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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/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/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)
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": 250,
"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": 1000,
"gradient_accumulation_steps": 1,
"train_unet": true,
"train_text_encoder": false,
"gradient_checkpointing": true,
"noise_scheduler": "flowmatch",
"optimizer": "adamw8bit",
"lr": 0.0001,
"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": 250,
"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 [03:55<03:55, 235.89s/it]
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Downloading shards: 100%|██████████| 2/2 [04:22<00:00, 131.36s/it]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.74it/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
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100%|██████████| 9/9 [00:00<00:00, 363.91it/s]
- Found 9 images
Bucket sizes for /workspace/ai-toolkit/images:
128x256: 1 files
384x640: 2 files
256x832: 1 files
256x1024: 1 files
256x960: 1 files
448x576: 1 files
192x448: 1 files
256x896: 1 files
8 buckets made
Caching latents for /workspace/ai-toolkit/images
- Saving latents to disk
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Caching latents to disk: 100%|██████████| 9/9 [00:01<00:00, 7.41it/s]
Dataset: /workspace/ai-toolkit/images
- Preprocessing image dimensions
0%| | 0/9 [00:00<?, ?it/s]
100%|██████████| 9/9 [00:00<00:00, 31828.61it/s]
- Found 9 images
Bucket sizes for /workspace/ai-toolkit/images:
128x256: 1 files
512x1024: 2 files
256x896: 2 files
384x1536: 1 files
384x1408: 1 files
640x832: 1 files
192x448: 1 files
7 buckets made
Caching latents for /workspace/ai-toolkit/images
- Saving latents to disk
Caching latents to disk: 0%| | 0/9 [00:00<?, ?it/s]
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Caching latents to disk: 89%|████████▉ | 8/9 [00:00<00:00, 10.21it/s]
Caching latents to disk: 100%|██████████| 9/9 [00:00<00:00, 11.91it/s]
Dataset: /workspace/ai-toolkit/images
- Preprocessing image dimensions
0%| | 0/9 [00:00<?, ?it/s]
100%|██████████| 9/9 [00:00<00:00, 28904.09it/s]
- Found 9 images
Bucket sizes for /workspace/ai-toolkit/images:
128x256: 1 files
576x1088: 1 files
256x896: 2 files
512x2048: 1 files
512x1856: 1 files
768x1344: 1 files
896x1152: 1 files
192x448: 1 files
8 buckets made
Caching latents for /workspace/ai-toolkit/images
- Saving latents to disk
Caching latents to disk: 0%| | 0/9 [00:00<?, ?it/s]
Caching latents to disk: 22%|██▏ | 2/9 [00:00<00:00, 15.55it/s]
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Caching latents to disk: 67%|██████▋ | 6/9 [00:00<00:00, 7.17it/s]
Caching latents to disk: 78%|███████▊ | 7/9 [00:01<00:00, 5.89it/s]
Caching latents to disk: 100%|██████████| 9/9 [00:01<00:00, 8.89it/s]
Generating baseline samples before training
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Generating Images: 12%|█▎ | 1/8 [00:57<06:41, 57.41s/it]
Generating Images: 25%|██▌ | 2/8 [01:35<04:36, 46.12s/it]
Generating Images: 38%|███▊ | 3/8 [02:13<03:32, 42.55s/it]
Generating Images: 50%|█████ | 4/8 [02:52<02:43, 40.90s/it]
Generating Images: 62%|██████▎ | 5/8 [03:30<01:59, 39.99s/it]
Generating Images: 75%|███████▌ | 6/8 [04:09<01:18, 39.45s/it]
Generating Images: 88%|████████▊ | 7/8 [04:47<00:39, 39.12s/it]
Generating Images: 100%|██████████| 8/8 [05:25<00:00, 38.89s/it]
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my_first_flux_lora_v1: 4%|▍ | 38/1000 [02:06<54:07, 3.38s/it, lr: 1.0e-04 loss: 4.646e-01]
my_first_flux_lora_v1: 4%|▍ | 38/1000 [02:10<54:07, 3.38s/it, lr: 1.0e-04 loss: 4.670e-01]
