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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: 1.4.16 (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/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 elinelora holding a sign that says 'I LOVE PROMPTS!'",
"Professional headshot of elinelora in a business suit.",
"A happy pilot elinelora of a Boeing 747.",
"A doctor elinelora talking to a patient.",
"A chef elinelora in the middle of a bustling kitchen, plating a beautifully arranged dish.",
"A young elinelora with a big grin, holding a large ice cream cone in front of an old-fashioned ice cream parlor.",
"A person elinelora in a tuxedo, looking directly into the camera with a confident smile, standing on a red carpet at a gala event.",
"Person elinelora 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": "elinelora"
}
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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Downloading shards: 50%|█████ | 1/2 [00:03<00:03, 3.93s/it]
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Downloading shards: 100%|██████████| 2/2 [00:15<00:00, 7.66s/it]
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Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 9.03it/s]
Quantizing T5
Loading clip
making pipe
preparing
create LoRA network. base dim (rank): 16, alpha: 16
neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
create LoRA for Text Encoder: 0 modules.
create LoRA for U-Net: 494 modules.
enable LoRA for U-Net
Dataset: /workspace/ai-toolkit/images
- Preprocessing image dimensions
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100%|██████████| 7/7 [00:00<00:00, 234.20it/s]
- Found 7 images
Bucket sizes for /workspace/ai-toolkit/images:
448x576: 7 files
1 buckets made
Caching latents for /workspace/ai-toolkit/images
- Saving latents to disk
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Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 8.37it/s]
Dataset: /workspace/ai-toolkit/images
- Preprocessing image dimensions
0%| | 0/7 [00:00<?, ?it/s]
100%|██████████| 7/7 [00:00<00:00, 51964.83it/s]
- Found 7 images
Bucket sizes for /workspace/ai-toolkit/images:
640x832: 7 files
1 buckets made
Caching latents for /workspace/ai-toolkit/images
- Saving latents to disk
Caching latents to disk: 0%| | 0/7 [00:00<?, ?it/s]
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Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 9.43it/s]
Dataset: /workspace/ai-toolkit/images
- Preprocessing image dimensions
0%| | 0/7 [00:00<?, ?it/s]
100%|██████████| 7/7 [00:00<00:00, 69573.76it/s]
- Found 7 images
Bucket sizes for /workspace/ai-toolkit/images:
832x1152: 7 files
1 buckets made
Caching latents for /workspace/ai-toolkit/images
- Saving latents to disk
Caching latents to disk: 0%| | 0/7 [00:00<?, ?it/s]
Caching latents to disk: 14%|█▍ | 1/7 [00:00<00:00, 6.47it/s]
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Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 7.09it/s]
Generating baseline samples before training
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Generating Images: 38%|███▊ | 3/8 [01:14<01:58, 23.62s/it]
Generating Images: 50%|█████ | 4/8 [01:35<01:30, 22.70s/it]
Generating Images: 62%|██████▎ | 5/8 [01:56<01:06, 22.19s/it]
Generating Images: 75%|███████▌ | 6/8 [02:18<00:43, 21.88s/it]
Generating Images: 88%|████████▊ | 7/8 [02:39<00:21, 21.69s/it]
Generating Images: 100%|██████████| 8/8 [03:00<00:00, 21.56s/it]
