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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": 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": 1000,
"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 joslora holding a sign that says 'I LOVE PROMPTS!'",
"Professional headshot of joslora in a business suit.",
"A happy pilot joslora of a Boeing 747.",
"A doctor joslora talking to a patient.",
"A chef joslora in the middle of a bustling kitchen, plating a beautifully arranged dish.",
"A young joslora with a big grin, holding a large ice cream cone in front of an old-fashioned ice cream parlor.",
"A person joslora in a tuxedo, looking directly into the camera with a confident smile, standing on a red carpet at a gala event.",
"Person joslora 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": "joslora"
}
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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Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 9.33it/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%|██████████| 8/8 [00:00<00:00, 219.62it/s]
- Found 8 images
Bucket sizes for /workspace/ai-toolkit/images:
576x384: 8 files
1 buckets made
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- Saving latents to disk
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Dataset: /workspace/ai-toolkit/images
- Preprocessing image dimensions
0%| | 0/8 [00:00<?, ?it/s]
100%|██████████| 8/8 [00:00<00:00, 50610.00it/s]
- Found 8 images
Bucket sizes for /workspace/ai-toolkit/images:
832x576: 8 files
1 buckets made
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- Saving latents to disk
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Dataset: /workspace/ai-toolkit/images
- Preprocessing image dimensions
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100%|██████████| 8/8 [00:00<00:00, 63670.65it/s]
- Found 8 images
Bucket sizes for /workspace/ai-toolkit/images:
1216x832: 8 files
1 buckets made
Caching latents for /workspace/ai-toolkit/images
- Saving latents to disk
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Caching latents to disk: 100%|██████████| 8/8 [00:01<00:00, 7.99it/s]
Generating baseline samples before training
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Generating Images: 75%|███████▌ | 6/8 [02:16<00:43, 21.59s/it]
Generating Images: 88%|████████▊ | 7/8 [02:37<00:21, 21.40s/it]
Generating Images: 100%|██████████| 8/8 [02:58<00:00, 21.31s/it]
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my_first_flux_lora_v1: 4%|▍ | 40/1000 [01:31<38:04, 2.38s/it, lr: 4.0e-04 loss: 5.687e-01]
my_first_flux_lora_v1: 4%|▍ | 41/1000 [01:31<35:25, 2.22s/it, lr: 4.0e-04 loss: 5.687e-01]
my_first_flux_lora_v1: 4%|▍ | 41/1000 [01:33<35:25, 2.22s/it, lr: 4.0e-04 loss: 3.687e-01]
my_first_flux_lora_v1: 4%|▍ | 42/1000 [01:33<30:44, 1.93s/it, lr: 4.0e-04 loss: 3.687e-01]
my_first_flux_lora_v1: 4%|▍ | 42/1000 [01:34<30:44, 1.93s/it, lr: 4.0e-04 loss: 4.176e-01]
my_first_flux_lora_v1: 4%|▍ | 43/1000 [01:34<27:04, 1.70s/it, lr: 4.0e-04 loss: 4.176e-01]
my_first_flux_lora_v1: 4%|▍ | 43/1000 [01:36<27:04, 1.70s/it, lr: 4.0e-04 loss: 3.429e-01]
my_first_flux_lora_v1: 4%|▍ | 44/1000 [01:36<27:43, 1.74s/it, lr: 4.0e-04 loss: 3.429e-01]
my_first_flux_lora_v1: 4%|▍ | 44/1000 [01:39<27:43, 1.74s/it, lr: 4.0e-04 loss: 2.489e-01]
my_first_flux_lora_v1: 4%|▍ | 45/1000 [01:39<35:47, 2.25s/it, lr: 4.0e-04 loss: 2.489e-01]
my_first_flux_lora_v1: 4%|▍ | 45/1000 [01:43<35:47, 2.25s/it, lr: 4.0e-04 loss: 3.435e-01]
