %.2fMB (VRAM %.2fMB, RAM %.2fMB): "
|
||||
"text_encoders %.2fMB(%s), diffusion_model %.2fMB(%s), vae %.2fMB(%s), controlnet %.2fMB(%s), pmid %.2fMB(%s)",
|
||||
"text_encoders %.2fMB(%s), diffusion_model %.2fMB(%s), vae %.2fMB(%s), controlnet %.2fMB(%s), extensions %.2fMB(%s)",
|
||||
total_params_size / 1024.0 / 1024.0,
|
||||
total_params_vram_size / 1024.0 / 1024.0,
|
||||
total_params_ram_size / 1024.0 / 1024.0,
|
||||
|
|
@ -1433,8 +1410,8 @@ public:
|
|||
params_memory_location(vae_params_mem_size, SDBackendModule::VAE),
|
||||
control_net_params_mem_size / 1024.0 / 1024.0,
|
||||
params_memory_location(control_net_params_mem_size, SDBackendModule::CONTROL_NET),
|
||||
pmid_params_mem_size / 1024.0 / 1024.0,
|
||||
params_memory_location(pmid_params_mem_size, SDBackendModule::PHOTOMAKER));
|
||||
extension_params_mem_size / 1024.0 / 1024.0,
|
||||
params_memory_location(extension_params_mem_size, SDBackendModule::PHOTOMAKER));
|
||||
}
|
||||
|
||||
// init denoiser
|
||||
|
|
@ -1858,88 +1835,30 @@ public:
|
|||
}
|
||||
}
|
||||
|
||||
SDCondition get_pmid_conditon(sd_pm_params_t pm_params,
|
||||
ConditionerParams& condition_params) {
|
||||
SDCondition id_cond;
|
||||
if (use_pmid) {
|
||||
if (!pmid_lora->applied) {
|
||||
int64_t t0 = ggml_time_ms();
|
||||
pmid_lora->apply(tensors, version, n_threads);
|
||||
int64_t t1 = ggml_time_ms();
|
||||
pmid_lora->applied = true;
|
||||
LOG_INFO("pmid_lora apply completed, taking %.2fs", (t1 - t0) * 1.0f / 1000);
|
||||
if (free_params_immediately) {
|
||||
pmid_lora->free_params_buffer();
|
||||
}
|
||||
}
|
||||
// preprocess input id images
|
||||
bool pmv2 = pmid_model->get_version() == PM_VERSION_2;
|
||||
if (pm_params.id_images_count > 0) {
|
||||
int clip_image_size = 224;
|
||||
pmid_model->style_strength = pm_params.style_strength;
|
||||
sd::Tensor<float> id_image_tensor;
|
||||
for (int i = 0; i < pm_params.id_images_count; i++) {
|
||||
auto id_image = sd_image_to_tensor(pm_params.id_images[i]);
|
||||
auto processed_id_image = clip_preprocess(id_image, clip_image_size, clip_image_size);
|
||||
if (id_image_tensor.empty()) {
|
||||
id_image_tensor = processed_id_image;
|
||||
} else {
|
||||
id_image_tensor = sd::ops::concat(id_image_tensor, processed_id_image, 3);
|
||||
}
|
||||
}
|
||||
|
||||
int64_t t0 = ggml_time_ms();
|
||||
condition_params.num_input_imgs = pm_params.id_images_count;
|
||||
auto cond_tup = cond_stage_model->get_learned_condition_with_trigger(n_threads,
|
||||
condition_params);
|
||||
id_cond = std::get<0>(cond_tup);
|
||||
auto class_tokens_mask = std::get<1>(cond_tup);
|
||||
sd::Tensor<float> id_embeds;
|
||||
if (pmv2 && pm_params.id_embed_path != nullptr) {
|
||||
try {
|
||||
id_embeds = sd::load_tensor_from_file_as_tensor<float>(pm_params.id_embed_path);
|
||||
} catch (const std::exception&) {
|
||||
id_embeds = {};
|
||||
}
|
||||
}
|
||||
if (pmv2 && id_embeds.empty()) {
|
||||
LOG_WARN("Provided PhotoMaker images, but NO valid ID embeds file for PM v2");
|
||||
LOG_WARN("Turn off PhotoMaker");
|
||||
use_pmid = false;
|
||||
} else {
|
||||
if (pmv2 && pm_params.id_images_count != id_embeds.shape()[1]) {
|
||||
