Beavis and Butt-Head Style

#73
Files changed (6) hide show
  1. README.md +2 -79
  2. app.py +48 -70
  3. custom.css +4 -9
  4. requirements.txt +2 -3
  5. sdxl_loras.json +16 -431
  6. share_btn.py +3 -6
README.md CHANGED
@@ -4,87 +4,10 @@ emoji: 🔎 🖼️
4
  colorFrom: indigo
5
  colorTo: blue
6
  sdk: gradio
7
- sdk_version: 4.37.2
8
  app_file: app.py
9
  pinned: false
10
  license: mit
11
- suggested_hardware: a10g-large
12
- models:
13
- - nerijs/pixel-art-xl
14
- - Pclanglais/TintinIA
15
- - ProomptEngineer/pe-balloon-diffusion-style
16
- - joachimsallstrom/aether-cloud-lora-for-sdxl
17
- - ostris/crayon_style_lora_sdxl
18
- - jbilcke-hf/sdxl-zelda64
19
- - TheLastBen/Papercut_SDXL
20
- - fofr/sdxl-2004
21
- - joachimsallstrom/aether-ghost-lora-for-sdxl
22
- - artificialguybr/ColoringBookRedmond-V2
23
- - Norod78/SDXL-LofiGirl-Lora
24
- - ostris/embroidery_style_lora_sdxl
25
- - goofyai/3d_render_style_xl
26
- - ostris/watercolor_style_lora_sdxl
27
- - veryVANYA/ps1-graphics-sdxl-v2
28
- - TheLastBen/William_Eggleston_Style_SDXL
29
- - davizca87/c-a-g-coinmaker
30
- - goofyai/cyborg_style_xl
31
- - artificialguybr/ToyRedmond-ToyLoraForSDXL10
32
- - Fictiverse/Voxel_XL_Lora
33
- - minimaxir/sdxl-ugly-sonic-lora
34
- - nerijs/lego-brickheadz-xl
35
- - nerijs/lego-minifig-xl
36
- - Norod78/SDXL-jojoso_style-Lora
37
- - TheLastBen/Pikachu_SDXL
38
- - artificialguybr/LogoRedmond-LogoLoraForSDXL
39
- - Norod78/SDXL-StickerSheet-Lora
40
- - artificialguybr/LineAniRedmond-LinearMangaSDXL
41
- - TheLastBen/Josef_Koudelka_Style_SDXL
42
- - goofyai/Leonardo_Ai_Style_Illustration
43
- - Norod78/SDXL-simpstyle-Lora
44
- - artificialguybr/StoryBookRedmond
45
- - chillpixel/blacklight-makeup-sdxl-lora
46
- - ProomptEngineer/pe-neon-sign-style
47
- - ProomptEngineer/pe-lofi-hiphop-lofi-girl-concept
48
- - ProomptEngineer/pe-shitty-fanart
49
- - ProomptEngineer/pe-sandsculpter-style
50
- - ProomptEngineer/pe-shitty-medieval-paintings
51
- - ProomptEngineer/pe-courtroomsketch-style
52
- - ProomptEngineer/pe-funko-pop-diffusion-style
53
- - lordjia/lelo-lego-lora
54
- - KappaNeuro/dressed-animals
55
- - KappaNeuro/vintage-postage-stamps
56
- - KappaNeuro/video-installation
57
- - KappaNeuro/ukiyo-e-art
58
- - KappaNeuro/surreal-collage
59
- - KappaNeuro/stop-motion-animation
60
- - KappaNeuro/studio-ghibli-style
61
- - KappaNeuro/punk-collage
62
- - KappaNeuro/needlepoint
63
- - KappaNeuro/made-of-iridescent-foil
64
- - KappaNeuro/lascaux
65
- - KappaNeuro/color-palette
66
- - KappaNeuro/albumen-print
67
- - KappaNeuro/1987-action-figure-playset-packaging
68
- - Norod78/SDXL-VintageMagStyle-Lora
69
- - CiroN2022/road-sign
70
- - CiroN2022/mosaic-style
71
- - CiroN2022/cd-md-music
72
- - CiroN2022/hair-style
73
- - CiroN2022/overprint-effect
74
- - CiroN2022/toy-face
75
- - CiroN2022/ascii-art
76
- - artificialguybr/PixelArtRedmond
77
- - artificialguybr/StickersRedmond
78
- - artificialguybr/ClayAnimationRedmond
79
- - fofr/sdxl-vision-pro
80
- - joachimsallstrom/aether-glitch-lora-for-sdxl
81
- - artificialguybr/TshirtDesignRedmond-V2
82
- - ostris/ikea-instructions-lora-sdxl
83
- - ostris/super-cereal-sdxl-lora
84
- - jakedahn/sdxl-isometric-geology
85
- - artificialguybr/analogredmond-v2
86
- - stets/nintendo64_cartridge
87
- short_description: Explore fun LoRAs and generate wi
88
  ---
89
 
