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
- Xet hash:
- 00876d83572b15ae3b959ca35d52ec5f74fe261465983f59d3e1aa0618522c7b
- Size of remote file:
- 1.01 GB
- SHA256:
- 8a44d038e3cc791c10ca99be0e0939f2e6c132bc58be0f5f74d7a94502744f8e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.