使用 Diffuser 运行 Fluxn Mac

python3 -m venv fluxtestsource fluxtest/bin/activate

pip install -u "huggingface_hub[cli]"huggingface-cli login

pip install torch==2.3.1pip install git+https://github.com/huggingface/diffusers.gitpip install transformers==4.43.3 sentencepiece==0.2.0 accelerate==0.33.0 protobuf==5

import torchfrom diffusers import  fluxpipelineimport diffusers_flux_rope = diffusers.models.transformers.transformer_flux.ropedef new_flux_rope(pos: torch.tensor, dim: int, theta: int) -> torch.tensor:    assert dim % 2 == 0, "the dimension must be even."    if pos.device.type == "mps":        return _flux_rope(pos.to("cpu"), dim, theta).to(device=pos.device)    else:        return _flux_rope(pos, dim, theta)diffusers.models.transformers.transformer_flux.rope = new_flux_ropepipe = fluxpipeline.from_pretrained("black-forest-labs/flux.1-schnell", revision='refs/pr/1',  torch_dtype=torch.bfloat16).to("mps")prompt = "japanese girl, photo-realistic"out = pipe(     prompt=prompt,     guidance_scale=0.,     height=1024,     width=1024,     num_inference_steps=4,     max_sequence_length=256,).images[0]out.save("image.png")

python image.py