90
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
4
  colorFrom: indigo
5
  colorTo: blue
6
  sdk: gradio
7
+ sdk_version: 3.39.0
8
  app_file: app.py
9
  pinned: false
10
  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py CHANGED
@@ -10,7 +10,6 @@ import copy
10
  import json
11
  import gc
12
  import random
13
- from urllib.parse import quote
14
  with open("sdxl_loras.json", "r") as file:
15
  data = json.load(file)
16
  sdxl_loras_raw = [
@@ -25,8 +24,7 @@ with open("sdxl_loras.json", "r") as file:
25
  "text_embedding_weights": item.get("text_embedding_weights", None),
26
  "likes": item.get("likes", 0),
27
  "downloads": item.get("downloads", 0),
28
- "is_nc": item.get("is_nc", False),
29
- "new": item.get("new", False),
30
  }
31
  for item in data
32
  ]
@@ -48,12 +46,6 @@ for item in sdxl_loras_raw:
48
  "state_dict": state_dict
49
  }
50
 
51
- sdxl_loras_raw_new = [item for item in sdxl_loras_raw if item.get("new") == True]
52
-
53
- sdxl_loras_raw = [item for item in sdxl_loras_raw if item.get("new") != True]
54
-
55
- lcm_lora_id = "lcm-sd/lcm-sdxl-base-1.0-lora"
56
-
57
  vae = AutoencoderKL.from_pretrained(
58
  "madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16
59
  )
@@ -68,14 +60,7 @@ pipe.to(device)
68
  last_lora = ""
69
  last_merged = False
70
  last_fused = False
71
- js = '''
72
- var button = document.getElementById('button');
73
- // Add a click event listener to the button
74
- button.addEventListener('click', function() {
75
- element.classList.add('selected');
76
- });
77
- '''
78
- def update_selection(selected_state: gr.SelectData, sdxl_loras, is_new=False):
79
  lora_repo = sdxl_loras[selected_state.index]["repo"]
80
  instance_prompt = sdxl_loras[selected_state.index]["trigger_word"]
81
  new_placeholder = "Type a prompt. This LoRA applies for all prompts, no need for a trigger word" if instance_prompt == "" else "Type a prompt to use your selected LoRA"
@@ -118,12 +103,6 @@ def update_selection(selected_state: gr.SelectData, sdxl_loras, is_new=False):
118
  - [SD.Next guide](https://github.com/vladmandic/automatic)
119
  - [AUTOMATIC1111 guide](https://stable-diffusion-art.com/lora/)
120
  '''
121
- if(is_new):
122
- if(selected_state.index == 0):
123
- selected_state.index = -9999
124
- else:
125
- selected_state.index *= -1
126
-
127
  return (
128
  updated_text,
129
  instance_prompt,
@@ -131,7 +110,6 @@ def update_selection(selected_state: gr.SelectData, sdxl_loras, is_new=False):
131
  selected_state,
132
  use_with_diffusers,
133
  use_with_uis,
134
- gr.Gallery(selected_index=None)
135
  )
136
 
137
 
@@ -162,17 +140,9 @@ def merge_incompatible_lora(full_path_lora, lora_scale):
162
  del lora_model
163
  gc.collect()
164
 
