omit some models

app.py

@@ -36,17 +36,15 @@ class Model:
         self.pipe_i2i = None
 
 models = [
-     Model("Custom model", "", ""),
-    #  Model("Stable-Diffusion-v1.5", "../stable-diffusion-v1-5", "The 1.5 version of official stable-diffusion"),
      Model("Stable-Diffusion-v1.4", "CompVis/stable-diffusion-v1-4", "The 1.4 version of official stable-diffusion"),
     #  Model("Stable-Diffusion-v1.5", "runwayml/stable-diffusion-v1-5", "The 1.5 version of official stable-diffusion"),
     #  Model("Arcane", "nitrosocke/Arcane-Diffusion", "arcane style "),
     #  Model("Archer", "nitrosocke/archer-diffusion", "archer style "),
-     Model("Elden Ring", "nitrosocke/elden-ring-diffusion", "elden ring style "),
+    #  Model("Elden Ring", "nitrosocke/elden-ring-diffusion", "elden ring style "),
     #  Model("Spider-Verse", "nitrosocke/spider-verse-diffusion", "spiderverse style "),
     #  Model("Modern Disney", "nitrosocke/mo-di-diffusion", "modern disney style "),
     #  Model("Classic Disney", "nitrosocke/classic-anim-diffusion", "classic disney style "),
-     Model("Waifu", "hakurei/waifu-diffusion", ""),
+    #  Model("Waifu", "hakurei/waifu-diffusion", ""),
     #  Model("Pokémon", "lambdalabs/sd-pokemon-diffusers", ""),
     #  Model("Pony Diffusion", "AstraliteHeart/pony-diffusion", ""),
     #  Model("Robo Diffusion", "nousr/robo-diffusion", ""),
@@ -55,7 +53,7 @@ models = [
 ]
 
 last_mode = "txt2img"
-current_model = models[1]
+current_model = models[0]
 current_model_path = current_model.path
 
 auth_token = os.getenv("HUGGING_FACE_HUB_TOKEN")
@@ -65,25 +63,20 @@ if is_colab:
 
 else: # download all models
   vae = AutoencoderKL.from_pretrained(current_model.path, subfolder="vae", torch_dtype=torch.float16, use_auth_token=auth_token)
-  for model in models[1:]:
+  for model in models:
     try:
         unet = UNet2DConditionModel.from_pretrained(model.path, subfolder="unet", torch_dtype=torch.float16, use_auth_token=auth_token)
         model.pipe_t2i = StableDiffusionPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16, scheduler=scheduler, use_auth_token=auth_token)
         model.pipe_i2i = StableDiffusionImg2ImgPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16, scheduler=scheduler, use_auth_token=auth_token)
     except:
         models.remove(model)
-  pipe = models[1].pipe_t2i
+  pipe = models[0].pipe_t2i
   
 if torch.cuda.is_available():
   pipe = pipe.to("cuda")
 
 device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶"
 
-def custom_model_changed(path):
-  models[0].path = path
-  global current_model
-  current_model = models[0]
-
 def inference(model_name, prompt, guidance, steps, width=512, height=512, seed=0, img=None, strength=0.5, neg_prompt=""):
 
