int4-flux.1-dev-qencoder.py

import torch
from diffusers import FluxPipeline

from nunchaku import NunchakuFluxTransformer2dModel, NunchakuT5EncoderModel

transformer = NunchakuFluxTransformer2dModel.from_pretrained("mit-han-lab/svdq-int4-flux.1-dev")
text_encoder_2 = NunchakuT5EncoderModel.from_pretrained("mit-han-lab/svdq-flux.1-t5")
pipeline = FluxPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    text_encoder_2=text_encoder_2,
    transformer=transformer,
    torch_dtype=torch.bfloat16,
).to("cuda")
image = pipeline("A cat holding a sign that says hello world", num_inference_steps=50, guidance_scale=3.5).images[0]
image.save("flux.1-dev.png")