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stable-diffusion-inpainting

Feel like you want to change only a part of your image? In-painting model was made exactly for that purpose. Tell it what you want replaced or changed and it will automatically do it for you.

Hold: 0
Required: 5,000 $wRAI
21.1k runs
Demo
Examples
Input
prompt
Input prompt
negative_prompt
Specify things to not see in the output

image
input content image

mask
input style image
num_outputs
Number of images to output. Higher number of outputs may OOM. (minimum: 1; maximum: 8)
num_inference_steps
Number of denoising steps (minimum: 1; maximum: 500)
guidance_scale
Scale for classifier-free guidance (minimum: 1; maximum: 20)
seed
Random seed. Leave blank to randomize the seed
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Input
guidance_scale
7.5
image
mask
num_inference_steps
25
num_outputs
1
prompt
Face of a yellow cat, high resolution, sitting on a park bench

Readme

This repository contains the officially unofficial PyTorch re-implementation of paper:

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

Developers

Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, Errui Ding