
# 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)
{"language": ["en"], "license": "creativeml-openrail-m", "datasets": ["ioclab/grayscale_image_aesthetic_3M"]}
transformers en dataset:ioclab/grayscale_image_aesthetic_3M license:creativeml-openrail-m endpoints_compatible has_space region:us
TAGS
#transformers #en #dataset-ioclab/grayscale_image_aesthetic_3M #license-creativeml-openrail-m #endpoints_compatible #has_space #region-us 


# 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
- Shared by [optional]: 
- Model type: Stable Diffusion ControlNet model for web UI
- License: The CreativeML OpenRAIL M license is an Open RAIL M license, adapted from the work that BigScience and the RAIL Initiative are jointly carrying in the area of responsible AI licensing. See also the article about the BLOOM Open 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

!1

!1

!1

!1


!1


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



### Direct Use



### Out-of-Scope Use



## Bias, Risks, and Limitations




## More Info

illumination ControlNet 使用教程 (Chinese)
# 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
- Shared by [optional]: 
- Model type: Stable Diffusion ControlNet model for web UI
- License: The CreativeML OpenRAIL M license is an Open RAIL M license, adapted from the work that BigScience and the RAIL Initiative are jointly carrying in the area of responsible AI licensing. See also the article about the BLOOM Open 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

!1

!1

!1

!1


!1


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 ### Direct Use ### Out-of-Scope Use ## Bias, Risks, and Limitations ## More Info

illumination ControlNet 使用教程 (Chinese)
TAGS
#transformers #en #dataset-ioclab/grayscale_image_aesthetic_3M #license-creativeml-openrail-m #endpoints_compatible #has_space #region-us 
 # 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
- Shared by [optional]: 
- Model type: Stable Diffusion ControlNet model for web UI
- License: The CreativeML OpenRAIL M license is an Open RAIL M license, adapted from the work that BigScience and the RAIL Initiative are jointly carrying in the area of responsible AI licensing. See also the article about the BLOOM Open 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

!1

!1

!1

!1


!1


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 ### Direct Use ### Out-of-Scope Use ## Bias, Risks, and Limitations ## More Info

illumination ControlNet 使用教程 (Chinese)
TAGS
#transformers #en #dataset-ioclab/grayscale_image_aesthetic_3M #license-creativeml-openrail-m #endpoints_compatible #has_space #region-us 
# 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
- Shared by [optional]: 
- Model type: Stable Diffusion ControlNet model for web UI
- License: The CreativeML OpenRAIL M license is an Open RAIL M license, adapted from the work that BigScience and the RAIL Initiative are jointly carrying in the area of responsible AI licensing. See also the article about the BLOOM Open 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

!1

!1

!1

!1


!1


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### Direct Use### Out-of-Scope Use## Bias, Risks, and Limitations## More Info

illumination ControlNet 使用教程 (Chinese)