Instructions to use TencentARC/ColorFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/ColorFlow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/ColorFlow", 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
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<a href='https://zhuang2002.github.io/ColorFlow/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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<a href='https://huggingface.co/spaces/TencentARC/ColorFlow'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Demo-blue'></a>
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<a href=""><img src="https://img.shields.io/static/v1?label=Arxiv Preprint&message=ColorFlow&color=red&logo=arxiv"></a>
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<a href="https://huggingface.co/
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**Your star means a lot for us to develop this project!** :star:
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<a href='https://zhuang2002.github.io/ColorFlow/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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<a href='https://huggingface.co/spaces/TencentARC/ColorFlow'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Demo-blue'></a>
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<a href=""><img src="https://img.shields.io/static/v1?label=Arxiv Preprint&message=ColorFlow&color=red&logo=arxiv"></a>
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<a href="https://huggingface.co/TencentARC/ColorFlow"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-blue"></a>
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**Your star means a lot for us to develop this project!** :star:
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