Update app.py

app.py

@@ -7,26 +7,6 @@ from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline
 
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
-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 = pipe.to(device)
-pipe.enable_xformers_memory_efficient_attention()
-torch.cuda.empty_cache()
-
-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 = anime.to(device)
-anime.enable_xformers_memory_efficient_attention()
-torch.cuda.empty_cache()
-
-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 = disney.to(device)
-disney.enable_xformers_memory_efficient_attention()
-torch.cuda.empty_cache()
-
-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 = story.to(device)
-story.enable_xformers_memory_efficient_attention()
-torch.cuda.empty_cache()
-
 refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16") if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0")
 refiner.enable_xformers_memory_efficient_attention()
 refiner = refiner.to(device)
@@ -35,6 +15,10 @@ torch.cuda.empty_cache()
 def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, upscale, high_noise_frac):
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
     if Model == "Real":
+        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 = pipe.to(device)
+        pipe.enable_xformers_memory_efficient_attention()
+        torch.cuda.empty_cache()
         if upscale == "Yes":
             int_image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images
             image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=high_noise_frac).images[0]
@@ -46,6 +30,10 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, up
             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 = anime.to(device)
+        anime.enable_xformers_memory_efficient_attention()
+        torch.cuda.empty_cache()
         if upscale == "Yes":
             int_image = anime(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images
             image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=high_noise_frac).images[0]
@@ -57,6 +45,10 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, up
             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 = disney.to(device)
+        disney.enable_xformers_memory_efficient_attention()
+        torch.cuda.empty_cache()
         if upscale == "Yes":
             int_image = disney(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images
             image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=high_noise_frac).images[0]
@@ -68,6 +60,10 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, up
             return image
             
     if Model == "Story":
+        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 = story.to(device)
+        story.enable_xformers_memory_efficient_attention()
+        torch.cuda.empty_cache()
         if upscale == "Yes":
             int_image = story(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images
             image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=high_noise_frac).images[0]