Instructions to use diffusers/FLUX.1-dev-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/FLUX.1-dev-bnb-4bit 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-4bit", 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 Settings
- Draw Things
- DiffusionBee
Download transformer/diffusion_pytorch_model.safetensors from diffusers/FLUX.1-dev-bnb-4bit: direct link, hf CLI and curl.
- Browser
- Download file 6.7 GB
-
https://huggingface.co/diffusers/FLUX.1-dev-bnb-4bit/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://diffusers/FLUX.1-dev-bnb-4bit/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/diffusers/FLUX.1-dev-bnb-4bit/resolve/main/transformer/diffusion_pytorch_model.safetensors
6.7 GB
- Xet hash:
- 17cb4d71148539edec0a0f1c0c1f08f01d118a3dece45438572b950152d3b016
- Size of remote file:
- 6.7 GB
- SHA256:
- 4c18002073feb01503d837d6c88ffe6a104fbdb9630137d841d476090874eda3
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