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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: 1.4.23 (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": 500,
"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": 500,
"width": 1024,
"height": 1024,
"prompts": [
"Photo of xtinanow holding a sign that says 'I LOVE PROMPTS!'",
"Professional headshot of xtinanow in a business suit.",
"A happy pilot xtinanow of a Boeing 747.",
"A doctor xtinanow talking to a patient.",
"A chef xtinanow in the middle of a bustling kitchen, plating a beautifully arranged dish.",
"A young xtinanow with a big grin, holding a large ice cream cone in front of an old-fashioned ice cream parlor.",
"A person xtinanow in a tuxedo, looking directly into the camera with a confident smile, standing on a red carpet at a gala event.",
"Person xtinanow 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": "xtinanow"
}
Using EMA
#############################################
# Running job: my_first_flux_lora_v1
#############################################
Running 1 process
Loading Flux model
Loading transformer
Quantizing transformer
Loading vae
Loading t5
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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
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- Found 40 images
Bucket sizes for /workspace/ai-toolkit/images:
448x576: 25 files
384x640: 2 files
576x448: 3 files
512x512: 2 files
320x704: 1 files
384x576: 5 files
448x512: 2 files
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Dataset: /workspace/ai-toolkit/images
- Preprocessing image dimensions
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- Found 40 images
Bucket sizes for /workspace/ai-toolkit/images:
640x768: 25 files
576x960: 2 files
832x640: 3 files
768x768: 2 files
448x896: 1 files
576x832: 5 files
640x832: 2 files
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Dataset: /workspace/ai-toolkit/images
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- Found 40 images
Bucket sizes for /workspace/ai-toolkit/images:
896x1088: 24 files
768x1344: 2 files
704x896: 1 files
1088x896: 1 files
1024x1024: 2 files
1152x832: 2 files
448x896: 1 files
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832x1216: 4 files
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Generating baseline samples before training
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my_first_flux_lora_v1: 1%| | 15/2000 [00:24<47:20, 1.43s/it, lr: 4.0e-04 loss: 3.955e-01]
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my_first_flux_lora_v1: 1%| | 19/2000 [00:29<51:48, 1.57s/it, lr: 4.0e-04 loss: 4.537e-01]
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my_first_flux_lora_v1: 1%| | 20/2000 [00:31<45:03, 1.37s/it, lr: 4.0e-04 loss: 6.396e-01]
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my_first_flux_lora_v1: 1%| | 21/2000 [00:31<43:46, 1.33s/it, lr: 4.0e-04 loss: 4.239e-01]
