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--- |
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license: creativeml-openrail-m |
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datasets: |
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- ioclab/grayscale_image_aesthetic_3M |
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language: |
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- en |
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--- |
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# Model Card for ioclab/ioc-controlnet |
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This model brings perfect control over the light and dark areas of the picture |
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## Model Details |
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- **Developed by:** [@shichen](https://github.com/chenbaiyujason) |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** Stable Diffusion ControlNet model for [web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) |
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- **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. |
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## Uses |
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Recommendation Weight: **0.4-0.9** |
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Recommendation Exit Timing: **0.4-0.9** |
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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~~~ |
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For more information, please refer to the document link at the bottom. |
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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. |
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### HuggingFace Space Demo |
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Waiting for upload |
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<!-- [huggingface.co/spaces/ioclab/brightness-controlnet](https://huggingface.co/spaces/ioclab/brightness-controlnet) --> |
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### Direct Use |
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[More Information Needed] |
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### Out-of-Scope Use |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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[More Information Needed] |
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## More Info |
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[illumination ControlNet 使用教程](https://aigc.ioclab.com/sd-showcase/light_controlnet.html) (Chinese) |
