Instructions to use diffusers/FLUX.1-Depth-dev-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/FLUX.1-Depth-dev-nf4 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-Depth-dev-nf4", 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:
- 2028cbaa0ca0e0b56683f0496b1c2610f672e80bb4a3f0c8e8d5c55b48122541
- Size of remote file:
- 6.7 GB
- SHA256:
- ec232c2fadb539361a8ebd34f739e9e15c31a2fce7e50f265198721671e313bf
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