Do the trained LoRA weights for Qwen-Image differ from those used in Diffusers? Why can't they be loaded properly in Diffusers?

I added the prefix “transformer.” to the keys and load Qwen-Image lora weights，but there is warning
Loading adapter weights from state_dict led to unexpected keys found in the model: transformer_blocks.0.img_mod.1.lora_A.default_0.default.weight, transformer_blocks.0.img_mod.1.lora_B.default_0.default.weight, transformer_blocks.0.attn.to_q.lora_A.default_0.default.weight, transformer_blocks.0.attn.to_q.lora_B.default_0.default.weight, transformer_blocks.0.attn.to_k.lora_A.default_0.default.weight, transformer_blocks.0.attn.to_k.lora_B.default_0.default.weight, transformer_blocks.0.attn.to_v.lora_A.default_0.default.weight, transformer_blocks.0.attn.to_v.lora_B.default_0.default.weight, transformer_blocks.0.attn.add_k_proj.lora_A.default_0.default.weight, transformer_blocks.0.attn.add_k_proj.lora_B.default_0.default.weight, transformer_blocks.0.attn.add_v_proj.lora_A.default_0.default.weight, transformer_blocks.0.attn.add_v_proj.lora_B.default_0.default.weight, transformer_blocks.0.attn.add_q_proj.lora_A.default_0.default.weight,

how to load lora weights properly in Diffusers.

Start by reproducing the Qwen-Image LoRA loading warning in Diffusers and compare the reported state_dict keys with the model's expected keys. Trace whether the trained weights use a different naming or adapter format; done means the weights load without unexpected-key warnings and the behavior is verified.