| The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`. | |
| Running 1 job | |
| 0it [00:00, ?it/s] 0it [00:00, ?it/s] | |
| /usr/local/lib/python3.10/dist-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 1.4.21 (you have 1.4.15). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. | |
| check_for_updates() | |
| /usr/local/lib/python3.10/dist-packages/controlnet_aux/mediapipe_face/mediapipe_face_common.py:7: UserWarning: The module 'mediapipe' is not installed. The package will have limited functionality. Please install it using the command: pip install 'mediapipe' | |
| warnings.warn( | |
| /usr/local/lib/python3.10/dist-packages/timm/models/layers/__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers | |
| warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) | |
| /usr/local/lib/python3.10/dist-packages/timm/models/registry.py:4: FutureWarning: Importing from timm.models.registry is deprecated, please import via timm.models | |
| warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.models", FutureWarning) | |
| /usr/local/lib/python3.10/dist-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_5m_224 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_5m_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. | |
| return register_model(fn_wrapper) | |
| /usr/local/lib/python3.10/dist-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_11m_224 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_11m_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. | |
| return register_model(fn_wrapper) | |
| /usr/local/lib/python3.10/dist-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_21m_224 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_21m_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. | |
| return register_model(fn_wrapper) | |
| /usr/local/lib/python3.10/dist-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_21m_384 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_21m_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. | |
| return register_model(fn_wrapper) | |
| /usr/local/lib/python3.10/dist-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_21m_512 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_21m_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. | |
| return register_model(fn_wrapper) | |
| /workspace/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py:61: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. | |
| self.scaler = torch.cuda.amp.GradScaler() | |
| You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers | |
| { | |
| "type": "sd_trainer", | |
| "training_folder": "output", | |
| "device": "cuda:0", | |
| "network": { | |
| "type": "lora", | |
| "linear": 16, | |
| "linear_alpha": 16 | |
| }, | |
| "save": { | |
| "dtype": "float16", | |
| "save_every": 400, | |
| "max_step_saves_to_keep": 4, | |
| "push_to_hub": false | |
| }, | |
| "datasets": [ | |
| { | |
| "folder_path": "/workspace/ai-toolkit/images", | |
| "caption_ext": "txt", | |
| "caption_dropout_rate": 0.05, | |
| "shuffle_tokens": false, | |
| "cache_latents_to_disk": true, | |
| "resolution": [ | |
| 512, | |
| 768, | |
| 1024 | |
| ] | |
| } | |
| ], | |
| "train": { | |
| "batch_size": 1, | |
| "steps": 2000, | |
| "gradient_accumulation_steps": 1, | |
| "train_unet": true, | |
| "train_text_encoder": false, | |
| "gradient_checkpointing": true, | |
| "noise_scheduler": "flowmatch", | |
| "optimizer": "adamw8bit", | |
| "lr": 0.0004, | |
| "ema_config": { | |
| "use_ema": true, | |
| "ema_decay": 0.99 | |
| }, | |
| "dtype": "bf16" | |
| }, | |
| "model": { | |
| "name_or_path": "black-forest-labs/FLUX.1-dev", | |
| "is_flux": true, | |
| "quantize": true | |
| }, | |
| "sample": { | |
| "sampler": "flowmatch", | |
| "sample_every": 400, | |
| "width": 1024, | |
| "height": 1024, | |
| "prompts": [ | |
| "Photo of p3r5on holding a sign that says 'I LOVE PROMPTS!'", | |
| "Professional headshot of p3r5on in a business suit.", | |
| "A happy pilot p3r5on of a Boeing 747.", | |
| "A doctor p3r5on talking to a patient.", | |
| "A chef p3r5on in the middle of a bustling kitchen, plating a beautifully arranged dish.", | |
