Update app.py

app.py

@@ -1,5 +1,10 @@
 import os
-from subprocess import getoutput
+import json
+
+negative = "(worst quality, low quality:1.4), bad-image-v2-39000, bad_prompt_version2"
+sampler = "DPM++ 2M Karras"
+steps = 35
+scale = 7.0
 
 if not os.path.exists("stable-diffusion-webui"):
     os.system("git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui")
@@ -32,16 +37,881 @@ os.chdir("..")
 os.chdir("models/Stable-diffusion")
 models = [
     #"https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/anything-v3-fp32-pruned.safetensors",
-    #"https://huggingface.co/admruul/anything-v3.0/resolve/main/Anything-V3.0.vae.pt",
+    "https://huggingface.co/admruul/anything-v3.0/resolve/main/Anything-V3.0.vae.pt",
     "https://huggingface.co/m4gnett/any-pastel/resolve/main/AnyPastel-nsfw-fp16.safetensors",
-    "https://huggingface.co/andite/anything-v4.0/resolve/main/anything-v4.0.vae.pt"
+    # "https://huggingface.co/andite/anything-v4.0/resolve/main/anything-v4.0.vae.pt"
 ]
 
+default_model = None
+default_vae = None
+                
 os.system(f"wget {' '.join(models)}")
 os.chdir("../..")
 
+for model in models:
+    if None not in (default_model, default_vae) or default_model and 'vae.pt' not in ''.join(models):
+        break
+    if "vae.pt" in model:
+        default_vae = model.split('/')[-1]
+    else:
+        default_model = model.split('/')[-1]
+
 os.system("pip install -U -qq pip")
 os.system("pip install -qq -r requirements.txt")
 os.system("pip install -qq pytorch_lightning==1.7.7")
 
+ui_config = {
+    "txt2img/Prompt/visible": True,
+    "txt2img/Prompt/value": "",
+    "txt2img/Negative prompt/visible": True,
+    "txt2img/Negative prompt/value": negative,
+    "txt2img/Style 1/visible": True,
+    "txt2img/Style 1/value": "None",
+    "txt2img/Style 2/visible": True,
+    "txt2img/Style 2/value": "None",
+    "txt2img/Sampling method/visible": True,
+    "txt2img/Sampling method/value": sampler,
+    "txt2img/Sampling steps/visible": True,
+    "txt2img/Sampling steps/value": steps,
+    "txt2img/Sampling steps/minimum": 1,
+    "txt2img/Sampling steps/maximum": 150,
+    "txt2img/Sampling steps/step": 1,
+    "txt2img/Width/visible": True,
+    "txt2img/Width/value": 512,
+    "txt2img/Width/minimum": 64,
+    "txt2img/Width/maximum": 2048,
+    "txt2img/Width/step": 8,
+    "txt2img/Height/visible": True,
+    "txt2img/Height/value": 768,
+    "txt2img/Height/minimum": 64,
+    "txt2img/Height/maximum": 2048,
+    "txt2img/Height/step": 8,
+    "txt2img/Batch count/visible": True,
+    "txt2img/Batch count/value": 1,
+    "txt2img/Batch count/minimum": 1,
+    "txt2img/Batch count/maximum": 100,
+    "txt2img/Batch count/step": 1,
+    "txt2img/Batch size/visible": True,
+    "txt2img/Batch size/value": 1,
+    "txt2img/Batch size/minimum": 1,
+    "txt2img/Batch size/maximum": 8,
+    "txt2img/Batch size/step": 1,
+    "txt2img/CFG Scale/visible": True,
+    "txt2img/CFG Scale/value": scale,
+    "txt2img/CFG Scale/minimum": 1.0,
+    "txt2img/CFG Scale/maximum": 30.0,
+    "txt2img/CFG Scale/step": 0.5,
+    "txt2img/Seed/visible": True,
+    "txt2img/Seed/value": -1.0,
+    "txt2img/Extra/visible": True,
+    "txt2img/Extra/value": False,
+    "txt2img/Variation seed/visible": True,
+    "txt2img/Variation seed/value": -1.0,
+    "txt2img/Variation strength/visible": True,
+    "txt2img/Variation strength/value": 0.0,
+    "txt2img/Variation strength/minimum": 0,
+    "txt2img/Variation strength/maximum": 1,
+    "txt2img/Variation strength/step": 0.01,
+    "txt2img/Resize seed from width/visible": True,
+    "txt2img/Resize seed from width/value": 0,
+    "txt2img/Resize seed from width/minimum": 0,
+    "txt2img/Resize seed from width/maximum": 2048,
+    "txt2img/Resize seed from width/step": 8,
+    "txt2img/Resize seed from height/visible": True,
+    "txt2img/Resize seed from height/value": 0,
+    "txt2img/Resize seed from height/minimum": 0,
+    "txt2img/Resize seed from height/maximum": 2048,
+    "txt2img/Resize seed from height/step": 8,
+    "txt2img/Restore faces/visible": True,
+    "txt2img/Restore faces/value": False,
+    "txt2img/Tiling/visible": True,
+    "txt2img/Tiling/value": False,
+    "txt2img/Hires. fix/visible": True,
+    "txt2img/Hires. fix/value": False,
+    "txt2img/Upscaler/visible": True,
+    "txt2img/Upscaler/value": "Latent",
+    "txt2img/Hires steps/visible": True,
+    "txt2img/Hires steps/value": 0,
+    "txt2img/Hires steps/minimum": 0,
+    "txt2img/Hires steps/maximum": 150,
+    "txt2img/Hires steps/step": 1,
+    "txt2img/Denoising strength/visible": True,
+    "txt2img/Denoising strength/value": 0.7,
+    "txt2img/Denoising strength/minimum": 0.0,
+    "txt2img/Denoising strength/maximum": 1.0,
+    "txt2img/Denoising strength/step": 0.01,
+    "txt2img/Upscale by/visible": True,
+    "txt2img/Upscale by/value": 2.0,
+    "txt2img/Upscale by/minimum": 1.0,
+    "txt2img/Upscale by/maximum": 4.0,
+    "txt2img/Upscale by/step": 0.05,
+    "txt2img/Resize width to/visible": True,
+    "txt2img/Resize width to/value": 0,
+    "txt2img/Resize width to/minimum": 0,
+    "txt2img/Resize width to/maximum": 2048,
+    "txt2img/Resize width to/step": 8,
+    "txt2img/Resize height to/visible": True,
+    "txt2img/Resize height to/value": 0,
+    "txt2img/Resize height to/minimum": 0,
+    "txt2img/Resize height to/maximum": 2048,
+    "txt2img/Resize height to/step": 8,
+    "txt2img/Script/visible": True,