my_first_flux_lora_v1: 4%|▍ | 39/1000 [02:10<55:37, 3.47s/it, lr: 1.0e-04 loss: 4.670e-01]
my_first_flux_lora_v1: 4%|▍ | 39/1000 [02:12<55:37, 3.47s/it, lr: 1.0e-04 loss: 6.217e-01]
my_first_flux_lora_v1: 4%|▍ | 40/1000 [02:12<46:03, 2.88s/it, lr: 1.0e-04 loss: 6.217e-01]
my_first_flux_lora_v1: 4%|▍ | 40/1000 [02:13<46:03, 2.88s/it, lr: 1.0e-04 loss: 7.090e-01]
my_first_flux_lora_v1: 4%|▍ | 41/1000 [02:13<40:47, 2.55s/it, lr: 1.0e-04 loss: 7.090e-01]
my_first_flux_lora_v1: 4%|▍ | 41/1000 [02:20<40:47, 2.55s/it, lr: 1.0e-04 loss: 3.685e-01]
my_first_flux_lora_v1: 4%|▍ | 42/1000 [02:20<59:21, 3.72s/it, lr: 1.0e-04 loss: 3.685e-01]
my_first_flux_lora_v1: 4%|▍ | 42/1000 [02:22<59:21, 3.72s/it, lr: 1.0e-04 loss: 5.653e-01]
my_first_flux_lora_v1: 4%|▍ | 43/1000 [02:22<53:25, 3.35s/it, lr: 1.0e-04 loss: 5.653e-01]
my_first_flux_lora_v1: 4%|▍ | 43/1000 [02:25<53:25, 3.35s/it, lr: 1.0e-04 loss: 3.855e-01]
my_first_flux_lora_v1: 4%|▍ | 44/1000 [02:25<49:16, 3.09s/it, lr: 1.0e-04 loss: 3.855e-01]
my_first_flux_lora_v1: 4%|▍ | 44/1000 [02:27<49:16, 3.09s/it, lr: 1.0e-04 loss: 4.773e-01]
my_first_flux_lora_v1: 4%|▍ | 45/1000 [02:27<45:52, 2.88s/it, lr: 1.0e-04 loss: 4.773e-01]
my_first_flux_lora_v1: 4%|▍ | 45/1000 [02:30<45:52, 2.88s/it, lr: 1.0e-04 loss: 4.711e-01]
my_first_flux_lora_v1: 5%|▍ | 46/1000 [02:30<43:41, 2.75s/it, lr: 1.0e-04 loss: 4.711e-01]
my_first_flux_lora_v1: 5%|▍ | 46/1000 [02:31<43:41, 2.75s/it, lr: 1.0e-04 loss: 6.249e-01]
my_first_flux_lora_v1: 5%|▍ | 47/1000 [02:31<38:44, 2.44s/it, lr: 1.0e-04 loss: 6.249e-01]
my_first_flux_lora_v1: 5%|▍ | 47/1000 [02:38<38:44, 2.44s/it, lr: 1.0e-04 loss: 5.855e-01]
my_first_flux_lora_v1: 5%|▍ | 48/1000 [02:38<58:05, 3.66s/it, lr: 1.0e-04 loss: 5.855e-01]
my_first_flux_lora_v1: 5%|▍ | 48/1000 [02:39<58:05, 3.66s/it, lr: 1.0e-04 loss: 4.146e-01]
my_first_flux_lora_v1: 5%|▍ | 49/1000 [02:39<47:49, 3.02s/it, lr: 1.0e-04 loss: 4.146e-01]
my_first_flux_lora_v1: 5%|▍ | 49/1000 [02:42<47:49, 3.02s/it, lr: 1.0e-04 loss: 4.718e-01]
my_first_flux_lora_v1: 5%|▌ | 50/1000 [02:42<44:59, 2.84s/it, lr: 1.0e-04 loss: 4.718e-01]
my_first_flux_lora_v1: 5%|▌ | 50/1000 [02:44<44:59, 2.84s/it, lr: 1.0e-04 loss: 6.521e-01]
my_first_flux_lora_v1: 5%|▌ | 51/1000 [02:44<44:03, 2.79s/it, lr: 1.0e-04 loss: 6.521e-01]
my_first_flux_lora_v1: 5%|▌ | 51/1000 [02:51<44:03, 2.79s/it, lr: 1.0e-04 loss: 3.638e-01]
my_first_flux_lora_v1: 5%|▌ | 52/1000 [02:51<1:01:19, 3.88s/it, lr: 1.0e-04 loss: 3.638e-01]
my_first_flux_lora_v1: 5%|▌ | 52/1000 [02:53<1:01:19, 3.88s/it, lr: 1.0e-04 loss: 3.884e-01]
my_first_flux_lora_v1: 5%|▌ | 53/1000 [02:53<54:22, 3.45s/it, lr: 1.0e-04 loss: 3.884e-01]
my_first_flux_lora_v1: 5%|▌ | 53/1000 [02:58<54:22, 3.45s/it, lr: 1.0e-04 loss: 6.151e-01]
my_first_flux_lora_v1: 5%|▌ | 54/1000 [02:58<57:22, 3.64s/it, lr: 1.0e-04 loss: 6.151e-01]
my_first_flux_lora_v1: 5%|▌ | 54/1000 [03:02<57:22, 3.64s/it, lr: 1.0e-04 loss: 6.123e-01]
my_first_flux_lora_v1: 6%|▌ | 55/1000 [03:02<59:38, 3.79s/it, lr: 1.0e-04 loss: 6.123e-01]
my_first_flux_lora_v1: 6%|▌ | 55/1000 [03:04<59:38, 3.79s/it, lr: 1.0e-04 loss: 4.410e-01]
my_first_flux_lora_v1: 6%|▌ | 56/1000 [03:04<50:17, 3.20s/it, lr: 1.0e-04 loss: 4.410e-01]
my_first_flux_lora_v1: 6%|▌ | 56/1000 [03:06<50:17, 3.20s/it, lr: 1.0e-04 loss: 4.571e-01]
my_first_flux_lora_v1: 6%|▌ | 57/1000 [03:06<46:39, 2.97s/it, lr: 1.0e-04 loss: 4.571e-01]
my_first_flux_lora_v1: 6%|▌ | 57/1000 [03:12<46:39, 2.97s/it, lr: 1.0e-04 loss: 3.353e-01]
my_first_flux_lora_v1: 6%|▌ | 58/1000 [03:12<1:00:23, 3.85s/it, lr: 1.0e-04 loss: 3.353e-01]
my_first_flux_lora_v1: 6%|▌ | 58/1000 [03:16<1:00:23, 3.85s/it, lr: 1.0e-04 loss: 5.751e-01]
my_first_flux_lora_v1: 6%|▌ | 59/1000 [03:16<1:01:07, 3.90s/it, lr: 1.0e-04 loss: 5.751e-01]