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my_first_flux_lora_v1: 4%|▍ | 39/1000 [01:25<25:57, 1.62s/it, lr: 4.0e-04 loss: 4.724e-01]
my_first_flux_lora_v1: 4%|▍ | 39/1000 [01:27<25:57, 1.62s/it, lr: 4.0e-04 loss: 5.604e-01]
my_first_flux_lora_v1: 4%|▍ | 40/1000 [01:27<27:23, 1.71s/it, lr: 4.0e-04 loss: 5.604e-01]
my_first_flux_lora_v1: 4%|▍ | 40/1000 [01:30<27:23, 1.71s/it, lr: 4.0e-04 loss: 6.771e-01]
my_first_flux_lora_v1: 4%|▍ | 41/1000 [01:30<34:43, 2.17s/it, lr: 4.0e-04 loss: 6.771e-01]
my_first_flux_lora_v1: 4%|▍ | 41/1000 [01:32<34:43, 2.17s/it, lr: 4.0e-04 loss: 3.790e-01]
my_first_flux_lora_v1: 4%|▍ | 42/1000 [01:32<30:10, 1.89s/it, lr: 4.0e-04 loss: 3.790e-01]
my_first_flux_lora_v1: 4%|▍ | 42/1000 [01:33<30:10, 1.89s/it, lr: 4.0e-04 loss: 5.483e-01]
my_first_flux_lora_v1: 4%|▍ | 43/1000 [01:33<27:35, 1.73s/it, lr: 4.0e-04 loss: 5.483e-01]
my_first_flux_lora_v1: 4%|▍ | 43/1000 [01:35<27:35, 1.73s/it, lr: 4.0e-04 loss: 5.592e-01]
my_first_flux_lora_v1: 4%|▍ | 44/1000 [01:35<28:29, 1.79s/it, lr: 4.0e-04 loss: 5.592e-01]
my_first_flux_lora_v1: 4%|▍ | 44/1000 [01:38<28:29, 1.79s/it, lr: 4.0e-04 loss: 3.675e-01]
my_first_flux_lora_v1: 4%|▍ | 45/1000 [01:38<35:26, 2.23s/it, lr: 4.0e-04 loss: 3.675e-01]
my_first_flux_lora_v1: 4%|▍ | 45/1000 [01:40<35:26, 2.23s/it, lr: 4.0e-04 loss: 2.965e-01]
my_first_flux_lora_v1: 5%|▍ | 46/1000 [01:40<33:58, 2.14s/it, lr: 4.0e-04 loss: 2.965e-01]
my_first_flux_lora_v1: 5%|▍ | 46/1000 [01:44<33:58, 2.14s/it, lr: 4.0e-04 loss: 5.860e-01]
my_first_flux_lora_v1: 5%|▍ | 47/1000 [01:44<39:27, 2.48s/it, lr: 4.0e-04 loss: 5.860e-01]
my_first_flux_lora_v1: 5%|▍ | 47/1000 [01:47<39:27, 2.48s/it, lr: 4.0e-04 loss: 2.777e-01]
my_first_flux_lora_v1: 5%|▍ | 48/1000 [01:47<43:02, 2.71s/it, lr: 4.0e-04 loss: 2.777e-01]
my_first_flux_lora_v1: 5%|▍ | 48/1000 [01:49<43:02, 2.71s/it, lr: 4.0e-04 loss: 6.106e-01]
my_first_flux_lora_v1: 5%|▍ | 49/1000 [01:49<39:15, 2.48s/it, lr: 4.0e-04 loss: 6.106e-01]
my_first_flux_lora_v1: 5%|▍ | 49/1000 [01:51<39:15, 2.48s/it, lr: 4.0e-04 loss: 5.022e-01]
my_first_flux_lora_v1: 5%|▌ | 50/1000 [01:51<36:35, 2.31s/it, lr: 4.0e-04 loss: 5.022e-01]
my_first_flux_lora_v1: 5%|▌ | 50/1000 [01:54<36:35, 2.31s/it, lr: 4.0e-04 loss: 4.371e-01]
my_first_flux_lora_v1: 5%|▌ | 51/1000 [01:54<41:11, 2.60s/it, lr: 4.0e-04 loss: 4.371e-01]
my_first_flux_lora_v1: 5%|▌ | 51/1000 [01:57<41:11, 2.60s/it, lr: 4.0e-04 loss: 5.754e-01]
my_first_flux_lora_v1: 5%|▌ | 52/1000 [01:57<44:11, 2.80s/it, lr: 4.0e-04 loss: 5.754e-01]
my_first_flux_lora_v1: 5%|▌ | 52/1000 [01:59<44:11, 2.80s/it, lr: 4.0e-04 loss: 5.120e-01]
my_first_flux_lora_v1: 5%|▌ | 53/1000 [01:59<40:01, 2.54s/it, lr: 4.0e-04 loss: 5.120e-01]
my_first_flux_lora_v1: 5%|▌ | 53/1000 [02:00<40:01, 2.54s/it, lr: 4.0e-04 loss: 3.730e-01]
my_first_flux_lora_v1: 5%|▌ | 54/1000 [02:00<33:45, 2.14s/it, lr: 4.0e-04 loss: 3.730e-01]
my_first_flux_lora_v1: 5%|▌ | 54/1000 [02:04<33:45, 2.14s/it, lr: 4.0e-04 loss: 6.138e-01]
my_first_flux_lora_v1: 6%|▌ | 55/1000 [02:04<38:56, 2.47s/it, lr: 4.0e-04 loss: 6.138e-01]
my_first_flux_lora_v1: 6%|▌ | 55/1000 [02:06<38:56, 2.47s/it, lr: 4.0e-04 loss: 4.799e-01]
my_first_flux_lora_v1: 6%|▌ | 56/1000 [02:06<36:19, 2.31s/it, lr: 4.0e-04 loss: 4.799e-01]
my_first_flux_lora_v1: 6%|▌ | 56/1000 [02:07<36:19, 2.31s/it, lr: 4.0e-04 loss: 5.853e-01]
my_first_flux_lora_v1: 6%|▌ | 57/1000 [02:07<31:09, 1.98s/it, lr: 4.0e-04 loss: 5.853e-01]
