feifeilib/feifeimodload.py

import torch
import spaces
from diffusers import (
    DiffusionPipeline,
    AutoencoderTiny,
    FluxImg2ImgPipeline
)
from huggingface_hub import hf_hub_download

def feifeimodload():

    dtype = torch.bfloat16
    device = "cuda" if torch.cuda.is_available() else "cpu"

    
    #pipe = DiffusionPipeline.from_pretrained(
    #    "aifeifei798/DarkIdol-flux-v1", torch_dtype=dtype
    #).to(device)

    pipe = DiffusionPipeline.from_pretrained(
        "black-forest-labs/FLUX.1-schnell", torch_dtype=dtype
    ).to(device)
    
    pipe.load_lora_weights(
        hf_hub_download("aifeifei798/feifei-flux-lora-v1.1", "feifei-v1.1.safetensors"),
        adapter_name="feifei",
    )

    #pipe.set_adapters(
    #    ["feifei"],
    #    adapter_weights=[0.85],
    #)
    
    #pipe.fuse_lora(
    #    adapter_name=["feifei"],
    #    lora_scale=1.0,
    #)

    #pipe.enable_sequential_cpu_offload()
    pipe.vae.enable_slicing()
    pipe.vae.enable_tiling()
    # pipe.unload_lora_weights()
    torch.cuda.empty_cache()
    return pipe