Instructions to use hf-internal-testing/tiny-flux2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-flux2 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("hf-internal-testing/tiny-flux2", 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
- Xet hash:
- 8fc1db5575260e889dcbf29accc2b76249a5ed247fb8e60f5dafb1e282313496
- Size of remote file:
- 19.7 kB
- SHA256:
- b55fca11bf5915695bd4fa6ec242116c755bca4c4fbc19f78840a12437f53b3b
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