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025c21d
1 Parent(s): 9329194

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  1. dc.py +35 -23
  2. env.py +24 -6
dc.py CHANGED
@@ -91,14 +91,27 @@ preprocessor_controlnet = {
91
  "None",
92
  ],
93
  "canny": [
94
- "Canny"
 
95
  ],
96
  "mlsd": [
97
- "MLSD"
 
98
  ],
99
  "ip2p": [
100
  "ip2p"
101
  ],
 
 
 
 
 
 
 
 
 
 
 
102
  }
103
 
104
  task_stablepy = {
@@ -119,16 +132,16 @@ task_stablepy = {
119
  'depth ControlNet': 'depth',
120
  'normalbae ControlNet': 'normalbae',
121
  'lineart ControlNet': 'lineart',
122
- # 'lineart_anime ControlNet': 'lineart_anime',
123
  'shuffle ControlNet': 'shuffle',
124
  'ip2p ControlNet': 'ip2p',
125
  'optical pattern ControlNet': 'pattern',
126
- 'tile realistic': 'sdxl_tile_realistic',
 
127
  }
128
 
129
  task_model_list = list(task_stablepy.keys())
130
 
131
-
132
  def download_things(directory, url, hf_token="", civitai_api_key=""):
133
  url = url.strip()
134
 
@@ -146,7 +159,7 @@ def download_things(directory, url, hf_token="", civitai_api_key=""):
146
  if hf_token:
147
  os.system(f"aria2c --console-log-level=error --summary-interval=10 --header={user_header} -c -x 16 -k 1M -s 16 {url} -d {directory} -o {url.split('/')[-1]}")
148
  else:
149
- os.system (f"aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 {url} -d {directory} -o {url.split('/')[-1]}")
150
  elif "civitai.com" in url:
151
  if "?" in url:
152
  url = url.split("?")[0]
@@ -161,7 +174,7 @@ def download_things(directory, url, hf_token="", civitai_api_key=""):
161
 
162
  def get_model_list(directory_path):
163
  model_list = []
164
- valid_extensions = {'.ckpt' , '.pt', '.pth', '.safetensors', '.bin'}
165
 
166
  for filename in os.listdir(directory_path):
167
  if os.path.splitext(filename)[1] in valid_extensions:
@@ -173,17 +186,6 @@ def get_model_list(directory_path):
173
  return model_list
174
 
175
 
176
- def process_string(input_string):
177
- parts = input_string.split('/')
178
-
179
- if len(parts) == 2:
180
- first_element = parts[1]
181
- complete_string = input_string
182
- result = (first_element, complete_string)
183
- return result
184
- else:
185
- return None
186
-
187
  ## BEGIN MOD
188
  from modutils import (to_list, list_uniq, list_sub, get_model_id_list, get_tupled_embed_list,
189
  get_tupled_model_list, get_lora_model_list, download_private_repo)
@@ -242,9 +244,15 @@ def get_embed_list(pipeline_name):
242
  print('\033[33m🏁 Download and listing of valid models completed.\033[0m')
243
 
244
  upscaler_dict_gui = {
245
- None : None,
246
- "Lanczos" : "Lanczos",
247
- "Nearest" : "Nearest",
 
 
 
 
 
 
248
  "RealESRGAN_x4plus" : "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
249
  "RealESRNet_x4plus" : "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/RealESRNet_x4plus.pth",
250
  "RealESRGAN_x4plus_anime_6B": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
@@ -261,6 +269,8 @@ upscaler_dict_gui = {
261
  "NickelbackFS4x" : "https://huggingface.co/hollowstrawberry/upscalers-backup/resolve/main/ESRGAN/NickelbackFS%204x.pth"
262
  }
263
 
 
 
264
 
265
  def extract_parameters(input_string):
266
  parameters = {}
@@ -459,6 +469,7 @@ class GuiSD:
459
  model_ip2,
460
  mode_ip2,
461
  scale_ip2,
 