my_first_flux_lora_v1: 6%|▌ | 59/1000 [03:18<1:01:07, 3.90s/it, lr: 1.0e-04 loss: 6.752e-01]
my_first_flux_lora_v1: 6%|▌ | 60/1000 [03:18<51:12, 3.27s/it, lr: 1.0e-04 loss: 6.752e-01]
my_first_flux_lora_v1: 6%|▌ | 60/1000 [03:20<51:12, 3.27s/it, lr: 1.0e-04 loss: 6.847e-01]
my_first_flux_lora_v1: 6%|▌ | 61/1000 [03:20<47:19, 3.02s/it, lr: 1.0e-04 loss: 6.847e-01]
my_first_flux_lora_v1: 6%|▌ | 61/1000 [03:22<47:19, 3.02s/it, lr: 1.0e-04 loss: 6.270e-01]
my_first_flux_lora_v1: 6%|▌ | 62/1000 [03:22<40:11, 2.57s/it, lr: 1.0e-04 loss: 6.270e-01]
my_first_flux_lora_v1: 6%|▌ | 62/1000 [03:23<40:11, 2.57s/it, lr: 1.0e-04 loss: 5.010e-01]
my_first_flux_lora_v1: 6%|▋ | 63/1000 [03:23<35:58, 2.30s/it, lr: 1.0e-04 loss: 5.010e-01]
my_first_flux_lora_v1: 6%|▋ | 63/1000 [03:25<35:58, 2.30s/it, lr: 1.0e-04 loss: 6.898e-01]
my_first_flux_lora_v1: 6%|▋ | 64/1000 [03:25<33:35, 2.15s/it, lr: 1.0e-04 loss: 6.898e-01]
my_first_flux_lora_v1: 6%|▋ | 64/1000 [03:32<33:35, 2.15s/it, lr: 1.0e-04 loss: 8.766e-01]
my_first_flux_lora_v1: 6%|▋ | 65/1000 [03:32<53:32, 3.44s/it, lr: 1.0e-04 loss: 8.766e-01]
my_first_flux_lora_v1: 6%|▋ | 65/1000 [03:33<53:32, 3.44s/it, lr: 1.0e-04 loss: 3.613e-01]
my_first_flux_lora_v1: 7%|▋ | 66/1000 [03:33<44:35, 2.86s/it, lr: 1.0e-04 loss: 3.613e-01]
my_first_flux_lora_v1: 7%|▋ | 66/1000 [03:38<44:35, 2.86s/it, lr: 1.0e-04 loss: 6.031e-01]
my_first_flux_lora_v1: 7%|▋ | 67/1000 [03:38<51:26, 3.31s/it, lr: 1.0e-04 loss: 6.031e-01]
my_first_flux_lora_v1: 7%|▋ | 67/1000 [03:40<51:26, 3.31s/it, lr: 1.0e-04 loss: 5.497e-01]
my_first_flux_lora_v1: 7%|▋ | 68/1000 [03:40<47:18, 3.05s/it, lr: 1.0e-04 loss: 5.497e-01]
my_first_flux_lora_v1: 7%|▋ | 68/1000 [03:47<47:18, 3.05s/it, lr: 1.0e-04 loss: 5.403e-01]
my_first_flux_lora_v1: 7%|▋ | 69/1000 [03:47<1:03:25, 4.09s/it, lr: 1.0e-04 loss: 5.403e-01]
my_first_flux_lora_v1: 7%|▋ | 69/1000 [03:49<1:03:25, 4.09s/it, lr: 1.0e-04 loss: 6.738e-01]
my_first_flux_lora_v1: 7%|▋ | 70/1000 [03:49<55:40, 3.59s/it, lr: 1.0e-04 loss: 6.738e-01]
my_first_flux_lora_v1: 7%|▋ | 70/1000 [03:55<55:40, 3.59s/it, lr: 1.0e-04 loss: 4.609e-01]
my_first_flux_lora_v1: 7%|▋ | 71/1000 [03:55<1:09:10, 4.47s/it, lr: 1.0e-04 loss: 4.609e-01]
my_first_flux_lora_v1: 7%|▋ | 71/1000 [03:58<1:09:10, 4.47s/it, lr: 1.0e-04 loss: 3.596e-01]
my_first_flux_lora_v1: 7%|▋ | 72/1000 [03:58<1:00:04, 3.88s/it, lr: 1.0e-04 loss: 3.596e-01]
my_first_flux_lora_v1: 7%|▋ | 72/1000 [04:00<1:00:04, 3.88s/it, lr: 1.0e-04 loss: 3.073e-01]
my_first_flux_lora_v1: 7%|▋ | 73/1000 [04:00<53:17, 3.45s/it, lr: 1.0e-04 loss: 3.073e-01]
my_first_flux_lora_v1: 7%|▋ | 73/1000 [04:04<53:17, 3.45s/it, lr: 1.0e-04 loss: 4.968e-01]
my_first_flux_lora_v1: 7%|▋ | 74/1000 [04:04<54:22, 3.52s/it, lr: 1.0e-04 loss: 4.968e-01]
my_first_flux_lora_v1: 7%|▋ | 74/1000 [04:07<54:22, 3.52s/it, lr: 1.0e-04 loss: 6.451e-01]
my_first_flux_lora_v1: 8%|▊ | 75/1000 [04:07<49:33, 3.21s/it, lr: 1.0e-04 loss: 6.451e-01]
my_first_flux_lora_v1: 8%|▊ | 75/1000 [04:10<49:33, 3.21s/it, lr: 1.0e-04 loss: 6.232e-01]
my_first_flux_lora_v1: 8%|▊ | 76/1000 [04:10<52:15, 3.39s/it, lr: 1.0e-04 loss: 6.232e-01]
my_first_flux_lora_v1: 8%|▊ | 76/1000 [04:13<52:15, 3.39s/it, lr: 1.0e-04 loss: 4.934e-01]
my_first_flux_lora_v1: 8%|▊ | 77/1000 [04:13<48:02, 3.12s/it, lr: 1.0e-04 loss: 4.934e-01]
my_first_flux_lora_v1: 8%|▊ | 77/1000 [04:15<48:02, 3.12s/it, lr: 1.0e-04 loss: 6.655e-01]
my_first_flux_lora_v1: 8%|▊ | 78/1000 [04:15<44:33, 2.90s/it, lr: 1.0e-04 loss: 6.655e-01]
my_first_flux_lora_v1: 8%|▊ | 78/1000 [04:18<44:33, 2.90s/it, lr: 1.0e-04 loss: 6.106e-01]
my_first_flux_lora_v1: 8%|▊ | 79/1000 [04:18<42:45, 2.79s/it, lr: 1.0e-04 loss: 6.106e-01]
