Releases: Sanster/IOPaint
0.36.0
- Rerun last mask: #209
- Save result image without confirm when
--output-diris used: #220 - Keep brush size when switch image: #214
- new side-project tldream: Turn your sketch into a refined image using Stable Diffusion and ControlNet https://github.com/Sanster/tldream
0.35.0
0.35.0
New Model: InstructPix2Pix
--model instruct_pix2pix- github: https://github.com/timothybrooks/instruct-pix2pix
- paper: https://arxiv.org/abs/2211.09800
InstructPix2Pix model can work without mask.
| original | result | Prompt | Guidance Scale | Image Guidance Scale | Seed |
|---|---|---|---|---|---|
 |
 |
turn the duck blue, in the style of van gogh | 9 | 1.6 | 108227038 |
 |
 |
make her hair black | 7 | 1.5 | 749559112 |
 |
 |
make it summer | 7 | 1.5 | 195504576 |
Share result by GIF
Click the GIF button in the toolbar, you can download a result GIF, it's fun!
0.34.0: Windows Installer v2
Windows Installer v2
https://lama-cleaner-docs.vercel.app/install/windows_1click_installer
Remove the tasks.py file, and add a gradio based web config page to help the user set command line args. Click the Save configurations button will save an installer_config.json file in the same directory and the win_start.bat script will load this JSON file when starting the server.
New command line args
--no-gui-auto-close: when starting as a desktop app, the backend server will auto close, if the app is closed, but some users may have bug like #188 . If it happens to you, this arg can prevent the backend auto close after the GUI window is closed.
docker image 0.33.0
New GPU docker image, update Cuda and pytorch version, add xformers. With --enable-xformers, SD model get 30%~40% performance improvement
- cuda: 11.7
- pytorch: 1.13.1
- minimum nvidia driver: 515.43.04+
- xformers: 0.0.16rc425
docker run --gpus all -p 8080:8080 \
-v /path/to/cache_dir:/root/.cache/ \
--rm cwq1913/lama-cleaner:gpu-0.33.0 \
lama-cleaner --device=cuda --port=8080 --host=0.0.0.0 --enable-xformers0.33.0
Optimize GPU Memory
Correctly implement --cpu-offload, test result for 512x512 image:
Stable Diffusion Model
- fp16: 2GB
--no-half: 3GB
Paint by Example Model
- fp16: 2.6GB
- --no-half: 4.5GB
0.32.1
0.32.0
Lama Cleaner Docs
Docs website: https://lama-cleaner-docs.vercel.app/
New command line arg
To solve the most frequently asked question: how to change the model directory
--model-dir: set model download directory
0.31.0
Happy new year 🎆 ! I just recovered from COVID and it's been really hard to be sick, hope everyone is doing well.
File Manager
2023-01-08.22.36.50.mov
I realize that some users will use this tool to process lots of photos and I thought a FileManager would be helpful. Users can search images by name, and browser images in both the image directory and the output directory. To enable the FileManager, set two command line args when starting Lama Cleaner.
--input: a directory contains images you want to clean up--output-dir: The directory where you want to save the resulting image when clicking the download button on the web page, the resulting image will download to the output directory. A folder will be created in this directory to store the thumbnails
A folder icon will appear on the left-top corner, click this icon to open FileManager, or use shortcut f.
SD/PaintByExample Image Resize
2023-01-08.22.39.05.mov
Resize the image before inpainting, then scale up the inpainting area to fill the origin area, the area outside the mask will not lose quality. This option can be used to save vRAM.
cpu_offload
new command line arg: --cpu-offload for sd/paint_by_example model, offloads all models to CPU, reducing vRAM usage.
According to diffusers's document, vRAM can be reduced to 2GB, but that doesn't seem to be the case in my tests, you can try it yourself.
Stable Diffusion 1.5
No more huggingface access token is needed at the first download time