+    "txt2img/Script/value": "None",
+    "customscript/prompt_matrix.py/txt2img/Put variable parts at start of prompt/visible": True,
+    "customscript/prompt_matrix.py/txt2img/Put variable parts at start of prompt/value": False,
+    "customscript/prompt_matrix.py/txt2img/Use different seed for each picture/visible": True,
+    "customscript/prompt_matrix.py/txt2img/Use different seed for each picture/value": False,
+    "customscript/prompts_from_file.py/txt2img/Iterate seed every line/visible": True,
+    "customscript/prompts_from_file.py/txt2img/Iterate seed every line/value": False,
+    "customscript/prompts_from_file.py/txt2img/Use same random seed for all lines/visible": True,
+    "customscript/prompts_from_file.py/txt2img/Use same random seed for all lines/value": False,
+    "customscript/prompts_from_file.py/txt2img/List of prompt inputs/visible": True,
+    "customscript/prompts_from_file.py/txt2img/List of prompt inputs/value": "",
+    "customscript/xy_grid.py/txt2img/X type/visible": True,
+    "customscript/xy_grid.py/txt2img/X type/value": "Seed",
+    "customscript/xy_grid.py/txt2img/X values/visible": True,
+    "customscript/xy_grid.py/txt2img/X values/value": "",
+    "customscript/xy_grid.py/txt2img/Y type/visible": True,
+    "customscript/xy_grid.py/txt2img/Y type/value": "Nothing",
+    "customscript/xy_grid.py/txt2img/Y values/visible": True,
+    "customscript/xy_grid.py/txt2img/Y values/value": "",
+    "customscript/xy_grid.py/txt2img/Draw legend/visible": True,
+    "customscript/xy_grid.py/txt2img/Draw legend/value": True,
+    "customscript/xy_grid.py/txt2img/Include Separate Images/visible": True,
+    "customscript/xy_grid.py/txt2img/Include Separate Images/value": False,
+    "customscript/xy_grid.py/txt2img/Keep -1 for seeds/visible": True,
+    "customscript/xy_grid.py/txt2img/Keep -1 for seeds/value": False,
+    "img2img/Prompt/visible": True,
+    "img2img/Prompt/value": "",
+    "img2img/Negative prompt/visible": True,
+    "img2img/Negative prompt/value": "",
+    "img2img/Style 1/visible": True,
+    "img2img/Style 1/value": "None",
+    "img2img/Style 2/visible": True,
+    "img2img/Style 2/value": "None",
+    "img2img/Input directory/visible": True,
+    "img2img/Input directory/value": "",
+    "img2img/Output directory/visible": True,
+    "img2img/Output directory/value": "",
+    "img2img/Resize mode/visible": True,
+    "img2img/Resize mode/value": "Just resize",
+    "img2img/Mask blur/visible": True,
+    "img2img/Mask blur/value": 4,
+    "img2img/Mask blur/minimum": 0,
+    "img2img/Mask blur/maximum": 64,
+    "img2img/Mask blur/step": 1,
+    "img2img/Mask transparency/value": 0,
+    "img2img/Mask transparency/minimum": 0,
+    "img2img/Mask transparency/maximum": 100,
+    "img2img/Mask transparency/step": 1,
+    "img2img/Mask mode/visible": True,
+    "img2img/Mask mode/value": "Inpaint masked",
+    "img2img/Masked content/visible": True,
+    "img2img/Masked content/value": "original",
+    "img2img/Inpaint area/visible": True,
+    "img2img/Inpaint area/value": "Whole picture",
+    "img2img/Only masked padding, pixels/visible": True,
+    "img2img/Only masked padding, pixels/value": 32,
+    "img2img/Only masked padding, pixels/minimum": 0,
+    "img2img/Only masked padding, pixels/maximum": 256,
+    "img2img/Only masked padding, pixels/step": 4,
+    "img2img/Sampling method/visible": True,
+    "img2img/Sampling method/value": "Euler a",
+    "img2img/Sampling steps/visible": True,
+    "img2img/Sampling steps/value": 20,
+    "img2img/Sampling steps/minimum": 1,
+    "img2img/Sampling steps/maximum": 150,
+    "img2img/Sampling steps/step": 1,
+    "img2img/Width/visible": True,
+    "img2img/Width/value": 512,
+    "img2img/Width/minimum": 64,
+    "img2img/Width/maximum": 2048,
+    "img2img/Width/step": 8,
+    "img2img/Height/visible": True,
+    "img2img/Height/value": 512,
+    "img2img/Height/minimum": 64,
+    "img2img/Height/maximum": 2048,
+    "img2img/Height/step": 8,
+    "img2img/Batch count/visible": True,
+    "img2img/Batch count/value": 1,
+    "img2img/Batch count/minimum": 1,
+    "img2img/Batch count/maximum": 100,
+    "img2img/Batch count/step": 1,
+    "img2img/Batch size/visible": True,
+    "img2img/Batch size/value": 1,
+    "img2img/Batch size/minimum": 1,
+    "img2img/Batch size/maximum": 8,
+    "img2img/Batch size/step": 1,
+    "img2img/CFG Scale/visible": True,
+    "img2img/CFG Scale/value": 7.0,
+    "img2img/CFG Scale/minimum": 1.0,
+    "img2img/CFG Scale/maximum": 30.0,
+    "img2img/CFG Scale/step": 0.5,
+    "img2img/Denoising strength/visible": True,
+    "img2img/Denoising strength/value": 0.75,
+    "img2img/Denoising strength/minimum": 0.0,
+    "img2img/Denoising strength/maximum": 1.0,
+    "img2img/Denoising strength/step": 0.01,
+    "img2img/Seed/visible": True,
+    "img2img/Seed/value": -1.0,
+    "img2img/Extra/visible": True,
+    "img2img/Extra/value": False,
+    "img2img/Variation seed/visible": True,
+    "img2img/Variation seed/value": -1.0,
+    "img2img/Variation strength/visible": True,
+    "img2img/Variation strength/value": 0.0,
+    "img2img/Variation strength/minimum": 0,
+    "img2img/Variation strength/maximum": 1,
+    "img2img/Variation strength/step": 0.01,
+    "img2img/Resize seed from width/visible": True,
+    "img2img/Resize seed from width/value": 0,
+    "img2img/Resize seed from width/minimum": 0,