my_first_flux_lora_v1: 5%|▍ | 46/1000 [01:43<41:24, 2.60s/it, lr: 4.0e-04 loss: 3.435e-01]
my_first_flux_lora_v1: 5%|▍ | 46/1000 [01:44<41:24, 2.60s/it, lr: 4.0e-04 loss: 2.948e-01]
my_first_flux_lora_v1: 5%|▍ | 47/1000 [01:44<35:03, 2.21s/it, lr: 4.0e-04 loss: 2.948e-01]
my_first_flux_lora_v1: 5%|▍ | 47/1000 [01:45<35:03, 2.21s/it, lr: 4.0e-04 loss: 4.372e-01]
my_first_flux_lora_v1: 5%|▍ | 48/1000 [01:45<30:07, 1.90s/it, lr: 4.0e-04 loss: 4.372e-01]
my_first_flux_lora_v1: 5%|▍ | 48/1000 [01:49<30:07, 1.90s/it, lr: 4.0e-04 loss: 5.588e-01]
my_first_flux_lora_v1: 5%|▍ | 49/1000 [01:49<37:24, 2.36s/it, lr: 4.0e-04 loss: 5.588e-01]
my_first_flux_lora_v1: 5%|▍ | 49/1000 [01:51<37:24, 2.36s/it, lr: 4.0e-04 loss: 4.717e-01]
my_first_flux_lora_v1: 5%|▌ | 50/1000 [01:51<34:52, 2.20s/it, lr: 4.0e-04 loss: 4.717e-01]
my_first_flux_lora_v1: 5%|▌ | 50/1000 [01:52<34:52, 2.20s/it, lr: 4.0e-04 loss: 3.306e-01]
my_first_flux_lora_v1: 5%|▌ | 51/1000 [01:52<33:40, 2.13s/it, lr: 4.0e-04 loss: 3.306e-01]
my_first_flux_lora_v1: 5%|▌ | 51/1000 [01:54<33:40, 2.13s/it, lr: 4.0e-04 loss: 3.345e-01]
my_first_flux_lora_v1: 5%|▌ | 52/1000 [01:54<29:04, 1.84s/it, lr: 4.0e-04 loss: 3.345e-01]
my_first_flux_lora_v1: 5%|▌ | 52/1000 [01:57<29:04, 1.84s/it, lr: 4.0e-04 loss: 5.235e-01]
my_first_flux_lora_v1: 5%|▌ | 53/1000 [01:57<36:36, 2.32s/it, lr: 4.0e-04 loss: 5.235e-01]
my_first_flux_lora_v1: 5%|▌ | 53/1000 [02:00<36:36, 2.32s/it, lr: 4.0e-04 loss: 2.301e-01]
my_first_flux_lora_v1: 5%|▌ | 54/1000 [02:00<41:51, 2.65s/it, lr: 4.0e-04 loss: 2.301e-01]
my_first_flux_lora_v1: 5%|▌ | 54/1000 [02:02<41:51, 2.65s/it, lr: 4.0e-04 loss: 3.550e-01]
my_first_flux_lora_v1: 6%|▌ | 55/1000 [02:02<35:14, 2.24s/it, lr: 4.0e-04 loss: 3.550e-01]
my_first_flux_lora_v1: 6%|▌ | 55/1000 [02:03<35:14, 2.24s/it, lr: 4.0e-04 loss: 7.716e-01]
my_first_flux_lora_v1: 6%|▌ | 56/1000 [02:03<30:08, 1.92s/it, lr: 4.0e-04 loss: 7.716e-01]
my_first_flux_lora_v1: 6%|▌ | 56/1000 [02:06<30:08, 1.92s/it, lr: 4.0e-04 loss: 5.866e-01]
my_first_flux_lora_v1: 6%|▌ | 57/1000 [02:06<37:18, 2.37s/it, lr: 4.0e-04 loss: 5.866e-01]
my_first_flux_lora_v1: 6%|▌ | 57/1000 [02:10<37:18, 2.37s/it, lr: 4.0e-04 loss: 5.023e-01]
my_first_flux_lora_v1: 6%|▌ | 58/1000 [02:10<42:16, 2.69s/it, lr: 4.0e-04 loss: 5.023e-01]
my_first_flux_lora_v1: 6%|▌ | 58/1000 [02:12<42:16, 2.69s/it, lr: 4.0e-04 loss: 2.660e-01]
my_first_flux_lora_v1: 6%|▌ | 59/1000 [02:12<38:33, 2.46s/it, lr: 4.0e-04 loss: 2.660e-01]
my_first_flux_lora_v1: 6%|▌ | 59/1000 [02:15<38:33, 2.46s/it, lr: 4.0e-04 loss: 5.648e-01]
my_first_flux_lora_v1: 6%|▌ | 60/1000 [02:15<43:06, 2.75s/it, lr: 4.0e-04 loss: 5.648e-01]
my_first_flux_lora_v1: 6%|▌ | 60/1000 [02:16<43:06, 2.75s/it, lr: 4.0e-04 loss: 2.837e-01]
my_first_flux_lora_v1: 6%|▌ | 61/1000 [02:16<35:37, 2.28s/it, lr: 4.0e-04 loss: 2.837e-01]
my_first_flux_lora_v1: 6%|▌ | 61/1000 [02:20<35:37, 2.28s/it, lr: 4.0e-04 loss: 4.428e-01]
my_first_flux_lora_v1: 6%|▌ | 62/1000 [02:20<41:01, 2.62s/it, lr: 4.0e-04 loss: 4.428e-01]
my_first_flux_lora_v1: 6%|▌ | 62/1000 [02:21<41:01, 2.62s/it, lr: 4.0e-04 loss: 4.028e-01]
my_first_flux_lora_v1: 6%|▋ | 63/1000 [02:21<34:31, 2.21s/it, lr: 4.0e-04 loss: 4.028e-01]
my_first_flux_lora_v1: 6%|▋ | 63/1000 [02:22<34:31, 2.21s/it, lr: 4.0e-04 loss: 4.201e-01]
my_first_flux_lora_v1: 6%|▋ | 64/1000 [02:22<29:35, 1.90s/it, lr: 4.0e-04 loss: 4.201e-01]
my_first_flux_lora_v1: 6%|▋ | 64/1000 [02:24<29:35, 1.90s/it, lr: 4.0e-04 loss: 4.452e-01]
my_first_flux_lora_v1: 6%|▋ | 65/1000 [02:24<29:16, 1.88s/it, lr: 4.0e-04 loss: 4.452e-01]
my_first_flux_lora_v1: 6%|▋ | 65/1000 [02:26<29:16, 1.88s/it, lr: 4.0e-04 loss: 2.741e-01]
