Update app.py

app.py

@@ -25,13 +25,10 @@ else:
     refiner = refiner.to(device)
     refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
 
-n_steps = 40
-high_noise_frac = 0.8
-
-def genie (prompt, negative_prompt, height, width, scale, steps, seed, prompt_2, negative_prompt_2):
-    generator = torch.Generator(device=device).manual_seed(seed)
+def genie (prompt, negative_prompt, height, width, scale, steps, seed, prompt_2, negative_prompt_2, high_noise_frac):
+    generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
     int_image = pipe(prompt, prompt_2=prompt_2, negative_prompt_2=negative_prompt_2, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, num_images_per_prompt=1, generator=generator, output_type="latent").images 
-    image = refiner(prompt=prompt, prompt_2=prompt_2, negative_prompt=negative_prompt, negative_prompt_2=negative_prompt_2, image=int_image).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 image
     
 gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
@@ -42,7 +39,8 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
     gr.Slider(25, maximum=50, value=25, step=1, label='Number of Iterations'), 
     gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True),
     gr.Textbox(label='Embedded Prompt'),
-    gr.Textbox(label='Embedded Negative 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 XL 1.0 CPU or GPU", 
     description="SDXL 1.0 CPU or GPU. Currently running on CPU. <br><br><b>WARNING:</b> Extremely Slow. 65s/Iteration. Expect 25-50mins an image for 25-50 iterations respectively. This model is capable of producing NSFW (Softcore) images.",