LOG_WARN("PhotoMaker image count (%d) does NOT match ID embeds (%d). You should run face_detect.py again.", pm_params.id_images_count, static_cast<int>(id_embeds.shape()[1]));
|
||||
LOG_WARN("Turn off PhotoMaker");
|
||||
use_pmid = false;
|
||||
} else {
|
||||
auto res = pmid_model->compute(n_threads,
|
||||
id_image_tensor,
|
||||
id_cond.c_crossattn,
|
||||
id_embeds,
|
||||
class_tokens_mask);
|
||||
if (res.empty()) {
|
||||
LOG_ERROR("Photomaker ID Stacking failed");
|
||||
LOG_WARN("Turn off PhotoMaker");
|
||||
use_pmid = false;
|
||||
} else {
|
||||
id_cond.c_crossattn = std::move(res);
|
||||
int64_t t1 = ggml_time_ms();
|
||||
LOG_INFO("Photomaker ID Stacking, taking %" PRId64 " ms", t1 - t0);
|
||||
// Encode input prompt without the trigger word for delayed conditioning
|
||||
condition_params.text = cond_stage_model->remove_trigger_from_prompt(condition_params.text);
|
||||
}
|
||||
if (free_params_immediately) {
|
||||
pmid_model->free_params_buffer();
|
||||
}
|
||||
}
|
||||
}
|
||||
} else {
|
||||
LOG_WARN("Provided PhotoMaker model file, but NO input ID images");
|
||||
LOG_WARN("Turn off PhotoMaker");
|
||||
use_pmid = false;
|
||||
}
|
||||
void reset_generation_extensions() {
|
||||
for (auto& extension : generation_extensions) {
|
||||
extension->reset_runtime_condition();
|
||||
}
|
||||
}
|
||||
|
||||
void prepare_generation_extensions(const sd_pm_params_t& pm_params,
|
||||
ConditionerParams& condition_params,
|
||||
int total_steps) {
|
||||
reset_generation_extensions();
|
||||
GenerationExtensionConditionContext ctx{
|
||||
cond_stage_model.get(),
|
||||
condition_params,
|
||||
pm_params,
|
||||
tensors,
|
||||
version,
|
||||
n_threads,
|
||||
total_steps,
|
||||
free_params_immediately,
|
||||
};
|
||||
|
||||
for (auto& extension : generation_extensions) {
|
||||
extension->prepare_condition(ctx);
|
||||
}
|
||||
return id_cond;
|
||||
}
|
||||
|
||||
sd::Tensor<float> get_clip_vision_output(const sd::Tensor<float>& image,
|
||||
|
|
@ -2238,7 +2157,6 @@ public:
|
|||
const SDCondition& cond,
|
||||
const SDCondition& uncond,
|
||||
const SDCondition& img_uncond,
|
||||
const SDCondition& id_cond,
|
||||
const sd::Tensor<float>& control_image,
|
||||
float control_strength,
|
||||
const sd_guidance_params_t& guidance,
|
||||
|
|
@ -2248,7 +2166,6 @@ public:
|
|||
bool is_flow_denoiser,
|
||||
const char* extra_sample_args,
|
||||
const std::vector<float>& sigmas,
|
||||
int start_merge_step,
|
||||
const std::vector<sd::Tensor<float>>& ref_latents,
|
||||
bool increase_ref_index,
|
||||
const sd::Tensor<float>& denoise_mask,
|
||||
|
|
@ -2440,20 +2357,24 @@ public:
|
|||
return output_opt;
|
||||
};
|
||||
|
||||
if (start_merge_step == -1 || step <= start_merge_step) {
|
||||
cond_out = run_condition(cond);
|
||||
if (cond_out.empty()) {
|
||||
return {};
|
||||
}
|
||||
} else {
|
||||
GGML_ASSERT(!id_cond.empty());
|
||||
cond_out = run_condition(id_cond,
|
||||
cond.c_concat.empty() ? nullptr : &cond.c_concat);
|
||||
if (cond_out.empty()) {
|
||||
return {};
|
||||
const SDCondition* positive_condition = &cond;
|
||||
const sd::Tensor<float>* c_concat_override = nullptr;
|
||||
for (const auto& extension : generation_extensions) {
