안녕하세요. kohya 스타일 학습중 에러 질문드립니다.

AI그림 학습 채널

알림 알림 중 알림 취소

구독자 11426명 알림수신 185명 @포리X

그림 AI 학습 정보를 공유하는 채널

질문 안녕하세요. kohya 스타일 학습중 에러 질문드립니다.

삿포로클래식

추천 0 비추천 0 댓글 3 조회수 474 작성일 2024-12-09 08:45:20

⚠️ 이 게시물은 작성자가 삭제할 수 없도록 설정되어 있습니다.

https://arca.live/b/hypernetworks/123348347

주따님이 배포해주신 https://mega.nz/file/AOM2WaaA#RM7pgtgaw9uC0Psncynv2YaV_Mph88-78L6pNGPX2V8 설정파일로
진행했으며, 베이스 모델은 noobaiXLNAIXL_epsilonPred11Version

Sample prompts에서 1girl, solo, bikini --n nsfw, chibi --w 832 --h 1216 --d 1 --l 6 --s 28 부분을

style --n nsfw, chibi --w 832 --h 1216 --d 1 --l 6 --s 28로 바꿔줬습니다.
위에 부분만 변경하고 나머지 세팅은 그대로인데, 학습을 못하고 오류가 나고있습니다 ㅠㅜ

혹시 파이썬이나 베이스모델 문제일까요?

17:35:17-572922 INFO Start training Dreambooth...

17:35:23-951077 INFO Validating lr scheduler arguments...

17:35:23-955081 INFO Validating optimizer arguments...

17:35:23-957079 INFO Validating D:/AI/ai_trainning/log existence and writability... SUCCESS

17:35:23-958080 INFO Validating D:/AI/ai_trainning/model existence and writability... SUCCESS

17:35:23-960079 INFO Validating C:/Users/VIC/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors existence... SUCCESS

17:35:23-961079 INFO Validating D:/AI/ai_trainning/Image existence... SUCCESS

17:35:23-963078 INFO Folder 50_brzkdlxh: 50 repeats found

17:35:23-964184 INFO Folder 50_brzkdlxh: 347 images found

17:35:23-965186 INFO Folder 50_brzkdlxh: 347 * 50 = 17350 steps

17:35:23-966187 INFO Regulatization factor: 1

17:35:23-967186 INFO Total steps: 17350

17:35:23-968186 INFO Train batch size: 2

17:35:23-969186 INFO Gradient accumulation steps: 1

17:35:23-970186 INFO Epoch: 1

17:35:23-971186 INFO max_train_steps (17350 / 2 / 1 * 1 * 1) = 8675

17:35:23-972186 INFO lr_warmup_steps = 0

17:35:23-976401 INFO Saving training config to D:/AI/ai_trainning/model\br_style_test_v01_20241209-173523.json...

17:35:23-978401 INFO Executing command: D:\AI\Kohya\kohya_ss\venv\Scripts\accelerate.EXE launch --dynamo_backend no --dynamo_mode default --mixed_precision bf16 --num_processes 1 --num_machines 1 --num_cpu_threads_per_process 2

D:/AI/Kohya/kohya_ss/sd-scripts/sdxl_train.py --config_file D:/AI/ai_trainning/model/config_dreambooth-20241209-173523.toml --log_prefix=xl-loha

17:35:23-998400 INFO Command executed.

2024-12-09 17:35:31 INFO Loading settings from D:/AI/ai_trainning/model/config_dreambooth-20241209-173523.toml... train_util.py:4174

INFO D:/AI/ai_trainning/model/config_dreambooth-20241209-173523 train_util.py:4193

WARNING clip_skip will be unexpected / SDXL学習ではclip_skipは動作しません sdxl_train_util.py:352

2024-12-09 17:35:31 INFO prepare tokenizers sdxl_train_util.py:138

2024-12-09 17:35:32 INFO update token length: 75 sdxl_train_util.py:163

INFO Using DreamBooth method. sdxl_train.py:144

INFO prepare images. train_util.py:1815

INFO found directory D:\AI\ai_trainning\Image\50_brzkdlxh contains 347 image files train_util.py:1762