165
- def run_lora(prompt, negative, lora_scale, selected_state, sdxl_loras, sdxl_loras_new, progress=gr.Progress(track_tqdm=True)):
166
  global last_lora, last_merged, last_fused, pipe
167
- print("Index when running ", selected_state.index)
168
- if(selected_state.index < 0):
169
- if(selected_state.index == -9999):
170
- selected_state.index = 0
171
- else:
172
- selected_state.index *= -1
173
- sdxl_loras = sdxl_loras_new
174
- print("Selected State: ", selected_state.index)
175
- print(sdxl_loras[selected_state.index]["repo"])
176
  if negative == "":
177
  negative = None
178
 
@@ -182,23 +152,42 @@ def run_lora(prompt, negative, lora_scale, selected_state, sdxl_loras, sdxl_lora
182
  weight_name = sdxl_loras[selected_state.index]["weights"]
183
 
184
  full_path_lora = state_dicts[repo_name]["saved_name"]
185
- loaded_state_dict = copy.deepcopy(state_dicts[repo_name]["state_dict"])
186
  cross_attention_kwargs = None
187
  if last_lora != repo_name:
188
- if(last_fused):
 
 
 
 
 
189
  pipe.unfuse_lora()
190
- pipe.load_lora_weights(loaded_state_dict)
191
- pipe.fuse_lora()
192
- last_fused = True
193
- is_pivotal = sdxl_loras[selected_state.index]["is_pivotal"]
194
- if(is_pivotal):
195
- #Add the textual inversion embeddings from pivotal tuning models
196
- text_embedding_name = sdxl_loras[selected_state.index]["text_embedding_weights"]
197
- text_encoders = [pipe.text_encoder, pipe.text_encoder_2]
198
- tokenizers = [pipe.tokenizer, pipe.tokenizer_2]
199
- embedding_path = hf_hub_download(repo_id=repo_name, filename=text_embedding_name, repo_type="model")
200
- embhandler = TokenEmbeddingsHandler(text_encoders, tokenizers)
201
- embhandler.load_embeddings(embedding_path)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
202
 
203
  image = pipe(
204
  prompt=prompt,
@@ -223,22 +212,17 @@ def swap_gallery(order, sdxl_loras):
223
  sorted_gallery = sorted(sdxl_loras, key=lambda x: x.get(order, 0), reverse=True)
224
  return [(item["image"], item["title"]) for item in sorted_gallery], sorted_gallery
225
 
226
- def deselect():
227
- return gr.Gallery(selected_index=None)
228
 
229
  with gr.Blocks(css="custom.css") as demo:
230
  gr_sdxl_loras = gr.State(value=sdxl_loras_raw)
231
- gr_sdxl_loras_new = gr.State(value=sdxl_loras_raw_new)
232
  title = gr.HTML(
233
- """<h1><img src="https://i.imgur.com/vT48NAO.png" alt="LoRA"> LoRA the Explorer</h1><p><a href="https://huggingface.co/spaces/multimodalart/flux-lora-the-explorer">Try the Flux LoRAs here</a></p>""",
234
  elem_id="title",
235
  )
236
  selected_state = gr.State()
237
- with gr.Row(elem_id="main_app"):
238
- with gr.Group(elem_id="gallery_box"):
239
- selected_loras = gr.Gallery(label="Selected LoRAs", height=80, show_share_button=False, visible=False, elem_id="gallery_selected", )
240
  order_gallery = gr.Radio(choices=["random", "likes"], value="random", label="Order by", elem_id="order_radio")
241
- new_gallery = gr.Gallery(label="New LoRAs", elem_id="gallery_new", columns=3, value=[(item["image"], item["title"]) for item in sdxl_loras_raw_new], allow_preview=False, show_share_button=False)
242
  gallery = gr.Gallery(
243
  #value=[(item["image"], item["title"]) for item in sdxl_loras],
244
  label="SDXL LoRA Gallery",
@@ -267,6 +251,7 @@ with gr.Blocks(css="custom.css") as demo:
267
  with gr.Accordion("Advanced options", open=False):
268
  negative = gr.Textbox(label="Negative Prompt")
269
  weight = gr.Slider(0, 10, value=0.8, step=0.1, label="LoRA weight")
 
