Instructions to use Letian2003/FLUX.1-dev_vae_unfrzvae_lr2e7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Letian2003/FLUX.1-dev_vae_unfrzvae_lr2e7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Letian2003/FLUX.1-dev_vae_unfrzvae_lr2e7", 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:
- dcf462156532f9a27b19705894a5bf182d9b27a6d72da3796c10c4cdac468fd5
- Size of remote file:
- 335 MB
- SHA256:
- cedcb9746d3630e74358ed344c74dafa8c0c3d605dad0101027b9e3c08a68b29
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