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rename some toolip texts

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Concedo 2025-05-11 22:50:40 +08:00
parent 5cf5f35540
commit 40eb3a54c4
2 changed files with 5 additions and 5 deletions
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koboldcpp.py
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@ -4708,7 +4708,7 @@ def show_gui():
# Image Gen Tab
images_tab = tabcontent["Image Gen"]
makefileentry(images_tab, "Stable Diffusion Model (safetensors/gguf):", "Select Stable Diffusion Model File", sd_model_var, 1, width=280, singlecol=True, filetypes=[("*.safetensors *.gguf","*.safetensors *.gguf")], tooltiptxt="Select a .safetensors or .gguf Stable Diffusion model file on disk to be loaded.")
makefileentry(images_tab, "Image Gen. Model (safetensors/gguf):", "Select Image Gen Model File", sd_model_var, 1, width=280, singlecol=True, filetypes=[("*.safetensors *.gguf","*.safetensors *.gguf")], tooltiptxt="Select a .safetensors or .gguf Image Generation model file on disk to be loaded.")
makelabelentry(images_tab, "Clamped Mode (Limit Resolution):", sd_clamped_var, 4, 50, padx=290,singleline=True,tooltip="Limit generation steps and resolution settings for shared use.\nSet to 0 to disable, otherwise value is the size limit (min 512px).")
makelabelentry(images_tab, "Image Threads:" , sd_threads_var, 6, 50,padx=290,singleline=True,tooltip="How many threads to use during image generation.\nIf left blank, uses same value as threads.")
sd_model_var.trace("w", gui_changed_modelfile)
@ -6817,18 +6817,18 @@ if __name__ == '__main__':
hordeparsergroup.add_argument("--hordegenlen", metavar=('[amount]'), help="Sets the maximum number of tokens your worker will generate from an AI horde job.", type=int, default=0)
sdparsergroup = parser.add_argument_group('Image Generation Commands')
sdparsergroup.add_argument("--sdmodel", metavar=('[filename]'), help="Specify a stable diffusion safetensors or gguf model to enable image generation.", default="")
sdparsergroup.add_argument("--sdmodel", metavar=('[filename]'), help="Specify an image generation safetensors or gguf model to enable image generation.", default="")
sdparsergroup.add_argument("--sdthreads", metavar=('[threads]'), help="Use a different number of threads for image generation if specified. Otherwise, has the same value as --threads.", type=int, default=0)
sdparsergroup.add_argument("--sdclamped", metavar=('[maxres]'), help="If specified, limit generation steps and resolution settings for shared use. Accepts an extra optional parameter that indicates maximum resolution (eg. 768 clamps to 768x768, min 512px, disabled if 0).", nargs='?', const=512, type=int, default=0)
sdparsergroup.add_argument("--sdt5xxl", metavar=('[filename]'), help="Specify a T5-XXL safetensors model for use in SD3 or Flux. Leave blank if prebaked or unused.", default="")
sdparsergroup.add_argument("--sdclipl", metavar=('[filename]'), help="Specify a Clip-L safetensors model for use in SD3 or Flux. Leave blank if prebaked or unused.", default="")
sdparsergroup.add_argument("--sdclipg", metavar=('[filename]'), help="Specify a Clip-G safetensors model for use in SD3. Leave blank if prebaked or unused.", default="")
sdparsergroupvae = sdparsergroup.add_mutually_exclusive_group()
sdparsergroupvae.add_argument("--sdvae", metavar=('[filename]'), help="Specify a stable diffusion safetensors VAE which replaces the one in the model.", default="")
sdparsergroupvae.add_argument("--sdvae", metavar=('[filename]'), help="Specify an image generation safetensors VAE which replaces the one in the model.", default="")
sdparsergroupvae.add_argument("--sdvaeauto", help="Uses a built-in VAE via TAE SD, which is very fast, and fixed bad VAEs.", action='store_true')
sdparsergrouplora = sdparsergroup.add_mutually_exclusive_group()
sdparsergrouplora.add_argument("--sdquant", help="If specified, loads the model quantized to save memory.", action='store_true')
sdparsergrouplora.add_argument("--sdlora", metavar=('[filename]'), help="Specify a stable diffusion LORA safetensors model to be applied.", default="")
sdparsergrouplora.add_argument("--sdlora", metavar=('[filename]'), help="Specify an image generation LORA safetensors model to be applied.", default="")
sdparsergroup.add_argument("--sdloramult", metavar=('[amount]'), help="Multiplier for the LORA model to be applied.", type=float, default=1.0)
sdparsergroup.add_argument("--sdnotile", help="Disables VAE tiling, may not work for large images.", action='store_true')