my_first_flux_lora_v1: 7%|▋ | 66/1000 [02:26<29:02, 1.87s/it, lr: 4.0e-04 loss: 2.741e-01]
my_first_flux_lora_v1: 7%|▋ | 66/1000 [02:27<29:02, 1.87s/it, lr: 4.0e-04 loss: 4.542e-01]
my_first_flux_lora_v1: 7%|▋ | 67/1000 [02:27<26:05, 1.68s/it, lr: 4.0e-04 loss: 4.542e-01]
my_first_flux_lora_v1: 7%|▋ | 67/1000 [02:29<26:05, 1.68s/it, lr: 4.0e-04 loss: 3.471e-01]
my_first_flux_lora_v1: 7%|▋ | 68/1000 [02:29<26:48, 1.73s/it, lr: 4.0e-04 loss: 3.471e-01]
my_first_flux_lora_v1: 7%|▋ | 68/1000 [02:32<26:48, 1.73s/it, lr: 4.0e-04 loss: 2.542e-01]
my_first_flux_lora_v1: 7%|▋ | 69/1000 [02:32<34:45, 2.24s/it, lr: 4.0e-04 loss: 2.542e-01]
my_first_flux_lora_v1: 7%|▋ | 69/1000 [02:34<34:45, 2.24s/it, lr: 4.0e-04 loss: 5.236e-01]
my_first_flux_lora_v1: 7%|▋ | 70/1000 [02:34<32:51, 2.12s/it, lr: 4.0e-04 loss: 5.236e-01]
my_first_flux_lora_v1: 7%|▋ | 70/1000 [02:36<32:51, 2.12s/it, lr: 4.0e-04 loss: 4.934e-01]
my_first_flux_lora_v1: 7%|▋ | 71/1000 [02:36<31:43, 2.05s/it, lr: 4.0e-04 loss: 4.934e-01]
my_first_flux_lora_v1: 7%|▋ | 71/1000 [02:40<31:43, 2.05s/it, lr: 4.0e-04 loss: 2.692e-01]
my_first_flux_lora_v1: 7%|▋ | 72/1000 [02:40<38:09, 2.47s/it, lr: 4.0e-04 loss: 2.692e-01]
my_first_flux_lora_v1: 7%|▋ | 72/1000 [02:41<38:09, 2.47s/it, lr: 4.0e-04 loss: 2.692e-01]
my_first_flux_lora_v1: 7%|▋ | 73/1000 [02:41<32:04, 2.08s/it, lr: 4.0e-04 loss: 2.692e-01]
my_first_flux_lora_v1: 7%|▋ | 73/1000 [02:43<32:04, 2.08s/it, lr: 4.0e-04 loss: 2.509e-01]
my_first_flux_lora_v1: 7%|▋ | 74/1000 [02:43<30:55, 2.00s/it, lr: 4.0e-04 loss: 2.509e-01]
my_first_flux_lora_v1: 7%|▋ | 74/1000 [02:44<30:55, 2.00s/it, lr: 4.0e-04 loss: 4.369e-01]
my_first_flux_lora_v1: 8%|▊ | 75/1000 [02:44<27:00, 1.75s/it, lr: 4.0e-04 loss: 4.369e-01]
my_first_flux_lora_v1: 8%|▊ | 75/1000 [02:45<27:00, 1.75s/it, lr: 4.0e-04 loss: 5.143e-01]
my_first_flux_lora_v1: 8%|▊ | 76/1000 [02:45<24:51, 1.61s/it, lr: 4.0e-04 loss: 5.143e-01]
my_first_flux_lora_v1: 8%|▊ | 76/1000 [02:49<24:51, 1.61s/it, lr: 4.0e-04 loss: 3.736e-01]
my_first_flux_lora_v1: 8%|▊ | 77/1000 [02:49<33:14, 2.16s/it, lr: 4.0e-04 loss: 3.736e-01]
my_first_flux_lora_v1: 8%|▊ | 77/1000 [02:52<33:14, 2.16s/it, lr: 4.0e-04 loss: 5.189e-01]
my_first_flux_lora_v1: 8%|▊ | 78/1000 [02:52<39:04, 2.54s/it, lr: 4.0e-04 loss: 5.189e-01]
my_first_flux_lora_v1: 8%|▊ | 78/1000 [02:54<39:04, 2.54s/it, lr: 4.0e-04 loss: 5.153e-01]
my_first_flux_lora_v1: 8%|▊ | 79/1000 [02:54<35:46, 2.33s/it, lr: 4.0e-04 loss: 5.153e-01]
my_first_flux_lora_v1: 8%|▊ | 79/1000 [02:56<35:46, 2.33s/it, lr: 4.0e-04 loss: 3.507e-01]
my_first_flux_lora_v1: 8%|▊ | 80/1000 [02:56<33:48, 2.20s/it, lr: 4.0e-04 loss: 3.507e-01]
my_first_flux_lora_v1: 8%|▊ | 80/1000 [02:58<33:48, 2.20s/it, lr: 4.0e-04 loss: 3.192e-01]
my_first_flux_lora_v1: 8%|▊ | 81/1000 [02:58<32:04, 2.09s/it, lr: 4.0e-04 loss: 3.192e-01]
my_first_flux_lora_v1: 8%|▊ | 81/1000 [02:59<32:04, 2.09s/it, lr: 4.0e-04 loss: 2.735e-01]
my_first_flux_lora_v1: 8%|▊ | 82/1000 [02:59<30:50, 2.02s/it, lr: 4.0e-04 loss: 2.735e-01]
my_first_flux_lora_v1: 8%|▊ | 82/1000 [03:01<30:50, 2.02s/it, lr: 4.0e-04 loss: 2.766e-01]
my_first_flux_lora_v1: 8%|▊ | 83/1000 [03:01<29:59, 1.96s/it, lr: 4.0e-04 loss: 2.766e-01]
my_first_flux_lora_v1: 8%|▊ | 83/1000 [03:05<29:59, 1.96s/it, lr: 4.0e-04 loss: 2.754e-01]
my_first_flux_lora_v1: 8%|▊ | 84/1000 [03:05<36:52, 2.42s/it, lr: 4.0e-04 loss: 2.754e-01]
my_first_flux_lora_v1: 8%|▊ | 84/1000 [03:07<36:52, 2.42s/it, lr: 4.0e-04 loss: 2.506e-01]
my_first_flux_lora_v1: 8%|▊ | 85/1000 [03:07<34:11, 2.24s/it, lr: 4.0e-04 loss: 2.506e-01]