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my_first_flux_lora_v1: 1%|▏ | 25/2000 [00:35<45:05, 1.37s/it, lr: 4.0e-04 loss: 6.330e-01]
my_first_flux_lora_v1: 1%|▏ | 25/2000 [00:36<45:05, 1.37s/it, lr: 4.0e-04 loss: 4.295e-01]
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my_first_flux_lora_v1: 1%|▏ | 26/2000 [00:37<40:26, 1.23s/it, lr: 4.0e-04 loss: 6.133e-01]
my_first_flux_lora_v1: 1%|▏ | 27/2000 [00:37<39:24, 1.20s/it, lr: 4.0e-04 loss: 6.133e-01]
my_first_flux_lora_v1: 1%|▏ | 27/2000 [00:38<39:24, 1.20s/it, lr: 4.0e-04 loss: 5.730e-01]
my_first_flux_lora_v1: 1%|▏ | 28/2000 [00:38<36:22, 1.11s/it, lr: 4.0e-04 loss: 5.730e-01]
my_first_flux_lora_v1: 1%|▏ | 28/2000 [00:39<36:22, 1.11s/it, lr: 4.0e-04 loss: 6.274e-01]
my_first_flux_lora_v1: 1%|▏ | 29/2000 [00:39<34:13, 1.04s/it, lr: 4.0e-04 loss: 6.274e-01]
my_first_flux_lora_v1: 1%|▏ | 29/2000 [00:40<34:13, 1.04s/it, lr: 4.0e-04 loss: 4.034e-01]
my_first_flux_lora_v1: 2%|▏ | 30/2000 [00:40<34:25, 1.05s/it, lr: 4.0e-04 loss: 4.034e-01]
my_first_flux_lora_v1: 2%|▏ | 30/2000 [00:42<34:25, 1.05s/it, lr: 4.0e-04 loss: 2.805e-01]
my_first_flux_lora_v1: 2%|▏ | 31/2000 [00:42<37:00, 1.13s/it, lr: 4.0e-04 loss: 2.805e-01]
my_first_flux_lora_v1: 2%|▏ | 31/2000 [00:43<37:00, 1.13s/it, lr: 4.0e-04 loss: 3.949e-01]
my_first_flux_lora_v1: 2%|▏ | 32/2000 [00:43<38:44, 1.18s/it, lr: 4.0e-04 loss: 3.949e-01]
my_first_flux_lora_v1: 2%|▏ | 32/2000 [00:45<38:44, 1.18s/it, lr: 4.0e-04 loss: 5.073e-01]
my_first_flux_lora_v1: 2%|▏ | 33/2000 [00:45<47:07, 1.44s/it, lr: 4.0e-04 loss: 5.073e-01]
my_first_flux_lora_v1: 2%|▏ | 33/2000 [00:46<47:07, 1.44s/it, lr: 4.0e-04 loss: 5.898e-01]
my_first_flux_lora_v1: 2%|▏ | 34/2000 [00:46<45:39, 1.39s/it, lr: 4.0e-04 loss: 5.898e-01]
my_first_flux_lora_v1: 2%|▏ | 34/2000 [00:47<45:39, 1.39s/it, lr: 4.0e-04 loss: 4.073e-01]
my_first_flux_lora_v1: 2%|▏ | 35/2000 [00:47<40:16, 1.23s/it, lr: 4.0e-04 loss: 4.073e-01]
my_first_flux_lora_v1: 2%|▏ | 35/2000 [00:49<40:16, 1.23s/it, lr: 4.0e-04 loss: 3.546e-01]
my_first_flux_lora_v1: 2%|▏ | 36/2000 [00:49<48:53, 1.49s/it, lr: 4.0e-04 loss: 3.546e-01]
my_first_flux_lora_v1: 2%|▏ | 36/2000 [00:50<48:53, 1.49s/it, lr: 4.0e-04 loss: 4.644e-01]
my_first_flux_lora_v1: 2%|▏ | 37/2000 [00:50<42:59, 1.31s/it, lr: 4.0e-04 loss: 4.644e-01]
my_first_flux_lora_v1: 2%|▏ | 37/2000 [00:51<42:59, 1.31s/it, lr: 4.0e-04 loss: 3.905e-01]
my_first_flux_lora_v1: 2%|▏ | 38/2000 [00:51<42:12, 1.29s/it, lr: 4.0e-04 loss: 3.905e-01]
my_first_flux_lora_v1: 2%|▏ | 38/2000 [00:53<42:12, 1.29s/it, lr: 4.0e-04 loss: 3.428e-01]
my_first_flux_lora_v1: 2%|▏ | 39/2000 [00:53<41:39, 1.27s/it, lr: 4.0e-04 loss: 3.428e-01]
my_first_flux_lora_v1: 2%|▏ | 39/2000 [00:54<41:39, 1.27s/it, lr: 4.0e-04 loss: 6.195e-01]
my_first_flux_lora_v1: 2%|▏ | 40/2000 [00:54<41:14, 1.26s/it, lr: 4.0e-04 loss: 6.195e-01]
