vrr/koboldcpp
2
0
Fork 0
mirror of https://github.com/LostRuins/koboldcpp.git synced 2025-09-10 17:14:36 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

enable flash attention for image generation (#1633)

Browse source
This commit is contained in:
Wagner Bruna 2025-07-05 00:20:51 -03:00 • committed by GitHub
parent bc3e4c1197
commit d74c16e6e0
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
3 changed files with 8 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

1
expose.h
View file

@ -161,6 +161,7 @@ struct sd_load_model_inputs
const char * vulkan_info = nullptr;
const int threads = 0;
const int quant = 0;
const bool flash_attention = false;
const bool taesd = false;
const int tiled_vae_threshold = 0;
const char * t5xxl_filename = nullptr;

2
koboldcpp.py
View file

@ -273,6 +273,7 @@ class sd_load_model_inputs(ctypes.Structure):
("vulkan_info", ctypes.c_char_p),
("threads", ctypes.c_int),
("quant", ctypes.c_int),
("flash_attention", ctypes.c_bool),
("taesd", ctypes.c_bool),
("tiled_vae_threshold", ctypes.c_int),
("t5xxl_filename", ctypes.c_char_p),
@ -1624,6 +1625,7 @@ def sd_load_model(model_filename,vae_filename,lora_filename,t5xxl_filename,clipl
inputs.threads = thds
inputs.quant = quant
inputs.flash_attention = args.flashattention
inputs.taesd = True if args.sdvaeauto else False
inputs.tiled_vae_threshold = args.sdtiledvae
inputs.vae_filename = vae_filename.encode("UTF-8")

5
otherarch/sdcpp/sdtype_adapter.cpp
View file

@ -179,6 +179,10 @@ bool sdtype_load_model(const sd_load_model_inputs inputs) {
printf("With PhotoMaker Model: %s\n",photomaker_filename.c_str());
photomaker_enabled = true;
}
if(inputs.flash_attention)
{
printf("Flash Attention is enabled\n");
}
if(inputs.quant)
{
printf("Note: Loading a pre-quantized model is always faster than using compress weights!\n");
@ -213,6 +217,7 @@ bool sdtype_load_model(const sd_load_model_inputs inputs) {
sd_params->model_path = inputs.model_filename;
sd_params->wtype = (inputs.quant==0?SD_TYPE_COUNT:SD_TYPE_Q4_0);
sd_params->n_threads = inputs.threads; //if -1 use physical cores
sd_params->diffusion_flash_attn = inputs.flash_attention;
sd_params->input_path = ""; //unused
sd_params->batch_count = 1;
sd_params->vae_path = vaefilename;