+    "img2img/Resize seed from width/maximum": 2048,
+    "img2img/Resize seed from width/step": 8,
+    "img2img/Resize seed from height/visible": True,
+    "img2img/Resize seed from height/value": 0,
+    "img2img/Resize seed from height/minimum": 0,
+    "img2img/Resize seed from height/maximum": 2048,
+    "img2img/Resize seed from height/step": 8,
+    "img2img/Restore faces/visible": True,
+    "img2img/Restore faces/value": False,
+    "img2img/Tiling/visible": True,
+    "img2img/Tiling/value": False,
+    "img2img/Script/visible": True,
+    "img2img/Script/value": "None",
+    "customscript/img2imgalt.py/img2img/Override `Sampling method` to Euler?(this method is built for it)/visible": True,
+    "customscript/img2imgalt.py/img2img/Override `Sampling method` to Euler?(this method is built for it)/value": True,
+    "customscript/img2imgalt.py/img2img/Override `prompt` to the same value as `original prompt`?(and `negative prompt`)/visible": True,
+    "customscript/img2imgalt.py/img2img/Override `prompt` to the same value as `original prompt`?(and `negative prompt`)/value": True,
+    "customscript/img2imgalt.py/img2img/Original prompt/visible": True,
+    "customscript/img2imgalt.py/img2img/Original prompt/value": "",
+    "customscript/img2imgalt.py/img2img/Original negative prompt/visible": True,
+    "customscript/img2imgalt.py/img2img/Original negative prompt/value": "",
+    "customscript/img2imgalt.py/img2img/Override `Sampling Steps` to the same value as `Decode steps`?/visible": True,
+    "customscript/img2imgalt.py/img2img/Override `Sampling Steps` to the same value as `Decode steps`?/value": True,
+    "customscript/img2imgalt.py/img2img/Decode steps/visible": True,
+    "customscript/img2imgalt.py/img2img/Decode steps/value": 50,
+    "customscript/img2imgalt.py/img2img/Decode steps/minimum": 1,
+    "customscript/img2imgalt.py/img2img/Decode steps/maximum": 150,
+    "customscript/img2imgalt.py/img2img/Decode steps/step": 1,
+    "customscript/img2imgalt.py/img2img/Override `Denoising strength` to 1?/visible": True,
+    "customscript/img2imgalt.py/img2img/Override `Denoising strength` to 1?/value": True,
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/visible": True,
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/value": 1.0,
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/minimum": 0.0,
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/maximum": 15.0,
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/step": 0.1,
+    "customscript/img2imgalt.py/img2img/Randomness/visible": True,
+    "customscript/img2imgalt.py/img2img/Randomness/value": 0.0,
+    "customscript/img2imgalt.py/img2img/Randomness/minimum": 0.0,
+    "customscript/img2imgalt.py/img2img/Randomness/maximum": 1.0,
+    "customscript/img2imgalt.py/img2img/Randomness/step": 0.01,
+    "customscript/img2imgalt.py/img2img/Sigma adjustment for finding noise for image/visible": True,
+    "customscript/img2imgalt.py/img2img/Sigma adjustment for finding noise for image/value": False,
+    "customscript/loopback.py/img2img/Loops/visible": True,
+    "customscript/loopback.py/img2img/Loops/value": 4,
+    "customscript/loopback.py/img2img/Loops/minimum": 1,
+    "customscript/loopback.py/img2img/Loops/maximum": 32,
+    "customscript/loopback.py/img2img/Loops/step": 1,
+    "customscript/loopback.py/img2img/Denoising strength change factor/visible": True,
+    "customscript/loopback.py/img2img/Denoising strength change factor/value": 1,
+    "customscript/loopback.py/img2img/Denoising strength change factor/minimum": 0.9,
+    "customscript/loopback.py/img2img/Denoising strength change factor/maximum": 1.1,
+    "customscript/loopback.py/img2img/Denoising strength change factor/step": 0.01,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/visible": True,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/value": 128,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/minimum": 8,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/maximum": 256,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/step": 8,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/visible": True,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/value": 8,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/minimum": 0,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/maximum": 64,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/step": 1,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/visible": True,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/value": 1.0,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/minimum": 0.0,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/maximum": 4.0,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/step": 0.01,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/visible": True,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/value": 0.05,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/minimum": 0.0,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/maximum": 1.0,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/step": 0.01,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/visible": True,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/value": 128,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/minimum": 8,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/maximum": 256,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/step": 8,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/visible": True,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/value": 4,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/minimum": 0,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/maximum": 64,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/step": 1,
