Update app.py

app.py

@@ -15,16 +15,18 @@ def resize(value,img):
     img = img.resize((value,value))
     return img
 
-def infer(source_img, prompt, negative_prompt, guide, steps, seed):
+def infer(source_img, prompt, negative_prompt, steps, seed):
     generator = torch.Generator(device).manual_seed(seed) 
     imageio.imwrite("data.png", source_img)
     src = resize(768, 'data.png')
     image = pipe(prompt, negative_prompt=negative_prompt, image=src, strength=1, guidance_scale=guide, num_inference_steps=steps).images[0]
     return image
 
-gr.Interface(fn=infer, inputs=[gr.Image(type='numpy', source='canvas'), gr.Textbox(label = 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum'), gr.Textbox(label='What you Do Not want the AI to generate.'),
-    gr.Slider(5, 15, value = 10, label = 'Guidance Scale'),
-    gr.Slider(25, 50, value = 25, step = 1, label = 'Number of Iterations'),
+gr.Interface(fn=infer, inputs=[gr.Image(type='numpy', source='canvas'), 
+                               gr.Textbox(label = 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum'), 
+                               gr.Textbox(label='What you Do Not want the AI to generate.'),
+    #gr.Slider(5, 15, value = 10, label = 'Guidance Scale'),
+    gr.Slider(1, 5, value = 2, step = 1, label = 'Number of Iterations'),
     gr.Slider(label = "Seed", minimum = 0, maximum = 987654321987654321, step = 1, randomize = True)], 
     outputs='image',
              title = "Stable Diffusion XL 1.0 Doodle to Image CPU",