Upload 2 files

config.json

@@ -71,7 +71,7 @@
     "training_enable_tensorboard": false,
     "training_tensorboard_save_images": false,
     "training_tensorboard_flush_every": 120,
-    "sd_model_checkpoint": "zx-A-9-half.safetensors",
+    "sd_model_checkpoint": "test3.safetensors",
     "sd_checkpoint_cache": 0,
     "sd_vae_checkpoint_cache": 0,
     "sd_vae": "clearvae.vae.pt",
@@ -306,8 +306,9 @@
         "eta_noise_seed_delta",
         "eta_ddim",
         "eta_ancestral",
-        "ldsr_steps",
-        "always_discard_next_to_last_sigma"
+        "always_discard_next_to_last_sigma",
+        "token_merging_ratio",
+        "ldsr_steps"
     ],
     "extra_options_accordion": false,
     "add_version_to_infotext": true,
@@ -370,5 +371,6 @@
     "enable_empty_prompts": true,
     "enable_repetition_prompts": true,
     "blocked_prompts_txt_file": "/kaggle/working/stable-diffusion-webui/blocked_prompts.txt",
-    "blocked_negative_prompts_txt_file": "/kaggle/working/stable-diffusion-webui/blocked_negative_prompts.txt"
+    "blocked_negative_prompts_txt_file": "/kaggle/working/stable-diffusion-webui/blocked_negative_prompts.txt",
+    "control_net_inpaint_blur_sigma": 7
 }

ui-config.json

@@ -69,29 +69,29 @@
     "txt2img/Upscaler/visible": true,
     "txt2img/Upscaler/value": "Latent",
     "txt2img/Hires steps/visible": true,
-    "txt2img/Hires steps/value": 0,
+    "txt2img/Hires steps/value": 15,
     "txt2img/Hires steps/minimum": 0,
     "txt2img/Hires steps/maximum": 30,
     "txt2img/Hires steps/step": 1,
     "txt2img/Denoising strength/visible": true,
-    "txt2img/Denoising strength/value": 0.7,
+    "txt2img/Denoising strength/value": 0.5,
     "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/value": 1.5,
     "txt2img/Upscale by/minimum": 1.0,
-    "txt2img/Upscale by/maximum": 4.0,
+    "txt2img/Upscale by/maximum": 2.0,
     "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/maximum": 1536,
     "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/maximum": 1536,
     "txt2img/Resize height to/step": 8,
     "txt2img/Script/visible": true,
     "txt2img/Script/value": "None",
@@ -978,7 +978,7 @@
     "customscript/vae_optimize.py/txt2img/Fast Decoder/visible": true,
     "customscript/vae_optimize.py/txt2img/Fast Decoder/value": true,
     "customscript/additional_networks.py/txt2img/Enable/visible": true,
-    "customscript/additional_networks.py/txt2img/Enable/value": true,
+    "customscript/additional_networks.py/txt2img/Enable/value": false,
     "customscript/additional_networks.py/txt2img/Separate UNet/Text Encoder weights/visible": true,
     "customscript/additional_networks.py/txt2img/Separate UNet/Text Encoder weights/value": false,
     "customscript/additional_networks.py/txt2img/Network module 1/visible": true,
@@ -5420,7 +5420,7 @@
     "customscript/extra_options_section.py/txt2img/Eta for ancestral samplers/maximum": 1.0,
     "customscript/extra_options_section.py/txt2img/Eta for ancestral samplers/step": 0.01,
     "customscript/extra_options_section.py/txt2img/Always discard next-to-last sigma/visible": true,
-    "customscript/extra_options_section.py/txt2img/Always discard next-to-last sigma/value": false,
+    "customscript/extra_options_section.py/txt2img/Always discard next-to-last sigma/value": true,
     "customscript/extra_options_section.py/img2img/sigma tmin/visible": true,
     "customscript/extra_options_section.py/img2img/sigma tmin/value": 0.0,
     "customscript/extra_options_section.py/img2img/sigma tmin/minimum": 0.0,
@@ -5432,7 +5432,7 @@
