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chenbaiyujason
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---
license: creativeml-openrail-m
datasets:
- ioclab/grayscale_image_aesthetic_3M
language:
- en
---
# Model Card for ioclab/ioc-controlnet
This model brings brightness control to Stable Diffusion, allowing users to colorize grayscale images or recolor generated images.
## Model Details
- **Developed by:** [@shichen](https://github.com/chenbaiyujason)
- **Shared by [optional]:** [More Information Needed]
- **Model type:** Stable Diffusion ControlNet model for [web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
- **License:** [The CreativeML OpenRAIL M license](https://huggingface.co/spaces/CompVis/stable-diffusion-license) is an [Open RAIL M license](https://www.licenses.ai/blog/2022/8/18/naming-convention-of-responsible-ai-licenses), adapted from the work that [BigScience](https://bigscience.huggingface.co/) and [the RAIL Initiative](https://www.licenses.ai/) are jointly carrying in the area of responsible AI licensing. See also [the article about the BLOOM Open RAIL license](https://bigscience.huggingface.co/blog/the-bigscience-rail-license) on which our license is based.
## Uses
Recommendation Weight: **0.4-0.9**
Recommendation Exit Timing: **0.4-0.9**
As more datasets are still being trained in this model, it is expected to take 2-4 days. Therefore, flexible weight adjustments should be made based on different scenarios and specific results. If you have generated good images or encountered any problems, you can discuss them on Hugging Face~~~
![1](./image/s33.png)
![1](./image/s9.jpg)
![1](./image/s10.jpg)
![1](./image/s11.jpg)
![1](./image/s34.png)
![1](./image/s26.jpg)
For more information, please refer to the document link at the bottom.
Please note that the model is still under training iteration!! Please come back every 3 days to check if the latest modified version has been released.
### HuggingFace Space Demo
Waiting for upload
<!-- [huggingface.co/spaces/ioclab/brightness-controlnet](https://huggingface.co/spaces/ioclab/brightness-controlnet) -->
### Direct Use
[More Information Needed]
### Out-of-Scope Use
[More Information Needed]
## Bias, Risks, and Limitations
[More Information Needed]
## More Info
[illumination ControlNet 使用教程](https://aigc.ioclab.com/sd-showcase/light_controlnet.html) (Chinese)