my_first_flux_lora_v1: 6%|▌ | 57/1000 [02:08<31:09, 1.98s/it, lr: 4.0e-04 loss: 4.951e-01]
my_first_flux_lora_v1: 6%|▌ | 58/1000 [02:08<27:32, 1.75s/it, lr: 4.0e-04 loss: 4.951e-01]
my_first_flux_lora_v1: 6%|▌ | 58/1000 [02:11<27:32, 1.75s/it, lr: 4.0e-04 loss: 6.190e-01]
my_first_flux_lora_v1: 6%|▌ | 59/1000 [02:11<34:31, 2.20s/it, lr: 4.0e-04 loss: 6.190e-01]
my_first_flux_lora_v1: 6%|▌ | 59/1000 [02:13<34:31, 2.20s/it, lr: 4.0e-04 loss: 5.235e-01]
my_first_flux_lora_v1: 6%|▌ | 60/1000 [02:13<33:34, 2.14s/it, lr: 4.0e-04 loss: 5.235e-01]
my_first_flux_lora_v1: 6%|▌ | 60/1000 [02:14<33:34, 2.14s/it, lr: 4.0e-04 loss: 5.698e-01]
my_first_flux_lora_v1: 6%|▌ | 61/1000 [02:14<29:12, 1.87s/it, lr: 4.0e-04 loss: 5.698e-01]
my_first_flux_lora_v1: 6%|▌ | 61/1000 [02:16<29:12, 1.87s/it, lr: 4.0e-04 loss: 5.213e-01]
my_first_flux_lora_v1: 6%|▌ | 62/1000 [02:16<26:09, 1.67s/it, lr: 4.0e-04 loss: 5.213e-01]
my_first_flux_lora_v1: 6%|▌ | 62/1000 [02:17<26:09, 1.67s/it, lr: 4.0e-04 loss: 4.181e-01]
my_first_flux_lora_v1: 6%|▋ | 63/1000 [02:17<24:03, 1.54s/it, lr: 4.0e-04 loss: 4.181e-01]
my_first_flux_lora_v1: 6%|▋ | 63/1000 [02:20<24:03, 1.54s/it, lr: 4.0e-04 loss: 3.416e-01]
my_first_flux_lora_v1: 6%|▋ | 64/1000 [02:20<32:25, 2.08s/it, lr: 4.0e-04 loss: 3.416e-01]
my_first_flux_lora_v1: 6%|▋ | 64/1000 [02:24<32:25, 2.08s/it, lr: 4.0e-04 loss: 3.457e-01]
my_first_flux_lora_v1: 6%|▋ | 65/1000 [02:24<37:50, 2.43s/it, lr: 4.0e-04 loss: 3.457e-01]
my_first_flux_lora_v1: 6%|▋ | 65/1000 [02:27<37:50, 2.43s/it, lr: 4.0e-04 loss: 3.232e-01]
my_first_flux_lora_v1: 7%|▋ | 66/1000 [02:27<41:37, 2.67s/it, lr: 4.0e-04 loss: 3.232e-01]
my_first_flux_lora_v1: 7%|▋ | 66/1000 [02:30<41:37, 2.67s/it, lr: 4.0e-04 loss: 5.657e-01]
my_first_flux_lora_v1: 7%|▋ | 67/1000 [02:30<44:15, 2.85s/it, lr: 4.0e-04 loss: 5.657e-01]
my_first_flux_lora_v1: 7%|▋ | 67/1000 [02:31<44:15, 2.85s/it, lr: 4.0e-04 loss: 5.270e-01]
my_first_flux_lora_v1: 7%|▋ | 68/1000 [02:31<37:04, 2.39s/it, lr: 4.0e-04 loss: 5.270e-01]
my_first_flux_lora_v1: 7%|▋ | 68/1000 [02:35<37:04, 2.39s/it, lr: 4.0e-04 loss: 4.117e-01]
my_first_flux_lora_v1: 7%|▋ | 69/1000 [02:35<41:01, 2.64s/it, lr: 4.0e-04 loss: 4.117e-01]
my_first_flux_lora_v1: 7%|▋ | 69/1000 [02:37<41:01, 2.64s/it, lr: 4.0e-04 loss: 3.476e-01]
my_first_flux_lora_v1: 7%|▋ | 70/1000 [02:37<37:38, 2.43s/it, lr: 4.0e-04 loss: 3.476e-01]
my_first_flux_lora_v1: 7%|▋ | 70/1000 [02:40<37:38, 2.43s/it, lr: 4.0e-04 loss: 6.713e-01]
my_first_flux_lora_v1: 7%|▋ | 71/1000 [02:40<41:24, 2.67s/it, lr: 4.0e-04 loss: 6.713e-01]
my_first_flux_lora_v1: 7%|▋ | 71/1000 [02:42<41:24, 2.67s/it, lr: 4.0e-04 loss: 6.161e-01]
my_first_flux_lora_v1: 7%|▋ | 72/1000 [02:42<38:09, 2.47s/it, lr: 4.0e-04 loss: 6.161e-01]
my_first_flux_lora_v1: 7%|▋ | 72/1000 [02:44<38:09, 2.47s/it, lr: 4.0e-04 loss: 5.585e-01]
my_first_flux_lora_v1: 7%|▋ | 73/1000 [02:44<35:36, 2.30s/it, lr: 4.0e-04 loss: 5.585e-01]
my_first_flux_lora_v1: 7%|▋ | 73/1000 [02:45<35:36, 2.30s/it, lr: 4.0e-04 loss: 3.489e-01]
my_first_flux_lora_v1: 7%|▋ | 74/1000 [02:45<30:33, 1.98s/it, lr: 4.0e-04 loss: 3.489e-01]
my_first_flux_lora_v1: 7%|▋ | 74/1000 [02:47<30:33, 1.98s/it, lr: 4.0e-04 loss: 3.137e-01]
my_first_flux_lora_v1: 8%|▊ | 75/1000 [02:47<30:15, 1.96s/it, lr: 4.0e-04 loss: 3.137e-01]
my_first_flux_lora_v1: 8%|▊ | 75/1000 [02:49<30:15, 1.96s/it, lr: 4.0e-04 loss: 4.205e-01]
my_first_flux_lora_v1: 8%|▊ | 76/1000 [02:49<30:03, 1.95s/it, lr: 4.0e-04 loss: 4.205e-01]