INFO 17350 train images with repeating. train_util.py:1856

INFO 0 reg images. train_util.py:1859

WARNING no regularization images / 正則化画像が見つかりませんでした train_util.py:1864

INFO [Dataset 0] config_util.py:572

batch_size: 2

resolution: (1024, 1024)

enable_bucket: True

network_multiplier: 1.0

min_bucket_reso: 64

max_bucket_reso: 2048

bucket_reso_steps: 32

bucket_no_upscale: True

[Subset 0 of Dataset 0]

image_dir: "D:\AI\ai_trainning\Image\50_brzkdlxh"

image_count: 347

num_repeats: 50

shuffle_caption: False

keep_tokens: 1

keep_tokens_separator:

caption_separator: ,

secondary_separator: None

enable_wildcard: False

caption_dropout_rate: 0.0

caption_dropout_every_n_epoches: 0

caption_tag_dropout_rate: 0.0

caption_prefix: None

caption_suffix: None

color_aug: False

flip_aug: False

face_crop_aug_range: None

random_crop: False

token_warmup_min: 1,

token_warmup_step: 0,

alpha_mask: False,

is_reg: False

class_tokens: brzkdlxh

caption_extension: .txt

INFO [Dataset 0] config_util.py:578

INFO loading image sizes. train_util.py:911

100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 347/347 [00:00<00:00, 26692.77it/s]

INFO make buckets train_util.py:917

WARNING min_bucket_reso and max_bucket_reso are ignored if bucket_no_upscale is set, because bucket reso is defined by image size automatically / train_util.py:934

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

INFO number of images (including repeats) / 各bucketの画像枚数（繰り返し回数を含む） train_util.py:963

INFO bucket 0: resolution (768, 1024), count: 3350 train_util.py:968

INFO bucket 1: resolution (1024, 1024), count: 14000 train_util.py:968

INFO mean ar error (without repeats): 0.0 train_util.py:973

INFO prepare accelerator sdxl_train.py:201

accelerator device: cuda

INFO loading model for process 0/1 sdxl_train_util.py:33

INFO load StableDiffusion checkpoint: C:/Users/VIC/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors sdxl_train_util.py:74

INFO building U-Net sdxl_model_util.py:198

INFO loading U-Net from checkpoint sdxl_model_util.py:202

Traceback (most recent call last):

File "D:\AI\Kohya\kohya_ss\sd-scripts\sdxl_train.py", line 948, in <module>

train(args)

File "D:\AI\Kohya\kohya_ss\sd-scripts\sdxl_train.py", line 217, in train

) = sdxl_train_util.load_target_model(args, accelerator, "sdxl", weight_dtype)

File "D:\AI\Kohya\kohya_ss\sd-scripts\library\sdxl_train_util.py", line 43, in load_target_model

) = _load_target_model(

File "D:\AI\Kohya\kohya_ss\sd-scripts\library\sdxl_train_util.py", line 82, in _load_target_model

) = sdxl_model_util.load_models_from_sdxl_checkpoint(model_version, name_or_path, device, model_dtype, disable_mmap)

File "D:\AI\Kohya\kohya_ss\sd-scripts\library\sdxl_model_util.py", line 207, in load_models_from_sdxl_checkpoint

info = _load_state_dict_on_device(unet, unet_sd, device=map_location, dtype=dtype)

File "D:\AI\Kohya\kohya_ss\sd-scripts\library\sdxl_model_util.py", line 166, in _load_state_dict_on_device

raise RuntimeError("Error(s) in loading state_dict for {}:\n\t{}".format(model.__class__.__name__, "\n\t".join(error_msgs)))

RuntimeError: Error(s) in loading state_dict for SdxlUNet2DConditionModel:

Unexpected key(s) in state_dict: "input_blocks.11.0.out_layers.0.weight", "output_blocks.11.1.transformer_blocks.0.ff.net.2.bias", "input_blocks.2.1.norm.bias", "output_blocks.9.1.transformer_blocks.0.norm3.weight", "output_blocks.8.1.transformer_blocks.0.attn2.to_out.0.bias", "output_blocks.8.1.proj_in.bias", "output_blocks.7.1.transformer_blocks.0.ff.net.0.proj.bias", "output_blocks.11.1.transformer_blocks.0.attn2.to_k.weight", "input_blocks.10.0.emb_layers.1.weight", "input_blocks.1.1.proj_in.weight", "output_blocks.10.1.transformer_blocks.0.attn1.to_out.0.bias", "output_blocks.9.1.transformer_blocks.0.norm3.bias", "output_blocks.10.1.transformer_blocks.0.attn2.to_v.weight", "input_blocks.1.1.transformer_blocks.0.norm1.weight", "input_blocks.10.0.in_layers.2.weight", "output_blocks.10.1.transformer_blocks.0.attn2.to_k.weight", "output_blocks.10.0.in_layers.2.weight", "output_blocks.11.1.transformer_blocks.0.norm1.weight", "output_blocks.7.1.transformer_blocks.0.attn1.to_v.weight", 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Traceback (most recent call last):