270
  with gr.Column(elem_id="extra_info"):
271
  with gr.Accordion(
272
  "Use it with: 🧨 diffusers, ComfyUI, Invoke AI, SD.Next, AUTO1111",
@@ -280,7 +265,7 @@ with gr.Blocks(css="custom.css") as demo:
280
  submit_title = gr.Markdown(
281
  "### Streamlined submission coming soon! Until then [suggest your LoRA in the community tab](https://huggingface.co/spaces/multimodalart/LoraTheExplorer/discussions) 🤗"
282
  )
283
- with gr.Group(elem_id="soon"):
284
  submit_source = gr.Radio(
285
  ["Hugging Face", "CivitAI"],
286
  label="LoRA source",
@@ -313,14 +298,7 @@ with gr.Blocks(css="custom.css") as demo:
313
  gallery.select(
314
  fn=update_selection,
315
  inputs=[gr_sdxl_loras],
316
- outputs=[prompt_title, prompt, prompt, selected_state, use_diffusers, use_uis, new_gallery],
317
- queue=False,
318
- show_progress=False
319
- )
320
- new_gallery.select(
321
- fn=update_selection,
322
- inputs=[gr_sdxl_loras_new, gr.State(True)],
323
- outputs=[prompt_title, prompt, prompt, selected_state, use_diffusers, use_uis, gallery],
324
  queue=False,
325
  show_progress=False
326
  )
@@ -331,7 +309,7 @@ with gr.Blocks(css="custom.css") as demo:
331
  show_progress=False
332
  ).success(
333
  fn=run_lora,
334
- inputs=[prompt, negative, weight, selected_state, gr_sdxl_loras, gr_sdxl_loras_new],
335
  outputs=[result, share_group],
336
  )
337
  button.click(
@@ -341,10 +319,10 @@ with gr.Blocks(css="custom.css") as demo:
341
  show_progress=False
342
  ).success(
343
  fn=run_lora,
344
- inputs=[prompt, negative, weight, selected_state, gr_sdxl_loras, gr_sdxl_loras_new],
345
  outputs=[result, share_group],
346
  )
347
- share_button.click(None, [], [], js=share_js)
348
- demo.load(fn=shuffle_gallery, inputs=[gr_sdxl_loras], outputs=[gallery, gr_sdxl_loras], queue=False, js=js)
349
  demo.queue(max_size=20)
350
- demo.launch(share=True)
 
10
  import json
11
  import gc
12
  import random
 
13
  with open("sdxl_loras.json", "r") as file:
14
  data = json.load(file)
15
  sdxl_loras_raw = [
 
24
  "text_embedding_weights": item.get("text_embedding_weights", None),
25
  "likes": item.get("likes", 0),
26
  "downloads": item.get("downloads", 0),
27
+ "is_nc": item.get("is_nc", False)
 
28
  }
29
  for item in data
30
  ]
 
46
  "state_dict": state_dict
47
  }
48
 
 
 
 
 
 
 
49
  vae = AutoencoderKL.from_pretrained(
50
  "madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16
51
  )
 
60
  last_lora = ""
61
  last_merged = False
62
  last_fused = False
63
+ def update_selection(selected_state: gr.SelectData, sdxl_loras):
 
 
 
 
 
 
 
64
  lora_repo = sdxl_loras[selected_state.index]["repo"]
65
  instance_prompt = sdxl_loras[selected_state.index]["trigger_word"]
66
  new_placeholder = "Type a prompt. This LoRA applies for all prompts, no need for a trigger word" if instance_prompt == "" else "Type a prompt to use your selected LoRA"
 
103
  - [SD.Next guide](https://github.com/vladmandic/automatic)
104
  - [AUTOMATIC1111 guide](https://stable-diffusion-art.com/lora/)
105
  '''
 
 
 
 
 
 
106
  return (
107
  updated_text,
108
  instance_prompt,
 
110
  selected_state,
111
  use_with_diffusers,
112
  use_with_uis,
 
113
  )
114
 
115
 
 
140
  del lora_model
141
  gc.collect()
142
 
143
+ def run_lora(prompt, negative, lora_scale, selected_state, sdxl_loras, progress=gr.Progress(track_tqdm=True)):
144
  global last_lora, last_merged, last_fused, pipe
145
+
 
 
 
 
 
 
 