my_first_flux_lora_v1: 8%|▊ | 76/1000 [02:50<30:03, 1.95s/it, lr: 4.0e-04 loss: 4.987e-01]
my_first_flux_lora_v1: 8%|▊ | 77/1000 [02:50<27:05, 1.76s/it, lr: 4.0e-04 loss: 4.987e-01]
my_first_flux_lora_v1: 8%|▊ | 77/1000 [02:51<27:05, 1.76s/it, lr: 4.0e-04 loss: 3.607e-01]
my_first_flux_lora_v1: 8%|▊ | 78/1000 [02:51<24:33, 1.60s/it, lr: 4.0e-04 loss: 3.607e-01]
my_first_flux_lora_v1: 8%|▊ | 78/1000 [02:53<24:33, 1.60s/it, lr: 4.0e-04 loss: 5.654e-01]
my_first_flux_lora_v1: 8%|▊ | 79/1000 [02:53<26:01, 1.70s/it, lr: 4.0e-04 loss: 5.654e-01]
my_first_flux_lora_v1: 8%|▊ | 79/1000 [02:55<26:01, 1.70s/it, lr: 4.0e-04 loss: 3.199e-01]
my_first_flux_lora_v1: 8%|▊ | 80/1000 [02:55<23:48, 1.55s/it, lr: 4.0e-04 loss: 3.199e-01]
my_first_flux_lora_v1: 8%|▊ | 80/1000 [02:57<23:48, 1.55s/it, lr: 4.0e-04 loss: 7.025e-01]
my_first_flux_lora_v1: 8%|▊ | 81/1000 [02:57<25:51, 1.69s/it, lr: 4.0e-04 loss: 7.025e-01]
my_first_flux_lora_v1: 8%|▊ | 81/1000 [02:58<25:51, 1.69s/it, lr: 4.0e-04 loss: 4.438e-01]
my_first_flux_lora_v1: 8%|▊ | 82/1000 [02:58<23:41, 1.55s/it, lr: 4.0e-04 loss: 4.438e-01]
my_first_flux_lora_v1: 8%|▊ | 82/1000 [03:01<23:41, 1.55s/it, lr: 4.0e-04 loss: 3.551e-01]
my_first_flux_lora_v1: 8%|▊ | 83/1000 [03:01<31:26, 2.06s/it, lr: 4.0e-04 loss: 3.551e-01]
my_first_flux_lora_v1: 8%|▊ | 83/1000 [03:02<31:26, 2.06s/it, lr: 4.0e-04 loss: 5.379e-01]
my_first_flux_lora_v1: 8%|▊ | 84/1000 [03:02<27:37, 1.81s/it, lr: 4.0e-04 loss: 5.379e-01]
my_first_flux_lora_v1: 8%|▊ | 84/1000 [03:04<27:37, 1.81s/it, lr: 4.0e-04 loss: 5.540e-01]
my_first_flux_lora_v1: 8%|▊ | 85/1000 [03:04<25:27, 1.67s/it, lr: 4.0e-04 loss: 5.540e-01]
my_first_flux_lora_v1: 8%|▊ | 85/1000 [03:07<25:27, 1.67s/it, lr: 4.0e-04 loss: 3.731e-01]
my_first_flux_lora_v1: 9%|▊ | 86/1000 [03:07<32:38, 2.14s/it, lr: 4.0e-04 loss: 3.731e-01]
my_first_flux_lora_v1: 9%|▊ | 86/1000 [03:09<32:38, 2.14s/it, lr: 4.0e-04 loss: 3.531e-01]
my_first_flux_lora_v1: 9%|▊ | 87/1000 [03:09<31:36, 2.08s/it, lr: 4.0e-04 loss: 3.531e-01]
my_first_flux_lora_v1: 9%|▊ | 87/1000 [03:12<31:36, 2.08s/it, lr: 4.0e-04 loss: 3.118e-01]
my_first_flux_lora_v1: 9%|▉ | 88/1000 [03:12<36:54, 2.43s/it, lr: 4.0e-04 loss: 3.118e-01]
my_first_flux_lora_v1: 9%|▉ | 88/1000 [03:15<36:54, 2.43s/it, lr: 4.0e-04 loss: 4.295e-01]
my_first_flux_lora_v1: 9%|▉ | 89/1000 [03:15<40:35, 2.67s/it, lr: 4.0e-04 loss: 4.295e-01]
my_first_flux_lora_v1: 9%|▉ | 89/1000 [03:17<40:35, 2.67s/it, lr: 4.0e-04 loss: 3.365e-01]
my_first_flux_lora_v1: 9%|▉ | 90/1000 [03:17<33:56, 2.24s/it, lr: 4.0e-04 loss: 3.365e-01]
my_first_flux_lora_v1: 9%|▉ | 90/1000 [03:18<33:56, 2.24s/it, lr: 4.0e-04 loss: 4.739e-01]
my_first_flux_lora_v1: 9%|▉ | 91/1000 [03:18<29:16, 1.93s/it, lr: 4.0e-04 loss: 4.739e-01]
my_first_flux_lora_v1: 9%|▉ | 91/1000 [03:20<29:16, 1.93s/it, lr: 4.0e-04 loss: 6.538e-01]
my_first_flux_lora_v1: 9%|▉ | 92/1000 [03:20<29:12, 1.93s/it, lr: 4.0e-04 loss: 6.538e-01]
my_first_flux_lora_v1: 9%|▉ | 92/1000 [03:23<29:12, 1.93s/it, lr: 4.0e-04 loss: 6.131e-01]
my_first_flux_lora_v1: 9%|▉ | 93/1000 [03:23<35:09, 2.33s/it, lr: 4.0e-04 loss: 6.131e-01]
my_first_flux_lora_v1: 9%|▉ | 93/1000 [03:24<35:09, 2.33s/it, lr: 4.0e-04 loss: 4.085e-01]
my_first_flux_lora_v1: 9%|▉ | 94/1000 [03:24<30:37, 2.03s/it, lr: 4.0e-04 loss: 4.085e-01]
my_first_flux_lora_v1: 9%|▉ | 94/1000 [03:28<30:37, 2.03s/it, lr: 4.0e-04 loss: 5.494e-01]
my_first_flux_lora_v1: 10%|▉ | 95/1000 [03:28<36:06, 2.39s/it, lr: 4.0e-04 loss: 5.494e-01]