my_first_flux_lora_v1: 8%|▊ | 85/1000 [03:08<34:11, 2.24s/it, lr: 4.0e-04 loss: 3.370e-01]
my_first_flux_lora_v1: 9%|▊ | 86/1000 [03:08<29:14, 1.92s/it, lr: 4.0e-04 loss: 3.370e-01]
my_first_flux_lora_v1: 9%|▊ | 86/1000 [03:09<29:14, 1.92s/it, lr: 4.0e-04 loss: 2.752e-01]
my_first_flux_lora_v1: 9%|▊ | 87/1000 [03:09<25:46, 1.69s/it, lr: 4.0e-04 loss: 2.752e-01]
my_first_flux_lora_v1: 9%|▊ | 87/1000 [03:12<25:46, 1.69s/it, lr: 4.0e-04 loss: 2.967e-01]
my_first_flux_lora_v1: 9%|▉ | 88/1000 [03:12<33:41, 2.22s/it, lr: 4.0e-04 loss: 2.967e-01]
my_first_flux_lora_v1: 9%|▉ | 88/1000 [03:14<33:41, 2.22s/it, lr: 4.0e-04 loss: 4.369e-01]
my_first_flux_lora_v1: 9%|▉ | 89/1000 [03:14<28:52, 1.90s/it, lr: 4.0e-04 loss: 4.369e-01]
my_first_flux_lora_v1: 9%|▉ | 89/1000 [03:15<28:52, 1.90s/it, lr: 4.0e-04 loss: 2.738e-01]
my_first_flux_lora_v1: 9%|▉ | 90/1000 [03:15<25:29, 1.68s/it, lr: 4.0e-04 loss: 2.738e-01]
my_first_flux_lora_v1: 9%|▉ | 90/1000 [03:18<25:29, 1.68s/it, lr: 4.0e-04 loss: 5.026e-01]
my_first_flux_lora_v1: 9%|▉ | 91/1000 [03:18<33:26, 2.21s/it, lr: 4.0e-04 loss: 5.026e-01]
my_first_flux_lora_v1: 9%|▉ | 91/1000 [03:19<33:26, 2.21s/it, lr: 4.0e-04 loss: 2.797e-01]
my_first_flux_lora_v1: 9%|▉ | 92/1000 [03:19<29:06, 1.92s/it, lr: 4.0e-04 loss: 2.797e-01]
my_first_flux_lora_v1: 9%|▉ | 92/1000 [03:21<29:06, 1.92s/it, lr: 4.0e-04 loss: 2.574e-01]
my_first_flux_lora_v1: 9%|▉ | 93/1000 [03:21<28:40, 1.90s/it, lr: 4.0e-04 loss: 2.574e-01]
my_first_flux_lora_v1: 9%|▉ | 93/1000 [03:25<28:40, 1.90s/it, lr: 4.0e-04 loss: 5.294e-01]
my_first_flux_lora_v1: 9%|▉ | 94/1000 [03:25<35:36, 2.36s/it, lr: 4.0e-04 loss: 5.294e-01]
my_first_flux_lora_v1: 9%|▉ | 94/1000 [03:28<35:36, 2.36s/it, lr: 4.0e-04 loss: 2.627e-01]
my_first_flux_lora_v1: 10%|▉ | 95/1000 [03:28<40:26, 2.68s/it, lr: 4.0e-04 loss: 2.627e-01]
my_first_flux_lora_v1: 10%|▉ | 95/1000 [03:30<40:26, 2.68s/it, lr: 4.0e-04 loss: 4.470e-01]
my_first_flux_lora_v1: 10%|▉ | 96/1000 [03:30<37:09, 2.47s/it, lr: 4.0e-04 loss: 4.470e-01]
my_first_flux_lora_v1: 10%|▉ | 96/1000 [03:32<37:09, 2.47s/it, lr: 4.0e-04 loss: 2.769e-01]
my_first_flux_lora_v1: 10%|▉ | 97/1000 [03:32<34:16, 2.28s/it, lr: 4.0e-04 loss: 2.769e-01]
my_first_flux_lora_v1: 10%|▉ | 97/1000 [03:33<34:16, 2.28s/it, lr: 4.0e-04 loss: 2.552e-01]
my_first_flux_lora_v1: 10%|▉ | 98/1000 [03:33<29:13, 1.94s/it, lr: 4.0e-04 loss: 2.552e-01]
my_first_flux_lora_v1: 10%|▉ | 98/1000 [03:35<29:13, 1.94s/it, lr: 4.0e-04 loss: 2.529e-01]
my_first_flux_lora_v1: 10%|▉ | 99/1000 [03:35<28:42, 1.91s/it, lr: 4.0e-04 loss: 2.529e-01]
my_first_flux_lora_v1: 10%|▉ | 99/1000 [03:37<28:42, 1.91s/it, lr: 4.0e-04 loss: 3.775e-01]
my_first_flux_lora_v1: 10%|█ | 100/1000 [03:38<28:40, 1.91s/it, lr: 4.0e-04 loss: 5.043e-01]
my_first_flux_lora_v1: 10%|█ | 101/1000 [03:38<19:27, 1.30s/it, lr: 4.0e-04 loss: 5.043e-01]
my_first_flux_lora_v1: 10%|█ | 101/1000 [03:40<19:27, 1.30s/it, lr: 4.0e-04 loss: 5.407e-01]
my_first_flux_lora_v1: 10%|█ | 102/1000 [03:40<21:25, 1.43s/it, lr: 4.0e-04 loss: 5.407e-01]
my_first_flux_lora_v1: 10%|█ | 102/1000 [03:44<21:25, 1.43s/it, lr: 4.0e-04 loss: 5.150e-01]
my_first_flux_lora_v1: 10%|█ | 103/1000 [03:44<29:13, 1.96s/it, lr: 4.0e-04 loss: 5.150e-01]
my_first_flux_lora_v1: 10%|█ | 103/1000 [03:45<29:13, 1.96s/it, lr: 4.0e-04 loss: 3.207e-01]
my_first_flux_lora_v1: 10%|█ | 104/1000 [03:45<25:59, 1.74s/it, lr: 4.0e-04 loss: 3.207e-01]
my_first_flux_lora_v1: 10%|█ | 104/1000 [03:47<25:59, 1.74s/it, lr: 4.0e-04 loss: 2.400e-01]
my_first_flux_lora_v1: 10%|█ | 105/1000 [03:47<26:42, 1.79s/it, lr: 4.0e-04 loss: 2.400e-01]