 
146
  if negative == "":
147
  negative = None
148
 
 
152
  weight_name = sdxl_loras[selected_state.index]["weights"]
153
 
154
  full_path_lora = state_dicts[repo_name]["saved_name"]
155
+ loaded_state_dict = state_dicts[repo_name]["state_dict"]
156
  cross_attention_kwargs = None
157
  if last_lora != repo_name:
158
+ if last_merged:
159
+ del pipe
160
+ gc.collect()
161
+ pipe = copy.deepcopy(original_pipe)
162
+ pipe.to(device)
163
+ elif(last_fused):
164
  pipe.unfuse_lora()
165
+ pipe.unload_lora_weights()
166
+ is_compatible = sdxl_loras[selected_state.index]["is_compatible"]
167
+
168
+ if is_compatible:
169
+ pipe.load_lora_weights(loaded_state_dict)
170
+ pipe.fuse_lora(lora_scale)
171
+ last_fused = True
172
+ else:
173
+ is_pivotal = sdxl_loras[selected_state.index]["is_pivotal"]
174
+ if(is_pivotal):
175
+ pipe.load_lora_weights(loaded_state_dict)
176
+ pipe.fuse_lora(lora_scale)
177
+ last_fused = True
178
+
179
+ #Add the textual inversion embeddings from pivotal tuning models
180
+ text_embedding_name = sdxl_loras[selected_state.index]["text_embedding_weights"]
181
+ text_encoders = [pipe.text_encoder, pipe.text_encoder_2]
182
+ tokenizers = [pipe.tokenizer, pipe.tokenizer_2]
183
+ embedding_path = hf_hub_download(repo_id=repo_name, filename=text_embedding_name, repo_type="model")
184
+ embhandler = TokenEmbeddingsHandler(text_encoders, tokenizers)
185
+ embhandler.load_embeddings(embedding_path)
186
+
187
+ else:
188
+ merge_incompatible_lora(full_path_lora, lora_scale)
189
+ last_fused=False
190
+ last_merged = True
191
 
192
  image = pipe(
193
  prompt=prompt,
 
212
  sorted_gallery = sorted(sdxl_loras, key=lambda x: x.get(order, 0), reverse=True)
213
  return [(item["image"], item["title"]) for item in sorted_gallery], sorted_gallery
214
 
 
 
215
 
216
  with gr.Blocks(css="custom.css") as demo:
217
  gr_sdxl_loras = gr.State(value=sdxl_loras_raw)
 
218
  title = gr.HTML(
219
+ """<h1><img src="https://i.imgur.com/vT48NAO.png" alt="LoRA"> LoRA the Explorer</h1>""",
220
  elem_id="title",
221
  )
222
  selected_state = gr.State()
223
+ with gr.Row():
224
+ with gr.Box(elem_id="gallery_box"):
 
225
  order_gallery = gr.Radio(choices=["random", "likes"], value="random", label="Order by", elem_id="order_radio")
 
226
  gallery = gr.Gallery(
227
  #value=[(item["image"], item["title"]) for item in sdxl_loras],
228
  label="SDXL LoRA Gallery",
 
251
  with gr.Accordion("Advanced options", open=False):
252
  negative = gr.Textbox(label="Negative Prompt")
253
  weight = gr.Slider(0, 10, value=0.8, step=0.1, label="LoRA weight")
254
+
255
  with gr.Column(elem_id="extra_info"):
256
  with gr.Accordion(
257
  "Use it with: 🧨 diffusers, ComfyUI, Invoke AI, SD.Next, AUTO1111",
 
265
  submit_title = gr.Markdown(
266
  "### Streamlined submission coming soon! Until then [suggest your LoRA in the community tab](https://huggingface.co/spaces/multimodalart/LoraTheExplorer/discussions) 🤗"
267
  )
268
+ with gr.Box(elem_id="soon"):
269
  submit_source = gr.Radio(
270
  ["Hugging Face", "CivitAI"],
271
  label="LoRA source",
 
298
  gallery.select(
299
  fn=update_selection,
300
  inputs=[gr_sdxl_loras],
301
+ outputs=[prompt_title, prompt, prompt, selected_state, use_diffusers, use_uis],
 
 
 
 
 
 
 
302
  queue=False,
303
  show_progress=False
304
  )
 