| "A young p3r5on with a big grin, holding a large ice cream cone in front of an old-fashioned ice cream parlor.", | |
| "A person p3r5on in a tuxedo, looking directly into the camera with a confident smile, standing on a red carpet at a gala event.", | |
| "Person p3r5on with a bitchin' 80's mullet hairstyle leaning out the window of a pontiac firebird" | |
| ], | |
| "neg": "", | |
| "seed": 42, | |
| "walk_seed": true, | |
| "guidance_scale": 4, | |
| "sample_steps": 20 | |
| }, | |
| "trigger_word": "p3r5on" | |
| } | |
| Using EMA | |
| ############################################# | |
| # Running job: my_first_flux_lora_v1 | |
| ############################################# | |
| Running 1 process | |
| Loading Flux model | |
| Loading transformer | |
| Quantizing transformer | |
| Loading vae | |
| Loading t5 | |
| Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:06<00:06, 6.50s/it] Downloading shards: 100%|██████████| 2/2 [00:12<00:00, 6.13s/it] Downloading shards: 100%|██████████| 2/2 [00:12<00:00, 6.19s/it] | |
| Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 4.63it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 5.11it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 5.03it/s] | |
| Quantizing T5 | |
| Loading clip | |
| making pipe | |
| preparing | |
| create LoRA network. base dim (rank): 16, alpha: 16 | |
| neuron dropout: p=None, rank dropout: p=None, module dropout: p=None | |
| create LoRA for Text Encoder: 0 modules. | |
| create LoRA for U-Net: 494 modules. | |
| enable LoRA for U-Net | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/20 [00:00<?, ?it/s] 45%|████▌ | 9/20 [00:00<00:00, 79.49it/s] 85%|████████▌ | 17/20 [00:00<00:00, 64.57it/s] 100%|██████████| 20/20 [00:00<00:00, 66.41it/s] | |
| - Found 20 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 512x512: 3 files | |
| 640x320: 3 files | |
| 768x320: 1 files | |
| 576x448: 2 files | |
| 512x448: 3 files | |
| 640x384: 6 files | |
| 576x384: 2 files | |
| 7 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/20 [00:00<?, ?it/s] Caching latents to disk: 5%|▌ | 1/20 [00:00<00:05, 3.28it/s] Caching latents to disk: 20%|██ | 4/20 [00:00<00:01, 10.81it/s] Caching latents to disk: 35%|███▌ | 7/20 [00:00<00:00, 15.34it/s] Caching latents to disk: 45%|████▌ | 9/20 [00:00<00:00, 16.03it/s] Caching latents to disk: 60%|██████ | 12/20 [00:00<00:00, 17.81it/s] Caching latents to disk: 70%|███████ | 14/20 [00:00<00:00, 16.57it/s] Caching latents to disk: 80%|████████ | 16/20 [00:01<00:00, 16.20it/s] Caching latents to disk: 90%|█████████ | 18/20 [00:01<00:00, 16.78it/s] Caching latents to disk: 100%|██████████| 20/20 [00:01<00:00, 16.49it/s] Caching latents to disk: 100%|██████████| 20/20 [00:01<00:00, 15.13it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/20 [00:00<?, ?it/s] 100%|██████████| 20/20 [00:00<00:00, 71392.41it/s] | |
| - Found 20 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 704x704: 1 files | |
| 1024x512: 2 files | |
| 1152x448: 1 files | |
| 576x448: 2 files | |
| 512x448: 1 files | |
| 960x512: 2 files | |
| 896x576: 3 files | |
| 768x512: 1 files | |
| 960x576: 3 files | |
| 768x640: 2 files | |
| 768x768: 2 files | |
| 11 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/20 [00:00<?, ?it/s] Caching latents to disk: 10%|█ | 2/20 [00:00<00:01, 14.56it/s] Caching latents to disk: 35%|███▌ | 7/20 [00:00<00:00, 26.31it/s] Caching latents to disk: 50%|█████ | 10/20 [00:00<00:00, 19.99it/s] Caching latents to disk: 65%|██████▌ | 13/20 [00:00<00:00, 16.19it/s] Caching latents to disk: 75%|███████▌ | 15/20 [00:00<00:00, 14.47it/s] Caching latents to disk: 85%|████████▌ | 17/20 [00:01<00:00, 13.56it/s] Caching latents to disk: 95%|█████████▌| 19/20 [00:01<00:00, 13.09it/s] Caching latents to disk: 100%|██████████| 20/20 [00:01<00:00, 14.79it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/20 [00:00<?, ?it/s] 100%|██████████| 20/20 [00:00<00:00, 57182.06it/s] | |
| - Found 20 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 704x704: 1 files | |
| 1408x704: 2 files | |
| 1600x640: 1 files | |
| 576x448: 2 files | |
| 512x448: 1 files | |
| 1344x768: 1 files | |
| 1280x768: 5 files | |
| 1344x704: 1 files | |