my_first_flux_lora_v1: 2%|▏ | 40/2000 [00:55<41:14, 1.26s/it, lr: 4.0e-04 loss: 5.067e-01]
my_first_flux_lora_v1: 2%|▏ | 41/2000 [00:55<40:57, 1.25s/it, lr: 4.0e-04 loss: 5.067e-01]
my_first_flux_lora_v1: 2%|▏ | 41/2000 [00:56<40:57, 1.25s/it, lr: 4.0e-04 loss: 6.221e-01]
my_first_flux_lora_v1: 2%|▏ | 42/2000 [00:56<39:14, 1.20s/it, lr: 4.0e-04 loss: 6.221e-01]
my_first_flux_lora_v1: 2%|▏ | 42/2000 [00:58<39:14, 1.20s/it, lr: 4.0e-04 loss: 3.747e-01]
my_first_flux_lora_v1: 2%|▏ | 43/2000 [00:58<47:29, 1.46s/it, lr: 4.0e-04 loss: 3.747e-01]
my_first_flux_lora_v1: 2%|▏ | 43/2000 [00:59<47:29, 1.46s/it, lr: 4.0e-04 loss: 4.105e-01]
my_first_flux_lora_v1: 2%|▏ | 44/2000 [00:59<42:01, 1.29s/it, lr: 4.0e-04 loss: 4.105e-01]
my_first_flux_lora_v1: 2%|▏ | 44/2000 [01:01<42:01, 1.29s/it, lr: 4.0e-04 loss: 4.993e-01]
my_first_flux_lora_v1: 2%|▏ | 45/2000 [01:01<50:04, 1.54s/it, lr: 4.0e-04 loss: 4.993e-01]
my_first_flux_lora_v1: 2%|▏ | 45/2000 [01:03<50:04, 1.54s/it, lr: 4.0e-04 loss: 3.269e-01]
my_first_flux_lora_v1: 2%|▏ | 46/2000 [01:03<55:52, 1.72s/it, lr: 4.0e-04 loss: 3.269e-01]
my_first_flux_lora_v1: 2%|▏ | 46/2000 [01:04<55:52, 1.72s/it, lr: 4.0e-04 loss: 3.524e-01]
my_first_flux_lora_v1: 2%|▏ | 47/2000 [01:04<47:48, 1.47s/it, lr: 4.0e-04 loss: 3.524e-01]
my_first_flux_lora_v1: 2%|▏ | 47/2000 [01:06<47:48, 1.47s/it, lr: 4.0e-04 loss: 4.513e-01]
my_first_flux_lora_v1: 2%|▏ | 48/2000 [01:06<46:39, 1.43s/it, lr: 4.0e-04 loss: 4.513e-01]
my_first_flux_lora_v1: 2%|▏ | 48/2000 [01:06<46:39, 1.43s/it, lr: 4.0e-04 loss: 2.653e-01]
my_first_flux_lora_v1: 2%|▏ | 49/2000 [01:06<41:24, 1.27s/it, lr: 4.0e-04 loss: 2.653e-01]
my_first_flux_lora_v1: 2%|▏ | 49/2000 [01:07<41:24, 1.27s/it, lr: 4.0e-04 loss: 4.432e-01]
my_first_flux_lora_v1: 2%|▎ | 50/2000 [01:07<37:42, 1.16s/it, lr: 4.0e-04 loss: 4.432e-01]
my_first_flux_lora_v1: 2%|▎ | 50/2000 [01:09<37:42, 1.16s/it, lr: 4.0e-04 loss: 2.881e-01]
my_first_flux_lora_v1: 3%|▎ | 51/2000 [01:09<46:20, 1.43s/it, lr: 4.0e-04 loss: 2.881e-01]
my_first_flux_lora_v1: 3%|▎ | 51/2000 [01:10<46:20, 1.43s/it, lr: 4.0e-04 loss: 5.258e-01]
my_first_flux_lora_v1: 3%|▎ | 52/2000 [01:10<41:09, 1.27s/it, lr: 4.0e-04 loss: 5.258e-01]
my_first_flux_lora_v1: 3%|▎ | 52/2000 [01:12<41:09, 1.27s/it, lr: 4.0e-04 loss: 3.973e-01]
my_first_flux_lora_v1: 3%|▎ | 53/2000 [01:12<48:45, 1.50s/it, lr: 4.0e-04 loss: 3.973e-01]
my_first_flux_lora_v1: 3%|▎ | 53/2000 [01:14<48:45, 1.50s/it, lr: 4.0e-04 loss: 2.786e-01]
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my_first_flux_lora_v1: 3%|▎ | 54/2000 [01:15<47:57, 1.48s/it, lr: 4.0e-04 loss: 6.717e-01]
my_first_flux_lora_v1: 3%|▎ | 55/2000 [01:15<45:34, 1.41s/it, lr: 4.0e-04 loss: 6.717e-01]
my_first_flux_lora_v1: 3%|▎ | 55/2000 [01:16<45:34, 1.41s/it, lr: 4.0e-04 loss: 6.110e-01]
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my_first_flux_lora_v1: 3%|▎ | 56/2000 [01:17<40:35, 1.25s/it, lr: 4.0e-04 loss: 5.047e-01]
