Instructions to use suyc21/CellFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suyc21/CellFlux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suyc21/CellFlux", 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:
- 3c286feccc19ea73ab66e8585d5de73c45429eba2d24b9223015d14e782f2f9e
- Size of remote file:
- 1.07 MB
- SHA256:
- aed8785f197431b2e78f00fecf3d3dea1916e5893edf56a2584d5a8cc06d0ead
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