| 768x512: 1 files | |
| 1216x832: 1 files | |
| 1088x896: 2 files | |
| 1024x1024: 2 files | |
| 12 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/20 [00:00<?, ?it/s] Caching latents to disk: 10%|█ | 2/20 [00:00<00:01, 15.40it/s] Caching latents to disk: 20%|██ | 4/20 [00:00<00:00, 17.03it/s] Caching latents to disk: 35%|███▌ | 7/20 [00:00<00:00, 20.62it/s] Caching latents to disk: 50%|█████ | 10/20 [00:00<00:00, 16.21it/s] Caching latents to disk: 60%|██████ | 12/20 [00:00<00:00, 12.77it/s] Caching latents to disk: 70%|███████ | 14/20 [00:01<00:00, 11.07it/s] Caching latents to disk: 80%|████████ | 16/20 [00:01<00:00, 9.80it/s] Caching latents to disk: 90%|█████████ | 18/20 [00:01<00:00, 9.33it/s] Caching latents to disk: 100%|██████████| 20/20 [00:01<00:00, 8.78it/s] Caching latents to disk: 100%|██████████| 20/20 [00:01<00:00, 10.97it/s] | |
| Generating baseline samples before training | |
| Generating Images: 0%| | 0/8 [00:00<?, ?it/s] Generating Images: 12%|█▎ | 1/8 [00:13<01:36, 13.84s/it] Generating Images: 25%|██▌ | 2/8 [00:27<01:22, 13.81s/it] Generating Images: 38%|███▊ | 3/8 [00:41<01:09, 13.83s/it] Generating Images: 50%|█████ | 4/8 [00:55<00:55, 13.85s/it] Generating Images: 62%|██████▎ | 5/8 [01:09<00:41, 13.88s/it] Generating Images: 75%|███████▌ | 6/8 [01:23<00:27, 13.89s/it] Generating Images: 88%|████████▊ | 7/8 [01:37<00:13, 13.91s/it] Generating Images: 100%|██████████| 8/8 [01:51<00:00, 13.93s/it] my_first_flux_lora_v1: 0%| | 0/2000 [00:00<?, ?it/s] my_first_flux_lora_v1: 0%| | 0/2000 [00:01<?, ?it/s, lr: 4.0e-04 loss: 2.835e-01] my_first_flux_lora_v1: 0%| | 0/2000 [00:01<?, ?it/s, lr: 4.0e-04 loss: 2.835e-01] my_first_flux_lora_v1: 0%| | 0/2000 [00:03<?, ?it/s, lr: 4.0e-04 loss: 2.602e-01] my_first_flux_lora_v1: 0%| | 1/2000 [00:03<51:10, 1.54s/it, lr: 4.0e-04 loss: 2.602e-01] my_first_flux_lora_v1: 0%| | 1/2000 [00:05<51:10, 1.54s/it, lr: 4.0e-04 loss: 3.900e-01] my_first_flux_lora_v1: 0%| | 2/2000 [00:05<1:05:04, 1.95s/it, lr: 4.0e-04 loss: 3.900e-01] my_first_flux_lora_v1: 0%| | 2/2000 [00:07<1:05:04, 1.95s/it, lr: 4.0e-04 loss: 4.022e-01] my_first_flux_lora_v1: 0%| | 3/2000 [00:07<1:09:30, 2.09s/it, lr: 4.0e-04 loss: 4.022e-01] my_first_flux_lora_v1: 0%| | 3/2000 [00:10<1:09:30, 2.09s/it, lr: 4.0e-04 loss: 2.448e-01] my_first_flux_lora_v1: 0%| | 4/2000 [00:10<1:11:35, 2.15s/it, lr: 4.0e-04 loss: 2.448e-01] my_first_flux_lora_v1: 0%| | 4/2000 [00:11<1:11:35, 2.15s/it, lr: 4.0e-04 loss: 3.008e-01] my_first_flux_lora_v1: 0%| | 5/2000 [00:11<57:40, 1.73s/it, lr: 4.0e-04 loss: 3.008e-01] my_first_flux_lora_v1: 0%| | 5/2000 [00:12<57:40, 1.73s/it, lr: 4.0e-04 loss: 2.639e-01] my_first_flux_lora_v1: 0%| | 6/2000 [00:12<54:55, 1.65s/it, lr: 4.0e-04 loss: 2.639e-01] my_first_flux_lora_v1: 0%| | 6/2000 [00:14<54:55, 1.65s/it, lr: 4.0e-04 loss: 2.877e-01] my_first_flux_lora_v1: 0%| | 7/2000 [00:14<1:01:18, 1.85s/it, lr: 4.0e-04 loss: 2.877e-01] my_first_flux_lora_v1: 0%| | 7/2000 [00:15<1:01:18, 1.85s/it, lr: 4.0e-04 loss: 4.799e-01] my_first_flux_lora_v1: 0%| | 8/2000 [00:15<52:16, 1.57s/it, lr: 4.0e-04 loss: 4.799e-01] my_first_flux_lora_v1: 0%| | 8/2000 [00:16<52:16, 1.57s/it, lr: 4.0e-04 loss: 2.723e-01] my_first_flux_lora_v1: 0%| | 9/2000 [00:16<46:05, 1.39s/it, lr: 4.0e-04 loss: 2.723e-01] my_first_flux_lora_v1: 0%| | 9/2000 [00:17<46:05, 1.39s/it, lr: 4.0e-04 loss: 3.812e-01] my_first_flux_lora_v1: 0%| | 10/2000 [00:17<41:53, 1.26s/it, lr: 4.0e-04 loss: 3.812e-01] my_first_flux_lora_v1: 0%| | 10/2000 [00:19<41:53, 1.26s/it, lr: 4.0e-04 loss: 2.761e-01] my_first_flux_lora_v1: 1%| | 11/2000 [00:19<42:52, 1.29s/it, lr: 4.0e-04 loss: 2.761e-01] my_first_flux_lora_v1: 1%| | 11/2000 [00:20<42:52, 1.29s/it, lr: 4.0e-04 loss: 4.186e-01] my_first_flux_lora_v1: 1%| | 12/2000 [00:20<45:44, 1.38s/it, lr: 4.0e-04 loss: 4.186e-01] my_first_flux_lora_v1: 1%| | 12/2000 [00:21<45:44, 1.38s/it, lr: 4.0e-04 loss: 3.039e-01] 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| Saved to output/my_first_flux_lora_v1/optimizer.pt | |
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| Saved to output/my_first_flux_lora_v1/optimizer.pt | |
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