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prevent mixing lora and quant

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Concedo 2024-05-16 00:23:12 +08:00
parent 7a5983399b
commit 6d9d846bdd
1 changed files with 30 additions and 13 deletions
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43
koboldcpp.py
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@ -2214,10 +2214,24 @@ def show_new_gui():
makefileentry(images_tab, "Stable Diffusion Model (safetensors/gguf):", "Select Stable Diffusion Model File", sd_model_var, 1, filetypes=[("*.safetensors *.gguf","*.safetensors *.gguf")], tooltiptxt="Select a .safetensors or .gguf Stable Diffusion model file on disk to be loaded.")
makecheckbox(images_tab, "Clamped Mode (Limit Resolution)", sd_clamped_var, 4,tooltiptxt="Limit generation steps and resolution settings for shared use.")
makelabelentry(images_tab, "Image Threads:" , sd_threads_var, 6, 50,"How many threads to use during image generation.\nIf left blank, uses same value as threads.")
makecheckbox(images_tab, "Compress Weights (Saves Memory)", sd_quant_var, 8,tooltiptxt="Quantizes the SD model weights to save memory. May degrade quality.")
makefileentry(images_tab, "Image LoRA:", "Select SD lora file",sd_lora_var, 10 ,filetypes=[("*.safetensors *.gguf", "*.safetensors *.gguf")],tooltiptxt="Select a .safetensors or .gguf SD LoRA model file to be loaded.")
makelabelentry(images_tab, "Image LoRA Multiplier:" , sd_loramult_var, 12, 50,"What mutiplier value to apply the SD LoRA with.")
sdloritem1,sdloritem2,sdloritem3 = makefileentry(images_tab, "Image LoRA (Must be non-quant):", "Select SD lora file",sd_lora_var, 10 ,filetypes=[("*.safetensors *.gguf", "*.safetensors *.gguf")],tooltiptxt="Select a .safetensors or .gguf SD LoRA model file to be loaded.")
sdloritem4,sdloritem5 = makelabelentry(images_tab, "Image LoRA Multiplier:" , sd_loramult_var, 12, 50,"What mutiplier value to apply the SD LoRA with.")
def togglesdquant(a,b,c):
if sd_quant_var.get()==1:
sdloritem1.grid_forget()
sdloritem2.grid_forget()
sdloritem3.grid_forget()
sdloritem4.grid_forget()
sdloritem5.grid_forget()
else:
sdloritem1.grid(row=10,column=0,padx=8,stick="nw")
sdloritem2.grid(row=11,column=0,padx=8,stick="nw")
sdloritem3.grid(row=11,column=1,stick="nw")
sdloritem4.grid(row=12,column=1,stick="nw")
sdloritem5.grid(row=12,column=0,padx=8,stick="nw")
makecheckbox(images_tab, "Compress Weights (Saves Memory)", sd_quant_var, 8,command=togglesdquant,tooltiptxt="Quantizes the SD model weights to save memory. May degrade quality.")
sdvaeitem1,sdvaeitem2,sdvaeitem3 = makefileentry(images_tab, "Image VAE:", "Select SD VAE file",sd_vae_var, 14, filetypes=[("*.safetensors *.gguf", "*.safetensors *.gguf")],tooltiptxt="Select a .safetensors or .gguf SD VAE file to be loaded.")
def toggletaesd(a,b,c):
@ -2328,11 +2342,10 @@ def show_new_gui():
if sd_model_var.get() != "":
args.sdmodel = sd_model_var.get()
args.sdthreads = (0 if sd_threads_var.get()=="" else int(sd_threads_var.get()))
if sd_clamped_var.get()==1:
args.sdclamped = True
args.sdthreads = (0 if sd_threads_var.get()=="" else int(sd_threads_var.get()))
if sd_quant_var.get()==1:
args.sdquant = True
if sd_vaeauto_var.get()==1:
args.sdvaeauto = True
args.sdvae = ""
@ -2341,11 +2354,15 @@ def show_new_gui():
args.sdvae = ""
if sd_vae_var.get() != "":
args.sdvae = sd_vae_var.get()
if sd_lora_var.get() != "":
args.sdlora = sd_lora_var.get()
args.sdloramult = float(sd_loramult_var.get())
else:
if sd_quant_var.get()==1:
args.sdquant = True
args.sdlora = ""
else:
if sd_lora_var.get() != "":
args.sdlora = sd_lora_var.get()
args.sdloramult = float(sd_loramult_var.get())
else:
args.sdlora = ""
def import_vars(dict):
dict = convert_outdated_args(dict)
@ -3478,12 +3495,12 @@ if __name__ == '__main__':
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("--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("--sdquant", help="If specified, loads the model quantized to save memory.", action='store_true')
sdparsergrouplora = sdparsergroup.add_mutually_exclusive_group()
sdparsergrouplora.add_argument("--sdclamped", help="If specified, limit generation steps and resolution settings for shared use.", action='store_true')
sdparsergroup.add_argument("--sdclamped", help="If specified, limit generation steps and resolution settings for shared use.", action='store_true')
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("--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. Cannot be used with quant models.", default="")
sdparsergroup.add_argument("--sdloramult", metavar=('[amount]'), help="Multiplier for the LORA model to be applied.", type=float, default=1.0)