Update app.py

app.py

@@ -4,6 +4,8 @@ import torch
 from PIL import Image
 import utils
 
+is_colab = utils.is_google_colab()
+
 class Model:
     def __init__(self, name, path, prefix):
         self.name = name
@@ -32,16 +34,19 @@ last_mode = "txt2img"
 current_model = models[1]
 current_model_path = current_model.path
 
-# download all models
-vae = AutoencoderKL.from_pretrained(current_model.path, subfolder="vae", torch_dtype=torch.float16)
-for model in models[1:]:
-  try:
-      unet = UNet2DConditionModel.from_pretrained(model.path, subfolder="unet", torch_dtype=torch.float16)
-      model.pipe_t2i = StableDiffusionPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16)
-      model.pipe_i2i = StableDiffusionImg2ImgPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16)
-  except:
-      models.remove(model)
-pipe = models[1].pipe_t2i
+if is_colab:
+  pipe = StableDiffusionPipeline.from_pretrained(current_model.path, torch_dtype=torch.float16)
+
+else: # download all models
+  vae = AutoencoderKL.from_pretrained(current_model.path, subfolder="vae", torch_dtype=torch.float16)
+  for model in models[1:]:
+    try:
+        unet = UNet2DConditionModel.from_pretrained(model.path, subfolder="unet", torch_dtype=torch.float16)
+        model.pipe_t2i = StableDiffusionPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16)
+        model.pipe_i2i = StableDiffusionImg2ImgPipeline.from_pretrained(model.path, unet=unet, vae=vae, torch_dtype=torch.float16)
+    except:
+        models.remove(model)
+  pipe = models[1].pipe_t2i
   
 if torch.cuda.is_available():
   pipe = pipe.to("cuda")
@@ -76,7 +81,7 @@ def txt_to_img(model_path, prompt, neg_prompt, guidance, steps, width, height, g
     if model_path != current_model_path or last_mode != "txt2img":
         current_model_path = model_path
 
-        if current_model == models[0]:
+        if is_colab or current_model == models[0]:
           pipe = StableDiffusionPipeline.from_pretrained(current_model_path, torch_dtype=torch.float16)
         else:
           pipe.to("cpu")
@@ -97,7 +102,7 @@ def txt_to_img(model_path, prompt, neg_prompt, guidance, steps, width, height, g
       height = height,
       generator = generator)
     
-    return result.images[0]
+    return replace_nsfw_images(result)
 
 def img_to_img(model_path, prompt, neg_prompt, img, strength, guidance, steps, width, height, generator=None):
 
@@ -107,7 +112,7 @@ def img_to_img(model_path, prompt, neg_prompt, img, strength, guidance, steps, w
     if model_path != current_model_path or last_mode != "img2img":
         current_model_path = model_path
 
-        if current_model == models[0]:
+        if is_colab or current_model == models[0]:
           pipe = StableDiffusionImg2ImgPipeline.from_pretrained(current_model_path, torch_dtype=torch.float16)
         else:
           pipe.to("cpu")
@@ -132,7 +137,13 @@ def img_to_img(model_path, prompt, neg_prompt, img, strength, guidance, steps, w
         height = height,
         generator = generator)
         
-    return result.images[0]
+    return replace_nsfw_images(result)
+
+def replace_nsfw_images(results):
+    for i in range(len(results.images)):
+      if results.nsfw_content_detected[i]:
+        results.images[i] = Image.open("nsfw.png")
+    return results.images[0]
 
 css = """
   <style>
@@ -178,7 +189,8 @@ with gr.Blocks(css=css) as demo:
                Demo for multiple fine-tuned Stable Diffusion models, trained on different styles: <br>
                <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 🤗.
               </p>
-               Running on <b>{device}</b>
+              <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>
             </div>
         """
@@ -232,5 +244,21 @@ with gr.Blocks(css=css) as demo:
     prompt.submit(inference, inputs=inputs, outputs=image_out)
     generate.click(inference, inputs=inputs, outputs=image_out)
 
-demo.queue(concurrency_count=1)
-demo.launch(debug=false, share=false)
+    ex = gr.Examples([
+        [models[1].name, "jason bateman disassembling the demon core", 7.5, 50],
+        [models[4].name, "portrait of dwayne johnson", 7.0, 75],
+        [models[5].name, "portrait of a beautiful alyx vance half life", 10, 50],
+        [models[6].name, "Aloy from Horizon: Zero Dawn, half body portrait, smooth, detailed armor, beautiful face, illustration", 7.0, 45],
+        [models[5].name, "fantasy portrait painting, digital art", 4.0, 30],
+    ], [model_name, prompt, guidance, steps, seed], image_out, inference, cache_examples=False)
+
+    gr.Markdown('''
+      Models by [@nitrosocke](https://huggingface.co/nitrosocke), [@haruu1367](https://twitter.com/haruu1367), [@Helixngc7293](https://twitter.com/DGSpitzer) and others. ❤️<br>
+      Space by: [![Twitter Follow](https://img.shields.io/twitter/follow/hahahahohohe?label=%40anzorq&style=social)](https://twitter.com/hahahahohohe)
+        
+      ![visitors](https://visitor-badge.glitch.me/badge?page_id=anzorq.finetuned_diffusion)
+    ''')
+
+if not is_colab:
+  demo.queue(concurrency_count=1)
+demo.launch(debug=is_colab, share=is_colab)