"hypertile_max_depth_unet":shared.OptionInfo(3,"Hypertile U-Net max depth",gr.Slider,{"minimum":0,"maximum":3,"step":1},infotext="Hypertile U-Net max depth").info("larger = more neural network layers affected; minor effect on performance"),
"hypertile_max_depth_unet":shared.OptionInfo(3,"Hypertile U-Net max depth",gr.Slider,{"minimum":0,"maximum":3,"step":1},infotext="Hypertile U-Net max depth").info("larger = more neural network layers affected; minor effect on performance"),
"hypertile_max_tile_unet":shared.OptionInfo(256,"Hypertile U-Net max tile size",gr.Slider,{"minimum":0,"maximum":512,"step":16},infotext="Hypertile U-Net max tile size").info("larger = worse performance"),
"hypertile_max_tile_unet":shared.OptionInfo(256,"Hypertile U-Net max tile size",gr.Slider,{"minimum":0,"maximum":512,"step":16},infotext="Hypertile U-Net max tile size").info("larger = worse performance"),
"hypertile_enable_vae":shared.OptionInfo(False,"Enable Hypertile VAE",infotext="Hypertile VAE").info("minimal change in the generated picture"),
"hypertile_enable_vae":shared.OptionInfo(False,"Enable Hypertile VAE",infotext="Hypertile VAE").info("minimal change in the generated picture"),
"hypertile_max_depth_vae":shared.OptionInfo(3,"Hypertile VAE max depth",gr.Slider,{"minimum":0,"maximum":3,"step":1},infotext="Hypertile VAE max depth"),
"hypertile_max_depth_vae":shared.OptionInfo(3,"Hypertile VAE max depth",gr.Slider,{"minimum":0,"maximum":3,"step":1},infotext="Hypertile VAE max depth"),
"hypertile_max_tile_vae":shared.OptionInfo(128,"Hypertile VAE max tile size",gr.Slider,{"minimum":0,"maximum":512,"step":16},infotext="Hypertile VAE max tile size"),
"hypertile_max_tile_vae":shared.OptionInfo(128,"Hypertile VAE max tile size",gr.Slider,{"minimum":0,"maximum":512,"step":16},infotext="Hypertile VAE max tile size"),
xyz_grid.AxisOption("[Hypertile] Unet First pass Enabled",str,xyz_grid.apply_override('hypertile_enable_unet',boolean=True),choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] Unet Second pass Enabled",str,xyz_grid.apply_override('hypertile_enable_unet_secondpass',boolean=True),choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] Unet Max Depth",int,xyz_grid.apply_override("hypertile_max_depth_unet"),confirm=xyz_grid.confirm_range(0,3,'[Hypertile] Unet Max Depth'),choices=lambda:[str(x)forxinrange(4)]),
xyz_grid.AxisOption("[Hypertile] Unet Max Tile Size",int,xyz_grid.apply_override("hypertile_max_tile_unet"),confirm=xyz_grid.confirm_range(0,512,'[Hypertile] Unet Max Tile Size')),
xyz_grid.AxisOption("[Hypertile] VAE Max Depth",int,xyz_grid.apply_override("hypertile_max_depth_vae"),confirm=xyz_grid.confirm_range(0,3,'[Hypertile] VAE Max Depth'),choices=lambda:[str(x)forxinrange(4)]),
xyz_grid.AxisOption("[Hypertile] VAE Max Tile Size",int,xyz_grid.apply_override("hypertile_max_tile_vae"),confirm=xyz_grid.confirm_range(0,512,'[Hypertile] VAE Max Tile Size')),
Returns a function that applies the given value to the given value_name in opts.data.
"""
defvalidate(value_name:str,value:str):
value=int(value)
# validate value
ifnotmin_range==-1:
assertvalue>=min_range,f"Value {value} for {value_name} must be greater than or equal to {min_range}"
ifnotmax_range==-1:
assertvalue<=max_range,f"Value {value} for {value_name} must be less than or equal to {max_range}"
defapply_int(p,x,xs):
validate(value_name,x)
opts.data[value_name]=int(x)
returnapply_int
defbool_applier(value_name:str):
"""
Returns a function that applies the given value to the given value_name in opts.data.
"""
defvalidate(value_name:str,value:str):
assertvalue.lower()in["true","false"],f"Value {value} for {value_name} must be either true or false"
defapply_bool(p,x,xs):
validate(value_name,x)
value_boolean=x.lower()=="true"
opts.data[value_name]=value_boolean
returnapply_bool
defadd_axis_options():
extra_axis_options=[
xyz_grid.AxisOption("[Hypertile] Unet First pass Enabled",str,bool_applier("hypertile_enable_unet"),choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] Unet Second pass Enabled",str,bool_applier("hypertile_enable_unet_secondpass"),choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] Unet Max Depth",int,int_applier("hypertile_max_depth_unet",0,3),choices=lambda:[str(x)forxinrange(4)]),
xyz_grid.AxisOption("[Hypertile] Unet Max Tile Size",int,int_applier("hypertile_max_tile_unet",0,512)),
parser.add_argument("--lowram",action='store_true',help="load stable diffusion checkpoint weights to VRAM instead of RAM")
parser.add_argument("--lowram",action='store_true',help="load stable diffusion checkpoint weights to VRAM instead of RAM")
parser.add_argument("--always-batch-cond-uncond",action='store_true',help="does not do anything")
parser.add_argument("--always-batch-cond-uncond",action='store_true',help="does not do anything")
parser.add_argument("--unload-gfpgan",action='store_true',help="does not do anything.")