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my_first_flux_lora_v1: 10%|▉ | 96/1000 [03:30<34:00, 2.26s/it, lr: 4.0e-04 loss: 5.711e-01]
my_first_flux_lora_v1: 10%|▉ | 96/1000 [03:33<34:00, 2.26s/it, lr: 4.0e-04 loss: 5.313e-01]
my_first_flux_lora_v1: 10%|▉ | 97/1000 [03:33<38:26, 2.55s/it, lr: 4.0e-04 loss: 5.313e-01]
my_first_flux_lora_v1: 10%|▉ | 97/1000 [03:35<38:26, 2.55s/it, lr: 4.0e-04 loss: 4.570e-01]
my_first_flux_lora_v1: 10%|▉ | 98/1000 [03:35<35:56, 2.39s/it, lr: 4.0e-04 loss: 4.570e-01]
my_first_flux_lora_v1: 10%|▉ | 98/1000 [03:38<35:56, 2.39s/it, lr: 4.0e-04 loss: 6.668e-01]
my_first_flux_lora_v1: 10%|▉ | 99/1000 [03:38<39:45, 2.65s/it, lr: 4.0e-04 loss: 6.668e-01]
my_first_flux_lora_v1: 10%|▉ | 99/1000 [03:39<39:45, 2.65s/it, lr: 4.0e-04 loss: 5.571e-01]
my_first_flux_lora_v1: 10%|█ | 100/1000 [03:41<39:42, 2.65s/it, lr: 4.0e-04 loss: 4.314e-01]
my_first_flux_lora_v1: 10%|█ | 101/1000 [03:41<25:34, 1.71s/it, lr: 4.0e-04 loss: 4.314e-01]
my_first_flux_lora_v1: 10%|█ | 101/1000 [03:43<25:34, 1.71s/it, lr: 4.0e-04 loss: 4.695e-01]
my_first_flux_lora_v1: 10%|█ | 102/1000 [03:43<26:36, 1.78s/it, lr: 4.0e-04 loss: 4.695e-01]
my_first_flux_lora_v1: 10%|█ | 102/1000 [03:44<26:36, 1.78s/it, lr: 4.0e-04 loss: 3.823e-01]
my_first_flux_lora_v1: 10%|█ | 103/1000 [03:44<27:09, 1.82s/it, lr: 4.0e-04 loss: 3.823e-01]
my_first_flux_lora_v1: 10%|█ | 103/1000 [03:46<27:09, 1.82s/it, lr: 4.0e-04 loss: 4.012e-01]
my_first_flux_lora_v1: 10%|█ | 104/1000 [03:46<27:33, 1.85s/it, lr: 4.0e-04 loss: 4.012e-01]
my_first_flux_lora_v1: 10%|█ | 104/1000 [03:48<27:33, 1.85s/it, lr: 4.0e-04 loss: 3.707e-01]
my_first_flux_lora_v1: 10%|█ | 105/1000 [03:48<24:57, 1.67s/it, lr: 4.0e-04 loss: 3.707e-01]
my_first_flux_lora_v1: 10%|█ | 105/1000 [03:50<24:57, 1.67s/it, lr: 4.0e-04 loss: 5.053e-01]
my_first_flux_lora_v1: 11%|█ | 106/1000 [03:50<26:20, 1.77s/it, lr: 4.0e-04 loss: 5.053e-01]
my_first_flux_lora_v1: 11%|█ | 106/1000 [03:53<26:20, 1.77s/it, lr: 4.0e-04 loss: 5.892e-01]
my_first_flux_lora_v1: 11%|█ | 107/1000 [03:53<32:41, 2.20s/it, lr: 4.0e-04 loss: 5.892e-01]
my_first_flux_lora_v1: 11%|█ | 107/1000 [03:56<32:41, 2.20s/it, lr: 4.0e-04 loss: 3.046e-01]
my_first_flux_lora_v1: 11%|█ | 108/1000 [03:56<37:13, 2.50s/it, lr: 4.0e-04 loss: 3.046e-01]
my_first_flux_lora_v1: 11%|█ | 108/1000 [03:58<37:13, 2.50s/it, lr: 4.0e-04 loss: 4.907e-01]
my_first_flux_lora_v1: 11%|█ | 109/1000 [03:58<34:38, 2.33s/it, lr: 4.0e-04 loss: 4.907e-01]
my_first_flux_lora_v1: 11%|█ | 109/1000 [04:01<34:38, 2.33s/it, lr: 4.0e-04 loss: 5.568e-01]
my_first_flux_lora_v1: 11%|█ | 110/1000 [04:01<38:37, 2.60s/it, lr: 4.0e-04 loss: 5.568e-01]
my_first_flux_lora_v1: 11%|█ | 110/1000 [04:03<38:37, 2.60s/it, lr: 4.0e-04 loss: 6.225e-01]
my_first_flux_lora_v1: 11%|█ | 111/1000 [04:03<32:55, 2.22s/it, lr: 4.0e-04 loss: 6.225e-01]
my_first_flux_lora_v1: 11%|█ | 111/1000 [04:04<32:55, 2.22s/it, lr: 4.0e-04 loss: 4.444e-01]
my_first_flux_lora_v1: 11%|█ | 112/1000 [04:04<28:27, 1.92s/it, lr: 4.0e-04 loss: 4.444e-01]
my_first_flux_lora_v1: 11%|█ | 112/1000 [04:07<28:27, 1.92s/it, lr: 4.0e-04 loss: 5.301e-01]
my_first_flux_lora_v1: 11%|█▏ | 113/1000 [04:07<34:16, 2.32s/it, lr: 4.0e-04 loss: 5.301e-01]
my_first_flux_lora_v1: 11%|█▏ | 113/1000 [04:09<34:16, 2.32s/it, lr: 4.0e-04 loss: 6.140e-01]
my_first_flux_lora_v1: 11%|█▏ | 114/1000 [04:09<32:30, 2.20s/it, lr: 4.0e-04 loss: 6.140e-01]
my_first_flux_lora_v1: 11%|█▏ | 114/1000 [04:11<32:30, 2.20s/it, lr: 4.0e-04 loss: 2.864e-01]