+    "customscript/poor_mans_outpainting.py/img2img/Masked content/visible": True,
+    "customscript/poor_mans_outpainting.py/img2img/Masked content/value": "fill",
+    "customscript/prompt_matrix.py/img2img/Put variable parts at start of prompt/visible": True,
+    "customscript/prompt_matrix.py/img2img/Put variable parts at start of prompt/value": False,
+    "customscript/prompt_matrix.py/img2img/Use different seed for each picture/visible": True,
+    "customscript/prompt_matrix.py/img2img/Use different seed for each picture/value": False,
+    "customscript/prompts_from_file.py/img2img/Iterate seed every line/visible": True,
+    "customscript/prompts_from_file.py/img2img/Iterate seed every line/value": False,
+    "customscript/prompts_from_file.py/img2img/Use same random seed for all lines/visible": True,
+    "customscript/prompts_from_file.py/img2img/Use same random seed for all lines/value": False,
+    "customscript/prompts_from_file.py/img2img/List of prompt inputs/visible": True,
+    "customscript/prompts_from_file.py/img2img/List of prompt inputs/value": "",
+    "customscript/sd_upscale.py/img2img/Tile overlap/visible": True,
+    "customscript/sd_upscale.py/img2img/Tile overlap/value": 64,
+    "customscript/sd_upscale.py/img2img/Tile overlap/minimum": 0,
+    "customscript/sd_upscale.py/img2img/Tile overlap/maximum": 256,
+    "customscript/sd_upscale.py/img2img/Tile overlap/step": 16,
+    "customscript/sd_upscale.py/img2img/Scale Factor/visible": True,
+    "customscript/sd_upscale.py/img2img/Scale Factor/value": 2.0,
+    "customscript/sd_upscale.py/img2img/Scale Factor/minimum": 1.0,
+    "customscript/sd_upscale.py/img2img/Scale Factor/maximum": 4.0,
+    "customscript/sd_upscale.py/img2img/Scale Factor/step": 0.05,
+    "customscript/sd_upscale.py/img2img/Upscaler/visible": True,
+    "customscript/sd_upscale.py/img2img/Upscaler/value": "None",
+    "customscript/xy_grid.py/img2img/X type/visible": True,
+    "customscript/xy_grid.py/img2img/X type/value": "Seed",
+    "customscript/xy_grid.py/img2img/X values/visible": True,
+    "customscript/xy_grid.py/img2img/X values/value": "",
+    "customscript/xy_grid.py/img2img/Y type/visible": True,
+    "customscript/xy_grid.py/img2img/Y type/value": "Nothing",
+    "customscript/xy_grid.py/img2img/Y values/visible": True,
+    "customscript/xy_grid.py/img2img/Y values/value": "",
+    "customscript/xy_grid.py/img2img/Draw legend/visible": True,
+    "customscript/xy_grid.py/img2img/Draw legend/value": True,
+    "customscript/xy_grid.py/img2img/Include Separate Images/visible": True,
+    "customscript/xy_grid.py/img2img/Include Separate Images/value": False,
+    "customscript/xy_grid.py/img2img/Keep -1 for seeds/visible": True,
+    "customscript/xy_grid.py/img2img/Keep -1 for seeds/value": False,
+    "extras/Input directory/visible": True,
+    "extras/Input directory/value": "",
+    "extras/Output directory/visible": True,
+    "extras/Output directory/value": "",
+    "extras/Show result images/visible": True,
+    "extras/Show result images/value": True,
+    "extras/Resize/visible": True,
+    "extras/Resize/value": 4,
+    "extras/Resize/minimum": 1.0,
+    "extras/Resize/maximum": 8.0,
+    "extras/Resize/step": 0.05,
+    "extras/Width/visible": True,
+    "extras/Width/value": 512,
+    "extras/Height/visible": True,
+    "extras/Height/value": 512,
+    "extras/Crop to fit/visible": True,
+    "extras/Crop to fit/value": True,
+    "extras/Upscaler 1/visible": True,
+    "extras/Upscaler 1/value": "None",
+    "extras/Upscaler 2/visible": True,
+    "extras/Upscaler 2/value": "None",
+    "extras/Upscaler 2 visibility/visible": True,
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+    "extras/Upscale Before Restoring Faces/value": False,
+    "modelmerger/Primary model (A)/visible": True,
+    "modelmerger/Primary model (A)/value": None,
+    "modelmerger/Secondary model (B)/visible": True,
+    "modelmerger/Secondary model (B)/value": None,
+    "modelmerger/Tertiary model (C)/visible": True,
+    "modelmerger/Tertiary model (C)/value": None,
+    "modelmerger/Custom Name (Optional)/visible": True,
+    "modelmerger/Custom Name (Optional)/value": "",
+    "modelmerger/Multiplier (M) - set to 0 to get model A/visible": True,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/value": 0.3,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/minimum": 0.0,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/maximum": 1.0,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/step": 0.05,
+    "modelmerger/Interpolation Method/visible": True,
+    "modelmerger/Interpolation Method/value": "Weighted sum",
+    "modelmerger/Checkpoint format/visible": True,
+    "modelmerger/Checkpoint format/value": "ckpt",
+    "modelmerger/Save as float16/visible": True,
+    "modelmerger/Save as float16/value": False,
+    "modelmerger/Copy config from/visible": True,
+    "modelmerger/Copy config from/value": "A, B or C",
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+    "train/Name/value": "",
+    "train/Initialization text/visible": True,
+    "train/Initialization text/value": "*",
