Update app.py

app.py

@@ -23,11 +23,11 @@ def infer(source_img, prompt, negative_prompt, guide, steps, seed, Strength):
     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(2, 15, value = 7, label = 'Guidance Scale'),
+    gr.Slider(5, 15, value = 10, label = 'Guidance Scale'),
     gr.Slider(1, 25, value = 10, step = 1, label = 'Number of Iterations'),
     gr.Slider(label = "Seed", minimum = 0, maximum = 987654321987654321, step = 1, randomize = True), 
-    gr.Slider(label='Strength', minimum = 0, maximum = 1, step = .05, value = .5)], 
-    outputs='image', 
+    gr.Slider(label='Strength', minimum = 1, maximum = 3, step = .05, value = 1.5)], 
+    outputs='image',
              title = "Stable Diffusion XL 1.0 Doodle to Image CPU", 
              description = "For more information on Stable Diffusion XL 1.0 see https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0 <br><br>Upload an Image (<b>MUST Be .PNG and 512x512 or 768x768</b>) enter a Prompt, or let it just do its Thing, then click submit. 10 Iterations takes about ~900-1200 seconds currently. For more informationon about Stable Diffusion or Suggestions for prompts, keywords, artists or styles see https://github.com/Maks-s/sd-akashic", 
              article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").queue(max_size=5).launch()