fred-dev/comfy_ui_ali

1import torch2 3 4def convert_lora_bfl_control(sd): #BFL loras for Flux5    sd_out = {}6    for k in sd:7        k_to = "diffusion_model.{}".format(k.replace(".lora_B.bias", ".diff_b").replace("_norm.scale", "_norm.scale.set_weight"))8        sd_out[k_to] = sd[k]9 10    sd_out["diffusion_model.img_in.reshape_weight"] = torch.tensor([sd["img_in.lora_B.weight"].shape[0], sd["img_in.lora_A.weight"].shape[1]])11    return sd_out12 13 14def convert_lora(sd):15    if "img_in.lora_A.weight" in sd and "single_blocks.0.norm.key_norm.scale" in sd:16        return convert_lora_bfl_control(sd)17    return sd18