+    "train/Number of vectors per token/visible": True,
+    "train/Number of vectors per token/value": 1,
+    "train/Number of vectors per token/minimum": 1,
+    "train/Number of vectors per token/maximum": 75,
+    "train/Number of vectors per token/step": 1,
+    "train/Overwrite Old Embedding/visible": True,
+    "train/Overwrite Old Embedding/value": False,
+    "train/Enter hypernetwork layer structure/visible": True,
+    "train/Enter hypernetwork layer structure/value": "1, 2, 1",
+    "train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/visible": True,
+    "train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/value": "linear",
+    "train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/visible": True,
+    "train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/value": "Normal",
+    "train/Add layer normalization/visible": True,
+    "train/Add layer normalization/value": False,
+    "train/Use dropout/visible": True,
+    "train/Use dropout/value": False,
+    "train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/visible": True,
+    "train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/value": "0, 0, 0",
+    "train/Overwrite Old Hypernetwork/visible": True,
+    "train/Overwrite Old Hypernetwork/value": False,
+    "train/Source directory/visible": True,
+    "train/Source directory/value": "",
+    "train/Destination directory/visible": True,
+    "train/Destination directory/value": "",
+    "train/Width/visible": True,
+    "train/Width/value": 512,
+    "train/Width/minimum": 64,
+    "train/Width/maximum": 2048,
+    "train/Width/step": 8,
+    "train/Height/visible": True,
+    "train/Height/value": 512,
+    "train/Height/minimum": 64,
+    "train/Height/maximum": 2048,
+    "train/Height/step": 8,
+    "train/Existing Caption txt Action/visible": True,
+    "train/Existing Caption txt Action/value": "ignore",
+    "train/Create flipped copies/visible": True,
+    "train/Create flipped copies/value": False,
+    "train/Split oversized images/visible": True,
+    "train/Split oversized images/value": False,
+    "train/Auto focal point crop/visible": True,
+    "train/Auto focal point crop/value": False,
+    "train/Use BLIP for caption/visible": True,
+    "train/Use BLIP for caption/value": False,
+    "train/Use deepbooru for caption/visible": True,
+    "train/Use deepbooru for caption/value": False,
+    "train/Split image threshold/visible": True,
+    "train/Split image threshold/value": 0.5,
+    "train/Split image threshold/minimum": 0.0,
+    "train/Split image threshold/maximum": 1.0,
+    "train/Split image threshold/step": 0.05,
+    "train/Split image overlap ratio/visible": True,
+    "train/Split image overlap ratio/value": 0.2,
+    "train/Split image overlap ratio/minimum": 0.0,
+    "train/Split image overlap ratio/maximum": 0.9,
+    "train/Split image overlap ratio/step": 0.05,
+    "train/Focal point face weight/visible": True,
+    "train/Focal point face weight/value": 0.9,
+    "train/Focal point face weight/minimum": 0.0,
+    "train/Focal point face weight/maximum": 1.0,
+    "train/Focal point face weight/step": 0.05,
+    "train/Focal point entropy weight/visible": True,
+    "train/Focal point entropy weight/value": 0.15,
+    "train/Focal point entropy weight/minimum": 0.0,
+    "train/Focal point entropy weight/maximum": 1.0,
+    "train/Focal point entropy weight/step": 0.05,
+    "train/Focal point edges weight/visible": True,
+    "train/Focal point edges weight/value": 0.5,
+    "train/Focal point edges weight/minimum": 0.0,
+    "train/Focal point edges weight/maximum": 1.0,
+    "train/Focal point edges weight/step": 0.05,
+    "train/Create debug image/visible": True,
+    "train/Create debug image/value": False,
+    "train/Embedding/visible": True,
+    "train/Embedding/value": None,
+    "train/Hypernetwork/visible": True,
+    "train/Hypernetwork/value": None,
+    "train/Embedding Learning rate/visible": True,
+    "train/Embedding Learning rate/value": "0.005",
+    "train/Hypernetwork Learning rate/visible": True,
+    "train/Hypernetwork Learning rate/value": "0.00001",
+    "train/Gradient Clipping/visible": True,
+    "train/Gradient Clipping/value": "disabled",
+    "train/Batch size/visible": True,
+    "train/Batch size/value": 1,
+    "train/Gradient accumulation steps/visible": True,
+    "train/Gradient accumulation steps/value": 1,
+    "train/Dataset directory/visible": True,
+    "train/Dataset directory/value": "",
+    "train/Log directory/visible": True,
+    "train/Log directory/value": "textual_inversion",
+    "train/Prompt template/visible": True,
+    "train/Prompt template/value": "style_filewords.txt",
+    "train/Do not resize images/visible": True,
+    "train/Do not resize images/value": False,
+    "train/Max steps/visible": True,
+    "train/Max steps/value": 100000,
+    "train/Save an image to log directory every N steps, 0 to disable/visible": True,
+    "train/Save an image to log directory every N steps, 0 to disable/value": 500,
+    "train/Save a copy of embedding to log directory every N steps, 0 to disable/visible": True,
+    "train/Save a copy of embedding to log directory every N steps, 0 to disable/value": 500,
+    "train/Save images with embedding in PNG chunks/visible": True,
+    "train/Save images with embedding in PNG chunks/value": True,
+    "train/Read parameters (prompt, etc...) from txt2img tab when making previews/visible": True,