|
||||
const SDCondition& next_condition = extension->before_condition(step, *positive_condition);
|
||||
if (&next_condition != positive_condition) {
|
||||
positive_condition = &next_condition;
|
||||
if (positive_condition != &cond) {
|
||||
c_concat_override = cond.c_concat.empty() ? nullptr : &cond.c_concat;
|
||||
}
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
cond_out = run_condition(*positive_condition, c_concat_override);
|
||||
if (cond_out.empty()) {
|
||||
return {};
|
||||
}
|
||||
|
||||
if (!uncond.empty()) {
|
||||
if (!step_cache.is_step_skipped()) {
|
||||
compute_sample_controls(control_image,
|
||||
|
|
@ -3746,7 +3667,6 @@ struct SamplePlan {
|
|||
int high_noise_sample_steps = 0;
|
||||
int total_steps = 0;
|
||||
float moe_boundary = 0.f;
|
||||
int start_merge_step = -1;
|
||||
std::vector<float> sigmas;
|
||||
|
||||
SamplePlan(sd_ctx_t* sd_ctx,
|
||||
|
|
@ -3831,11 +3751,6 @@ struct SamplePlan {
|
|||
high_noise_eta = resolve_eta(sd_ctx, high_noise_eta, high_noise_sample_method);
|
||||
LOG_INFO("sampling(high noise) using %s method", sampling_methods_str[high_noise_sample_method]);
|
||||
}
|
||||
|
||||
if (sd_ctx->sd->use_pmid) {
|
||||
start_merge_step = int(sd_ctx->sd->pmid_model->style_strength / 100.f * total_steps);
|
||||
LOG_INFO("PHOTOMAKER: start_merge_step: %d", start_merge_step);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
|
|
@ -4166,7 +4081,6 @@ struct ImageGenerationEmbeds {
|
|||
SDCondition cond;
|
||||
SDCondition uncond;
|
||||
SDCondition img_uncond;
|
||||
SDCondition id_cond;
|
||||
};
|
||||
|
||||
struct CircularAxesState {
|
||||
|
|
@ -4471,7 +4385,9 @@ static std::optional<ImageGenerationEmbeds> prepare_image_generation_embeds(sd_c
|
|||
condition_params.height = request->height;
|
||||
condition_params.ref_images = &latents->ref_images;
|
||||
|
||||
auto id_cond = sd_ctx->sd->get_pmid_conditon(request->pm_params, condition_params);
|
||||
sd_ctx->sd->prepare_generation_extensions(request->pm_params,
|
||||
condition_params,
|
||||
plan->total_steps);
|
||||
int64_t prepare_start_ms = ggml_time_ms();
|
||||
condition_params.zero_out_masked = false;
|
||||
auto cond = sd_ctx->sd->cond_stage_model->get_learned_condition(sd_ctx->sd->n_threads,
|
||||
|
|
@ -4541,7 +4457,6 @@ static std::optional<ImageGenerationEmbeds> prepare_image_generation_embeds(sd_c
|
|||
embeds.img_uncond = std::move(img_uncond);
|
||||
embeds.cond = std::move(cond);
|
||||
embeds.uncond = std::move(uncond);
|
||||
embeds.id_cond = std::move(id_cond);
|
||||
|
||||
return embeds;
|
||||
}
|
||||
|
|
@ -4822,7 +4737,6 @@ SD_API sd_image_t* generate_image(sd_ctx_t* sd_ctx, const sd_img_gen_params_t* s
|
|||
embeds.cond,
|
||||
embeds.uncond,
|
||||
embeds.img_uncond,
|
||||
embeds.id_cond,
|
||||
latents.control_image,
|
||||
request.control_strength,
|
||||
request.guidance,
|
||||
|
|
@ -4832,7 +4746,6 @@ SD_API sd_image_t* generate_image(sd_ctx_t* sd_ctx, const sd_img_gen_params_t* s
|
|||
sd_ctx->sd->is_flow_denoiser(),
|
||||
plan.extra_sample_args,
|
||||
plan.sigmas,
|
||||
plan.start_merge_step,
|
||||
latents.ref_latents,
|
||||
request.increase_ref_index,
