KeyError: 'time_embed.0.weight'

Window10 python3.10.9 CPU: AMD 5950x GPU: Nvidia 3080ti

found directory D:\CGAI\stable_diffusion_webui\sucai\imgs\100_test contains 30 image files 3000 train images with repeating. 0 reg images. no regularization images / 正則化画像が見つかりませんでした [Dataset 0] batch_size: 1 resolution: (512, 512) enable_bucket: True min_bucket_reso: 256 max_bucket_reso: 1024 bucket_reso_steps: 64 bucket_no_upscale: True

[Subset 0 of Dataset 0] image_dir: "D:\CGAI\stable_diffusion_webui\sucai\imgs\100_test" image_count: 30 num_repeats: 100 shuffle_caption: True keep_tokens: 0 caption_dropout_rate: 0.0 caption_dropout_every_n_epoches: 0 caption_tag_dropout_rate: 0.0 color_aug: False flip_aug: False face_crop_aug_range: None random_crop: False is_reg: False class_tokens: test caption_extension: .caption

[Dataset 0] loading image sizes. 100%|████████████████████████████████████████████████████████████████████████████████| 30/30 [00:00<00:00, 3332.52it/s] make buckets min_bucket_reso and max_bucket_reso are ignored if bucket_no_upscale is set, because bucket reso is defined by image size automatically / bucket_no_upscaleが指定された場合は、bucketの解像度は画像サイズから自動計算されるため、min_bucket_resoとmax_bucket_resoは無視されます number of images (including repeats) / 各bucketの画像枚数（繰り返し回数を含む） bucket 0: resolution (320, 512), count: 3000 mean ar error (without repeats): 0.05859375 prepare accelerator Using accelerator 0.15.0 or above. load StableDiffusion checkpoint Traceback (most recent call last): File "D:\CGAI\stable_diffusion_webui\kohya_ss\train_network.py", line 659, in train(args) File "D:\CGAI\stable_diffusion_webui\kohya_ss\train_network.py", line 115, in train textencoder, vae, unet, = train_util.load_target_model(args, weight_dtype) File "D:\CGAI\stable_diffusion_webui\kohya_ss\library\train_util.py", line 2027, in load_target_model text_encoder, vae, unet = model_util.load_models_from_stable_diffusion_checkpoint(args.v2, name_or_path) File "D:\CGAI\stable_diffusion_webui\kohya_ss\library\model_util.py", line 877, in load_models_from_stable_diffusion_checkpoint converted_unet_checkpoint = convert_ldm_unet_checkpoint(v2, state_dict, unet_config) File "D:\CGAI\stable_diffusion_webui\kohya_ss\library\model_util.py", line 234, in convert_ldm_unet_checkpoint new_checkpoint["time_embedding.linear_1.weight"] = unet_state_dict["time_embed.0.weight"] KeyError: 'time_embed.0.weight' Traceback (most recent call last): File "C:\Python310\lib\runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "C:\Python310\lib\runpy.py", line 86, in _run_code exec(code, run_globals) File "D:\CGAI\stable_diffusion_webui\kohya_ss\venv\Scripts\accelerate.exe__main__.py", line 7, in File "D:\CGAI\stable_diffusion_webui\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main args.func(args) File "D:\CGAI\stable_diffusion_webui\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command simple_launcher(args) File "D:\CGAI\stable_diffusion_webui\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 567, in simple_launcher raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd) subprocess.CalledProcessError: Command '['D:\CGAI\stable_diffusion_webui\kohya_ss\venv\Scripts\python.exe', 'train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=D:/CGAI/stable_diffusion_webui/stable-diffusion-webui/extensions/sd-webui-additional-networks/models/lora/hipoly3DModelLora_v10.safetensors', '--train_data_dir=D:/CGAI/stable_diffusion_webui/sucai/imgs', '--resolution=512,512', '--output_dir=D:/CGAI/stable_diffusion_webui/kohya_ss/output/models', '--logging_dir=D:/CGAI/stable_diffusion_webui/kohya_ss/output/logs', '--network_alpha=1', '--save_model_as=safetensors', '--network_module=networks.lora', '--text_encoder_lr=5e-5', '--unet_lr=0.0001', '--network_dim=8', '--output_name=last', '--lr_scheduler_num_cycles=15', '--learning_rate=0.0001', '--lr_scheduler=cosine', '--lr_warmup_steps=4500', '--train_batch_size=1', '--max_train_steps=45000', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--cache_latents', '--optimizer_type=AdamW8bit', '--bucket_reso_steps=64', '--mem_eff_attn', '--shuffle_caption', '--gradient_checkpointing', '--xformers', '--bucket_no_upscale']' returned non-zero exit status 1.

bmaltais / kohya_ss

KeyError: 'time_embed.0.weight' #397