my_first_flux_lora_v1: 10%|█ | 105/1000 [03:48<26:42, 1.79s/it, lr: 4.0e-04 loss: 3.639e-01]
my_first_flux_lora_v1: 11%|█ | 106/1000 [03:48<24:01, 1.61s/it, lr: 4.0e-04 loss: 3.639e-01]
my_first_flux_lora_v1: 11%|█ | 106/1000 [03:51<24:01, 1.61s/it, lr: 4.0e-04 loss: 4.759e-01]
my_first_flux_lora_v1: 11%|█ | 107/1000 [03:51<31:51, 2.14s/it, lr: 4.0e-04 loss: 4.759e-01]
my_first_flux_lora_v1: 11%|█ | 107/1000 [03:52<31:51, 2.14s/it, lr: 4.0e-04 loss: 4.216e-01]
my_first_flux_lora_v1: 11%|█ | 108/1000 [03:52<27:34, 1.86s/it, lr: 4.0e-04 loss: 4.216e-01]
my_first_flux_lora_v1: 11%|█ | 108/1000 [03:56<27:34, 1.86s/it, lr: 4.0e-04 loss: 5.558e-01]
my_first_flux_lora_v1: 11%|█ | 109/1000 [03:56<34:28, 2.32s/it, lr: 4.0e-04 loss: 5.558e-01]
my_first_flux_lora_v1: 11%|█ | 109/1000 [03:59<34:28, 2.32s/it, lr: 4.0e-04 loss: 4.346e-01]
my_first_flux_lora_v1: 11%|█ | 110/1000 [03:59<39:19, 2.65s/it, lr: 4.0e-04 loss: 4.346e-01]
my_first_flux_lora_v1: 11%|█ | 110/1000 [04:00<39:19, 2.65s/it, lr: 4.0e-04 loss: 3.213e-01]
my_first_flux_lora_v1: 11%|█ | 111/1000 [04:00<32:44, 2.21s/it, lr: 4.0e-04 loss: 3.213e-01]
my_first_flux_lora_v1: 11%|█ | 111/1000 [04:04<32:44, 2.21s/it, lr: 4.0e-04 loss: 4.236e-01]
my_first_flux_lora_v1: 11%|█ | 112/1000 [04:04<38:06, 2.57s/it, lr: 4.0e-04 loss: 4.236e-01]
my_first_flux_lora_v1: 11%|█ | 112/1000 [04:07<38:06, 2.57s/it, lr: 4.0e-04 loss: 2.264e-01]
my_first_flux_lora_v1: 11%|█▏ | 113/1000 [04:07<41:51, 2.83s/it, lr: 4.0e-04 loss: 2.264e-01]
my_first_flux_lora_v1: 11%|█▏ | 113/1000 [04:08<41:51, 2.83s/it, lr: 4.0e-04 loss: 3.403e-01]
my_first_flux_lora_v1: 11%|█▏ | 114/1000 [04:08<34:27, 2.33s/it, lr: 4.0e-04 loss: 3.403e-01]
my_first_flux_lora_v1: 11%|█▏ | 114/1000 [04:10<34:27, 2.33s/it, lr: 4.0e-04 loss: 3.791e-01]
my_first_flux_lora_v1: 12%|█▏ | 115/1000 [04:10<32:12, 2.18s/it, lr: 4.0e-04 loss: 3.791e-01]
my_first_flux_lora_v1: 12%|█▏ | 115/1000 [04:14<32:12, 2.18s/it, lr: 4.0e-04 loss: 4.982e-01]
my_first_flux_lora_v1: 12%|█▏ | 116/1000 [04:14<37:41, 2.56s/it, lr: 4.0e-04 loss: 4.982e-01]
my_first_flux_lora_v1: 12%|█▏ | 116/1000 [04:17<37:41, 2.56s/it, lr: 4.0e-04 loss: 5.539e-01]
my_first_flux_lora_v1: 12%|█▏ | 117/1000 [04:17<41:31, 2.82s/it, lr: 4.0e-04 loss: 5.539e-01]
my_first_flux_lora_v1: 12%|█▏ | 117/1000 [04:19<41:31, 2.82s/it, lr: 4.0e-04 loss: 2.841e-01]
my_first_flux_lora_v1: 12%|█▏ | 118/1000 [04:19<37:38, 2.56s/it, lr: 4.0e-04 loss: 2.841e-01]
my_first_flux_lora_v1: 12%|█▏ | 118/1000 [04:20<37:38, 2.56s/it, lr: 4.0e-04 loss: 2.678e-01]
my_first_flux_lora_v1: 12%|█▏ | 119/1000 [04:20<31:27, 2.14s/it, lr: 4.0e-04 loss: 2.678e-01]
my_first_flux_lora_v1: 12%|█▏ | 119/1000 [04:22<31:27, 2.14s/it, lr: 4.0e-04 loss: 2.740e-01]
my_first_flux_lora_v1: 12%|█▏ | 120/1000 [04:22<27:10, 1.85s/it, lr: 4.0e-04 loss: 2.740e-01]
my_first_flux_lora_v1: 12%|█▏ | 120/1000 [04:24<27:10, 1.85s/it, lr: 4.0e-04 loss: 3.480e-01]
my_first_flux_lora_v1: 12%|█▏ | 121/1000 [04:24<27:04, 1.85s/it, lr: 4.0e-04 loss: 3.480e-01]
my_first_flux_lora_v1: 12%|█▏ | 121/1000 [04:25<27:04, 1.85s/it, lr: 4.0e-04 loss: 3.676e-01]
my_first_flux_lora_v1: 12%|█▏ | 122/1000 [04:25<27:31, 1.88s/it, lr: 4.0e-04 loss: 3.676e-01]
my_first_flux_lora_v1: 12%|█▏ | 122/1000 [04:27<27:31, 1.88s/it, lr: 4.0e-04 loss: 2.465e-01]
my_first_flux_lora_v1: 12%|█▏ | 123/1000 [04:27<24:21, 1.67s/it, lr: 4.0e-04 loss: 2.465e-01]
my_first_flux_lora_v1: 12%|█▏ | 123/1000 [04:28<24:21, 1.67s/it, lr: 4.0e-04 loss: 2.887e-01]
my_first_flux_lora_v1: 12%|█▏ | 124/1000 [04:28<25:04, 1.72s/it, lr: 4.0e-04 loss: 2.887e-01]