my_first_flux_lora_v1: 8%|▊ | 79/1000 [04:20<42:45, 2.79s/it, lr: 1.0e-04 loss: 4.884e-01]
my_first_flux_lora_v1: 8%|▊ | 80/1000 [04:20<42:04, 2.74s/it, lr: 1.0e-04 loss: 4.884e-01]
my_first_flux_lora_v1: 8%|▊ | 80/1000 [04:22<42:04, 2.74s/it, lr: 1.0e-04 loss: 3.961e-01]
my_first_flux_lora_v1: 8%|▊ | 81/1000 [04:22<36:33, 2.39s/it, lr: 1.0e-04 loss: 3.961e-01]
my_first_flux_lora_v1: 8%|▊ | 81/1000 [04:25<36:33, 2.39s/it, lr: 1.0e-04 loss: 4.958e-01]
my_first_flux_lora_v1: 8%|▊ | 82/1000 [04:25<36:57, 2.42s/it, lr: 1.0e-04 loss: 4.958e-01]
my_first_flux_lora_v1: 8%|▊ | 82/1000 [04:27<36:57, 2.42s/it, lr: 1.0e-04 loss: 5.752e-01]
my_first_flux_lora_v1: 8%|▊ | 83/1000 [04:27<37:00, 2.42s/it, lr: 1.0e-04 loss: 5.752e-01]
my_first_flux_lora_v1: 8%|▊ | 83/1000 [04:30<37:00, 2.42s/it, lr: 1.0e-04 loss: 5.308e-01]
my_first_flux_lora_v1: 8%|▊ | 84/1000 [04:30<38:21, 2.51s/it, lr: 1.0e-04 loss: 5.308e-01]
my_first_flux_lora_v1: 8%|▊ | 84/1000 [04:32<38:21, 2.51s/it, lr: 1.0e-04 loss: 3.659e-01]
my_first_flux_lora_v1: 8%|▊ | 85/1000 [04:32<37:42, 2.47s/it, lr: 1.0e-04 loss: 3.659e-01]
my_first_flux_lora_v1: 8%|▊ | 85/1000 [04:38<37:42, 2.47s/it, lr: 1.0e-04 loss: 4.329e-01]
my_first_flux_lora_v1: 9%|▊ | 86/1000 [04:38<53:19, 3.50s/it, lr: 1.0e-04 loss: 4.329e-01]
my_first_flux_lora_v1: 9%|▊ | 86/1000 [04:41<53:19, 3.50s/it, lr: 1.0e-04 loss: 5.587e-01]
my_first_flux_lora_v1: 9%|▊ | 87/1000 [04:41<48:23, 3.18s/it, lr: 1.0e-04 loss: 5.587e-01]
my_first_flux_lora_v1: 9%|▊ | 87/1000 [04:43<48:23, 3.18s/it, lr: 1.0e-04 loss: 5.036e-01]
my_first_flux_lora_v1: 9%|▉ | 88/1000 [04:43<45:24, 2.99s/it, lr: 1.0e-04 loss: 5.036e-01]
my_first_flux_lora_v1: 9%|▉ | 88/1000 [04:50<45:24, 2.99s/it, lr: 1.0e-04 loss: 7.466e-01]
my_first_flux_lora_v1: 9%|▉ | 89/1000 [04:50<1:01:05, 4.02s/it, lr: 1.0e-04 loss: 7.466e-01]
my_first_flux_lora_v1: 9%|▉ | 89/1000 [04:51<1:01:05, 4.02s/it, lr: 1.0e-04 loss: 4.024e-01]
my_first_flux_lora_v1: 9%|▉ | 90/1000 [04:51<49:41, 3.28s/it, lr: 1.0e-04 loss: 4.024e-01]
my_first_flux_lora_v1: 9%|▉ | 90/1000 [04:54<49:41, 3.28s/it, lr: 1.0e-04 loss: 3.794e-01]
my_first_flux_lora_v1: 9%|▉ | 91/1000 [04:54<46:04, 3.04s/it, lr: 1.0e-04 loss: 3.794e-01]
my_first_flux_lora_v1: 9%|▉ | 91/1000 [04:56<46:04, 3.04s/it, lr: 1.0e-04 loss: 6.218e-01]
my_first_flux_lora_v1: 9%|▉ | 92/1000 [04:56<41:09, 2.72s/it, lr: 1.0e-04 loss: 6.218e-01]
my_first_flux_lora_v1: 9%|▉ | 92/1000 [04:57<41:09, 2.72s/it, lr: 1.0e-04 loss: 3.508e-01]
my_first_flux_lora_v1: 9%|▉ | 93/1000 [04:57<35:59, 2.38s/it, lr: 1.0e-04 loss: 3.508e-01]
my_first_flux_lora_v1: 9%|▉ | 93/1000 [05:01<35:59, 2.38s/it, lr: 1.0e-04 loss: 3.096e-01]
my_first_flux_lora_v1: 9%|▉ | 94/1000 [05:01<43:32, 2.88s/it, lr: 1.0e-04 loss: 3.096e-01]
my_first_flux_lora_v1: 9%|▉ | 94/1000 [05:08<43:32, 2.88s/it, lr: 1.0e-04 loss: 5.067e-01]
my_first_flux_lora_v1: 10%|▉ | 95/1000 [05:08<59:35, 3.95s/it, lr: 1.0e-04 loss: 5.067e-01]
my_first_flux_lora_v1: 10%|▉ | 95/1000 [05:10<59:35, 3.95s/it, lr: 1.0e-04 loss: 5.943e-01]
my_first_flux_lora_v1: 10%|▉ | 96/1000 [05:10<50:54, 3.38s/it, lr: 1.0e-04 loss: 5.943e-01]
my_first_flux_lora_v1: 10%|▉ | 96/1000 [05:12<50:54, 3.38s/it, lr: 1.0e-04 loss: 4.542e-01]
my_first_flux_lora_v1: 10%|▉ | 97/1000 [05:12<46:38, 3.10s/it, lr: 1.0e-04 loss: 4.542e-01]
my_first_flux_lora_v1: 10%|▉ | 97/1000 [05:16<46:38, 3.10s/it, lr: 1.0e-04 loss: 4.491e-01]
my_first_flux_lora_v1: 10%|▉ | 98/1000 [05:16<49:20, 3.28s/it, lr: 1.0e-04 loss: 4.491e-01]
my_first_flux_lora_v1: 10%|▉ | 98/1000 [05:19<49:20, 3.28s/it, lr: 1.0e-04 loss: 5.799e-01]
my_first_flux_lora_v1: 10%|▉ | 99/1000 [05:19<45:56, 3.06s/it, lr: 1.0e-04 loss: 5.799e-01]
my_first_flux_lora_v1: 10%|▉ | 99/1000 [05:22<45:56, 3.06s/it, lr: 1.0e-04 loss: 4.371e-01]
