Update app.py

app.py

@@ -54,35 +54,10 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
             torch.cuda.empty_cache()
             return image
 
-    if Model == "SDXL 1.0":
-        
-        torch.cuda.empty_cache()
-        torch.cuda.max_memory_allocated(device=device)
-        sdxl = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-        sdxl.enable_xformers_memory_efficient_attention()
-        sdxl = sdxl.to(device)   
-        torch.cuda.empty_cache()
     
-        if refine == "Yes":
-            torch.cuda.max_memory_allocated(device=device)
-            torch.cuda.empty_cache()
-            image = sdxl(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, output_type="latent").images
-            torch.cuda.empty_cache()
-            sdxl = 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")
-            sdxl.enable_xformers_memory_efficient_attention()
-            sdxl = sdxl.to(device)
-            torch.cuda.empty_cache()
-            refined = sdxl(Prompt, negative_prompt=negative_prompt, image=image, denoising_start=high_noise_frac).images[0]
-            torch.cuda.empty_cache()
-            return refined
-        else:   
-            image = sdxl(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images[0]
-            torch.cuda.empty_cache()
-            return image
-
     return image
     
-gr.Interface(fn=genie, inputs=[gr.Radio(['PhotoReal', 'Animagine XL 3.0', 'SDXL 1.0',], value='PhotoReal', label='Choose Model'),
+gr.Interface(fn=genie, inputs=[gr.Radio(['PhotoReal', 'Animagine XL 3.0',], value='PhotoReal', label='Choose Model'),
                                gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
                                gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
                                gr.Slider(512, 1024, 768, step=128, label='Height'),