Instructions to use mao1207/color-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mao1207/color-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mao1207/color-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Our data can be found in the following link: [RCID Dataset](https://huggingface.co/datasets/mao1207/RCID)
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The code is released on [https://github.com/mao1207/RCID
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## License
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The source code of this repository is released under the Apache License 2.0. The model license and dataset license are listed on their corresponding webpages.
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For more information, access to the dataset, and to contribute, please visit our [Website](https://color-illusion.github.io/Color-Illusion/).
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Our data can be found in the following link: [RCID Dataset](https://huggingface.co/datasets/mao1207/RCID)
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The code is released on [Color Illusion](https://github.com/mao1207/RCID)
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## License
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The source code of this repository is released under the Apache License 2.0. The model license and dataset license are listed on their corresponding webpages.
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For more information, access to the dataset, and to contribute, please visit our [Website](https://color-illusion.github.io/Color-Illusion/).
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