my_first_flux_lora_v1: 12%|█▏ | 115/1000 [04:11<31:34, 2.14s/it, lr: 4.0e-04 loss: 2.864e-01]
my_first_flux_lora_v1: 12%|█▏ | 115/1000 [04:14<31:34, 2.14s/it, lr: 4.0e-04 loss: 3.969e-01]
my_first_flux_lora_v1: 12%|█▏ | 116/1000 [04:14<36:25, 2.47s/it, lr: 4.0e-04 loss: 3.969e-01]
my_first_flux_lora_v1: 12%|█▏ | 116/1000 [04:16<36:25, 2.47s/it, lr: 4.0e-04 loss: 5.680e-01]
my_first_flux_lora_v1: 12%|█▏ | 117/1000 [04:16<30:51, 2.10s/it, lr: 4.0e-04 loss: 5.680e-01]
my_first_flux_lora_v1: 12%|█▏ | 117/1000 [04:18<30:51, 2.10s/it, lr: 4.0e-04 loss: 3.187e-01]
my_first_flux_lora_v1: 12%|█▏ | 118/1000 [04:18<30:03, 2.05s/it, lr: 4.0e-04 loss: 3.187e-01]
my_first_flux_lora_v1: 12%|█▏ | 118/1000 [04:19<30:03, 2.05s/it, lr: 4.0e-04 loss: 3.594e-01]
my_first_flux_lora_v1: 12%|█▏ | 119/1000 [04:19<26:47, 1.82s/it, lr: 4.0e-04 loss: 3.594e-01]
my_first_flux_lora_v1: 12%|█▏ | 119/1000 [04:21<26:47, 1.82s/it, lr: 4.0e-04 loss: 3.197e-01]
my_first_flux_lora_v1: 12%|█▏ | 120/1000 [04:21<27:12, 1.85s/it, lr: 4.0e-04 loss: 3.197e-01]
my_first_flux_lora_v1: 12%|█▏ | 120/1000 [04:22<27:12, 1.85s/it, lr: 4.0e-04 loss: 5.536e-01]
my_first_flux_lora_v1: 12%|█▏ | 121/1000 [04:22<24:22, 1.66s/it, lr: 4.0e-04 loss: 5.536e-01]
my_first_flux_lora_v1: 12%|█▏ | 121/1000 [04:23<24:22, 1.66s/it, lr: 4.0e-04 loss: 4.791e-01]
my_first_flux_lora_v1: 12%|█▏ | 122/1000 [04:23<22:24, 1.53s/it, lr: 4.0e-04 loss: 4.791e-01]
my_first_flux_lora_v1: 12%|█▏ | 122/1000 [04:26<22:24, 1.53s/it, lr: 4.0e-04 loss: 6.328e-01]
my_first_flux_lora_v1: 12%|█▏ | 123/1000 [04:26<29:55, 2.05s/it, lr: 4.0e-04 loss: 6.328e-01]
my_first_flux_lora_v1: 12%|█▏ | 123/1000 [04:28<29:55, 2.05s/it, lr: 4.0e-04 loss: 4.551e-01]
my_first_flux_lora_v1: 12%|█▏ | 124/1000 [04:28<29:21, 2.01s/it, lr: 4.0e-04 loss: 4.551e-01]
my_first_flux_lora_v1: 12%|█▏ | 124/1000 [04:32<29:21, 2.01s/it, lr: 4.0e-04 loss: 2.858e-01]
my_first_flux_lora_v1: 12%|█▎ | 125/1000 [04:32<34:43, 2.38s/it, lr: 4.0e-04 loss: 2.858e-01]
my_first_flux_lora_v1: 12%|█▎ | 125/1000 [04:34<34:43, 2.38s/it, lr: 4.0e-04 loss: 6.729e-01]
my_first_flux_lora_v1: 13%|█▎ | 126/1000 [04:34<32:43, 2.25s/it, lr: 4.0e-04 loss: 6.729e-01]
my_first_flux_lora_v1: 13%|█▎ | 126/1000 [04:36<32:43, 2.25s/it, lr: 4.0e-04 loss: 4.805e-01]
my_first_flux_lora_v1: 13%|█▎ | 127/1000 [04:36<31:17, 2.15s/it, lr: 4.0e-04 loss: 4.805e-01]
my_first_flux_lora_v1: 13%|█▎ | 127/1000 [04:38<31:17, 2.15s/it, lr: 4.0e-04 loss: 4.496e-01]
my_first_flux_lora_v1: 13%|█▎ | 128/1000 [04:38<30:45, 2.12s/it, lr: 4.0e-04 loss: 4.496e-01]
my_first_flux_lora_v1: 13%|█▎ | 128/1000 [04:41<30:45, 2.12s/it, lr: 4.0e-04 loss: 6.599e-01]
my_first_flux_lora_v1: 13%|█▎ | 129/1000 [04:41<35:37, 2.45s/it, lr: 4.0e-04 loss: 6.599e-01]
my_first_flux_lora_v1: 13%|█▎ | 129/1000 [04:44<35:37, 2.45s/it, lr: 4.0e-04 loss: 4.671e-01]
my_first_flux_lora_v1: 13%|█▎ | 130/1000 [04:44<39:03, 2.69s/it, lr: 4.0e-04 loss: 4.671e-01]
my_first_flux_lora_v1: 13%|█▎ | 130/1000 [04:45<39:03, 2.69s/it, lr: 4.0e-04 loss: 3.897e-01]
my_first_flux_lora_v1: 13%|█▎ | 131/1000 [04:45<32:37, 2.25s/it, lr: 4.0e-04 loss: 3.897e-01]
my_first_flux_lora_v1: 13%|█▎ | 131/1000 [04:47<32:37, 2.25s/it, lr: 4.0e-04 loss: 5.692e-01]
my_first_flux_lora_v1: 13%|█▎ | 132/1000 [04:47<28:29, 1.97s/it, lr: 4.0e-04 loss: 5.692e-01]
my_first_flux_lora_v1: 13%|█▎ | 132/1000 [04:48<28:29, 1.97s/it, lr: 4.0e-04 loss: 4.192e-01]
my_first_flux_lora_v1: 13%|█▎ | 133/1000 [04:48<25:12, 1.74s/it, lr: 4.0e-04 loss: 4.192e-01]
