Instructions to use camenduru/ColorFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/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("camenduru/ColorFlow", torch_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:
- d391d14c1eb19a60297ae5704c2fc58d55a80c88eafd4e9f0659dcd927b254c7
- Size of remote file:
- 442 MB
- SHA256:
- bac9146550fb430829a5db3e24ac248c8b713931f9c105d66a1725a6d29798f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.