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", 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:
- db32d3a06d99bc0e3b950086f9853edd3b2cee04a00a0849e0b018a52fdb1570
- Size of remote file:
- 340 MB
- SHA256:
- 80b34ef6426842f04d7f93d76e6b9015eee297cf202c9fd4b807f5d80b79ca03
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