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:
- 687197e5217b10b55e18122e63a8418e80b4e8b7fb8ca4aab360da9445e10aee
- Size of remote file:
- 2.13 MB
- SHA256:
- 22eee9b2f2a1b6ac152eab13fe4682d5d7d27238e1b986f663bc77a917354a93
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