     "customscript/extra_options_section.py/img2img/sigma noise/maximum": 1.0,
     "customscript/extra_options_section.py/img2img/sigma noise/step": 0.01,
     "customscript/extra_options_section.py/img2img/Eta noise seed delta/visible": true,
-    "customscript/extra_options_section.py/img2img/Eta noise seed delta/value": 0,
+    "customscript/extra_options_section.py/img2img/Eta noise seed delta/value": 31337,
     "customscript/extra_options_section.py/img2img/Eta for DDIM/visible": true,
     "customscript/extra_options_section.py/img2img/Eta for DDIM/value": 0.0,
     "customscript/extra_options_section.py/img2img/Eta for DDIM/minimum": 0.0,
@@ -5454,5 +5454,98 @@
     "customscript/extra_options_section.py/img2img/LDSR processing steps. Lower = faster/value": 100,
     "customscript/extra_options_section.py/img2img/LDSR processing steps. Lower = faster/minimum": 1,
     "customscript/extra_options_section.py/img2img/LDSR processing steps. Lower = faster/maximum": 200,
-    "customscript/extra_options_section.py/img2img/LDSR processing steps. Lower = faster/step": 1
+    "customscript/extra_options_section.py/img2img/LDSR processing steps. Lower = faster/step": 1,
+    "txt2img/sigma tmin/visible": true,
+    "txt2img/sigma tmin/value": 0.0,
+    "txt2img/sigma tmin/minimum": 0.0,
+    "txt2img/sigma tmin/maximum": 1.0,
+    "txt2img/sigma tmin/step": 0.01,
+    "txt2img/sigma noise/visible": true,
+    "txt2img/sigma noise/value": 1.0,
+    "txt2img/sigma noise/minimum": 0.0,
+    "txt2img/sigma noise/maximum": 1.0,
+    "txt2img/sigma noise/step": 0.01,
+    "txt2img/Eta noise seed delta/visible": true,
+    "txt2img/Eta noise seed delta/value": 31337,
+    "txt2img/Eta for DDIM/visible": true,
+    "txt2img/Eta for DDIM/value": 0.0,
+    "txt2img/Eta for DDIM/minimum": 0.0,
+    "txt2img/Eta for DDIM/maximum": 1.0,
+    "txt2img/Eta for DDIM/step": 0.01,
+    "txt2img/Eta for ancestral samplers/visible": true,
+    "txt2img/Eta for ancestral samplers/value": 1.0,
+    "txt2img/Eta for ancestral samplers/minimum": 0.0,
+    "txt2img/Eta for ancestral samplers/maximum": 1.0,
+    "txt2img/Eta for ancestral samplers/step": 0.01,
+    "customscript/lora_block_weight.py/txt2img/X Types/visible": true,
+    "customscript/lora_block_weight.py/txt2img/X Types/value": "values",
+    "customscript/lora_block_weight.py/txt2img/X Values/visible": true,
+    "customscript/lora_block_weight.py/txt2img/X Values/value": "0,0.25,0.5,0.75,1",
+    "customscript/lora_block_weight.py/txt2img/Y Types/visible": true,
+    "customscript/lora_block_weight.py/txt2img/Y Types/value": "Block ID",
+    "customscript/lora_block_weight.py/txt2img/Y Values/visible": true,
+    "customscript/lora_block_weight.py/txt2img/Y Values/value": "IN05-OUT05",
+    "customscript/lora_block_weight.py/txt2img/Z type/visible": true,
+    "customscript/lora_block_weight.py/txt2img/Z type/value": "none",
+    "customscript/lora_block_weight.py/txt2img/Z values/visible": true,
+    "customscript/lora_block_weight.py/txt2img/Z values/value": "",
+    "customscript/lora_block_weight.py/txt2img/Blocks (12ALL,17ALL,20ALL,26ALL also can be used)/value": "BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11",
+    "img2img/sigma tmin/visible": true,
+    "img2img/sigma tmin/value": 0.0,
+    "img2img/sigma tmin/minimum": 0.0,
+    "img2img/sigma tmin/maximum": 1.0,
+    "img2img/sigma tmin/step": 0.01,
+    "img2img/sigma noise/visible": true,
+    "img2img/sigma noise/value": 1.0,
+    "img2img/sigma noise/minimum": 0.0,
+    "img2img/sigma noise/maximum": 1.0,
+    "img2img/sigma noise/step": 0.01,