+    "train/Read parameters (prompt, etc...) from txt2img tab when making previews/value": False,
+    "train/Shuffle tags by ',' when creating prompts./visible": True,
+    "train/Shuffle tags by ',' when creating prompts./value": False,
+    "train/Drop out tags when creating prompts./visible": True,
+    "train/Drop out tags when creating prompts./value": 0,
+    "train/Drop out tags when creating prompts./minimum": 0,
+    "train/Drop out tags when creating prompts./maximum": 1,
+    "train/Drop out tags when creating prompts./step": 0.1,
+    "train/Choose latent sampling method/visible": True,
+    "train/Choose latent sampling method/value": "once",
+    "txt2img/Sampling Steps/visible": True,
+    "txt2img/Sampling Steps/value": 20,
+    "txt2img/Sampling Steps/minimum": 1,
+    "txt2img/Sampling Steps/maximum": 150,
+    "txt2img/Sampling Steps/step": 1,
+    "txt2img/Highres. fix/visible": True,
+    "txt2img/Highres. fix/value": False,
+    "txt2img/Firstpass width/visible": True,
+    "txt2img/Firstpass width/value": 0,
+    "txt2img/Firstpass width/minimum": 0,
+    "txt2img/Firstpass width/maximum": 1024,
+    "txt2img/Firstpass width/step": 8,
+    "txt2img/Firstpass height/visible": True,
+    "txt2img/Firstpass height/value": 0,
+    "txt2img/Firstpass height/minimum": 0,
+    "txt2img/Firstpass height/maximum": 1024,
+    "txt2img/Firstpass height/step": 8,
+    "txt2img/New preset name/visible": True,
+    "txt2img/New preset name/value": "",
+    "txt2img/Make Zip when Save?/visible": True,
+    "txt2img/Make Zip when Save?/value": False,
+    "img2img/Masking mode/visible": True,
+    "img2img/Masking mode/value": "Inpaint masked",
+    "img2img/Inpaint at full resolution/visible": True,
+    "img2img/Inpaint at full resolution/value": False,
+    "img2img/Inpaint at full resolution padding, pixels/visible": True,
+    "img2img/Inpaint at full resolution padding, pixels/value": 32,
+    "img2img/Inpaint at full resolution padding, pixels/minimum": 0,
+    "img2img/Inpaint at full resolution padding, pixels/maximum": 256,
+    "img2img/Inpaint at full resolution padding, pixels/step": 4,
+    "img2img/Sampling Steps/visible": True,
+    "img2img/Sampling Steps/value": 20,
+    "img2img/Sampling Steps/minimum": 1,
+    "img2img/Sampling Steps/maximum": 150,
+    "img2img/Sampling Steps/step": 1,
+    "img2img/New preset name/visible": True,
+    "img2img/New preset name/value": "",
+    "img2img/Make Zip when Save?/visible": True,
+    "img2img/Make Zip when Save?/value": False,
+    "txt2img/Styles/visible": True,
+    "txt2img/Styles/value": [],
+    "txt2img/Override settings/value": None,
+    "customscript/xyz_grid.py/txt2img/X type/visible": True,
+    "customscript/xyz_grid.py/txt2img/X type/value": "Seed",
+    "customscript/xyz_grid.py/txt2img/X values/visible": True,
+    "customscript/xyz_grid.py/txt2img/X values/value": "",
+    "customscript/xyz_grid.py/txt2img/Y type/visible": True,
+    "customscript/xyz_grid.py/txt2img/Y type/value": "Nothing",
+    "customscript/xyz_grid.py/txt2img/Y values/visible": True,
+    "customscript/xyz_grid.py/txt2img/Y values/value": "",
+    "customscript/xyz_grid.py/txt2img/Z type/visible": True,
+    "customscript/xyz_grid.py/txt2img/Z type/value": "Nothing",
+    "customscript/xyz_grid.py/txt2img/Z values/visible": True,
+    "customscript/xyz_grid.py/txt2img/Z values/value": "",
+    "customscript/xyz_grid.py/txt2img/Draw legend/visible": True,
+    "customscript/xyz_grid.py/txt2img/Draw legend/value": True,
+    "customscript/xyz_grid.py/txt2img/Include Sub Images/visible": True,
+    "customscript/xyz_grid.py/txt2img/Include Sub Images/value": False,
+    "customscript/xyz_grid.py/txt2img/Include Sub Grids/visible": True,
+    "customscript/xyz_grid.py/txt2img/Include Sub Grids/value": False,
+    "customscript/xyz_grid.py/txt2img/Keep -1 for seeds/visible": True,
+    "customscript/xyz_grid.py/txt2img/Keep -1 for seeds/value": False,
+    "img2img/Styles/visible": True,
+    "img2img/Styles/value": [],
+    "img2img/Inpaint batch mask directory (required for inpaint batch processing only)/visible": True,
+    "img2img/Inpaint batch mask directory (required for inpaint batch processing only)/value": "",
+    "img2img/Override settings/value": None,
+    "customscript/xyz_grid.py/img2img/X type/visible": True,
+    "customscript/xyz_grid.py/img2img/X type/value": "Seed",
+    "customscript/xyz_grid.py/img2img/X values/visible": True,
+    "customscript/xyz_grid.py/img2img/X values/value": "",
+    "customscript/xyz_grid.py/img2img/Y type/visible": True,
+    "customscript/xyz_grid.py/img2img/Y type/value": "Nothing",
+    "customscript/xyz_grid.py/img2img/Y values/visible": True,
+    "customscript/xyz_grid.py/img2img/Y values/value": "",
+    "customscript/xyz_grid.py/img2img/Z type/visible": True,
+    "customscript/xyz_grid.py/img2img/Z type/value": "Nothing",
+    "customscript/xyz_grid.py/img2img/Z values/visible": True,
+    "customscript/xyz_grid.py/img2img/Z values/value": "",
+    "customscript/xyz_grid.py/img2img/Draw legend/visible": True,
+    "customscript/xyz_grid.py/img2img/Draw legend/value": True,
+    "customscript/xyz_grid.py/img2img/Include Sub Images/visible": True,
+    "customscript/xyz_grid.py/img2img/Include Sub Images/value": False,
+    "customscript/xyz_grid.py/img2img/Include Sub Grids/visible": True,
+    "customscript/xyz_grid.py/img2img/Include Sub Grids/value": False,
