Instructions to use weights/flux-fill-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use weights/flux-fill-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("weights/flux-fill-dev", 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:
- a73a2c5c5dd12d0d1134decadb6020e2110fe5f4ad32b6fa8eda5d17e1910ce9
- Size of remote file:
- 335 MB
- SHA256:
- 8c717328c8ad41faab2ccfd52ae17332505c6833cf176aad56e7b58f2c4d4c94
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