   global current_model
@@ -221,7 +214,7 @@ with gr.Blocks(css=css) as demo:
               <br>
               <p>
                Demo for sampling by DPM-Solver with several fine-tuned Stable Diffusion models, trained on different styles: <br>
-               <a href="https://huggingface.co/CompVis/stable-diffusion-v1-4">Stable-Diffusion-v1.4</a>, <a href="https://huggingface.co/runwayml/stable-diffusion-v1-5">Stable-Diffusion-v1.5</a>, <a href="https://huggingface.co/nitrosocke/Arcane-Diffusion">Arcane</a>, <a href="https://huggingface.co/nitrosocke/archer-diffusion">Archer</a>, <a href="https://huggingface.co/nitrosocke/elden-ring-diffusion">Elden Ring</a>, <a href="https://huggingface.co/nitrosocke/spider-verse-diffusion">Spider-Verse</a>, <a href="https://huggingface.co/nitrosocke/modern-disney-diffusion">Modern Disney</a>, <a href="https://huggingface.co/nitrosocke/classic-anim-diffusion">Classic Disney</a>, <a href="https://huggingface.co/hakurei/waifu-diffusion">Waifu</a>, <a href="https://huggingface.co/lambdalabs/sd-pokemon-diffusers">Pokémon</a>, <a href="https://huggingface.co/AstraliteHeart/pony-diffusion">Pony Diffusion</a>, <a href="https://huggingface.co/nousr/robo-diffusion">Robo Diffusion</a>, <a href="https://huggingface.co/DGSpitzer/Cyberpunk-Anime-Diffusion">Cyberpunk Anime</a>, <a href="https://huggingface.co/dallinmackay/Tron-Legacy-diffusion">Tron Legacy</a> + any other custom Diffusers 🧨 SD model hosted on HuggingFace 🤗.
+               <a href="https://huggingface.co/CompVis/stable-diffusion-v1-4">Stable-Diffusion-v1.4</a>, <a href="https://huggingface.co/nitrosocke/elden-ring-diffusion">Elden Ring</a>, <a href="https://huggingface.co/hakurei/waifu-diffusion">Waifu</a>, <a href="https://huggingface.co/lambdalabs/sd-pokemon-diffusers">Pokémon</a>, <a href="https://huggingface.co/AstraliteHeart/pony-diffusion">Pony Diffusion</a>, <a href="https://huggingface.co/nousr/robo-diffusion">Robo Diffusion</a>, <a href="https://huggingface.co/DGSpitzer/Cyberpunk-Anime-Diffusion">Cyberpunk Anime</a>, <a href="https://huggingface.co/dallinmackay/Tron-Legacy-diffusion">Tron Legacy</a> + any other custom Diffusers 🧨 SD model hosted on HuggingFace 🤗.
               </p>
             </div>
         """
@@ -230,15 +223,13 @@ with gr.Blocks(css=css) as demo:
     #     <p>Don't want to wait in queue? <a href="https://colab.research.google.com/gist/qunash/42112fb104509c24fd3aa6d1c11dd6e0/copy-of-fine-tuned-diffusion-gradio.ipynb"><img data-canonical-src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" src="https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667"></a></p>
     #  Running on <b>{device}</b>{(" in a <b>Google Colab</b>." if is_colab else "")}
     # </p>
+
+    # TODO: do not support the custom model
     with gr.Row():
         
         with gr.Column(scale=55):
           with gr.Group():
               model_name = gr.Dropdown(label="Model", choices=[m.name for m in models], value=current_model.name)
-              with gr.Box(visible=False) as custom_model_group:
-                custom_model_path = gr.Textbox(label="Custom model path", placeholder="Path to model, e.g. nitrosocke/Arcane-Diffusion", interactive=True)
-                gr.HTML("<div><font size='2'>Custom models have to be downloaded first, so give it some time.</font></div>")
-              
               with gr.Row():
                 prompt = gr.Textbox(label="Prompt", show_label=False, max_lines=2,placeholder="Enter prompt. Style applied automatically").style(container=False)
                 generate = gr.Button(value="Generate").style(rounded=(False, True, True, False))
@@ -271,8 +262,7 @@ with gr.Blocks(css=css) as demo:
                 image = gr.Image(label="Image", height=256, tool="editor", type="pil")
                 strength = gr.Slider(label="Transformation strength", minimum=0, maximum=1, step=0.01, value=0.5)
 
-    model_name.change(lambda x: gr.update(visible = x == models[0].name), inputs=model_name, outputs=custom_model_group)
-    custom_model_path.change(custom_model_changed, inputs=custom_model_path, outputs=None)
+    # model_name.change(lambda x: gr.update(visible = x == models[0].name), inputs=model_name, outputs=custom_model_group)
     # n_images.change(lambda n: gr.Gallery().style(grid=[2 if n > 1 else 1], height="auto"), inputs=n_images, outputs=gallery)
 
     inputs = [model_name, prompt, guidance, steps, width, height, seed, image, strength, neg_prompt]

requirements.txt

@@ -1,4 +1,3 @@
---extra-index-url https://download.pytorch.org/whl/cu113
 torch
 git+https://github.com/huggingface/diffusers.git
 transformers