my_first_flux_lora_v1: 3%|▎ | 57/2000 [01:17<40:20, 1.25s/it, lr: 4.0e-04 loss: 5.047e-01]
my_first_flux_lora_v1: 3%|▎ | 57/2000 [01:19<40:20, 1.25s/it, lr: 4.0e-04 loss: 3.486e-01]
my_first_flux_lora_v1: 3%|▎ | 58/2000 [01:19<48:07, 1.49s/it, lr: 4.0e-04 loss: 3.486e-01]
my_first_flux_lora_v1: 3%|▎ | 58/2000 [01:20<48:07, 1.49s/it, lr: 4.0e-04 loss: 2.863e-01]
my_first_flux_lora_v1: 3%|▎ | 59/2000 [01:20<42:29, 1.31s/it, lr: 4.0e-04 loss: 2.863e-01]
my_first_flux_lora_v1: 3%|▎ | 59/2000 [01:22<42:29, 1.31s/it, lr: 4.0e-04 loss: 3.491e-01]
my_first_flux_lora_v1: 3%|▎ | 60/2000 [01:22<50:35, 1.56s/it, lr: 4.0e-04 loss: 3.491e-01]
my_first_flux_lora_v1: 3%|▎ | 60/2000 [01:23<50:35, 1.56s/it, lr: 4.0e-04 loss: 5.709e-01]
my_first_flux_lora_v1: 3%|▎ | 61/2000 [01:23<44:08, 1.37s/it, lr: 4.0e-04 loss: 5.709e-01]
my_first_flux_lora_v1: 3%|▎ | 61/2000 [01:24<44:08, 1.37s/it, lr: 4.0e-04 loss: 3.332e-01]
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my_first_flux_lora_v1: 3%|▎ | 62/2000 [01:25<39:35, 1.23s/it, lr: 4.0e-04 loss: 4.862e-01]
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my_first_flux_lora_v1: 4%|▍ | 81/2000 [01:52<53:17, 1.67s/it, lr: 4.0e-04 loss: 6.358e-01]
my_first_flux_lora_v1: 4%|▍ | 82/2000 [01:52<56:54, 1.78s/it, lr: 4.0e-04 loss: 6.358e-01]
my_first_flux_lora_v1: 4%|▍ | 82/2000 [01:53<56:54, 1.78s/it, lr: 4.0e-04 loss: 5.838e-01]
my_first_flux_lora_v1: 4%|▍ | 83/2000 [01:53<53:36, 1.68s/it, lr: 4.0e-04 loss: 5.838e-01]
my_first_flux_lora_v1: 4%|▍ | 83/2000 [01:54<53:36, 1.68s/it, lr: 4.0e-04 loss: 5.298e-01]
my_first_flux_lora_v1: 4%|▍ | 84/2000 [01:54<45:39, 1.43s/it, lr: 4.0e-04 loss: 5.298e-01]
my_first_flux_lora_v1: 4%|▍ | 84/2000 [01:56<45:39, 1.43s/it, lr: 4.0e-04 loss: 5.382e-01]
my_first_flux_lora_v1: 4%|▍ | 85/2000 [01:56<51:34, 1.62s/it, lr: 4.0e-04 loss: 5.382e-01]
my_first_flux_lora_v1: 4%|▍ | 85/2000 [01:57<51:34, 1.62s/it, lr: 4.0e-04 loss: 4.060e-01]
my_first_flux_lora_v1: 4%|▍ | 86/2000 [01:57<44:38, 1.40s/it, lr: 4.0e-04 loss: 4.060e-01]
my_first_flux_lora_v1: 4%|▍ | 86/2000 [01:58<44:38, 1.40s/it, lr: 4.0e-04 loss: 5.912e-01]
my_first_flux_lora_v1: 4%|▍ | 87/2000 [01:58<39:19, 1.23s/it, lr: 4.0e-04 loss: 5.912e-01]
my_first_flux_lora_v1: 4%|▍ | 87/2000 [02:00<39:19, 1.23s/it, lr: 4.0e-04 loss: 6.227e-01]
my_first_flux_lora_v1: 4%|▍ | 88/2000 [02:00<47:04, 1.48s/it, lr: 4.0e-04 loss: 6.227e-01]
my_first_flux_lora_v1: 4%|▍ | 88/2000 [02:02<47:04, 1.48s/it, lr: 4.0e-04 loss: 5.043e-01]
my_first_flux_lora_v1: 4%|▍ | 89/2000 [02:02<53:17, 1.67s/it, lr: 4.0e-04 loss: 5.043e-01]
my_first_flux_lora_v1: 4%|▍ | 89/2000 [02:04<53:17, 1.67s/it, lr: 4.0e-04 loss: 3.335e-01]
my_first_flux_lora_v1: 4%|▍ | 90/2000 [02:04<56:55, 1.79s/it, lr: 4.0e-04 loss: 3.335e-01]
my_first_flux_lora_v1: 4%|▍ | 90/2000 [02:05<56:55, 1.79s/it, lr: 4.0e-04 loss: 3.757e-01]