+    "img2img/Eta noise seed delta/visible": true,
+    "img2img/Eta noise seed delta/value": 31337,
+    "img2img/Eta for DDIM/visible": true,
+    "img2img/Eta for DDIM/value": 0.0,
+    "img2img/Eta for DDIM/minimum": 0.0,
+    "img2img/Eta for DDIM/maximum": 1.0,
+    "img2img/Eta for DDIM/step": 0.01,
+    "img2img/Eta for ancestral samplers/visible": true,
+    "img2img/Eta for ancestral samplers/value": 1.0,
+    "img2img/Eta for ancestral samplers/minimum": 0.0,
+    "img2img/Eta for ancestral samplers/maximum": 1.0,
+    "img2img/Eta for ancestral samplers/step": 0.01,
+    "customscript/lora_block_weight.py/img2img/X Types/visible": true,
+    "customscript/lora_block_weight.py/img2img/X Types/value": "values",
+    "customscript/lora_block_weight.py/img2img/X Values/visible": true,
+    "customscript/lora_block_weight.py/img2img/X Values/value": "0,0.25,0.5,0.75,1",
+    "customscript/lora_block_weight.py/img2img/Y Types/visible": true,
+    "customscript/lora_block_weight.py/img2img/Y Types/value": "Block ID",
+    "customscript/lora_block_weight.py/img2img/Y Values/visible": true,
+    "customscript/lora_block_weight.py/img2img/Y Values/value": "IN05-OUT05",
+    "customscript/lora_block_weight.py/img2img/Z type/visible": true,
+    "customscript/lora_block_weight.py/img2img/Z type/value": "none",
+    "customscript/lora_block_weight.py/img2img/Z values/visible": true,
+    "customscript/lora_block_weight.py/img2img/Z values/value": "",
+    "customscript/lora_block_weight.py/img2img/Blocks (12ALL,17ALL,20ALL,26ALL also can be used)/value": "BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11",
+    "customscript/lora_block_weight.py/mov2mov_tabs/X Types/visible": true,
+    "customscript/lora_block_weight.py/mov2mov_tabs/X Types/value": "values",
+    "customscript/lora_block_weight.py/mov2mov_tabs/X Values/visible": true,
+    "customscript/lora_block_weight.py/mov2mov_tabs/X Values/value": "0,0.25,0.5,0.75,1",
+    "customscript/lora_block_weight.py/mov2mov_tabs/Y Types/visible": true,
+    "customscript/lora_block_weight.py/mov2mov_tabs/Y Types/value": "Block ID",
+    "customscript/lora_block_weight.py/mov2mov_tabs/Y Values/visible": true,
+    "customscript/lora_block_weight.py/mov2mov_tabs/Y Values/value": "IN05-OUT05",
+    "customscript/lora_block_weight.py/mov2mov_tabs/Z type/visible": true,
+    "customscript/lora_block_weight.py/mov2mov_tabs/Z type/value": "none",
+    "customscript/lora_block_weight.py/mov2mov_tabs/Z values/visible": true,
+    "customscript/lora_block_weight.py/mov2mov_tabs/Z values/value": "",
+    "customscript/lora_block_weight.py/mov2mov_tabs/Blocks (12ALL,17ALL,20ALL,26ALL also can be used)/value": "BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11",
+    "customscript/extra_options_section.py/txt2img/Token merging ratio/visible": true,
+    "customscript/extra_options_section.py/txt2img/Token merging ratio/value": 0,
+    "customscript/extra_options_section.py/txt2img/Token merging ratio/minimum": 0.0,
+    "customscript/extra_options_section.py/txt2img/Token merging ratio/maximum": 0.9,
+    "customscript/extra_options_section.py/txt2img/Token merging ratio/step": 0.1,
+    "customscript/extra_options_section.py/img2img/Token merging ratio/visible": true,
+    "customscript/extra_options_section.py/img2img/Token merging ratio/value": 0,
+    "customscript/extra_options_section.py/img2img/Token merging ratio/minimum": 0.0,
+    "customscript/extra_options_section.py/img2img/Token merging ratio/maximum": 0.9,
+    "customscript/extra_options_section.py/img2img/Token merging ratio/step": 0.1
 }