309
  show_progress=False
310
  ).success(
311
  fn=run_lora,
312
+ inputs=[prompt, negative, weight, selected_state, gr_sdxl_loras],
313
  outputs=[result, share_group],
314
  )
315
  button.click(
 
319
  show_progress=False
320
  ).success(
321
  fn=run_lora,
322
+ inputs=[prompt, negative, weight, selected_state, gr_sdxl_loras],
323
  outputs=[result, share_group],
324
  )
325
+ share_button.click(None, [], [], _js=share_js)
326
+ demo.load(fn=shuffle_gallery, inputs=[gr_sdxl_loras], outputs=[gallery, gr_sdxl_loras], queue=False)
327
  demo.queue(max_size=20)
328
+ demo.launch()
custom.css CHANGED
@@ -3,7 +3,7 @@
3
  #title img{width: 100px; margin-right: 0.5em}
4
  #prompt input{width: calc(100% - 160px);border-top-right-radius: 0px;border-bottom-right-radius: 0px;}
5
  #run_button{position:absolute;margin-top: 11px;right: 0;margin-right: 0.8em;border-bottom-left-radius: 0px;border-top-left-radius: 0px;}
6
- #gallery{display:flex; border-top-left-radius: 0; border-top-right-radius: 0; border-top-color: transparent}
7
  #gallery .grid-wrap{min-height: 100%;}
8
  #accordion code{word-break: break-all;word-wrap: break-word;white-space: pre-wrap}
9
  #soon{opacity: 0.55; pointer-events: none}
@@ -20,17 +20,12 @@ div#share-btn-container > div {flex-direction: row;background: black;align-items
20
  .pending .min {min-height: auto}
21
  #gallery_box{padding-top: 0}
22
  #gallery_box .form{border: 0 !important}
23
- #order_radio{border: 0;padding: 0.5em;}
24
  #order_radio .form{border:0 !important; padding-bottom: 0.25em}
25
- #order_radio [data-testid="block-info"]{float: left;margin-top: 2px;margin-right: 6px; margin-bottom: 0}
26
  #order_radio label{padding: 0.25em 0.75em !important;font-size: 85% !important}
27
- #gallery_new{border-bottom-left-radius: 0; border-bottom-right-radius:0; border-bottom-color: transparent; height: 160px}
28
- @media(max-width: 1280px){
29
- #gallery_new{height: 210px}
30
- }
31
- @media (max-width: 700px) {
32
  #title h1{font-size: 2.2em}
33
  #title img{width: 80px;}
34
  #gallery {max-height: 370px}
35
- #main_app{flex-direction: column}
36
  }
 
3
  #title img{width: 100px; margin-right: 0.5em}
4
  #prompt input{width: calc(100% - 160px);border-top-right-radius: 0px;border-bottom-right-radius: 0px;}
5
  #run_button{position:absolute;margin-top: 11px;right: 0;margin-right: 0.8em;border-bottom-left-radius: 0px;border-top-left-radius: 0px;}
6
+ #gallery{display:flex;}
7
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8
  #accordion code{word-break: break-all;word-wrap: break-word;white-space: pre-wrap}
9
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20
  .pending .min {min-height: auto}
21
  #gallery_box{padding-top: 0}
22
  #gallery_box .form{border: 0 !important}
23
+ #order_radio{border: 0;padding-left: 0}
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26
  #order_radio label{padding: 0.25em 0.75em !important;font-size: 85% !important}
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28
  #title h1{font-size: 2.2em}
29
  #title img{width: 80px;}
30
  #gallery {max-height: 370px}
 
31
  }
requirements.txt CHANGED
@@ -1,6 +1,5 @@
1
- --extra-index-url https://download.pytorch.org/whl/cu118
2
- torch
3
- git+https://github.com/huggingface/diffusers.git@edea577
4
  transformers
5
  safetensors
6
  accelerate
 
1
+ git+https://github.com/huggingface/diffusers.git
2
+ https://gradio-builds.s3.amazonaws.com/4e55341d923bdbaf77f2f3484b11034d8f9b167f/gradio-3.44.0-py3-none-any.whl
 
3
  transformers
4
  safetensors
5
  accelerate
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