all works fine with SD15 !
if i change the model to SDXL oc also the lora to SDXL-Loras i get that error
(in addition i must have resolution dev by 16)
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 742, 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.
hey
all in all i followed that video https://www.youtube.com/watch?v=jh-TrplWVA0
all works fine with SD15 ! if i change the model to SDXL oc also the lora to SDXL-Loras i get that error (in addition i must have resolution dev by 16)
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 742, 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 bysd-scripts
.