my_first_flux_lora_v1: 10%|█ | 100/1000 [05:25<45:53, 3.06s/it, lr: 1.0e-04 loss: 3.205e-01]
my_first_flux_lora_v1: 10%|█ | 101/1000 [05:25<33:19, 2.22s/it, lr: 1.0e-04 loss: 3.205e-01]
my_first_flux_lora_v1: 10%|█ | 101/1000 [05:29<33:19, 2.22s/it, lr: 1.0e-04 loss: 5.703e-01]
my_first_flux_lora_v1: 10%|█ | 102/1000 [05:29<41:06, 2.75s/it, lr: 1.0e-04 loss: 5.703e-01]
my_first_flux_lora_v1: 10%|█ | 102/1000 [05:33<41:06, 2.75s/it, lr: 1.0e-04 loss: 5.771e-01]
my_first_flux_lora_v1: 10%|█ | 103/1000 [05:33<45:30, 3.04s/it, lr: 1.0e-04 loss: 5.771e-01]
my_first_flux_lora_v1: 10%|█ | 103/1000 [05:40<45:30, 3.04s/it, lr: 1.0e-04 loss: 6.051e-01]
my_first_flux_lora_v1: 10%|█ | 104/1000 [05:40<59:30, 3.99s/it, lr: 1.0e-04 loss: 6.051e-01]
my_first_flux_lora_v1: 10%|█ | 104/1000 [05:44<59:30, 3.99s/it, lr: 1.0e-04 loss: 3.874e-01]
my_first_flux_lora_v1: 10%|█ | 105/1000 [05:44<59:33, 3.99s/it, lr: 1.0e-04 loss: 3.874e-01]
my_first_flux_lora_v1: 10%|█ | 105/1000 [05:45<59:33, 3.99s/it, lr: 1.0e-04 loss: 4.482e-01]
my_first_flux_lora_v1: 11%|█ | 106/1000 [05:45<50:08, 3.37s/it, lr: 1.0e-04 loss: 4.482e-01]
my_first_flux_lora_v1: 11%|█ | 106/1000 [05:48<50:08, 3.37s/it, lr: 1.0e-04 loss: 3.160e-01]
my_first_flux_lora_v1: 11%|█ | 107/1000 [05:48<46:18, 3.11s/it, lr: 1.0e-04 loss: 3.160e-01]
my_first_flux_lora_v1: 11%|█ | 107/1000 [05:52<46:18, 3.11s/it, lr: 1.0e-04 loss: 3.916e-01]
my_first_flux_lora_v1: 11%|█ | 108/1000 [05:52<48:55, 3.29s/it, lr: 1.0e-04 loss: 3.916e-01]
my_first_flux_lora_v1: 11%|█ | 108/1000 [05:54<48:55, 3.29s/it, lr: 1.0e-04 loss: 3.528e-01]
my_first_flux_lora_v1: 11%|█ | 109/1000 [05:54<42:48, 2.88s/it, lr: 1.0e-04 loss: 3.528e-01]
my_first_flux_lora_v1: 11%|█ | 109/1000 [05:57<42:48, 2.88s/it, lr: 1.0e-04 loss: 5.668e-01]
my_first_flux_lora_v1: 11%|█ | 110/1000 [05:57<41:07, 2.77s/it, lr: 1.0e-04 loss: 5.668e-01]
my_first_flux_lora_v1: 11%|█ | 110/1000 [05:59<41:07, 2.77s/it, lr: 1.0e-04 loss: 6.160e-01]
my_first_flux_lora_v1: 11%|█ | 111/1000 [05:59<39:51, 2.69s/it, lr: 1.0e-04 loss: 6.160e-01]
my_first_flux_lora_v1: 11%|█ | 111/1000 [06:05<39:51, 2.69s/it, lr: 1.0e-04 loss: 4.880e-01]
my_first_flux_lora_v1: 11%|█ | 112/1000 [06:05<53:58, 3.65s/it, lr: 1.0e-04 loss: 4.880e-01]
my_first_flux_lora_v1: 11%|█ | 112/1000 [06:11<53:58, 3.65s/it, lr: 1.0e-04 loss: 5.407e-01]
my_first_flux_lora_v1: 11%|█▏ | 113/1000 [06:11<1:06:14, 4.48s/it, lr: 1.0e-04 loss: 5.407e-01]
my_first_flux_lora_v1: 11%|█▏ | 113/1000 [06:18<1:06:14, 4.48s/it, lr: 1.0e-04 loss: 6.936e-01]
my_first_flux_lora_v1: 11%|█▏ | 114/1000 [06:18<1:14:51, 5.07s/it, lr: 1.0e-04 loss: 6.936e-01]
my_first_flux_lora_v1: 11%|█▏ | 114/1000 [06:20<1:14:51, 5.07s/it, lr: 1.0e-04 loss: 4.759e-01]
my_first_flux_lora_v1: 12%|█▏ | 115/1000 [06:20<1:03:08, 4.28s/it, lr: 1.0e-04 loss: 4.759e-01]
my_first_flux_lora_v1: 12%|█▏ | 115/1000 [06:22<1:03:08, 4.28s/it, lr: 1.0e-04 loss: 6.045e-01]
my_first_flux_lora_v1: 12%|█▏ | 116/1000 [06:22<52:06, 3.54s/it, lr: 1.0e-04 loss: 6.045e-01]
my_first_flux_lora_v1: 12%|█▏ | 116/1000 [06:25<52:06, 3.54s/it, lr: 1.0e-04 loss: 4.678e-01]
my_first_flux_lora_v1: 12%|█▏ | 117/1000 [06:25<47:38, 3.24s/it, lr: 1.0e-04 loss: 4.678e-01]
my_first_flux_lora_v1: 12%|█▏ | 117/1000 [06:27<47:38, 3.24s/it, lr: 1.0e-04 loss: 5.059e-01]
my_first_flux_lora_v1: 12%|█▏ | 118/1000 [06:27<45:10, 3.07s/it, lr: 1.0e-04 loss: 5.059e-01]
my_first_flux_lora_v1: 12%|█▏ | 118/1000 [06:31<45:10, 3.07s/it, lr: 1.0e-04 loss: 6.259e-01]
my_first_flux_lora_v1: 12%|█▏ | 119/1000 [06:31<48:41, 3.32s/it, lr: 1.0e-04 loss: 6.259e-01]
my_first_flux_lora_v1: 12%|█▏ | 119/1000 [06:34<48:41, 3.32s/it, lr: 1.0e-04 loss: 5.357e-01]
my_first_flux_lora_v1: 12%|█▏ | 120/1000 [06:34<44:32, 3.04s/it, lr: 1.0e-04 loss: 5.357e-01]
