Update app.py

app.py

@@ -5,43 +5,26 @@ import numpy as np
 from diffusers import DiffusionPipeline 
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
+
 if torch.cuda.is_available():
-    #PYTORCH_CUDA_ALLOC_CONF={'max_split_size_mb': 6000}
     torch.cuda.max_memory_allocated(device=device)
     torch.cuda.empty_cache()
     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
-    #pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
     torch.cuda.empty_cache()
-    #refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16")
-    #refiner.enable_xformers_memory_efficient_attention()
-    #refiner.enable_sequential_cpu_offload()
-    #refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
 else: 
     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
     pipe = pipe.to(device)
-    #pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
-    #refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
-    #refiner = refiner.to(device)
-    #refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
-
+    
 def genie (prompt, steps, seed):
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
     int_image = pipe(prompt=prompt, generator=generator, num_inference_steps=steps, guidance_scale=0.0).images[0]
-    #image = refiner(prompt=prompt, prompt_2=prompt_2, negative_prompt=negative_prompt, negative_prompt_2=negative_prompt_2, image=int_image, denoising_start=high_noise_frac).images[0]   
     return int_image
     
 gr.Interface(fn=genie, inputs=[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.'), 
-    #gr.Slider(512, 1024, 768, step=128, label='Height'),
-    #gr.Slider(512, 1024, 768, step=128, label='Width'),
-    #gr.Slider(1, 15, 10, label='Guidance Scale'), 
     gr.Slider(1, maximum=5, value=2, step=1, label='Number of Iterations'), 
     gr.Slider(minimum=0, step=1, maximum=999999999999999999, randomize=True),
-    #gr.Textbox(label='Embedded Prompt'),
-    #gr.Textbox(label='Embedded Negative Prompt'),
-    #gr.Slider(minimum=.7, maximum=.99, value=.95, step=.01, label='Refiner Denoise Start %')
     ],
     outputs='image', 
     title="Stable Diffusion Turbo CPU or GPU",