Update app.py

app.py

@@ -9,7 +9,7 @@ from huggingface_hub import hf_hub_download
 device = 'cuda' #if torch.cuda.is_available() else 'cpu'
 torch.cuda.max_memory_allocated(device=device)
 torch.cuda.empty_cache()
-pipe = DiffusionPipeline.from_pretrained("circulus/canvers-realistic-fastXL-v4", torch_dtype=torch.float16, safety_checker=None)
+pipe = DiffusionPipeline.from_pretrained("circulus/canvers-fusionXL-v1", torch_dtype=torch.float16, safety_checker=None)
 pipe.enable_xformers_memory_efficient_attention()
 pipe = pipe.to(device)
 torch.cuda.empty_cache()
@@ -32,7 +32,7 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
                                gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
                                gr.Slider(512, 2048, 1024, step=128, label='Height'),
                                gr.Slider(512, 2048, 1024, step=128, label='Width'),
-                               gr.Slider(0, maximum=15, value=10, step=.25, label='Guidance Scale'), 
+                               gr.Slider(7.5, maximum=15, value=10, step=.25, label='Guidance Scale'), 
                                gr.Slider(10, maximum=50, value=25, step=5, label='Number of Iterations'), 
                                gr.Slider(minimum=0, step=1, maximum=9999999999999999, randomize=True, label='Seed: 0 is Random')],
              outputs=gr.Image(label='Generated Image'),