playgroundai-legacy/lama-cleaner

Fork of https://github.com/Sanster/lama-cleaner

152

stars

553

commits

Python

primary language

Apr 3, 2023

updated

README

Lama Cleaner

A free and open-source inpainting tool powered by SOTA AI model.

total download version Open in Colab Hugging Face Spaces python version version

https://user-images.githubusercontent.com/3998421/196976498-ba1ad3ab-fa18-4c55-965f-5c6683141375.mp4

Features

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

Contributors

Sanster

511 commits

blessedcoolant

24 commits

loretoparisi

6 commits

fiskbil

5 commits

playgroundai-legacy/lama-cleaner

Fork of https://github.com/Sanster/lama-cleaner

152

stars

553

commits

Python

primary language

Apr 3, 2023

updated

README

Lama Cleaner

A free and open-source inpainting tool powered by SOTA AI model.

total download version Open in Colab Hugging Face Spaces python version version

https://user-images.githubusercontent.com/3998421/196976498-ba1ad3ab-fa18-4c55-965f-5c6683141375.mp4

Features

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

Contributors

Sanster

511 commits

blessedcoolant

24 commits

loretoparisi

6 commits

fiskbil

5 commits

Languages

Python

56.8%

TypeScript

28.6%

JavaScript

8.9%

SCSS

5.0%