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import safetensors.torch
sd = safetensors.torch.load_file("lora.safetensors")
sd_out = {}
for k in sd:
sd_out["diffusion_model.{}".format(k.replace(".down.weight", ".lora_down.weight").replace(".up.weight", ".lora_up.weight").replace(".processor.proj_lora1.", ".img_attn.proj.").replace(".processor.proj_lora2.", ".txt_attn.proj.").replace(".processor.qkv_lora1.", ".img_attn.qkv.").replace(".processor.qkv_lora2.", ".txt_attn.qkv."))] = sd[k]
safetensors.torch.save_file(sd_out, "flux_realism_lora.safetensors")
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