|
||||
latents.denoise_mask,
|
||||
|
|
@ -4942,7 +4855,6 @@ SD_API sd_image_t* generate_image(sd_ctx_t* sd_ctx, const sd_img_gen_params_t* s
|
|||
embeds.cond,
|
||||
embeds.uncond,
|
||||
embeds.img_uncond,
|
||||
embeds.id_cond,
|
||||
latents.control_image,
|
||||
request.control_strength,
|
||||
request.guidance,
|
||||
|
|
@ -4952,7 +4864,6 @@ SD_API sd_image_t* generate_image(sd_ctx_t* sd_ctx, const sd_img_gen_params_t* s
|
|||
sd_ctx->sd->is_flow_denoiser(),
|
||||
plan.extra_sample_args,
|
||||
hires_sigma_sched,
|
||||
plan.start_merge_step,
|
||||
latents.ref_latents,
|
||||
request.increase_ref_index,
|
||||
hires_denoise_mask,
|
||||
|
|
@ -5611,6 +5522,7 @@ SD_API bool generate_video(sd_ctx_t* sd_ctx,
|
|||
sd_ctx->sd->sampler_rng->manual_seed(request.seed);
|
||||
sd_ctx->sd->set_flow_shift(sd_vid_gen_params->sample_params.flow_shift);
|
||||
sd_ctx->sd->apply_loras(sd_vid_gen_params->loras, sd_vid_gen_params->lora_count);
|
||||
sd_ctx->sd->reset_generation_extensions();
|
||||
|
||||
SamplePlan plan(sd_ctx, sd_vid_gen_params, request);
|
||||
auto latent_inputs_opt = prepare_video_generation_latents(sd_ctx, sd_vid_gen_params, &request);
|
||||
|
|
@ -5657,7 +5569,6 @@ SD_API bool generate_video(sd_ctx_t* sd_ctx,
|
|||
embeds.cond,
|
||||
request.use_high_noise_uncond ? embeds.uncond : SDCondition(),
|
||||
embeds.img_uncond,
|
||||
embeds.id_cond,
|
||||
sd::Tensor<float>(),
|
||||
0.f,
|
||||
request.high_noise_guidance,
|
||||
|
|
@ -5667,7 +5578,6 @@ SD_API bool generate_video(sd_ctx_t* sd_ctx,
|
|||
sd_ctx->sd->is_flow_denoiser(),
|
||||
plan.high_noise_extra_sample_args,
|
||||
high_noise_sigmas,
|
||||
-1,
|
||||
std::vector<sd::Tensor<float>>{},
|
||||
false,
|
||||
latents.denoise_mask,
|
||||
|
|
@ -5703,7 +5613,6 @@ SD_API bool generate_video(sd_ctx_t* sd_ctx,
|
|||
embeds.cond,
|
||||
request.use_uncond ? embeds.uncond : SDCondition(),
|
||||
embeds.img_uncond,
|
||||
embeds.id_cond,
|
||||
sd::Tensor<float>(),
|
||||
0.f,
|
||||
sd_vid_gen_params->sample_params.guidance,
|
||||
|
|
@ -5713,7 +5622,6 @@ SD_API bool generate_video(sd_ctx_t* sd_ctx,
|
|||
sd_ctx->sd->is_flow_denoiser(),
|
||||
plan.extra_sample_args,
|
||||
plan.sigmas,
|
||||
-1,
|
||||
std::vector<sd::Tensor<float>>{},
|
||||
false,
|
||||
latents.denoise_mask,
|
||||
|
|
@ -5847,7 +5755,6 @@ SD_API bool generate_video(sd_ctx_t* sd_ctx,
|
|||
embeds.cond,
|
||||
hires_request.use_uncond ? embeds.uncond : SDCondition(),
|
||||
embeds.img_uncond,
|
||||
embeds.id_cond,
|
||||
sd::Tensor<float>(),
|
||||
0.f,
|
||||
sd_vid_gen_params->sample_params.guidance,
|
||||
|
|
@ -5857,7 +5764,6 @@ SD_API bool generate_video(sd_ctx_t* sd_ctx,
|
|||
sd_ctx->sd->is_flow_denoiser(),
|
||||
plan.extra_sample_args,
|
||||
hires_sigma_sched,
|
||||
-1,
|
||||
std::vector<sd::Tensor<float>>{},
|
||||
false,
|
||||
hires_denoise_mask,
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
#include "upscaler.h"
|
||||
#include "core/ggml_extend.hpp"
|
||||
#include "core/util.h"
|
||||
#include "model.h"
|
||||
#include "model_loader.h"
|
||||
#include "stable-diffusion.h"
|
||||
|
||||
#include <utility>
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue