third_party/diffsynth/examples/flux2/model_inference/FLUX.2-klein-9B.py

from diffsynth.pipelines.flux2_image import Flux2ImagePipeline, ModelConfig
import torch


pipe = Flux2ImagePipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="black-forest-labs/FLUX.2-klein-9B", origin_file_pattern="text_encoder/*.safetensors"),
        ModelConfig(model_id="black-forest-labs/FLUX.2-klein-9B", origin_file_pattern="transformer/*.safetensors"),
        ModelConfig(model_id="black-forest-labs/FLUX.2-klein-9B", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
    ],
    tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-klein-9B", origin_file_pattern="tokenizer/"),
)
prompt = "Masterpiece, best quality. Anime-style portrait of a woman in a blue dress, underwater, surrounded by colorful bubbles."
image = pipe(prompt, seed=0, rand_device="cuda", num_inference_steps=4)
image.save("image_FLUX.2-klein-9B.jpg")

prompt = "change the color of the clothes to red"
image = pipe(prompt, edit_image=[image], seed=1, rand_device="cuda", num_inference_steps=4)
image.save("image_edit_FLUX.2-klein-9B.jpg")