my_first_flux_lora_v1: 12%|█▏ | 124/1000 [04:30<25:04, 1.72s/it, lr: 4.0e-04 loss: 2.430e-01]
my_first_flux_lora_v1: 12%|█▎ | 125/1000 [04:30<22:37, 1.55s/it, lr: 4.0e-04 loss: 2.430e-01]
my_first_flux_lora_v1: 12%|█▎ | 125/1000 [04:31<22:37, 1.55s/it, lr: 4.0e-04 loss: 3.832e-01]
my_first_flux_lora_v1: 13%|█▎ | 126/1000 [04:31<21:20, 1.47s/it, lr: 4.0e-04 loss: 3.832e-01]
my_first_flux_lora_v1: 13%|█▎ | 126/1000 [04:34<21:20, 1.47s/it, lr: 4.0e-04 loss: 5.356e-01]
my_first_flux_lora_v1: 13%|█▎ | 127/1000 [04:34<29:55, 2.06s/it, lr: 4.0e-04 loss: 5.356e-01]
my_first_flux_lora_v1: 13%|█▎ | 127/1000 [04:36<29:55, 2.06s/it, lr: 4.0e-04 loss: 4.091e-01]
my_first_flux_lora_v1: 13%|█▎ | 128/1000 [04:36<28:55, 1.99s/it, lr: 4.0e-04 loss: 4.091e-01]
my_first_flux_lora_v1: 13%|█▎ | 128/1000 [04:37<28:55, 1.99s/it, lr: 4.0e-04 loss: 2.498e-01]
my_first_flux_lora_v1: 13%|█▎ | 129/1000 [04:37<25:17, 1.74s/it, lr: 4.0e-04 loss: 2.498e-01]
my_first_flux_lora_v1: 13%|█▎ | 129/1000 [04:41<25:17, 1.74s/it, lr: 4.0e-04 loss: 5.106e-01]
my_first_flux_lora_v1: 13%|█▎ | 130/1000 [04:41<32:50, 2.26s/it, lr: 4.0e-04 loss: 5.106e-01]
my_first_flux_lora_v1: 13%|█▎ | 130/1000 [04:44<32:50, 2.26s/it, lr: 4.0e-04 loss: 2.465e-01]
my_first_flux_lora_v1: 13%|█▎ | 131/1000 [04:44<37:54, 2.62s/it, lr: 4.0e-04 loss: 2.465e-01]
my_first_flux_lora_v1: 13%|█▎ | 131/1000 [04:45<37:54, 2.62s/it, lr: 4.0e-04 loss: 3.190e-01]
my_first_flux_lora_v1: 13%|█▎ | 132/1000 [04:45<31:33, 2.18s/it, lr: 4.0e-04 loss: 3.190e-01]
my_first_flux_lora_v1: 13%|█▎ | 132/1000 [04:49<31:33, 2.18s/it, lr: 4.0e-04 loss: 2.171e-01]
my_first_flux_lora_v1: 13%|█▎ | 133/1000 [04:49<36:57, 2.56s/it, lr: 4.0e-04 loss: 2.171e-01]
my_first_flux_lora_v1: 13%|█▎ | 133/1000 [04:51<36:57, 2.56s/it, lr: 4.0e-04 loss: 2.636e-01]
my_first_flux_lora_v1: 13%|█▎ | 134/1000 [04:51<34:01, 2.36s/it, lr: 4.0e-04 loss: 2.636e-01]
my_first_flux_lora_v1: 13%|█▎ | 134/1000 [04:54<34:01, 2.36s/it, lr: 4.0e-04 loss: 2.659e-01]
my_first_flux_lora_v1: 14%|█▎ | 135/1000 [04:54<38:38, 2.68s/it, lr: 4.0e-04 loss: 2.659e-01]
my_first_flux_lora_v1: 14%|█▎ | 135/1000 [04:55<38:38, 2.68s/it, lr: 4.0e-04 loss: 5.037e-01]
my_first_flux_lora_v1: 14%|█▎ | 136/1000 [04:55<32:03, 2.23s/it, lr: 4.0e-04 loss: 5.037e-01]
my_first_flux_lora_v1: 14%|█▎ | 136/1000 [04:59<32:03, 2.23s/it, lr: 4.0e-04 loss: 2.820e-01]
my_first_flux_lora_v1: 14%|█▎ | 137/1000 [04:59<37:14, 2.59s/it, lr: 4.0e-04 loss: 2.820e-01]
my_first_flux_lora_v1: 14%|█▎ | 137/1000 [05:00<37:14, 2.59s/it, lr: 4.0e-04 loss: 3.508e-01]
my_first_flux_lora_v1: 14%|█▍ | 138/1000 [05:00<31:22, 2.18s/it, lr: 4.0e-04 loss: 3.508e-01]
my_first_flux_lora_v1: 14%|█▍ | 138/1000 [05:02<31:22, 2.18s/it, lr: 4.0e-04 loss: 4.969e-01]
my_first_flux_lora_v1: 14%|█▍ | 139/1000 [05:02<29:50, 2.08s/it, lr: 4.0e-04 loss: 4.969e-01]
my_first_flux_lora_v1: 14%|█▍ | 139/1000 [05:04<29:50, 2.08s/it, lr: 4.0e-04 loss: 4.907e-01]
my_first_flux_lora_v1: 14%|█▍ | 140/1000 [05:04<28:45, 2.01s/it, lr: 4.0e-04 loss: 4.907e-01]
my_first_flux_lora_v1: 14%|█▍ | 140/1000 [05:07<28:45, 2.01s/it, lr: 4.0e-04 loss: 2.314e-01]
my_first_flux_lora_v1: 14%|█▍ | 141/1000 [05:07<34:51, 2.43s/it, lr: 4.0e-04 loss: 2.314e-01]
my_first_flux_lora_v1: 14%|█▍ | 141/1000 [05:09<34:51, 2.43s/it, lr: 4.0e-04 loss: 5.087e-01]
my_first_flux_lora_v1: 14%|█▍ | 142/1000 [05:09<32:24, 2.27s/it, lr: 4.0e-04 loss: 5.087e-01]
my_first_flux_lora_v1: 14%|█▍ | 142/1000 [05:12<32:24, 2.27s/it, lr: 4.0e-04 loss: 5.747e-01]
