Instructions to use diffusers/FLUX.1-dev-bnb-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/FLUX.1-dev-bnb-8bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/FLUX.1-dev-bnb-8bit", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 7e7f686a17260e264ede4ffca0ae2ac5deb3f764b789c1c7b0cf54f39853814a
- Size of remote file:
- 4.88 GB
- SHA256:
- f9c6e8441fadbeb7c877ba1f6c696921da851d7376182fbe368d7d84ef3fb0f0
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