my_first_flux_lora_v1: 5%|▍ | 91/2000 [02:05<47:59, 1.51s/it, lr: 4.0e-04 loss: 3.757e-01]
my_first_flux_lora_v1: 5%|▍ | 91/2000 [02:07<47:59, 1.51s/it, lr: 4.0e-04 loss: 4.490e-01]
my_first_flux_lora_v1: 5%|▍ | 92/2000 [02:07<53:06, 1.67s/it, lr: 4.0e-04 loss: 4.490e-01]
my_first_flux_lora_v1: 5%|▍ | 92/2000 [02:09<53:06, 1.67s/it, lr: 4.0e-04 loss: 4.152e-01]
my_first_flux_lora_v1: 5%|▍ | 93/2000 [02:09<56:40, 1.78s/it, lr: 4.0e-04 loss: 4.152e-01]
my_first_flux_lora_v1: 5%|▍ | 93/2000 [02:10<56:40, 1.78s/it, lr: 4.0e-04 loss: 2.838e-01]
my_first_flux_lora_v1: 5%|▍ | 94/2000 [02:10<51:26, 1.62s/it, lr: 4.0e-04 loss: 2.838e-01]
my_first_flux_lora_v1: 5%|▍ | 94/2000 [02:12<51:26, 1.62s/it, lr: 4.0e-04 loss: 2.697e-01]
my_first_flux_lora_v1: 5%|▍ | 95/2000 [02:12<56:20, 1.77s/it, lr: 4.0e-04 loss: 2.697e-01]
my_first_flux_lora_v1: 5%|▍ | 95/2000 [02:14<56:20, 1.77s/it, lr: 4.0e-04 loss: 3.102e-01]
my_first_flux_lora_v1: 5%|▍ | 96/2000 [02:14<51:18, 1.62s/it, lr: 4.0e-04 loss: 3.102e-01]
my_first_flux_lora_v1: 5%|▍ | 96/2000 [02:16<51:18, 1.62s/it, lr: 4.0e-04 loss: 2.381e-01]
my_first_flux_lora_v1: 5%|▍ | 97/2000 [02:16<55:22, 1.75s/it, lr: 4.0e-04 loss: 2.381e-01]
my_first_flux_lora_v1: 5%|▍ | 97/2000 [02:18<55:22, 1.75s/it, lr: 4.0e-04 loss: 3.881e-01]
my_first_flux_lora_v1: 5%|▍ | 98/2000 [02:18<57:58, 1.83s/it, lr: 4.0e-04 loss: 3.881e-01]
my_first_flux_lora_v1: 5%|▍ | 98/2000 [02:20<57:58, 1.83s/it, lr: 4.0e-04 loss: 6.125e-01]
my_first_flux_lora_v1: 5%|▍ | 99/2000 [02:20<1:00:44, 1.92s/it, lr: 4.0e-04 loss: 6.125e-01]
my_first_flux_lora_v1: 5%|▍ | 99/2000 [02:21<1:00:44, 1.92s/it, lr: 4.0e-04 loss: 3.231e-01]
my_first_flux_lora_v1: 5%|▌ | 100/2000 [02:22<1:00:42, 1.92s/it, lr: 4.0e-04 loss: 4.759e-01]
my_first_flux_lora_v1: 5%|▌ | 101/2000 [02:22<40:24, 1.28s/it, lr: 4.0e-04 loss: 4.759e-01]
my_first_flux_lora_v1: 5%|▌ | 101/2000 [02:23<40:24, 1.28s/it, lr: 4.0e-04 loss: 5.045e-01]
my_first_flux_lora_v1: 5%|▌ | 102/2000 [02:23<40:05, 1.27s/it, lr: 4.0e-04 loss: 5.045e-01]
my_first_flux_lora_v1: 5%|▌ | 102/2000 [02:24<40:05, 1.27s/it, lr: 4.0e-04 loss: 3.518e-01]
my_first_flux_lora_v1: 5%|▌ | 103/2000 [02:24<40:25, 1.28s/it, lr: 4.0e-04 loss: 3.518e-01]
my_first_flux_lora_v1: 5%|▌ | 103/2000 [02:25<40:25, 1.28s/it, lr: 4.0e-04 loss: 5.131e-01]
my_first_flux_lora_v1: 5%|▌ | 104/2000 [02:25<37:12, 1.18s/it, lr: 4.0e-04 loss: 5.131e-01]
my_first_flux_lora_v1: 5%|▌ | 104/2000 [02:27<37:12, 1.18s/it, lr: 4.0e-04 loss: 4.396e-01]
my_first_flux_lora_v1: 5%|▌ | 105/2000 [02:27<44:41, 1.42s/it, lr: 4.0e-04 loss: 4.396e-01]
my_first_flux_lora_v1: 5%|▌ | 105/2000 [02:28<44:41, 1.42s/it, lr: 4.0e-04 loss: 3.857e-01]
my_first_flux_lora_v1: 5%|▌ | 106/2000 [02:28<43:03, 1.36s/it, lr: 4.0e-04 loss: 3.857e-01]
my_first_flux_lora_v1: 5%|▌ | 106/2000 [02:30<43:03, 1.36s/it, lr: 4.0e-04 loss: 3.679e-01]
my_first_flux_lora_v1: 5%|▌ | 107/2000 [02:30<50:00, 1.58s/it, lr: 4.0e-04 loss: 3.679e-01]
