Use diffusers/stable-diffusion-xl-1.0-inpainting-0.1

app.py

@@ -5,13 +5,13 @@ import time
 import math
 import random
 import imageio
-from PIL import (Image, ImageFilter)
+from PIL import Image, ImageFilter
 import torch
 
 max_64_bit_int = 2**63 - 1
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-pipe = StableDiffusionXLInpaintPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0")
+pipe = StableDiffusionXLInpaintPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1")
 pipe = pipe.to(device)
 
 def noise_color(color, noise):
@@ -235,6 +235,7 @@ with gr.Blocks() as interface:
         <li>To <b>upscale</b> your image, I recommend to use <i>Ilaria Upscaler</i>,</li>
         <li>To <b>slightly change</b> your image, I recommend to use <i>Image-to-Image SDXL</i>,</li>
         <li>To change <b>one detail</b> on your image, I recommend to use <i>Inpaint SDXL</i>,</li>
+        <li>To remove the <b>background</b> of your image, I recommend to use <i>BRIA</i>,</li>
         <li>To make a <b>tile</b> of your image, I recommend to use <i>Make My Image Tile</i>,</li>
         <li>To modify <b>anything else</b> on your image, I recommend to use <i>Instruct Pix2Pix</i>.</li>
         </ul>