462
  progress=gr.Progress(track_tqdm=True),
463
  ):
464
  progress(0, desc="Preparing inference...")
@@ -542,7 +553,7 @@ class GuiSD:
542
  if task == "inpaint" and not image_mask:
543
  raise ValueError("No mask image found: Specify one in 'Image Mask'")
544
 
545
- if upscaler_model_path in [None, "Lanczos", "Nearest"]:
546
  upscaler_model = upscaler_model_path
547
  else:
548
  directory_upscalers = 'upscalers'
@@ -608,6 +619,7 @@ class GuiSD:
608
  "num_steps": steps,
609
  "guidance_scale": cfg,
610
  "clip_skip": clip_skip,
 
611
  "seed": seed,
612
  "image": image_control,
613
  "preprocessor_name": preprocessor_name,
@@ -738,7 +750,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
738
  False, True, 1, True, False, False, False, False, "./images", False, False, False, True, 1, 0.55,
739
  False, False, False, True, False, "Use same sampler", False, "", "", 0.35, True, True, False, 4, 4, 32,
740
  False, "", "", 0.35, True, True, False, 4, 4, 32,
741
- True, None, None, "plus_face", "original", 0.7, None, None, "base", "style", 0.7, progress
742
  )
743
 
744
  progress(1, desc="Inference completed.")
 
91
  "None",
92
  ],
93
  "canny": [
94
+ "Canny",
95
+ "None",
96
  ],
97
  "mlsd": [
98
+ "MLSD",
99
+ "None",
100
  ],
101
  "ip2p": [
102
  "ip2p"
103
  ],
104
+ "recolor": [
105
+ "Recolor luminance",
106
+ "Recolor intensity",
107
+ "None",
108
+ ],
109
+ "tile": [
110
+ "Mild Blur",
111
+ "Moderate Blur",
112
+ "Heavy Blur",
113
+ "None",
114
+ ],
115
  }
116
 
117
  task_stablepy = {
 
132
  'depth ControlNet': 'depth',
133
  'normalbae ControlNet': 'normalbae',
134
  'lineart ControlNet': 'lineart',
135
+ 'lineart_anime ControlNet': 'lineart_anime',
136
  'shuffle ControlNet': 'shuffle',
137
  'ip2p ControlNet': 'ip2p',
138
  'optical pattern ControlNet': 'pattern',
139
+ 'recolor ControlNet': 'recolor',
140
+ 'tile ControlNet': 'tile',
141
  }
142
 
143
  task_model_list = list(task_stablepy.keys())
144
 
 
145
  def download_things(directory, url, hf_token="", civitai_api_key=""):
146
  url = url.strip()
147
 
 
159
  if hf_token:
160
  os.system(f"aria2c --console-log-level=error --summary-interval=10 --header={user_header} -c -x 16 -k 1M -s 16 {url} -d {directory} -o {url.split('/')[-1]}")
161
  else:
162
+ os.system(f"aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 {url} -d {directory} -o {url.split('/')[-1]}")
163
  elif "civitai.com" in url:
164
  if "?" in url:
165
  url = url.split("?")[0]
 
174
 
175
  def get_model_list(directory_path):
176
  model_list = []
177
+ valid_extensions = {'.ckpt', '.pt', '.pth', '.safetensors', '.bin'}
178
 
179
  for filename in os.listdir(directory_path):
180
  if os.path.splitext(filename)[1] in valid_extensions:
 
186
  return model_list
187
 
188
 
 
 
 
 
 
 
 
 
 
 
 
189
  ## BEGIN MOD
190
  from modutils import (to_list, list_uniq, list_sub, get_model_id_list, get_tupled_embed_list,
191
  get_tupled_model_list, get_lora_model_list, download_private_repo)
 
244
  print('\033[33m🏁 Download and listing of valid models completed.\033[0m')
245
 
