Update app.py

app.py

@@ -137,9 +137,9 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, up
         if upscale == "Yes":
             torch.cuda.max_memory_allocated(device=device)
             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)
+            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 = refiner.to(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()
@@ -157,7 +157,7 @@ gr.Interface(fn=genie, inputs=[gr.Radio(['PhotoReal', 'Anime', 'Disney', 'StoryB
                                gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
                                gr.Slider(512, 1024, 768, step=128, label='Height'),
                                gr.Slider(512, 1024, 768, step=128, label='Width'),
-                               gr.Slider(1, maximum=9, value=5, step=.25, label='Guidance Scale'), 
+                               gr.Slider(1, maximum=15, value=5, 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='SDXL 1.0 Refiner: Use if the Image has too much Noise', value='No'),