How to use ml-resources/flux-3-image-klein 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("ml-resources/flux-3-image-klein", 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]
https://huggingface.co/ml-resources/flux-3-image-klein/resolve/main/text_encoder/tokenizer.json
hf download hf://ml-resources/flux-3-image-klein/text_encoder/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ml-resources/flux-3-image-klein/resolve/main/text_encoder/tokenizer.json