246
  upscaler_dict_gui = {
247
+ None: None,
248
+ "Lanczos": "Lanczos",
249
+ "Nearest": "Nearest",
250
+ 'Latent': 'Latent',
251
+ 'Latent (antialiased)': 'Latent (antialiased)',
252
+ 'Latent (bicubic)': 'Latent (bicubic)',
253
+ 'Latent (bicubic antialiased)': 'Latent (bicubic antialiased)',
254
+ 'Latent (nearest)': 'Latent (nearest)',
255
+ 'Latent (nearest-exact)': 'Latent (nearest-exact)',
256
  "RealESRGAN_x4plus" : "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
257
  "RealESRNet_x4plus" : "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/RealESRNet_x4plus.pth",
258
  "RealESRGAN_x4plus_anime_6B": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
 
269
  "NickelbackFS4x" : "https://huggingface.co/hollowstrawberry/upscalers-backup/resolve/main/ESRGAN/NickelbackFS%204x.pth"
270
  }
271
 
272
+ upscaler_keys = list(upscaler_dict_gui.keys())
273
+
274
 
275
  def extract_parameters(input_string):
276
  parameters = {}
 
469
  model_ip2,
470
  mode_ip2,
471
  scale_ip2,
472
+ pag_scale,
473
  progress=gr.Progress(track_tqdm=True),
474
  ):
475
  progress(0, desc="Preparing inference...")
 
553
  if task == "inpaint" and not image_mask:
554
  raise ValueError("No mask image found: Specify one in 'Image Mask'")
555
 
556
+ if upscaler_model_path in upscaler_keys[:9]:
557
  upscaler_model = upscaler_model_path
558
  else:
559
  directory_upscalers = 'upscalers'
 
619
  "num_steps": steps,
620
  "guidance_scale": cfg,
621
  "clip_skip": clip_skip,
622
+ "pag_scale": float(pag_scale),
623
  "seed": seed,
624
  "image": image_control,
625
  "preprocessor_name": preprocessor_name,
 
750
  False, True, 1, True, False, False, False, False, "./images", False, False, False, True, 1, 0.55,
751
  False, False, False, True, False, "Use same sampler", False, "", "", 0.35, True, True, False, 4, 4, 32,
752
  False, "", "", 0.35, True, True, False, 4, 4, 32,
753
+ True, None, None, "plus_face", "original", 0.7, None, None, "base", "style", 0.7, 0.0, progress
754
  )
755
 
756
  progress(1, desc="Inference completed.")
env.py CHANGED
@@ -40,18 +40,31 @@ load_diffusers_format_model = [
40
  'votepurchase/ponyRealism_v21MainVAE',
41
  'stabilityai/stable-diffusion-xl-base-1.0',
42
  'cagliostrolab/animagine-xl-3.1',
 
43
  'misri/epicrealismXL_v7FinalDestination',
44
  'misri/juggernautXL_juggernautX',
45
  'misri/zavychromaxl_v80',
46
  'SG161222/RealVisXL_V4.0',
 
47
  'misri/newrealityxlAllInOne_Newreality40',
48
  'eienmojiki/Anything-XL',
49
  'eienmojiki/Starry-XL-v5.2',
50
  'gsdf/CounterfeitXL',
51
  'kitty7779/ponyDiffusionV6XL',
52
- 'yodayo-ai/clandestine-xl-1.0',
 
 
 
 
 
 
 
 
 
53
  'yodayo-ai/kivotos-xl-2.0',
54
  'yodayo-ai/holodayo-xl-2.1',
 
 
55
  'digiplay/majicMIX_sombre_v2',
56
  'digiplay/majicMIX_realistic_v6',
57
  'digiplay/majicMIX_realistic_v7',
@@ -60,18 +73,23 @@ load_diffusers_format_model = [
60
  'digiplay/DarkSushi2.5D_v1',
61
  'digiplay/darkphoenix3D_v1.1',
62
  'digiplay/BeenYouLiteL11_diffusers',
63
- 'rubbrband/revAnimated_v2Rebirth',
64
  'youknownothing/cyberrealistic_v50',
65
- 'votepurchase/counterfeitV30_v30',
 
 
 
 
66
  'Meina/MeinaMix_V11',
67
  'Meina/MeinaUnreal_V5',
68
  'Meina/MeinaPastel_V7',
69
- 'rubbrband/realcartoon3d_v16',
70
- 'rubbrband/realcartoonRealistic_v14',
 
