How to use Felldude/FLUX.2-klein-base-4B 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("Felldude/FLUX.2-klein-base-4B", 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/Felldude/FLUX.2-klein-base-4B/resolve/main/README.md
hf download hf://Felldude/FLUX.2-klein-base-4B/README.md
curl -L -o README.md https://huggingface.co/Felldude/FLUX.2-klein-base-4B/resolve/main/README.md
language: - en license: bigscience-openrail-m tags: - TF32 - FP32 - FP16 - BF16