my_first_flux_lora_v1: 12%|█▏ | 120/1000 [06:37<44:32, 3.04s/it, lr: 1.0e-04 loss: 2.903e-01]
my_first_flux_lora_v1: 12%|█▏ | 121/1000 [06:37<48:17, 3.30s/it, lr: 1.0e-04 loss: 2.903e-01]
my_first_flux_lora_v1: 12%|█▏ | 121/1000 [06:39<48:17, 3.30s/it, lr: 1.0e-04 loss: 3.169e-01]
my_first_flux_lora_v1: 12%|█▏ | 122/1000 [06:39<41:21, 2.83s/it, lr: 1.0e-04 loss: 3.169e-01]
my_first_flux_lora_v1: 12%|█▏ | 122/1000 [06:46<41:21, 2.83s/it, lr: 1.0e-04 loss: 6.133e-01]
my_first_flux_lora_v1: 12%|█▏ | 123/1000 [06:46<57:26, 3.93s/it, lr: 1.0e-04 loss: 6.133e-01]
my_first_flux_lora_v1: 12%|█▏ | 123/1000 [06:48<57:26, 3.93s/it, lr: 1.0e-04 loss: 3.428e-01]
my_first_flux_lora_v1: 12%|█▏ | 124/1000 [06:48<50:48, 3.48s/it, lr: 1.0e-04 loss: 3.428e-01]
my_first_flux_lora_v1: 12%|█▏ | 124/1000 [06:50<50:48, 3.48s/it, lr: 1.0e-04 loss: 6.885e-01]
my_first_flux_lora_v1: 12%|█▎ | 125/1000 [06:50<43:23, 2.98s/it, lr: 1.0e-04 loss: 6.885e-01]
my_first_flux_lora_v1: 12%|█▎ | 125/1000 [06:52<43:23, 2.98s/it, lr: 1.0e-04 loss: 4.724e-01]
my_first_flux_lora_v1: 13%|█▎ | 126/1000 [06:52<37:45, 2.59s/it, lr: 1.0e-04 loss: 4.724e-01]
my_first_flux_lora_v1: 13%|█▎ | 126/1000 [06:54<37:45, 2.59s/it, lr: 1.0e-04 loss: 5.970e-01]
my_first_flux_lora_v1: 13%|█▎ | 127/1000 [06:54<37:24, 2.57s/it, lr: 1.0e-04 loss: 5.970e-01]
my_first_flux_lora_v1: 13%|█▎ | 127/1000 [06:57<37:24, 2.57s/it, lr: 1.0e-04 loss: 5.636e-01]
my_first_flux_lora_v1: 13%|█▎ | 128/1000 [06:57<36:45, 2.53s/it, lr: 1.0e-04 loss: 5.636e-01]
my_first_flux_lora_v1: 13%|█▎ | 128/1000 [06:58<36:45, 2.53s/it, lr: 1.0e-04 loss: 4.278e-01]
my_first_flux_lora_v1: 13%|█▎ | 129/1000 [06:58<33:31, 2.31s/it, lr: 1.0e-04 loss: 4.278e-01]
my_first_flux_lora_v1: 13%|█▎ | 129/1000 [07:01<33:31, 2.31s/it, lr: 1.0e-04 loss: 3.191e-01]
my_first_flux_lora_v1: 13%|█▎ | 130/1000 [07:01<34:25, 2.37s/it, lr: 1.0e-04 loss: 3.191e-01]
my_first_flux_lora_v1: 13%|█▎ | 130/1000 [07:03<34:25, 2.37s/it, lr: 1.0e-04 loss: 6.860e-01]
my_first_flux_lora_v1: 13%|█▎ | 131/1000 [07:03<34:41, 2.39s/it, lr: 1.0e-04 loss: 6.860e-01]
my_first_flux_lora_v1: 13%|█▎ | 131/1000 [07:07<34:41, 2.39s/it, lr: 1.0e-04 loss: 4.009e-01]
my_first_flux_lora_v1: 13%|█▎ | 132/1000 [07:07<40:16, 2.78s/it, lr: 1.0e-04 loss: 4.009e-01]
my_first_flux_lora_v1: 13%|█▎ | 132/1000 [07:11<40:16, 2.78s/it, lr: 1.0e-04 loss: 3.125e-01]
my_first_flux_lora_v1: 13%|█▎ | 133/1000 [07:11<45:41, 3.16s/it, lr: 1.0e-04 loss: 3.125e-01]
my_first_flux_lora_v1: 13%|█▎ | 133/1000 [07:16<45:41, 3.16s/it, lr: 1.0e-04 loss: 5.997e-01]
my_first_flux_lora_v1: 13%|█▎ | 134/1000 [07:16<51:24, 3.56s/it, lr: 1.0e-04 loss: 5.997e-01]
my_first_flux_lora_v1: 13%|█▎ | 134/1000 [07:22<51:24, 3.56s/it, lr: 1.0e-04 loss: 3.109e-01]
my_first_flux_lora_v1: 14%|█▎ | 135/1000 [07:23<1:04:07, 4.45s/it, lr: 1.0e-04 loss: 3.109e-01]
my_first_flux_lora_v1: 14%|█▎ | 135/1000 [07:25<1:04:07, 4.45s/it, lr: 1.0e-04 loss: 5.532e-01]
my_first_flux_lora_v1: 14%|█▎ | 136/1000 [07:25<55:28, 3.85s/it, lr: 1.0e-04 loss: 5.532e-01]
my_first_flux_lora_v1: 14%|█▎ | 136/1000 [07:31<55:28, 3.85s/it, lr: 1.0e-04 loss: 6.201e-01]
my_first_flux_lora_v1: 14%|█▎ | 137/1000 [07:31<1:06:30, 4.62s/it, lr: 1.0e-04 loss: 6.201e-01]
my_first_flux_lora_v1: 14%|█▎ | 137/1000 [07:33<1:06:30, 4.62s/it, lr: 1.0e-04 loss: 3.586e-01]
my_first_flux_lora_v1: 14%|█▍ | 138/1000 [07:33<53:00, 3.69s/it, lr: 1.0e-04 loss: 3.586e-01]
my_first_flux_lora_v1: 14%|█▍ | 138/1000 [07:39<53:00, 3.69s/it, lr: 1.0e-04 loss: 7.726e-01]
my_first_flux_lora_v1: 14%|█▍ | 139/1000 [07:39<1:05:11, 4.54s/it, lr: 1.0e-04 loss: 7.726e-01]
my_first_flux_lora_v1: 14%|█▍ | 139/1000 [07:42<1:05:11, 4.54s/it, lr: 1.0e-04 loss: 6.859e-01]
