Update app.py

app.py

@@ -9,9 +9,9 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 pipe = DiffusionPipeline.from_pretrained("circulus/canvers-anime-v3.8.1", safety_checker=None)
 pipe = pipe.to(device)
 
-def genie (Prompt, negative_prompt, scale, steps, seed):
+def genie (Prompt, negative_prompt, scale, seed):
     generator = torch.Generator(device=device).manual_seed(seed)
-    image = pipe(Prompt, negative_prompt=negative_prompt, height=512, width=512, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
+    image = pipe(Prompt, negative_prompt=negative_prompt, height=512, width=512, guidance_scale=scale, generator=generator).images[0]
     return image
     
 gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
@@ -19,10 +19,10 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
                                #gr.Slider(512, 768, 512, step=128, label='height'),
                                #gr.Slider(512, 768, 512, step=128, label='width'),
                                gr.Slider(1, maximum=9, value=5, step=.25), 
-                               gr.Slider(1, maximum=50, value=25, step=1), 
+                               #gr.Slider(1, maximum=50, value=25, step=1), 
                                gr.Slider(minimum=0, step=1, maximum=9999999999999999, randomize=True, label='Seed'),
                               ],
              outputs = 'image',
              title = 'Canvers Anime V3.8.1 - CPU', 
-             description = "<b>WARNING:</b> Extremely Slow. 35s/Iteration. Expect 8-16mins an image for 15-30 iterations respectively. 50 iterations takes ~28mins.", 
+             description = "<b>WARNING:</b> Extremely Slow. 15s/Iteration. Expect 8-16mins. 50 iterations takes ~15mins.", 
              article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=True)