Instructions to use sayakpaul/FLUX.1-dev-edit-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sayakpaul/FLUX.1-dev-edit-v0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sayakpaul/FLUX.1-dev-edit-v0", dtype=torch.bfloat16, device_map="cuda") prompt = "Give this the look of a traditional Japanese woodblock print." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- b78389384843b7339e020976fbbd3ecc784edbe1f172faf3364e15557460feba
- Size of remote file:
- 3.04 MB
- SHA256:
- cfb6b3c14ca98cd073637cf23966aae6ee26d68af752a7880fabce270a5b143a
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