my_first_flux_lora_v1: 14%|█▍ | 140/1000 [07:42<56:02, 3.91s/it, lr: 1.0e-04 loss: 6.859e-01]
my_first_flux_lora_v1: 14%|█▍ | 140/1000 [07:44<56:02, 3.91s/it, lr: 1.0e-04 loss: 6.444e-01]
my_first_flux_lora_v1: 14%|█▍ | 141/1000 [07:44<46:53, 3.27s/it, lr: 1.0e-04 loss: 6.444e-01]
my_first_flux_lora_v1: 14%|█▍ | 141/1000 [07:46<46:53, 3.27s/it, lr: 1.0e-04 loss: 3.982e-01]
my_first_flux_lora_v1: 14%|█▍ | 142/1000 [07:46<43:26, 3.04s/it, lr: 1.0e-04 loss: 3.982e-01]
my_first_flux_lora_v1: 14%|█▍ | 142/1000 [07:50<43:26, 3.04s/it, lr: 1.0e-04 loss: 3.395e-01]
my_first_flux_lora_v1: 14%|█▍ | 143/1000 [07:50<48:54, 3.42s/it, lr: 1.0e-04 loss: 3.395e-01]
my_first_flux_lora_v1: 14%|█▍ | 143/1000 [07:53<48:54, 3.42s/it, lr: 1.0e-04 loss: 5.724e-01]
my_first_flux_lora_v1: 14%|█▍ | 144/1000 [07:53<44:35, 3.13s/it, lr: 1.0e-04 loss: 5.724e-01]
my_first_flux_lora_v1: 14%|█▍ | 144/1000 [07:57<44:35, 3.13s/it, lr: 1.0e-04 loss: 3.908e-01]
my_first_flux_lora_v1: 14%|█▍ | 145/1000 [07:57<47:46, 3.35s/it, lr: 1.0e-04 loss: 3.908e-01]
my_first_flux_lora_v1: 14%|█▍ | 145/1000 [07:59<47:46, 3.35s/it, lr: 1.0e-04 loss: 4.631e-01]
my_first_flux_lora_v1: 15%|█▍ | 146/1000 [07:59<44:11, 3.10s/it, lr: 1.0e-04 loss: 4.631e-01]
my_first_flux_lora_v1: 15%|█▍ | 146/1000 [08:02<44:11, 3.10s/it, lr: 1.0e-04 loss: 5.042e-01]
my_first_flux_lora_v1: 15%|█▍ | 147/1000 [08:02<41:23, 2.91s/it, lr: 1.0e-04 loss: 5.042e-01]
my_first_flux_lora_v1: 15%|█▍ | 147/1000 [08:04<41:23, 2.91s/it, lr: 1.0e-04 loss: 3.550e-01]
my_first_flux_lora_v1: 15%|█▍ | 148/1000 [08:04<39:17, 2.77s/it, lr: 1.0e-04 loss: 3.550e-01]
my_first_flux_lora_v1: 15%|█▍ | 148/1000 [08:08<39:17, 2.77s/it, lr: 1.0e-04 loss: 4.074e-01]
my_first_flux_lora_v1: 15%|█▍ | 149/1000 [08:08<44:42, 3.15s/it, lr: 1.0e-04 loss: 4.074e-01]
my_first_flux_lora_v1: 15%|█▍ | 149/1000 [08:12<44:42, 3.15s/it, lr: 1.0e-04 loss: 3.916e-01]
my_first_flux_lora_v1: 15%|█▌ | 150/1000 [08:12<47:45, 3.37s/it, lr: 1.0e-04 loss: 3.916e-01]
my_first_flux_lora_v1: 15%|█▌ | 150/1000 [08:16<47:45, 3.37s/it, lr: 1.0e-04 loss: 2.766e-01]
my_first_flux_lora_v1: 15%|█▌ | 151/1000 [08:16<49:03, 3.47s/it, lr: 1.0e-04 loss: 2.766e-01]
my_first_flux_lora_v1: 15%|█▌ | 151/1000 [08:18<49:03, 3.47s/it, lr: 1.0e-04 loss: 4.563e-01]
my_first_flux_lora_v1: 15%|█▌ | 152/1000 [08:18<41:27, 2.93s/it, lr: 1.0e-04 loss: 4.563e-01]
my_first_flux_lora_v1: 15%|█▌ | 152/1000 [08:20<41:27, 2.93s/it, lr: 1.0e-04 loss: 4.786e-01]
my_first_flux_lora_v1: 15%|█▌ | 153/1000 [08:20<39:19, 2.79s/it, lr: 1.0e-04 loss: 4.786e-01]
my_first_flux_lora_v1: 15%|█▌ | 153/1000 [08:26<39:19, 2.79s/it, lr: 1.0e-04 loss: 5.446e-01]
my_first_flux_lora_v1: 15%|█▌ | 154/1000 [08:26<52:27, 3.72s/it, lr: 1.0e-04 loss: 5.446e-01]
my_first_flux_lora_v1: 15%|█▌ | 154/1000 [08:28<52:27, 3.72s/it, lr: 1.0e-04 loss: 6.537e-01]
my_first_flux_lora_v1: 16%|█▌ | 155/1000 [08:28<44:15, 3.14s/it, lr: 1.0e-04 loss: 6.537e-01]
my_first_flux_lora_v1: 16%|█▌ | 155/1000 [08:30<44:15, 3.14s/it, lr: 1.0e-04 loss: 2.856e-01]
my_first_flux_lora_v1: 16%|█▌ | 156/1000 [08:30<42:09, 3.00s/it, lr: 1.0e-04 loss: 2.856e-01]
my_first_flux_lora_v1: 16%|█▌ | 156/1000 [08:32<42:09, 3.00s/it, lr: 1.0e-04 loss: 5.417e-01]
my_first_flux_lora_v1: 16%|█▌ | 157/1000 [08:32<35:47, 2.55s/it, lr: 1.0e-04 loss: 5.417e-01]
my_first_flux_lora_v1: 16%|█▌ | 157/1000 [08:35<35:47, 2.55s/it, lr: 1.0e-04 loss: 5.808e-01]
my_first_flux_lora_v1: 16%|█▌ | 158/1000 [08:35<40:35, 2.89s/it, lr: 1.0e-04 loss: 5.808e-01]
my_first_flux_lora_v1: 16%|█▌ | 158/1000 [08:37<40:35, 2.89s/it, lr: 1.0e-04 loss: 4.188e-01]
my_first_flux_lora_v1: 16%|█▌ | 159/1000 [08:37<35:54, 2.56s/it, lr: 1.0e-04 loss: 4.188e-01]
my_first_flux_lora_v1: 16%|█▌ | 159/1000 [08:40<35:54, 2.56s/it, lr: 1.0e-04 loss: 5.351e-01]