my_first_flux_lora_v1: 13%|█▎ | 133/1000 [04:51<25:12, 1.74s/it, lr: 4.0e-04 loss: 5.185e-01]
my_first_flux_lora_v1: 13%|█▎ | 134/1000 [04:51<31:40, 2.19s/it, lr: 4.0e-04 loss: 5.185e-01]
my_first_flux_lora_v1: 13%|█▎ | 134/1000 [04:54<31:40, 2.19s/it, lr: 4.0e-04 loss: 4.547e-01]
my_first_flux_lora_v1: 14%|█▎ | 135/1000 [04:54<36:11, 2.51s/it, lr: 4.0e-04 loss: 4.547e-01]
my_first_flux_lora_v1: 14%|█▎ | 135/1000 [04:56<36:11, 2.51s/it, lr: 4.0e-04 loss: 4.254e-01]
my_first_flux_lora_v1: 14%|█▎ | 136/1000 [04:56<30:57, 2.15s/it, lr: 4.0e-04 loss: 4.254e-01]
my_first_flux_lora_v1: 14%|█▎ | 136/1000 [04:57<30:57, 2.15s/it, lr: 4.0e-04 loss: 3.717e-01]
my_first_flux_lora_v1: 14%|█▎ | 137/1000 [04:57<26:54, 1.87s/it, lr: 4.0e-04 loss: 3.717e-01]
my_first_flux_lora_v1: 14%|█▎ | 137/1000 [04:59<26:54, 1.87s/it, lr: 4.0e-04 loss: 3.985e-01]
my_first_flux_lora_v1: 14%|█▍ | 138/1000 [04:59<27:06, 1.89s/it, lr: 4.0e-04 loss: 3.985e-01]
my_first_flux_lora_v1: 14%|█▍ | 138/1000 [05:01<27:06, 1.89s/it, lr: 4.0e-04 loss: 5.630e-01]
my_first_flux_lora_v1: 14%|█▍ | 139/1000 [05:01<27:13, 1.90s/it, lr: 4.0e-04 loss: 5.630e-01]
my_first_flux_lora_v1: 14%|█▍ | 139/1000 [05:03<27:13, 1.90s/it, lr: 4.0e-04 loss: 5.892e-01]
my_first_flux_lora_v1: 14%|█▍ | 140/1000 [05:03<27:29, 1.92s/it, lr: 4.0e-04 loss: 5.892e-01]
my_first_flux_lora_v1: 14%|█▍ | 140/1000 [05:06<27:29, 1.92s/it, lr: 4.0e-04 loss: 3.016e-01]
my_first_flux_lora_v1: 14%|█▍ | 141/1000 [05:06<33:10, 2.32s/it, lr: 4.0e-04 loss: 3.016e-01]
my_first_flux_lora_v1: 14%|█▍ | 141/1000 [05:08<33:10, 2.32s/it, lr: 4.0e-04 loss: 3.057e-01]
my_first_flux_lora_v1: 14%|█▍ | 142/1000 [05:08<31:29, 2.20s/it, lr: 4.0e-04 loss: 3.057e-01]
my_first_flux_lora_v1: 14%|█▍ | 142/1000 [05:11<31:29, 2.20s/it, lr: 4.0e-04 loss: 4.889e-01]
my_first_flux_lora_v1: 14%|█▍ | 143/1000 [05:11<35:56, 2.52s/it, lr: 4.0e-04 loss: 4.889e-01]
my_first_flux_lora_v1: 14%|█▍ | 143/1000 [05:15<35:56, 2.52s/it, lr: 4.0e-04 loss: 5.505e-01]
my_first_flux_lora_v1: 14%|█▍ | 144/1000 [05:15<39:02, 2.74s/it, lr: 4.0e-04 loss: 5.505e-01]
my_first_flux_lora_v1: 14%|█▍ | 144/1000 [05:16<39:02, 2.74s/it, lr: 4.0e-04 loss: 3.393e-01]
my_first_flux_lora_v1: 14%|█▍ | 145/1000 [05:16<32:57, 2.31s/it, lr: 4.0e-04 loss: 3.393e-01]
my_first_flux_lora_v1: 14%|█▍ | 145/1000 [05:17<32:57, 2.31s/it, lr: 4.0e-04 loss: 4.674e-01]
my_first_flux_lora_v1: 15%|█▍ | 146/1000 [05:17<28:15, 1.99s/it, lr: 4.0e-04 loss: 4.674e-01]
my_first_flux_lora_v1: 15%|█▍ | 146/1000 [05:21<28:15, 1.99s/it, lr: 4.0e-04 loss: 5.517e-01]
my_first_flux_lora_v1: 15%|█▍ | 147/1000 [05:21<33:38, 2.37s/it, lr: 4.0e-04 loss: 5.517e-01]
my_first_flux_lora_v1: 15%|█▍ | 147/1000 [05:22<33:38, 2.37s/it, lr: 4.0e-04 loss: 3.712e-01]
my_first_flux_lora_v1: 15%|█▍ | 148/1000 [05:22<31:43, 2.23s/it, lr: 4.0e-04 loss: 3.712e-01]
my_first_flux_lora_v1: 15%|█▍ | 148/1000 [05:26<31:43, 2.23s/it, lr: 4.0e-04 loss: 4.193e-01]
my_first_flux_lora_v1: 15%|█▍ | 149/1000 [05:26<36:20, 2.56s/it, lr: 4.0e-04 loss: 4.193e-01]
my_first_flux_lora_v1: 15%|█▍ | 149/1000 [05:28<36:20, 2.56s/it, lr: 4.0e-04 loss: 3.005e-01]
my_first_flux_lora_v1: 15%|█▌ | 150/1000 [05:28<33:35, 2.37s/it, lr: 4.0e-04 loss: 3.005e-01]
my_first_flux_lora_v1: 15%|█▌ | 150/1000 [05:29<33:35, 2.37s/it, lr: 4.0e-04 loss: 3.932e-01]
my_first_flux_lora_v1: 15%|█▌ | 151/1000 [05:29<28:39, 2.03s/it, lr: 4.0e-04 loss: 3.932e-01]