parser.add_argument("--unload-gfpgan",action='store_true',help="does not do anything.")
parser.add_argument("--precision",type=str,help="evaluate at this precision",choices=["full","autocast"],default="autocast")
parser.add_argument("--precision",type=str,help="evaluate at this precision",choices=["full","half","autocast"],default="autocast")
parser.add_argument("--upcast-sampling",action='store_true',help="upcast sampling. No effect with --no-half. Usually produces similar results to --no-half with better performance while using less memory.")
parser.add_argument("--upcast-sampling",action='store_true',help="upcast sampling. No effect with --no-half. Usually produces similar results to --no-half with better performance while using less memory.")
parser.add_argument("--share",action='store_true',help="use share=True for gradio and make the UI accessible through their site")
parser.add_argument("--share",action='store_true',help="use share=True for gradio and make the UI accessible through their site")
parser.add_argument("--ngrok",type=str,help="ngrok authtoken, alternative to gradio --share",default=None)
parser.add_argument("--ngrok",type=str,help="ngrok authtoken, alternative to gradio --share",default=None)
"s_min_uncond":OptionInfo(0.0,"Negative Guidance minimum sigma",gr.Slider,{"minimum":0.0,"maximum":15.0,"step":0.01}).link("PR","https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
"s_min_uncond":OptionInfo(0.0,"Negative Guidance minimum sigma",gr.Slider,{"minimum":0.0,"maximum":15.0,"step":0.01},infotext='NGMS').link("PR","https://github.com/AUTOMATIC1111/stablediffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
"s_min_uncond_all":OptionInfo(False,"Negative Guidance minimum sigma all steps",infotext='NGMS all steps').info("By default, NGMS above skips every other step; this makes it skip all steps"),
"token_merging_ratio_img2img":OptionInfo(0.0,"Token merging ratio for img2img",gr.Slider,{"minimum":0.0,"maximum":0.9,"step":0.1}).info("only applies if non-zero and overrides above"),
"token_merging_ratio_img2img":OptionInfo(0.0,"Token merging ratio for img2img",gr.Slider,{"minimum":0.0,"maximum":0.9,"step":0.1}).info("only applies if non-zero and overrides above"),
"token_merging_ratio_hr":OptionInfo(0.0,"Token merging ratio for high-res pass",gr.Slider,{"minimum":0.0,"maximum":0.9,"step":0.1},infotext='Token merging ratio hr').info("only applies if non-zero and overrides above"),
"token_merging_ratio_hr":OptionInfo(0.0,"Token merging ratio for high-res pass",gr.Slider,{"minimum":0.0,"maximum":0.9,"step":0.1},infotext='Token merging ratio hr').info("only applies if non-zero and overrides above"),
'uni_pc_order':OptionInfo(3,"UniPC order",gr.Slider,{"minimum":1,"maximum":50,"step":1},infotext='UniPC order').info("must be < sampling steps"),
'uni_pc_order':OptionInfo(3,"UniPC order",gr.Slider,{"minimum":1,"maximum":50,"step":1},infotext='UniPC order').info("must be < sampling steps"),
'uni_pc_lower_order_final':OptionInfo(True,"UniPC lower order final",infotext='UniPC lower order final'),
'uni_pc_lower_order_final':OptionInfo(True,"UniPC lower order final",infotext='UniPC lower order final'),
'sd_noise_schedule':OptionInfo("Default","Noise schedule for sampling",gr.Radio,{"choices":["Default","Zero Terminal SNR"]},infotext="Noise Schedule").info("for use with zero terminal SNR trained models")
'sd_noise_schedule':OptionInfo("Default","Noise schedule for sampling",gr.Radio,{"choices":["Default","Zero Terminal SNR"]},infotext="Noise Schedule").info("for use with zero terminal SNR trained models"),
'skip_early_cond':OptionInfo(0.0,"Ignore negative prompt during early sampling",gr.Slider,{"minimum":0.0,"maximum":1.0,"step":0.01},infotext="Skip Early CFG").info("disables CFG on a proportion of steps at the beginning of generation; 0=skip none; 1=skip all; can both improve sample diversity/quality and speed up sampling"),
img2img_batch_use_png_info=gr.Checkbox(label="Append png info to prompts",**shared.hide_dirs,elem_id="img2img_batch_use_png_info")
img2img_batch_use_png_info=gr.Checkbox(label="Append png info to prompts",elem_id="img2img_batch_use_png_info")
img2img_batch_png_info_dir=gr.Textbox(label="PNG info directory",**shared.hide_dirs,placeholder="Leave empty to use input directory",elem_id="img2img_batch_png_info_dir")
img2img_batch_png_info_dir=gr.Textbox(label="PNG info directory",**shared.hide_dirs,placeholder="Leave empty to use input directory",elem_id="img2img_batch_png_info_dir")
img2img_batch_png_info_props=gr.CheckboxGroup(["Prompt","Negative prompt","Seed","CFG scale","Sampler","Steps","Model hash"],label="Parameters to take from png info",info="Prompts from png info will be appended to prompts set in ui.")
img2img_batch_png_info_props=gr.CheckboxGroup(["Prompt","Negative prompt","Seed","CFG scale","Sampler","Steps","Model hash"],label="Parameters to take from png info",info="Prompts from png info will be appended to prompts set in ui.")
