Instructions to use yeonjoon-jung/FLUX.2-dev_FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yeonjoon-jung/FLUX.2-dev_FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yeonjoon-jung/FLUX.2-dev_FP8", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download vae/diffusion_pytorch_model.bin from yeonjoon-jung/FLUX.2-dev_FP8: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/yeonjoon-jung/FLUX.2-dev_FP8/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://yeonjoon-jung/FLUX.2-dev_FP8@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/yeonjoon-jung/FLUX.2-dev_FP8/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
168 MB
- Xet hash:
- 4f6a35adbe23f11cac73939eae84d4ad0b766e0da59ddf76e0be467f8b3189cd
- Size of remote file:
- 168 MB
- SHA256:
- 17612617e03890ff51e5559b7b3a17225e6d85da98f21bae74a6fa661fc91137
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