Image inpainting tool powered by SOTA AI Model
Project description
Lama Cleaner
A free and open-source inpainting tool powered by SOTA AI model.
https://user-images.githubusercontent.com/3998421/196976498-ba1ad3ab-fa18-4c55-965f-5c6683141375.mp4
Sponsor
❤️ Your logo |
Features
- Completely free and open-source, fully self-hosted, support CPU & GPU & M1/2
- Windows 1-Click Installer
- Multiple SOTA AI models
- Erase model: LaMa/LDM/ZITS/MAT/FcF/Manga
- Erase and Replace model: Stable Diffusion/Paint by Example
- Plugins for post-processing:
- RemoveBG: Remove images background
- RealESRGAN: Super Resolution
- GFPGAN: Face Restoration
- RestoreFormer: Face Restoration
- More features at lama-cleaner-docs
Quick Start
Lama Cleaner make it easy to use SOTA AI model in just two commands:
# In order to use the GPU, install cuda version of pytorch first.
# pip install torch==1.13.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117
pip install lama-cleaner
lama-cleaner --model=lama --device=cpu --port=8080
That's it, Lama Cleaner is now running at http://localhost:8080
See all command line arguments at lama-cleaner-docs
Development
Only needed if you plan to modify the frontend and recompile yourself.
Frontend
Frontend code are modified from cleanup.pictures, You can experience their great online services here.
- Install dependencies:
cd lama_cleaner/app/ && pnpm install
- Start development server:
pnpm start
- Build:
pnpm build
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
lama-cleaner-1.0.1.tar.gz
(922.6 kB
view hashes)
Built Distribution
lama_cleaner-1.0.1-py3-none-any.whl
(941.8 kB
view hashes)
Close
Hashes for lama_cleaner-1.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d4e583c3232aa3ce9cbf6156f2f2ec7cbd558d7e6db66ab7b11d5e9523c0e8b |
|
MD5 | 937b4c3f646c5bb62c65f372aec4d04c |
|
BLAKE2b-256 | 340d2e4ebac2e68d771021a4dd67e604959a1c8a6bdd7d53a49cb8ede0cf9106 |