Update app.py

app.py

@@ -14,7 +14,7 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
        
     if Model == "PhotoReal":
-        pipe = DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1")
+        pipe = DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.9.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1")
         pipe.enable_xformers_memory_efficient_attention()
         pipe = pipe.to(device)
         torch.cuda.empty_cache()
@@ -52,7 +52,7 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
                return image
     
     if Model == "Anime":
-        anime = DiffusionPipeline.from_pretrained("circulus/canvers-anime-v3.8.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-anime-v3.8.1")
+        anime = DiffusionPipeline.from_pretrained("circulus/canvers-anime-v3.9.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-anime-v3.8.1")
         anime.enable_xformers_memory_efficient_attention()
         anime = anime.to(device)
         torch.cuda.empty_cache()
@@ -90,7 +90,7 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
                return image
                 
     if Model == "Disney":
-        disney = DiffusionPipeline.from_pretrained("circulus/canvers-disney-v3.8.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-disney-v3.8.1")
+        disney = DiffusionPipeline.from_pretrained("circulus/canvers-disney-v3.9.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-disney-v3.8.1")
         disney.enable_xformers_memory_efficient_attention()
         disney = disney.to(device)
         torch.cuda.empty_cache()
@@ -129,7 +129,7 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
                return image
             
     if Model == "StoryBook":
-        story = DiffusionPipeline.from_pretrained("circulus/canvers-story-v3.8.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-story-v3.8.1")
+        story = DiffusionPipeline.from_pretrained("circulus/canvers-story-v3.9.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-story-v3.8.1")
         story.enable_xformers_memory_efficient_attention()
         story = story.to(device)
         torch.cuda.empty_cache()
@@ -170,7 +170,7 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
                return image
 
     if Model == "SemiReal":
-        semi = DiffusionPipeline.from_pretrained("circulus/canvers-semi-v3.8.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-semi-v3.8.1")
+        semi = DiffusionPipeline.from_pretrained("circulus/canvers-semi-v3.9.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-semi-v3.8.1")
         semi.enable_xformers_memory_efficient_attention()
         semi = semi.to(device)
         torch.cuda.empty_cache()
@@ -398,6 +398,6 @@ gr.Interface(fn=genie, inputs=[gr.Radio(['PhotoReal', 'Anime', 'Disney', 'StoryB
                                gr.Slider(minimum=.9, maximum=.99, value=.95, step=.01, label='Refiner Denoise Start %'),
                                gr.Radio(["Yes", "No"], label = 'SD X2 Latent Upscaler?', value="No")],
              outputs=gr.Image(label='Generated Image'), 
-             title="Manju Dream Booth V1.8 with SDXL 1.0 Refiner and SD X2 Latent Upscaler - GPU", 
+             title="Manju Dream Booth V1.9 with SDXL 1.0 Refiner and SD X2 Latent Upscaler - GPU", 
              description="<br><br><b/>Warning: This Demo is capable of producing NSFW content.", 
              article = "If You Enjoyed this Demo and would like to Donate, you can send any amount to any of these Wallets. <br><br>SHIB (BEP20): 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>PayPal: https://www.paypal.me/ManjushriBodhisattva <br>ETH: 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>DOGE: D9QdVPtcU1EFH8jDC8jhU9uBcSTqUiA8h6<br><br>Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)