my_first_flux_lora_v1: 5%|▌ | 107/2000 [02:33<50:00, 1.58s/it, lr: 4.0e-04 loss: 5.126e-01]
my_first_flux_lora_v1: 5%|▌ | 108/2000 [02:33<54:15, 1.72s/it, lr: 4.0e-04 loss: 5.126e-01]
my_first_flux_lora_v1: 5%|▌ | 108/2000 [02:34<54:15, 1.72s/it, lr: 4.0e-04 loss: 6.100e-01]
my_first_flux_lora_v1: 5%|▌ | 109/2000 [02:34<49:44, 1.58s/it, lr: 4.0e-04 loss: 6.100e-01]
my_first_flux_lora_v1: 5%|▌ | 109/2000 [02:35<49:44, 1.58s/it, lr: 4.0e-04 loss: 5.676e-01]
my_first_flux_lora_v1: 6%|▌ | 110/2000 [02:35<43:27, 1.38s/it, lr: 4.0e-04 loss: 5.676e-01]
my_first_flux_lora_v1: 6%|▌ | 110/2000 [02:37<43:27, 1.38s/it, lr: 4.0e-04 loss: 2.891e-01]
my_first_flux_lora_v1: 6%|▌ | 111/2000 [02:37<50:16, 1.60s/it, lr: 4.0e-04 loss: 2.891e-01]
my_first_flux_lora_v1: 6%|▌ | 111/2000 [02:39<50:16, 1.60s/it, lr: 4.0e-04 loss: 2.651e-01]
my_first_flux_lora_v1: 6%|▌ | 112/2000 [02:39<54:28, 1.73s/it, lr: 4.0e-04 loss: 2.651e-01]
my_first_flux_lora_v1: 6%|▌ | 112/2000 [02:41<54:28, 1.73s/it, lr: 4.0e-04 loss: 2.649e-01]
my_first_flux_lora_v1: 6%|▌ | 113/2000 [02:41<58:13, 1.85s/it, lr: 4.0e-04 loss: 2.649e-01]
my_first_flux_lora_v1: 6%|▌ | 113/2000 [02:43<58:13, 1.85s/it, lr: 4.0e-04 loss: 3.429e-01]
my_first_flux_lora_v1: 6%|▌ | 114/2000 [02:43<1:00:03, 1.91s/it, lr: 4.0e-04 loss: 3.429e-01]
my_first_flux_lora_v1: 6%|▌ | 114/2000 [02:44<1:00:03, 1.91s/it, lr: 4.0e-04 loss: 4.955e-01]
my_first_flux_lora_v1: 6%|▌ | 115/2000 [02:44<54:21, 1.73s/it, lr: 4.0e-04 loss: 4.955e-01]
my_first_flux_lora_v1: 6%|▌ | 115/2000 [02:46<54:21, 1.73s/it, lr: 4.0e-04 loss: 4.107e-01]
my_first_flux_lora_v1: 6%|▌ | 116/2000 [02:46<49:41, 1.58s/it, lr: 4.0e-04 loss: 4.107e-01]
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my_first_flux_lora_v1: 6%|▌ | 117/2000 [02:47<45:21, 1.45s/it, lr: 4.0e-04 loss: 4.480e-01]
my_first_flux_lora_v1: 6%|▌ | 117/2000 [02:48<45:21, 1.45s/it, lr: 4.0e-04 loss: 5.971e-01]
my_first_flux_lora_v1: 6%|▌ | 118/2000 [02:48<43:16, 1.38s/it, lr: 4.0e-04 loss: 5.971e-01]
my_first_flux_lora_v1: 6%|▌ | 118/2000 [02:49<43:16, 1.38s/it, lr: 4.0e-04 loss: 5.085e-01]
my_first_flux_lora_v1: 6%|▌ | 119/2000 [02:49<38:45, 1.24s/it, lr: 4.0e-04 loss: 5.085e-01]
my_first_flux_lora_v1: 6%|▌ | 119/2000 [02:51<38:45, 1.24s/it, lr: 4.0e-04 loss: 3.715e-01]
my_first_flux_lora_v1: 6%|▌ | 120/2000 [02:51<48:18, 1.54s/it, lr: 4.0e-04 loss: 3.715e-01]
my_first_flux_lora_v1: 6%|▌ | 120/2000 [02:52<48:18, 1.54s/it, lr: 4.0e-04 loss: 4.895e-01]
my_first_flux_lora_v1: 6%|▌ | 121/2000 [02:52<42:21, 1.35s/it, lr: 4.0e-04 loss: 4.895e-01]
my_first_flux_lora_v1: 6%|▌ | 121/2000 [02:54<42:21, 1.35s/it, lr: 4.0e-04 loss: 6.889e-01]
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my_first_flux_lora_v1: 6%|▌ | 123/2000 [02:57<42:11, 1.35s/it, lr: 4.0e-04 loss: 3.570e-01]
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my_first_flux_lora_v1: 6%|▋ | 125/2000 [02:59<47:29, 1.52s/it, lr: 4.0e-04 loss: 5.475e-01]
