Image-to-Image
Diffusers
Safetensors
English
Flux2Pipeline
image-generation
image-editing
flux.2
8-bit precision
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("diffusers/FLUX.2-dev-bnb-4bit", torch_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]This repository contains the NF4 quantized DiT and the text encoders from https://huggingface.co/black-forest-labs/FLUX.2-dev. The VAE is not quantized.
Refer to this blog post to learn more.
- Downloads last month
- 24,807