my_first_flux_lora_v1: 14%|█▍ | 143/1000 [05:12<37:22, 2.62s/it, lr: 4.0e-04 loss: 5.747e-01]
my_first_flux_lora_v1: 14%|█▍ | 143/1000 [05:16<37:22, 2.62s/it, lr: 4.0e-04 loss: 2.358e-01]
my_first_flux_lora_v1: 14%|█▍ | 144/1000 [05:16<40:52, 2.87s/it, lr: 4.0e-04 loss: 2.358e-01]
my_first_flux_lora_v1: 14%|█▍ | 144/1000 [05:20<40:52, 2.87s/it, lr: 4.0e-04 loss: 5.599e-01]
my_first_flux_lora_v1: 14%|█▍ | 145/1000 [05:20<43:16, 3.04s/it, lr: 4.0e-04 loss: 5.599e-01]
my_first_flux_lora_v1: 14%|█▍ | 145/1000 [05:21<43:16, 3.04s/it, lr: 4.0e-04 loss: 2.450e-01]
my_first_flux_lora_v1: 15%|█▍ | 146/1000 [05:21<38:05, 2.68s/it, lr: 4.0e-04 loss: 2.450e-01]
my_first_flux_lora_v1: 15%|█▍ | 146/1000 [05:23<38:05, 2.68s/it, lr: 4.0e-04 loss: 5.359e-01]
my_first_flux_lora_v1: 15%|█▍ | 147/1000 [05:23<34:54, 2.46s/it, lr: 4.0e-04 loss: 5.359e-01]
my_first_flux_lora_v1: 15%|█▍ | 147/1000 [05:24<34:54, 2.46s/it, lr: 4.0e-04 loss: 3.208e-01]
my_first_flux_lora_v1: 15%|█▍ | 148/1000 [05:24<29:22, 2.07s/it, lr: 4.0e-04 loss: 3.208e-01]
my_first_flux_lora_v1: 15%|█▍ | 148/1000 [05:26<29:22, 2.07s/it, lr: 4.0e-04 loss: 5.002e-01]
my_first_flux_lora_v1: 15%|█▍ | 149/1000 [05:26<28:20, 2.00s/it, lr: 4.0e-04 loss: 5.002e-01]
my_first_flux_lora_v1: 15%|█▍ | 149/1000 [05:27<28:20, 2.00s/it, lr: 4.0e-04 loss: 2.353e-01]
my_first_flux_lora_v1: 15%|█▌ | 150/1000 [05:27<24:45, 1.75s/it, lr: 4.0e-04 loss: 2.353e-01]
my_first_flux_lora_v1: 15%|█▌ | 150/1000 [05:29<24:45, 1.75s/it, lr: 4.0e-04 loss: 4.786e-01]
my_first_flux_lora_v1: 15%|█▌ | 151/1000 [05:29<25:24, 1.80s/it, lr: 4.0e-04 loss: 4.786e-01]
my_first_flux_lora_v1: 15%|█▌ | 151/1000 [05:33<25:24, 1.80s/it, lr: 4.0e-04 loss: 5.823e-01]
my_first_flux_lora_v1: 15%|█▌ | 152/1000 [05:33<32:19, 2.29s/it, lr: 4.0e-04 loss: 5.823e-01]
my_first_flux_lora_v1: 15%|█▌ | 152/1000 [05:35<32:19, 2.29s/it, lr: 4.0e-04 loss: 2.900e-01]
my_first_flux_lora_v1: 15%|█▌ | 153/1000 [05:35<30:22, 2.15s/it, lr: 4.0e-04 loss: 2.900e-01]
my_first_flux_lora_v1: 15%|█▌ | 153/1000 [05:38<30:22, 2.15s/it, lr: 4.0e-04 loss: 4.741e-01]
my_first_flux_lora_v1: 15%|█▌ | 154/1000 [05:38<35:45, 2.54s/it, lr: 4.0e-04 loss: 4.741e-01]
my_first_flux_lora_v1: 15%|█▌ | 154/1000 [05:39<35:45, 2.54s/it, lr: 4.0e-04 loss: 3.387e-01]
my_first_flux_lora_v1: 16%|█▌ | 155/1000 [05:39<30:17, 2.15s/it, lr: 4.0e-04 loss: 3.387e-01]
my_first_flux_lora_v1: 16%|█▌ | 155/1000 [05:40<30:17, 2.15s/it, lr: 4.0e-04 loss: 2.438e-01]
my_first_flux_lora_v1: 16%|█▌ | 156/1000 [05:40<26:05, 1.86s/it, lr: 4.0e-04 loss: 2.438e-01]
my_first_flux_lora_v1: 16%|█▌ | 156/1000 [05:42<26:05, 1.86s/it, lr: 4.0e-04 loss: 3.872e-01]
my_first_flux_lora_v1: 16%|█▌ | 157/1000 [05:42<25:59, 1.85s/it, lr: 4.0e-04 loss: 3.872e-01]
my_first_flux_lora_v1: 16%|█▌ | 157/1000 [05:46<25:59, 1.85s/it, lr: 4.0e-04 loss: 4.349e-01]
my_first_flux_lora_v1: 16%|█▌ | 158/1000 [05:46<32:38, 2.33s/it, lr: 4.0e-04 loss: 4.349e-01]
my_first_flux_lora_v1: 16%|█▌ | 158/1000 [05:47<32:38, 2.33s/it, lr: 4.0e-04 loss: 4.698e-01]
my_first_flux_lora_v1: 16%|█▌ | 159/1000 [05:47<28:01, 2.00s/it, lr: 4.0e-04 loss: 4.698e-01]
my_first_flux_lora_v1: 16%|█▌ | 159/1000 [05:48<28:01, 2.00s/it, lr: 4.0e-04 loss: 2.558e-01]
my_first_flux_lora_v1: 16%|█▌ | 160/1000 [05:48<24:29, 1.75s/it, lr: 4.0e-04 loss: 2.558e-01]
my_first_flux_lora_v1: 16%|█▌ | 160/1000 [05:52<24:29, 1.75s/it, lr: 4.0e-04 loss: 5.695e-01]
my_first_flux_lora_v1: 16%|█▌ | 161/1000 [05:52<31:31, 2.25s/it, lr: 4.0e-04 loss: 5.695e-01]
my_first_flux_lora_v1: 16%|█▌ | 161/1000 [05:53<31:31, 2.25s/it, lr: 4.0e-04 loss: 5.144e-01]
