Update app.py

app.py

@@ -15,18 +15,17 @@ def resize(value,img):
     img = img.resize((value,value))
     return img
 
-def infer(source_img, prompt, negative_prompt, guide, steps, seed, Strength):
+def infer(source_img, prompt, negative_prompt, guide, steps, seed):
     generator = torch.Generator(device).manual_seed(seed) 
-    imageio.imwrite("data.png", source_img)
+    imageio.imwrite("data.png", source_img['mask'])
     src = resize(768, 'data.png')
-    image = pipe(prompt, negative_prompt=negative_prompt, image=src, strength=Strength, guidance_scale=guide, num_inference_steps=steps).images[0]
+    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(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 = 1, maximum = 3, step = .05, value = 1.5)], 
+    gr.Slider(label = "Seed", minimum = 0, maximum = 987654321987654321, step = 1, randomize = True)], 
     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",