71
  'KBlueLeaf/Kohaku-XL-Epsilon-rev2',
72
  'KBlueLeaf/Kohaku-XL-Epsilon-rev3',
73
  'KBlueLeaf/Kohaku-XL-Zeta',
74
- 'kayfahaarukku/UrangDiffusion-1.3',
75
  'Eugeoter/artiwaifu-diffusion-2.0',
76
  'Raelina/Rae-Diffusion-XL-V2',
77
  'Raelina/Raemu-XL-V4',
 
40
  'votepurchase/ponyRealism_v21MainVAE',
41
  'stabilityai/stable-diffusion-xl-base-1.0',
42
  'cagliostrolab/animagine-xl-3.1',
43
+ 'John6666/epicrealism-xl-v8kiss-sdxl',
44
  'misri/epicrealismXL_v7FinalDestination',
45
  'misri/juggernautXL_juggernautX',
46
  'misri/zavychromaxl_v80',
47
  'SG161222/RealVisXL_V4.0',
48
+ 'SG161222/RealVisXL_V5.0',
49
  'misri/newrealityxlAllInOne_Newreality40',
50
  'eienmojiki/Anything-XL',
51
  'eienmojiki/Starry-XL-v5.2',
52
  'gsdf/CounterfeitXL',
53
  'kitty7779/ponyDiffusionV6XL',
54
+ 'WhiteAiZ/autismmixSDXL_autismmixConfetti_diffusers',
55
+ 'GraydientPlatformAPI/aniverse-pony',
56
+ 'John6666/mistoon-anime-ponyalpha-sdxl',
57
+ 'John6666/ebara-mfcg-pony-mix-v12-sdxl',
58
+ 'John6666/t-ponynai3-v51-sdxl',
59
+ 'John6666/mala-anime-mix-nsfw-pony-xl-v5-sdxl',
60
+ 'John6666/wai-real-mix-v11-sdxl',
61
+ 'John6666/cyberrealistic-pony-v63-sdxl',
62
+ 'GraydientPlatformAPI/realcartoon-pony-diffusion',
63
+ 'John6666/nova-anime-xl-pony-v5-sdxl',
64
  'yodayo-ai/kivotos-xl-2.0',
65
  'yodayo-ai/holodayo-xl-2.1',
66
+ 'yodayo-ai/clandestine-xl-1.0',
67
+ 'John6666/silvermoon-mix-01xl-v11-sdxl',
68
  'digiplay/majicMIX_sombre_v2',
69
  'digiplay/majicMIX_realistic_v6',
70
  'digiplay/majicMIX_realistic_v7',
 
73
  'digiplay/DarkSushi2.5D_v1',
74
  'digiplay/darkphoenix3D_v1.1',
75
  'digiplay/BeenYouLiteL11_diffusers',
76
+ 'Yntec/RevAnimatedV2Rebirth',
77
  'youknownothing/cyberrealistic_v50',
78
+ 'youknownothing/deliberate-v6',
79
+ 'GraydientPlatformAPI/deliberate-cyber3',
80
+ 'GraydientPlatformAPI/picx-real',
81
+ 'GraydientPlatformAPI/perfectworld6',
82
+ 'emilianJR/epiCRealism',
83
  'Meina/MeinaMix_V11',
84
  'Meina/MeinaUnreal_V5',
85
  'Meina/MeinaPastel_V7',
86
+ 'GraydientPlatformAPI/realcartoon3d-17',
87
+ 'GraydientPlatformAPI/realcartoon-pixar11',
88
+ 'GraydientPlatformAPI/realcartoon-real17',
89
  'KBlueLeaf/Kohaku-XL-Epsilon-rev2',
90
  'KBlueLeaf/Kohaku-XL-Epsilon-rev3',
91
  'KBlueLeaf/Kohaku-XL-Zeta',
92
+ 'kayfahaarukku/UrangDiffusion-1.4',
93
  'Eugeoter/artiwaifu-diffusion-2.0',
94
  'Raelina/Rae-Diffusion-XL-V2',
95
  'Raelina/Raemu-XL-V4',