my_first_flux_lora_v1: 6%|▋ | 125/2000 [03:01<47:29, 1.52s/it, lr: 4.0e-04 loss: 4.110e-01]
my_first_flux_lora_v1: 6%|▋ | 126/2000 [03:01<52:21, 1.68s/it, lr: 4.0e-04 loss: 4.110e-01]
my_first_flux_lora_v1: 6%|▋ | 126/2000 [03:03<52:21, 1.68s/it, lr: 4.0e-04 loss: 3.995e-01]
my_first_flux_lora_v1: 6%|▋ | 127/2000 [03:03<56:37, 1.81s/it, lr: 4.0e-04 loss: 3.995e-01]
my_first_flux_lora_v1: 6%|▋ | 127/2000 [03:04<56:37, 1.81s/it, lr: 4.0e-04 loss: 5.820e-01]
my_first_flux_lora_v1: 6%|▋ | 128/2000 [03:04<51:12, 1.64s/it, lr: 4.0e-04 loss: 5.820e-01]
my_first_flux_lora_v1: 6%|▋ | 128/2000 [03:06<51:12, 1.64s/it, lr: 4.0e-04 loss: 2.834e-01]
my_first_flux_lora_v1: 6%|▋ | 129/2000 [03:06<55:06, 1.77s/it, lr: 4.0e-04 loss: 2.834e-01]
my_first_flux_lora_v1: 6%|▋ | 129/2000 [03:07<55:06, 1.77s/it, lr: 4.0e-04 loss: 3.635e-01]
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my_first_flux_lora_v1: 6%|▋ | 130/2000 [03:09<47:28, 1.52s/it, lr: 4.0e-04 loss: 5.415e-01]
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my_first_flux_lora_v1: 7%|▋ | 139/2000 [03:24<55:14, 1.78s/it, lr: 4.0e-04 loss: 6.331e-01]
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my_first_flux_lora_v1: 7%|▋ | 141/2000 [03:26<51:14, 1.65s/it, lr: 4.0e-04 loss: 3.360e-01]
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my_first_flux_lora_v1: 7%|▋ | 148/2000 [03:36<35:23, 1.15s/it, lr: 4.0e-04 loss: 5.791e-01]
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my_first_flux_lora_v1: 8%|▊ | 150/2000 [03:37<42:34, 1.38s/it, lr: 4.0e-04 loss: 2.603e-01]
my_first_flux_lora_v1: 8%|▊ | 150/2000 [03:38<42:34, 1.38s/it, lr: 4.0e-04 loss: 2.780e-01]
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my_first_flux_lora_v1: 8%|▊ | 151/2000 [03:40<41:12, 1.34s/it, lr: 4.0e-04 loss: 3.266e-01]
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my_first_flux_lora_v1: 8%|▊ | 152/2000 [03:41<47:47, 1.55s/it, lr: 4.0e-04 loss: 4.056e-01]
my_first_flux_lora_v1: 8%|▊ | 153/2000 [03:41<41:42, 1.35s/it, lr: 4.0e-04 loss: 4.056e-01]
my_first_flux_lora_v1: 8%|▊ | 153/2000 [03:43<41:42, 1.35s/it, lr: 4.0e-04 loss: 3.315e-01]
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my_first_flux_lora_v1: 8%|▊ | 155/2000 [03:46<44:12, 1.44s/it, lr: 4.0e-04 loss: 2.521e-01]
my_first_flux_lora_v1: 8%|▊ | 156/2000 [03:46<44:02, 1.43s/it, lr: 4.0e-04 loss: 2.521e-01]
my_first_flux_lora_v1: 8%|▊ | 156/2000 [03:47<44:02, 1.43s/it, lr: 4.0e-04 loss: 3.478e-01]
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my_first_flux_lora_v1: 8%|▊ | 158/2000 [03:48<39:00, 1.27s/it, lr: 4.0e-04 loss: 4.009e-01]
my_first_flux_lora_v1: 8%|▊ | 158/2000 [03:49<39:00, 1.27s/it, lr: 4.0e-04 loss: 3.564e-01]
my_first_flux_lora_v1: 8%|▊ | 159/2000 [03:49<35:33, 1.16s/it, lr: 4.0e-04 loss: 3.564e-01]
my_first_flux_lora_v1: 8%|▊ | 159/2000 [03:51<35:33, 1.16s/it, lr: 4.0e-04 loss: 3.114e-01]
