https://github.com/sjaak31367/a1111-controlnet-batch-preprocessor
A Python script to run a batch of images through ControlNet via A1111's API.
https://github.com/sjaak31367/a1111-controlnet-batch-preprocessor
a1111 a1111-stable-diffusion-webui batch-processing controlnet stable-diffusion-webui
Last synced: 6 months ago
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A Python script to run a batch of images through ControlNet via A1111's API.
- Host: GitHub
- URL: https://github.com/sjaak31367/a1111-controlnet-batch-preprocessor
- Owner: sjaak31367
- License: agpl-3.0
- Created: 2023-09-15T19:19:39.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-21T18:41:22.000Z (over 1 year ago)
- Last Synced: 2025-03-28T01:53:33.333Z (6 months ago)
- Topics: a1111, a1111-stable-diffusion-webui, batch-processing, controlnet, stable-diffusion-webui
- Language: Python
- Homepage:
- Size: 1.62 MB
- Stars: 7
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# A1111 ControlNet Batch Pre-processor
A script to apply AUTOMATIC1111's [Stable Diffusion web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) [ControlNet Extension](https://github.com/Mikubill/sd-webui-controlnet) to a bunch of images with a single click, and store all the outputs, rather than having to run the ControlNet manually for each and every input image.
-----
Originally made just to speed up running a bunch of video frames through OpenPose, but it might also be useful for other things for other people. :)
**It's currently just a stand-alone Python script, but it might be an A1111 Extension at some point (or not).**
## Feature plans:
- Allow videos as input, and extract frames through FFMPEG.
- Make this an A1111 Extension.
## Examples:
Input: Frames as individual files.
Output: Processed frames as individual files.
## Requirements:
[AUTOMATIC1111 Stable Diffusion web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui),
[ControlNet Extension](https://github.com/Mikubill/sd-webui-controlnet),
[This repository](https://github.com/sjaak31367/a1111-controlnet-batch-preprocessor)
## Install:
1. Make sure you have A1111, and the ControlNet extension installed.
2. Install this repository (Either by hitting the green Code button, or by opening up CMD/GIT_Bash/Terminal and running
`git clone https://github.com/sjaak31367/a1111-controlnet-batch-preprocessor.git`).
3. Run A1111 with `--api` flag.
3.1. In `A1111/webui/webui-user.bat` line `set COMMANDLINE_ARGS=` append `--api` and restart A1111 (not just reload).
## Usage:
1. Have A1111 running. (at 127.0.0.1:7860, or edit in `scripts/script.py`)
2. Place the images you wish to run through a ControlNet in `inputs/*`.
3.
```sh
$ cd scripts
$ python script.py
```
4. Wait as the images are run through the ControlNet.
5. Results should be in `outputs/*`. :)
## Help:
```
usage: script.py [-h] [-u URL] [-c CONTROLNET] [-r RESOLUTION] [-l] [-a ARGA] [-b ARGB]
Process a batch of images through a ControlNet sequentially.
options:
-h, --help show this help message and exit
-u URL, --url URL The URL to use to interact with A1111's SD web UI. Default: http://127.0.0.1:7860/
-c CONTROLNET, --controlnet CONTROLNET
Which ControlNet to run the input images through. Default: dw_openpose_full
-r RESOLUTION, --resolution RESOLUTION
Resolution to run the ControlNet at. Default: 512
-l, --list List out all available ControlNets.
-a ARGA, --arga ARGA First argument passed (like Low Threshold). Defaults can be found by using -c [controlnet] -l
-b ARGB, --argb ARGB Second argument passed (like High Threshold). Defaults can be found by using -c [controlnet] -l
```
## Credits & License:
This repository: Sjaak31367 and contributors under AGPL-3.0
Thanks to AUTOMATIC1111 and contributors for creating Stable Diffusion web UI!
Thanks to Mikubill and contributors for creating ControlNet Extension!