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Description
Lora was trained on turbo with official Gradio app using default settings on a 3060 12gb, Windows 10..
Error:
Pinning data of 'transformer' to reserved RAM
The whole model was pinned to reserved RAM: 10 large blocks spread across 2327.82 MB
Async loading plan for model 'transformer' : base size of 64.61 MB will be preloaded with a 60.09 MB async shuttle
Hooked to model 'text_encoder_2' (Qwen3Model)
Hooked to model 'codec' (AutoencoderOobleck)
Hooked to model 'text_encoder' (Qwen3ForCausalLM)
Async loading plan for model 'text_encoder' : base size of 848.46 MB will be preloaded with a 48.05 MB async circular shuttle
Lora 'loras\ace_step_v1_5\adapter_model.safetensors' contains unexpected module keys, it is likely that this Lora is for a different model : '['base_model.model.layers.0.cross_a
ttn.k_proj.lora_A.weight', 'base_model.model.layers.0.cross_attn.k_proj.lora_B.weight', 'base_model.model.layers.0.cross_attn.o_proj.lora_A.weight', 'base_model.mode...'
Traceback (most recent call last):
File "E:\pinokio\api\wan.git\app\wgp.py", line 7129, in queue_worker_func
generate_video(task, send_cmd, plugin_data=plugin_data, **filtered_params)
File "E:\pinokio\api\wan.git\app\wgp.py", line 5943, in generate_video
raise gr.Error("Error while loading Loras: " + ", ".join(error_files))
gradio.exceptions.Error: "Error while loading Loras: Lora 'loras\ace_step_v1_5\adapter_model.safetensors' contains unexpected module keys, it is likely that this Lora is for a
different model : '['base_model.model.layers.0.cross_attn.k_proj.lora_A.weight', 'base_model.model.layers.0.cross_attn.k_proj.lora_B.weight', 'base_model.model.layers.0.cross_a
ttn.o_proj.lora_A.weight', 'base_model.mode...'"
Error Queue autosaved successfully to error_queue.zip
Lora 'loras\ace_step_v1_5\adapter_model.safetensors' contains unexpected module keys, it is likely that this Lora is for a different model : '['base_model.model.layers.0.cross_a
ttn.k_proj.lora_A.weight', 'base_model.model.layers.0.cross_attn.k_proj.lora_B.weight', 'base_model.model.layers.0.cross_attn.o_proj.lora_A.weight', 'base_model.mode...'
Traceback (most recent call last):
File "E:\pinokio\api\wan.git\app\wgp.py", line 7129, in queue_worker_func
generate_video(task, send_cmd, plugin_data=plugin_data, **filtered_params)
File "E:\pinokio\api\wan.git\app\wgp.py", line 5943, in generate_video
raise gr.Error("Error while loading Loras: " + ", ".join(error_files))
gradio.exceptions.Error: "Error while loading Loras: Lora 'loras\ace_step_v1_5\adapter_model.safetensors' contains unexpected module keys, it is likely that this Lora is for a
different model : '['base_model.model.layers.0.cross_attn.k_proj.lora_A.weight', 'base_model.model.layers.0.cross_attn.k_proj.lora_B.weight', 'base_model.model.layers.0.cross_a
ttn.o_proj.lora_A.weight', 'base_model.mode...'"
Error Queue autosaved successfully to error_queue.zip
Lora 'loras\ace_step_v1_5\epoch_600.safetensors' contains unexpected module keys, it is likely that this Lora is for a different model : '['base_model.model.layers.0.cross_attn.
k_proj.lora_A.weight', 'base_model.model.layers.0.cross_attn.k_proj.lora_B.weight', 'base_model.model.layers.0.cross_attn.o_proj.lora_A.weight', 'base_model.mode...'
Traceback (most recent call last):
File "E:\pinokio\api\wan.git\app\wgp.py", line 7129, in queue_worker_func
generate_video(task, send_cmd, plugin_data=plugin_data, **filtered_params)
File "E:\pinokio\api\wan.git\app\wgp.py", line 5943, in generate_video
raise gr.Error("Error while loading Loras: " + ", ".join(error_files))
gradio.exceptions.Error: "Error while loading Loras: Lora 'loras\ace_step_v1_5\epoch_600.safetensors' contains unexpected module keys, it is likely that this Lora is for a dif
ferent model : '['base_model.model.layers.0.cross_attn.k_proj.lora_A.weight', 'base_model.model.layers.0.cross_attn.k_proj.lora_B.weight', 'base_model.model.layers.0.cross_attn.
o_proj.lora_A.weight', 'base_model.mode...'"