sdxl lora run sd-webui-additional-networks

[rookiexjl]

*** Error running process_batch: /root/autodl-tmp/stable-diffusion-webui/extensions/sd-webui-additional-networks/scripts/additional_networks.py
Traceback (most recent call last):
File "/root/autodl-tmp/stable-diffusion-webui/modules/scripts.py", line 643, in process_batch
script.process_batch(p, *script_args, **kwargs)
File "/root/autodl-tmp/stable-diffusion-webui/extensions/sd-webui-additional-networks/scripts/additional_networks.py", line 244, in process_batch
network, info = lora_compvis.create_network_and_apply_compvis(
File "/root/autodl-tmp/stable-diffusion-webui/extensions/sd-webui-additional-networks/scripts/lora_compvis.py", line 153, in create_network_and_apply_compvis
network = LoRANetworkCompvis(text_encoder, unet, multiplier_tenc, multiplier_unet, modules_dim, modules_alpha)
File "/root/autodl-tmp/stable-diffusion-webui/extensions/sd-webui-additional-networks/scripts/lora_compvis.py", line 341, in init
comp_vis_lora_name = LoRANetworkCompvis.convert_diffusers_name_to_compvis(self.v2, du_lora_name)
File "/root/autodl-tmp/stable-diffusion-webui/extensions/sd-webui-additional-networks/scripts/lora_compvis.py", line 302, in convert_diffusers_name_to_compvis
assert cv_name is not None, f"conversion failed: {du_name}. the model may not be trained by sd-scripts."
AssertionError: conversion failed: lora_te1_text_model_encoder_layers_0_mlp_fc1. the model may not be trained by sd-scripts.

[kalle07]

that error i get if i star automatc1111
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D:\stable-diffusion\webui\extensions\sd-webui-additional-networks\scripts\metadata_editor.py:399: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead.
with gr.Row().style(equal_height=False):
D:\stable-diffusion\webui\extensions\sd-webui-additional-networks\scripts\metadata_editor.py:521: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead.
cover_image = gr.Image(
Running on local URL: http://127.0.0.1:7864
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and this if i enable network and chose 2 loras in the list

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LoRA weight_unet: 1, weight_tenc: 1, model: kalle07_010_cosine_iter2_ 000012_jugger_20epoches_adafactor_new2_32_16(71f40b64e0e4)
dimension: {32}, alpha: {16.0}, multiplier_unet: 1, multiplier_tenc: 1
*** Error running process_batch: D:\stable-diffusion\webui\extensions\sd-webui-additional-networks\scripts\additional_networks.py
Traceback (most recent call last):
File "D:\stable-diffusion\webui\modules\scripts.py", line 643, in process_batch
script.process_batch(p, *script_args, **kwargs)
File "D:\stable-diffusion\webui\extensions\sd-webui-additional-networks\scripts\additional_networks.py", line 244, in process_batch
network, info = lora_compvis.create_network_and_apply_compvis(
File "D:\stable-diffusion\webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 153, in create_network_and_apply_compvis
network = LoRANetworkCompvis(text_encoder, unet, multiplier_tenc, multiplier_unet, modules_dim, modules_alpha)
File "D:\stable-diffusion\webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 341, in init
comp_vis_lora_name = LoRANetworkCompvis.convert_diffusers_name_to_compvis(self.v2, du_lora_name)
File "D:\stable-diffusion\webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 302, in convert_diffusers_name_to_compvis
assert cv_name is not None, f"conversion failed: {du_name}. the model may not be trained by sd-scripts."
AssertionError: conversion failed: lora_te1_text_model_encoder_layers_0_mlp_fc1. the model may not be trained by sd-scripts.

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