Instructions to use kaiyuyue/FLUX.2-dev-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kaiyuyue/FLUX.2-dev-vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kaiyuyue/FLUX.2-dev-vae", torch_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
| license: other | |
| license_name: flux-dev-non-commercial-license | |
| license_link: https://huggingface.co/black-forest-labs/FLUX.2-dev/blob/main/LICENSE.txt | |
| tags: | |
| - Image-to-Image | |
| - FLUX | |
| # intro | |
| fork the subdirectory [black-forest-labs/FLUX.2-dev/vae](https://huggingface.co/black-forest-labs/FLUX.2-dev/tree/main/vae) to load only the VAE | |
| # usage | |
| ```python | |
| from diffusers.models import AutoencoderKL as DiffusersAutoencoderKL | |
| model = DiffusersAutoencoderKL.from_pretrained("kaiyuyue/FLUX.2-dev-vae") | |
| ``` | |
| # license | |
| FLUX.2-dev [LICENSE.md](https://huggingface.co/black-forest-labs/FLUX.2-dev/blob/main/LICENSE.txt) | |