Update app.py

app.py

@@ -10,19 +10,18 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 pipe = DiffusionPipeline.from_pretrained("circulus/canvers-realistic-v3.6", torch_dtype=torch.float16, safety_checker=None)
 pipe = pipe.to(device)
 pipe.enable_xformers_memory_efficient_attention()
-upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, safety_checker=None)
-upscaler = upscaler.to(device)
-upscaler.enable_xformers_memory_efficient_attention()
-
+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 = refiner.to(device)
 
 def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale):
-    
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
-    
     if upscale == "Yes":
+        n_steps = 40
+        high_noise_frac = 0.8
         image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images[0]
-        upscaled = upscaler(Prompt, negative_prompt=negative_prompt, image=image, num_inference_steps=5, guidance_scale=0).images[0]
-        return (image, upscaled)
+        image = refiner(prompt=prompt, negative_prompt=negative_prompt, image=int_image, num_inference_steps=n_steps, denoising_start=high_noise_frac).images[0]
+        return (image, refined)
     else:
         image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images[0]
     return (image, image)
@@ -34,7 +33,7 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
                                gr.Slider(1, maximum=15, value=7, step=.25, label='Guidance Scale'), 
                                gr.Slider(25, maximum=100, value=50, step=25, label='Number of Iterations'), 
                                gr.Slider(minimum=0, step=1, maximum=9999999999999999, randomize=True, label='Seed: 0 is Random'), 
-                               gr.Radio(["Yes", "No"], label='Upscale?', value='No'),
+                               gr.Radio(["Yes", "No"], label='SDXL 1.0 Refiner', value='No'),
                               ],
              outputs=[gr.Image(label='Generated Image'), gr.Image(label='Generated Image')], 
              title="PhotoReal V3.6 with SD x2 Upscaler - GPU",