import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Audante/FLUX.2-klein-4B-bf16", 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]FLUX.2 [klein] 4B (diffusers, bf16)
A copy of black-forest-labs/FLUX.2-klein-4B at revision e7b7dc27f91deacad38e78976d1f2b499d76a294, by Black Forest Labs. This is not an official release.
Changes
None. The files are identical to the source.
Licence
Apache License 2.0, as the source — see LICENSE.
All rights to the model remain with its authors.
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