Instructions to use diffusers-internal-dev/flux1-depth-dev-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/flux1-depth-dev-diffusers 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-internal-dev/flux1-depth-dev-diffusers", 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:
- e5b3b7a99c8fa12313458f183bb47f26432daddfdad0a91aec1640cefc839ed5
- Size of remote file:
- 3.87 GB
- SHA256:
- 61e59875679174c4de46570fae3088a032a6b563914341e2a3e54061fb66fc74
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