my_first_flux_lora_v1: 8%|▊ | 160/2000 [03:51<43:41, 1.42s/it, lr: 4.0e-04 loss: 3.114e-01]
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my_first_flux_lora_v1: 9%|▉ | 175/2000 [04:13<42:41, 1.40s/it, lr: 4.0e-04 loss: 6.199e-01]
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my_first_flux_lora_v1: 9%|▉ | 179/2000 [04:17<47:36, 1.57s/it, lr: 4.0e-04 loss: 5.528e-01]
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my_first_flux_lora_v1: 9%|▉ | 180/2000 [04:18<41:27, 1.37s/it, lr: 4.0e-04 loss: 5.032e-01]
my_first_flux_lora_v1: 9%|▉ | 180/2000 [04:19<41:27, 1.37s/it, lr: 4.0e-04 loss: 4.138e-01]
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my_first_flux_lora_v1: 9%|▉ | 189/2000 [04:29<33:27, 1.11s/it, lr: 4.0e-04 loss: 5.685e-01]
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Saved to output/my_first_flux_lora_v1/optimizer.pt
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my_first_flux_lora_v1: 52%|█████▏ | 1039/2000 [24:48<19:36, 1.22s/it, lr: 4.0e-04 loss: 5.812e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1040/2000 [24:48<19:36, 1.23s/it, lr: 4.0e-04 loss: 5.812e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1040/2000 [24:49<19:36, 1.23s/it, lr: 4.0e-04 loss: 6.480e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1041/2000 [24:49<18:11, 1.14s/it, lr: 4.0e-04 loss: 6.480e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1041/2000 [24:50<18:11, 1.14s/it, lr: 4.0e-04 loss: 2.951e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1042/2000 [24:50<18:20, 1.15s/it, lr: 4.0e-04 loss: 2.951e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1042/2000 [24:51<18:20, 1.15s/it, lr: 4.0e-04 loss: 4.854e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1043/2000 [24:51<17:11, 1.08s/it, lr: 4.0e-04 loss: 4.854e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1043/2000 [24:53<17:11, 1.08s/it, lr: 4.0e-04 loss: 4.294e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1044/2000 [24:53<17:58, 1.13s/it, lr: 4.0e-04 loss: 4.294e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1044/2000 [24:54<17:58, 1.13s/it, lr: 4.0e-04 loss: 4.779e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1045/2000 [24:54<18:29, 1.16s/it, lr: 4.0e-04 loss: 4.779e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1045/2000 [24:55<18:29, 1.16s/it, lr: 4.0e-04 loss: 6.004e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1046/2000 [24:55<17:15, 1.09s/it, lr: 4.0e-04 loss: 6.004e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1046/2000 [24:57<17:15, 1.09s/it, lr: 4.0e-04 loss: 6.042e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1047/2000 [24:57<21:50, 1.37s/it, lr: 4.0e-04 loss: 6.042e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1047/2000 [24:58<21:50, 1.37s/it, lr: 4.0e-04 loss: 3.307e-01]
my_first_flux_lora_v1: 52%|█████▏ | 1048/2000 [24:58<20:57, 1.32s/it, lr: 4.0e-04 loss: 3.307e-01] |