my_first_flux_lora_v1: 16%|█▌ | 160/1000 [08:40<36:22, 2.60s/it, lr: 1.0e-04 loss: 5.351e-01]
my_first_flux_lora_v1: 16%|█▌ | 160/1000 [08:43<36:22, 2.60s/it, lr: 1.0e-04 loss: 4.414e-01]
my_first_flux_lora_v1: 16%|█▌ | 161/1000 [08:43<36:04, 2.58s/it, lr: 1.0e-04 loss: 4.414e-01]
my_first_flux_lora_v1: 16%|█▌ | 161/1000 [08:45<36:04, 2.58s/it, lr: 1.0e-04 loss: 5.666e-01]
my_first_flux_lora_v1: 16%|█▌ | 162/1000 [08:45<33:07, 2.37s/it, lr: 1.0e-04 loss: 5.666e-01]
my_first_flux_lora_v1: 16%|█▌ | 162/1000 [08:47<33:07, 2.37s/it, lr: 1.0e-04 loss: 4.001e-01]
my_first_flux_lora_v1: 16%|█▋ | 163/1000 [08:47<33:34, 2.41s/it, lr: 1.0e-04 loss: 4.001e-01]
my_first_flux_lora_v1: 16%|█▋ | 163/1000 [08:50<33:34, 2.41s/it, lr: 1.0e-04 loss: 5.125e-01]
my_first_flux_lora_v1: 16%|█▋ | 164/1000 [08:50<34:29, 2.47s/it, lr: 1.0e-04 loss: 5.125e-01]
my_first_flux_lora_v1: 16%|█▋ | 164/1000 [08:52<34:29, 2.47s/it, lr: 1.0e-04 loss: 4.129e-01]
my_first_flux_lora_v1: 16%|█▋ | 165/1000 [08:52<34:17, 2.46s/it, lr: 1.0e-04 loss: 4.129e-01]
my_first_flux_lora_v1: 16%|█▋ | 165/1000 [08:57<34:17, 2.46s/it, lr: 1.0e-04 loss: 5.919e-01]
my_first_flux_lora_v1: 17%|█▋ | 166/1000 [08:57<42:00, 3.02s/it, lr: 1.0e-04 loss: 5.919e-01]
my_first_flux_lora_v1: 17%|█▋ | 166/1000 [08:59<42:00, 3.02s/it, lr: 1.0e-04 loss: 6.308e-01]
my_first_flux_lora_v1: 17%|█▋ | 167/1000 [08:59<39:51, 2.87s/it, lr: 1.0e-04 loss: 6.308e-01]
my_first_flux_lora_v1: 17%|█▋ | 167/1000 [09:02<39:51, 2.87s/it, lr: 1.0e-04 loss: 5.141e-01]
my_first_flux_lora_v1: 17%|█▋ | 168/1000 [09:02<39:05, 2.82s/it, lr: 1.0e-04 loss: 5.141e-01]
my_first_flux_lora_v1: 17%|█▋ | 168/1000 [09:08<39:05, 2.82s/it, lr: 1.0e-04 loss: 4.970e-01]
my_first_flux_lora_v1: 17%|█▋ | 169/1000 [09:08<54:02, 3.90s/it, lr: 1.0e-04 loss: 4.970e-01]
my_first_flux_lora_v1: 17%|█▋ | 169/1000 [09:12<54:02, 3.90s/it, lr: 1.0e-04 loss: 3.834e-01]
my_first_flux_lora_v1: 17%|█▋ | 170/1000 [09:12<53:05, 3.84s/it, lr: 1.0e-04 loss: 3.834e-01]
my_first_flux_lora_v1: 17%|█▋ | 170/1000 [09:14<53:05, 3.84s/it, lr: 1.0e-04 loss: 4.979e-01]
my_first_flux_lora_v1: 17%|█▋ | 171/1000 [09:14<44:33, 3.22s/it, lr: 1.0e-04 loss: 4.979e-01]
my_first_flux_lora_v1: 17%|█▋ | 171/1000 [09:18<44:33, 3.22s/it, lr: 1.0e-04 loss: 3.570e-01]
my_first_flux_lora_v1: 17%|█▋ | 172/1000 [09:18<47:12, 3.42s/it, lr: 1.0e-04 loss: 3.570e-01]
my_first_flux_lora_v1: 17%|█▋ | 172/1000 [09:19<47:12, 3.42s/it, lr: 1.0e-04 loss: 5.781e-01]
my_first_flux_lora_v1: 17%|█▋ | 173/1000 [09:19<39:57, 2.90s/it, lr: 1.0e-04 loss: 5.781e-01]
my_first_flux_lora_v1: 17%|█▋ | 173/1000 [09:21<39:57, 2.90s/it, lr: 1.0e-04 loss: 5.647e-01]
my_first_flux_lora_v1: 17%|█▋ | 174/1000 [09:21<34:05, 2.48s/it, lr: 1.0e-04 loss: 5.647e-01]
my_first_flux_lora_v1: 17%|█▋ | 174/1000 [09:23<34:05, 2.48s/it, lr: 1.0e-04 loss: 5.099e-01]
my_first_flux_lora_v1: 18%|█▊ | 175/1000 [09:23<34:14, 2.49s/it, lr: 1.0e-04 loss: 5.099e-01]
my_first_flux_lora_v1: 18%|█▊ | 175/1000 [09:27<34:14, 2.49s/it, lr: 1.0e-04 loss: 2.966e-01]
my_first_flux_lora_v1: 18%|█▊ | 176/1000 [09:27<40:37, 2.96s/it, lr: 1.0e-04 loss: 2.966e-01]
my_first_flux_lora_v1: 18%|█▊ | 176/1000 [09:34<40:37, 2.96s/it, lr: 1.0e-04 loss: 2.808e-01]
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Saved to output/my_first_flux_lora_v1/optimizer.pt
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[A
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Saved to output/my_first_flux_lora_v1/optimizer.pt
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[A
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Saved to output/my_first_flux_lora_v1/optimizer.pt
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