+    "customscript/xyz_grid.py/img2img/Keep -1 for seeds/visible": True,
+    "customscript/xyz_grid.py/img2img/Keep -1 for seeds/value": False,
+    "customscript/postprocessing_upscale.py/extras/Resize/visible": True,
+    "customscript/postprocessing_upscale.py/extras/Resize/value": 4,
+    "customscript/postprocessing_upscale.py/extras/Resize/minimum": 1.0,
+    "customscript/postprocessing_upscale.py/extras/Resize/maximum": 8.0,
+    "customscript/postprocessing_upscale.py/extras/Resize/step": 0.05,
+    "customscript/postprocessing_upscale.py/extras/Width/visible": True,
+    "customscript/postprocessing_upscale.py/extras/Width/value": 512,
+    "customscript/postprocessing_upscale.py/extras/Height/visible": True,
+    "customscript/postprocessing_upscale.py/extras/Height/value": 512,
+    "customscript/postprocessing_upscale.py/extras/Crop to fit/visible": True,
+    "customscript/postprocessing_upscale.py/extras/Crop to fit/value": True,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 1/visible": True,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 1/value": "None",
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2/visible": True,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2/value": "None",
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/visible": True,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/value": 0.0,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/minimum": 0.0,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/maximum": 1.0,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/step": 0.001,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/visible": True,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/value": 0,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/minimum": 0.0,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/maximum": 1.0,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/step": 0.001,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/visible": True,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/value": 0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/minimum": 0.0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/maximum": 1.0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/step": 0.001,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/visible": True,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/value": 0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/minimum": 0.0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/maximum": 1.0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/step": 0.001,
+    "modelmerger/Bake in VAE/visible": True,
+    "modelmerger/Bake in VAE/value": "None",
+    "modelmerger/Discard weights with matching name/visible": True,
+    "modelmerger/Discard weights with matching name/value": "",
+    "train/Auto-sized crop/visible": True,
+    "train/Auto-sized crop/value": False,
+    "train/Dimension lower bound/visible": True,
+    "train/Dimension lower bound/value": 384,
+    "train/Dimension lower bound/minimum": 64,
+    "train/Dimension lower bound/maximum": 2048,
+    "train/Dimension lower bound/step": 8,
+    "train/Dimension upper bound/visible": True,
+    "train/Dimension upper bound/value": 768,
+    "train/Dimension upper bound/minimum": 64,
+    "train/Dimension upper bound/maximum": 2048,
+    "train/Dimension upper bound/step": 8,
+    "train/Area lower bound/visible": True,
+    "train/Area lower bound/value": 4096,
+    "train/Area lower bound/minimum": 4096,
+    "train/Area lower bound/maximum": 4194304,
+    "train/Area lower bound/step": 1,
+    "train/Area upper bound/visible": True,
+    "train/Area upper bound/value": 409600,
+    "train/Area upper bound/minimum": 4096,
+    "train/Area upper bound/maximum": 4194304,
+    "train/Area upper bound/step": 1,
+    "train/Resizing objective/visible": True,
+    "train/Resizing objective/value": "Maximize area",
+    "train/Error threshold/visible": True,
+    "train/Error threshold/value": 0.1,
+    "train/Error threshold/minimum": 0,
+    "train/Error threshold/maximum": 1,
+    "train/Error threshold/step": 0.01
+}
+
+config = {
+    "samples_save": False,
+    "samples_format": "png",
+    "samples_filename_pattern": "",
+    "save_images_add_number": True,
+    "grid_save": False,
+    "grid_format": "png",
+    "grid_extended_filename": False,
+    "grid_only_if_multiple": True,
+    "grid_prevent_empty_spots": False,
+    "n_rows": -1,
+    "enable_pnginfo": True,
+    "save_txt": False,
+    "save_images_before_face_restoration": False,
+    "save_images_before_highres_fix": False,
+    "save_images_before_color_correction": False,
+    "jpeg_quality": 80,
+    "export_for_4chan": True,
+    "use_original_name_batch": False,
+    "use_upscaler_name_as_suffix": False,
+    "save_selected_only": True,
+    "do_not_add_watermark": False,
+    "temp_dir": "",
+    "clean_temp_dir_at_start": False,
+    "outdir_samples": "",
+    "outdir_txt2img_samples": "outputs/txt2img-images",
+    "outdir_img2img_samples": "outputs/img2img-images",
+    "outdir_extras_samples": "outputs/extras-images",
+    "outdir_grids": "",
+    "outdir_txt2img_grids": "outputs/txt2img-grids",
+    "outdir_img2img_grids": "outputs/img2img-grids",
+    "outdir_save": "log/images",
+    "save_to_dirs": False,
+    "grid_save_to_dirs": False,
+    "use_save_to_dirs_for_ui": False,
+    "directories_filename_pattern": "",
+    "directories_max_prompt_words": 8,