my_first_flux_lora_v1: 16%|█▌ | 162/1000 [05:53<26:55, 1.93s/it, lr: 4.0e-04 loss: 5.144e-01]
my_first_flux_lora_v1: 16%|█▌ | 162/1000 [05:56<26:55, 1.93s/it, lr: 4.0e-04 loss: 5.650e-01]
my_first_flux_lora_v1: 16%|█▋ | 163/1000 [05:56<33:24, 2.39s/it, lr: 4.0e-04 loss: 5.650e-01]
my_first_flux_lora_v1: 16%|█▋ | 163/1000 [05:58<33:24, 2.39s/it, lr: 4.0e-04 loss: 5.425e-01]
my_first_flux_lora_v1: 16%|█▋ | 164/1000 [05:58<31:01, 2.23s/it, lr: 4.0e-04 loss: 5.425e-01]
my_first_flux_lora_v1: 16%|█▋ | 164/1000 [06:02<31:01, 2.23s/it, lr: 4.0e-04 loss: 2.540e-01]
my_first_flux_lora_v1: 16%|█▋ | 165/1000 [06:02<36:01, 2.59s/it, lr: 4.0e-04 loss: 2.540e-01]
my_first_flux_lora_v1: 16%|█▋ | 165/1000 [06:03<36:01, 2.59s/it, lr: 4.0e-04 loss: 5.269e-01]
my_first_flux_lora_v1: 17%|█▋ | 166/1000 [06:03<32:50, 2.36s/it, lr: 4.0e-04 loss: 5.269e-01]
my_first_flux_lora_v1: 17%|█▋ | 166/1000 [06:05<32:50, 2.36s/it, lr: 4.0e-04 loss: 4.734e-01]
my_first_flux_lora_v1: 17%|█▋ | 167/1000 [06:05<28:12, 2.03s/it, lr: 4.0e-04 loss: 4.734e-01]
my_first_flux_lora_v1: 17%|█▋ | 167/1000 [06:06<28:12, 2.03s/it, lr: 4.0e-04 loss: 4.286e-01]
my_first_flux_lora_v1: 17%|█▋ | 168/1000 [06:06<24:37, 1.78s/it, lr: 4.0e-04 loss: 4.286e-01]
my_first_flux_lora_v1: 17%|█▋ | 168/1000 [06:09<24:37, 1.78s/it, lr: 4.0e-04 loss: 3.450e-01]
my_first_flux_lora_v1: 17%|█▋ | 169/1000 [06:09<31:29, 2.27s/it, lr: 4.0e-04 loss: 3.450e-01]
my_first_flux_lora_v1: 17%|█▋ | 169/1000 [06:11<31:29, 2.27s/it, lr: 4.0e-04 loss: 2.281e-01]
my_first_flux_lora_v1: 17%|█▋ | 170/1000 [06:11<26:50, 1.94s/it, lr: 4.0e-04 loss: 2.281e-01]
my_first_flux_lora_v1: 17%|█▋ | 170/1000 [06:14<26:50, 1.94s/it, lr: 4.0e-04 loss: 2.103e-01]
my_first_flux_lora_v1: 17%|█▋ | 171/1000 [06:14<33:39, 2.44s/it, lr: 4.0e-04 loss: 2.103e-01]
my_first_flux_lora_v1: 17%|█▋ | 171/1000 [06:16<33:39, 2.44s/it, lr: 4.0e-04 loss: 2.920e-01]
my_first_flux_lora_v1: 17%|█▋ | 172/1000 [06:16<31:08, 2.26s/it, lr: 4.0e-04 loss: 2.920e-01]
my_first_flux_lora_v1: 17%|█▋ | 172/1000 [06:19<31:08, 2.26s/it, lr: 4.0e-04 loss: 3.445e-01]
my_first_flux_lora_v1: 17%|█▋ | 173/1000 [06:19<35:58, 2.61s/it, lr: 4.0e-04 loss: 3.445e-01]
my_first_flux_lora_v1: 17%|█▋ | 173/1000 [06:21<35:58, 2.61s/it, lr: 4.0e-04 loss: 5.305e-01]
my_first_flux_lora_v1: 17%|█▋ | 174/1000 [06:21<32:43, 2.38s/it, lr: 4.0e-04 loss: 5.305e-01]
my_first_flux_lora_v1: 17%|█▋ | 174/1000 [06:25<32:43, 2.38s/it, lr: 4.0e-04 loss: 4.877e-01]
my_first_flux_lora_v1: 18%|█▊ | 175/1000 [06:25<37:03, 2.69s/it, lr: 4.0e-04 loss: 4.877e-01]
my_first_flux_lora_v1: 18%|█▊ | 175/1000 [06:28<37:03, 2.69s/it, lr: 4.0e-04 loss: 5.182e-01]
my_first_flux_lora_v1: 18%|█▊ | 176/1000 [06:28<40:13, 2.93s/it, lr: 4.0e-04 loss: 5.182e-01]
my_first_flux_lora_v1: 18%|█▊ | 176/1000 [06:29<40:13, 2.93s/it, lr: 4.0e-04 loss: 2.811e-01]
my_first_flux_lora_v1: 18%|█▊ | 177/1000 [06:29<32:54, 2.40s/it, lr: 4.0e-04 loss: 2.811e-01]
my_first_flux_lora_v1: 18%|█▊ | 177/1000 [06:31<32:54, 2.40s/it, lr: 4.0e-04 loss: 4.341e-01]
my_first_flux_lora_v1: 18%|█▊ | 178/1000 [06:31<27:48, 2.03s/it, lr: 4.0e-04 loss: 4.341e-01]
my_first_flux_lora_v1: 18%|█▊ | 178/1000 [06:32<27:48, 2.03s/it, lr: 4.0e-04 loss: 3.732e-01]
my_first_flux_lora_v1: 18%|█▊ | 179/1000 [06:32<26:58, 1.97s/it, lr: 4.0e-04 loss: 3.732e-01]
my_first_flux_lora_v1: 18%|█▊ | 179/1000 [06:36<26:58, 1.97s/it, lr: 4.0e-04 loss: 2.581e-01]
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[A
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Saved to output/my_first_flux_lora_v1/optimizer.pt
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