exp_code/1_benchmark/Flux-dev/infer.py

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("/mnt/workspace/checkpoints/black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "A cat holding a sign that says hello world"
image = pipe(
    prompt,
    height=384,  # 384 192 96
    width=640,   # 640 320 160
    guidance_scale=3.5,
    num_inference_steps=50,
    max_sequence_length=512,
    generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("flux-dev.png")