+    "ESRGAN_tile": 192,
+    "ESRGAN_tile_overlap": 8,
+    "realesrgan_enabled_models": [
+        "R-ESRGAN 4x+",
+        "R-ESRGAN 4x+ Anime6B"
+    ],
+    "upscaler_for_img2img": None,
+    "face_restoration_model": None,
+    "code_former_weight": 0.5,
+    "face_restoration_unload": False,
+    "memmon_poll_rate": 8,
+    "samples_log_stdout": False,
+    "multiple_tqdm": True,
+    "print_hypernet_extra": False,
+    "unload_models_when_training": False,
+    "pin_memory": False,
+    "save_optimizer_state": False,
+    "save_training_settings_to_txt": True,
+    "dataset_filename_word_regex": "",
+    "dataset_filename_join_string": " ",
+    "training_image_repeats_per_epoch": 1,
+    "training_write_csv_every": 500,
+    "training_xattention_optimizations": False,
+    "training_enable_tensorboard": False,
+    "training_tensorboard_save_images": False,
+    "training_tensorboard_flush_every": 120,
+    "sd_model_checkpoint": default_model,
+    "sd_checkpoint_cache": 0,
+    "sd_vae_checkpoint_cache": 0,
+    "sd_vae": default_vae,
+    "sd_vae_as_default": True,
+    "sd_hypernetwork": "None",
+    "sd_hypernetwork_strength": 1.0,
+    "inpainting_mask_weight": 1.0,
+    "initial_noise_multiplier": 1.0,
+    "img2img_color_correction": False,
+    "img2img_fix_steps": False,
+    "img2img_background_color": "#ffffff",
+    "enable_quantization": False,
+    "enable_emphasis": True,
+    "enable_batch_seeds": True,
+    "comma_padding_backtrack": 20,
+    "CLIP_stop_at_last_layers": 2,
+    "random_artist_categories": [],
+    "use_old_emphasis_implementation": False,
+    "use_old_karras_scheduler_sigmas": False,
+    "use_old_hires_fix_width_height": False,
+    "interrogate_keep_models_in_memory": False,
+    "interrogate_use_builtin_artists": True,
+    "interrogate_return_ranks": False,
+    "interrogate_clip_num_beams": 1,
+    "interrogate_clip_min_length": 24,
+    "interrogate_clip_max_length": 48,
+    "interrogate_clip_dict_limit": 1500,
+    "interrogate_deepbooru_score_threshold": 0.5,
+    "deepbooru_sort_alpha": True,
+    "deepbooru_use_spaces": False,
+    "deepbooru_escape": True,
+    "deepbooru_filter_tags": "",
+    "return_grid": True,
+    "do_not_show_images": False,
+    "add_model_hash_to_info": True,
+    "add_model_name_to_info": True,
+    "disable_weights_auto_swap": False,
+    "send_seed": True,
+    "send_size": True,
+    "font": "",
+    "js_modal_lightbox": True,
+    "js_modal_lightbox_initially_zoomed": True,
+    "show_progress_in_title": True,
+    "samplers_in_dropdown": True,
+    "dimensions_and_batch_together": True,
+    "quicksettings": "sd_model_checkpoint",
+    "ui_reorder": "inpaint, sampler, dimensions, cfg, seed, checkboxes, hires_fix, batch, scripts",
+    "localization": "None",
+    "show_progressbar": True,
+    "live_previews_enable": False,
+    "show_progress_grid": True,
+    "show_progress_every_n_steps": 10,
+    "show_progress_type": "Approx NN",
+    "live_preview_content": "Prompt",
+    "live_preview_refresh_period": 1000,
+    "hide_samplers": [],
+    "eta_ddim": 0.0,
+    "eta_ancestral": 1.0,
+    "ddim_discretize": "uniform",
+    "s_churn": 0.0,
+    "s_tmin": 0.0,
+    "s_noise": 1.0,
+    "eta_noise_seed_delta": 0,
+    "always_discard_next_to_last_sigma": False,
+    "disabled_extensions": [],
+    "sd_checkpoint_hash": "b443ef60bbbaf5dc31974acc4035063716d66bbcc66e96155dbf80aba2106003",
+    "ldsr_steps": 100,
+    "ldsr_cached": False,
+    "SWIN_tile": 192,
+    "SWIN_tile_overlap": 8,
+    "images_history_preload": False,
+    "images_record_paths": True,
+    "images_delete_message": True,
+    "images_history_page_columns": 6.0,
+    "images_history_page_rows": 6.0,
+    "images_history_pages_perload": 20.0,
+    "show_warnings": False,
+    "upcast_attn": False,
+    "interrogate_clip_skip_categories": [],
+    "extra_networks_default_view": "cards",
+    "extra_networks_default_multiplier": 1,
+    "sd_lora": "None",
+    "lora_apply_to_outputs": False,
+    "keyedit_precision_attention": 0.1,
+    "keyedit_precision_extra": 0.05,
+    "ui_extra_networks_tab_reorder": "",
+    "postprocessing_enable_in_main_ui": [],
+    "postprocessing_operation_order": [],
+    "upscaling_max_images_in_cache": 5,
+    "tac_tagFile": "danbooru.csv",
+    "tac_active": True,
+    "tac_activeIn.txt2img": True,
+    "tac_activeIn.img2img": True,
+    "tac_activeIn.negativePrompts": True,
+    "tac_activeIn.thirdParty": True,
+    "tac_maxResults": 5.0,
+    "tac_showAllResults": False,
+    "tac_resultStepLength": 100.0,
+    "tac_delayTime": 100.0,
+    "tac_useWildcards": True,
+    "tac_useEmbeddings": True,
+    "tac_replaceUnderscores": True,
+    "tac_escapeParentheses": True,
+    "tac_appendComma": True,
+    "tac_alias.searchByAlias": True,
+    "tac_alias.onlyShowAlias": False,
+    "tac_translation.translationFile": "None",
+    "tac_translation.oldFormat": False,
+    "tac_translation.searchByTranslation": True,
+    "tac_extra.extraFile": "None",
+    "tac_extra.onlyAliasExtraFile": False,
+    "tac_activeIn.modelList": "",
+    "tac_activeIn.modelListMode": "Blacklist",
+    "tac_useHypernetworks": True,
+    "tac_useLoras": True,
+    "tac_showWikiLinks": False
+}
+
+with open("config.json", "w") as f:
+    json.dump(config, f, indent=4)
+    
+with open("ui-config.json", "w") as f:
+    json.dump(ui_config, f, indent=4)
+    
 os.system("python launch.py --disable-console-progressbars")