File "C:\Program Files\Python310\lib\runpy.py", line 196, in _run_module_as_main

return _run_code(code, main_globals, None,

File "C:\Program Files\Python310\lib\runpy.py", line 86, in _run_code

exec(code, run_globals)

File "D:\AI\Kohya\kohya_ss\venv\Scripts\accelerate.EXE\__main__.py", line 7, in <module>

sys.exit(main())

File "D:\AI\Kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 47, in main

args.func(args)

File "D:\AI\Kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1017, in launch_command

simple_launcher(args)

File "D:\AI\Kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 637, in simple_launcher

raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)

subprocess.CalledProcessError: Command '['D:\\AI\\Kohya\\kohya_ss\\venv\\Scripts\\python.exe', 'D:/AI/Kohya/kohya_ss/sd-scripts/sdxl_train.py', '--config_file', 'D:/AI/ai_trainning/model/config_dreambooth-20241209-173523.toml', '--log_prefix=xl-loha']' returned non-zero exit status 1.

17:35:34-263774 INFO Training has ended.

댓글 [3]

톰보이사랑꾼

2024-12-09 08:51:56

로그 분석
버킷 정보:
bucket 0: 해상도 (768, 1024), 이미지 개수: 3350
bucket 1: 해상도 (1024, 1024), 이미지 개수: 14000
평균 비율 오류(mean ar error): 0.0
모델 로드:
Stable Diffusion 체크포인트 파일 경로: C:/Users/VIC/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
U-Net 구조를 체크포인트에서 로드 시도 중.
오류 발생:
RuntimeError: U-Net 모델의 state_dict를 로드하는 과정에서 예상치 못한 키와 누락된 키가 발견됨.
Unexpected key(s): 체크포인트에 포함되어 있으나 모델에 존재하지 않는 키들.
Missing key(s): 모델에서 필요로 하지만 체크포인트에 없는 키들.
오류 원인
이 오류는 주로 다음과 같은 이유로 발생할 수 있습니다:
체크포인트와 모델 구조 불일치: 사용 중인 Stable Diffusion 체크포인트가 현재 학습 또는 추론에 사용되는 U-Net 모델 구조와 호환되지 않음.
체크포인트 손상: 체크포인트 파일이 손상되었거나 잘못 저장됨.
버전 차이: Stable Diffusion 모델 버전(예: v1.5)과 사용 중인 코드베이스가 서로 다른 구조를 지원할 가능성.
해결 방법
체크포인트 확인:
사용 중인 v1-5-pruned-emaonly.safetensors 파일이 올바른지 확인.
동일한 버전의 공식 소스에서 다시 다운로드.
모델 코드 확인:
현재 사용하는 코드베이스가 Stable Diffusion v1.5와 호환되는지 확인.
필요한 경우, 최신 Stable Diffusion 코드베이스를 가져오거나 적절히 수정.
키 맵핑 수정:
state_dict의 키를 수동으로 매핑하거나, 불필요한 키를 제거하고 누락된 키를 추가하여 수정.
환경 설정 점검:
PyTorch 및 관련 라이브러리 버전이 요구사항에 맞는지 확인.
CUDA 및 GPU 드라이버가 올바르게 설치되었는지 점검.
디버깅:
오류 메시지에 나열된 키들을 기준으로 문제를 상세히 분석하여, 모델과 체크포인트 간의 차이를 해결.
위 방법을 통해 문제를 해결할 수 있습니다.

펼쳐보기▼

톰보이사랑꾼

2024-12-09 08:52:40

솔직히 이런오류는 질문전에 ai한번돌려봐도 대충 알정도는알려줌

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몬TDAI

2024-12-09 09:03:21

주딱이 드림부스 세팅을 공유한적이 있었나?
드림부스로 시작했는지 로라로 시작했는지 확인해바

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