- Authors: Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng and Zhibo Chen.
- Institutes: University of Science and Technology of China; Eastern Institute for Advanced Study.
- [Paper] [Website] [HuggingFace Homepage]
TL; DR: Users can select any object in an image by clicking on it. With powerful vision models, e.g., SAM, LaMa and Stable Diffusion (SD), Inpaint Anything is able to remove the object smoothly (i.e., Remove Anything). Further, prompted by user input text, Inpaint Anything can fill the object with any desired content (i.e., Fill Anything) or replace the background of it arbitrarily (i.e., Replace Anything).
[2023/4/24] Local web UI supported! You can run the demo website locally!
[2023/4/22] Website available! You can experience Inpaint Anything through the interface!
[2023/4/22] Remove Anything 3D available! You can remove any 3D object from a 3D scene!
- Any aspect ratio supported
- 2K resolution supported
- Technical report on arXiv
- Website (🔥NEW)
- Local web UI supported (🔥NEW)
Click on an object in the image, and Inpainting Anything will remove it instantly!
- Click on an object;
- Segment Anything Model (SAM) segments the object out;
- Inpainting models (e.g., LaMa) fill the "hole".
Requires python>=3.8
python -m pip install torch torchvision torchaudio
python -m pip install -e segment_anything
python -m pip install -r lama/requirements.txt On Windows system, we recommend to first install miniconda and
open Anaconda Powershell Prompt (miniconda3) as administrator.
Then pip install ./lama_requirements_windows.txt instead of
./lama/requirements.txt.
Download the model checkpoints provided in segment_anything
and lama (e.g. sam_vit_h_4b8939.pth
and big-lama), and put them into ./pretrained_models.
Specify an image and a point, and Inpaint-Anything will remove the object at the point.
python remove_anything.py \
--input_img ./example/remove-anything/dog.jpg \
--point_coords 200 450 \
--point_labels 1 \
--dilate_kernel_size 15 \
--output_dir ./results \
--sam_model_type "vit_h" \
--sam_ckpt ./pretrained_models/sam_vit_h_4b8939.pth \
--lama_config ./lama/configs/prediction/default.yaml \
--lama_ckpt ./pretrained_models/big-lama |
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Text prompt: "a teddy bear on a bench"
Click on an object, type in what you want to fill, and Inpaint Anything will fill it!
- Click on an object;
- SAM segments the object out;
- Input a text prompt;
- Text-prompt-guided inpainting models (e.g., Stable Diffusion) fill the "hole" according to the text.
Requires python>=3.8
python -m pip install torch torchvision torchaudio
python -m pip install -e segment_anything
python -m pip install diffusers transformers accelerate scipy safetensorsDownload the model checkpoints provided in segment_anything
(e.g. sam_vit_h_4b8939.pth).
, and put them into ./pretrained_models.
Specify an image, a point and text prompt, and run:
python fill_anything.py \
--input_img ./example/fill-anything/sample1.png \
--point_coords 750 500 \
--point_labels 1 \
--text_prompt "a teddy bear on a bench" \
--dilate_kernel_size 50 \
--output_dir ./results \
--sam_model_type "vit_h" \
--sam_ckpt ./pretrained_models/sam_vit_h_4b8939.pth |
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Text prompt: "a man in office"
Click on an object, type in what background you want to replace, and Inpaint Anything will replace it!
- Click on an object;
- SAM segments the object out;
- Input a text prompt;
- Text-prompt-guided inpainting models (e.g., Stable Diffusion) replace the background according to the text.
Requires python>=3.8
python -m pip install torch torchvision torchaudio
python -m pip install -e segment_anything
python -m pip install diffusers transformers accelerate scipy safetensorsDownload the model checkpoints provided in segment_anything
(e.g. sam_vit_h_4b8939.pth)
, and put them into ./pretrained_models.
Specify an image, a point and text prompt, and run:
python replace_anything.py \
--input_img ./example/replace-anything/dog.png \
--point_coords 750 500 \
--point_labels 1 \
--text_prompt "sit on the swing" \
--output_dir ./results \
--sam_model_type "vit_h" \
--sam_ckpt ./pretrained_models/sam_vit_h_4b8939.pth |
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Remove Anything 3D can remove any object from a 3D scene! We release some results below.
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If you find this work useful for your research, please cite us:
@article{yu2023inpaint,
title={Inpaint Anything: Segment Anything Meets Image Inpainting},
author={Yu, Tao and Feng, Runseng and Feng, Ruoyu and Liu, Jinming and Jin, Xin and Zeng, Wenjun and Chen, Zhibo},
journal={arXiv preprint arXiv:2304.06790},
year={2023}
}