my_first_flux_lora_v1: 15%|█▌ | 151/1000 [05:32<28:39, 2.03s/it, lr: 4.0e-04 loss: 3.698e-01]
my_first_flux_lora_v1: 15%|█▌ | 152/1000 [05:32<33:48, 2.39s/it, lr: 4.0e-04 loss: 3.698e-01]
my_first_flux_lora_v1: 15%|█▌ | 152/1000 [05:35<33:48, 2.39s/it, lr: 4.0e-04 loss: 2.916e-01]
my_first_flux_lora_v1: 15%|█▌ | 153/1000 [05:35<37:33, 2.66s/it, lr: 4.0e-04 loss: 2.916e-01]
my_first_flux_lora_v1: 15%|█▌ | 153/1000 [05:37<37:33, 2.66s/it, lr: 4.0e-04 loss: 4.478e-01]
my_first_flux_lora_v1: 15%|█▌ | 154/1000 [05:37<34:24, 2.44s/it, lr: 4.0e-04 loss: 4.478e-01]
my_first_flux_lora_v1: 15%|█▌ | 154/1000 [05:39<34:24, 2.44s/it, lr: 4.0e-04 loss: 4.123e-01]
my_first_flux_lora_v1: 16%|█▌ | 155/1000 [05:39<32:11, 2.29s/it, lr: 4.0e-04 loss: 4.123e-01]
my_first_flux_lora_v1: 16%|█▌ | 155/1000 [05:41<32:11, 2.29s/it, lr: 4.0e-04 loss: 5.586e-01]
my_first_flux_lora_v1: 16%|█▌ | 156/1000 [05:41<30:37, 2.18s/it, lr: 4.0e-04 loss: 5.586e-01]
my_first_flux_lora_v1: 16%|█▌ | 156/1000 [05:44<30:37, 2.18s/it, lr: 4.0e-04 loss: 3.474e-01]
my_first_flux_lora_v1: 16%|█▌ | 157/1000 [05:44<35:06, 2.50s/it, lr: 4.0e-04 loss: 3.474e-01]
my_first_flux_lora_v1: 16%|█▌ | 157/1000 [05:46<35:06, 2.50s/it, lr: 4.0e-04 loss: 4.955e-01]
my_first_flux_lora_v1: 16%|█▌ | 158/1000 [05:46<32:38, 2.33s/it, lr: 4.0e-04 loss: 4.955e-01]
my_first_flux_lora_v1: 16%|█▌ | 158/1000 [05:48<32:38, 2.33s/it, lr: 4.0e-04 loss: 6.674e-01]
my_first_flux_lora_v1: 16%|█▌ | 159/1000 [05:48<27:57, 1.99s/it, lr: 4.0e-04 loss: 6.674e-01]
my_first_flux_lora_v1: 16%|█▌ | 159/1000 [05:51<27:57, 1.99s/it, lr: 4.0e-04 loss: 5.336e-01]
my_first_flux_lora_v1: 16%|█▌ | 160/1000 [05:51<33:10, 2.37s/it, lr: 4.0e-04 loss: 5.336e-01]
my_first_flux_lora_v1: 16%|█▌ | 160/1000 [05:53<33:10, 2.37s/it, lr: 4.0e-04 loss: 5.772e-01]
my_first_flux_lora_v1: 16%|█▌ | 161/1000 [05:53<31:16, 2.24s/it, lr: 4.0e-04 loss: 5.772e-01]
my_first_flux_lora_v1: 16%|█▌ | 161/1000 [05:54<31:16, 2.24s/it, lr: 4.0e-04 loss: 3.538e-01]
my_first_flux_lora_v1: 16%|█▌ | 162/1000 [05:54<27:25, 1.96s/it, lr: 4.0e-04 loss: 3.538e-01]
my_first_flux_lora_v1: 16%|█▌ | 162/1000 [05:55<27:25, 1.96s/it, lr: 4.0e-04 loss: 4.338e-01]
my_first_flux_lora_v1: 16%|█▋ | 163/1000 [05:55<24:16, 1.74s/it, lr: 4.0e-04 loss: 4.338e-01]
my_first_flux_lora_v1: 16%|█▋ | 163/1000 [05:59<24:16, 1.74s/it, lr: 4.0e-04 loss: 2.763e-01]
my_first_flux_lora_v1: 16%|█▋ | 164/1000 [05:59<30:32, 2.19s/it, lr: 4.0e-04 loss: 2.763e-01]
my_first_flux_lora_v1: 16%|█▋ | 164/1000 [06:00<30:32, 2.19s/it, lr: 4.0e-04 loss: 5.044e-01]
my_first_flux_lora_v1: 16%|█▋ | 165/1000 [06:00<26:26, 1.90s/it, lr: 4.0e-04 loss: 5.044e-01]
my_first_flux_lora_v1: 16%|█▋ | 165/1000 [06:01<26:26, 1.90s/it, lr: 4.0e-04 loss: 5.018e-01]
my_first_flux_lora_v1: 17%|█▋ | 166/1000 [06:01<23:57, 1.72s/it, lr: 4.0e-04 loss: 5.018e-01]
my_first_flux_lora_v1: 17%|█▋ | 166/1000 [06:02<23:57, 1.72s/it, lr: 4.0e-04 loss: 3.958e-01]
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my_first_flux_lora_v1: 17%|█▋ | 167/1000 [06:04<21:50, 1.57s/it, lr: 4.0e-04 loss: 5.139e-01]
my_first_flux_lora_v1: 17%|█▋ | 168/1000 [06:04<23:18, 1.68s/it, lr: 4.0e-04 loss: 5.139e-01]
my_first_flux_lora_v1: 17%|█▋ | 168/1000 [06:08<23:18, 1.68s/it, lr: 4.0e-04 loss: 3.906e-01]
my_first_flux_lora_v1: 17%|█▋ | 169/1000 [06:08<29:47, 2.15s/it, lr: 4.0e-04 loss: 3.906e-01]
my_first_flux_lora_v1: 17%|█▋ | 169/1000 [06:11<29:47, 2.15s/it, lr: 4.0e-04 loss: 5.885e-01]
my_first_flux_lora_v1: 17%|█▋ | 170/1000 [06:11<34:34, 2.50s/it, lr: 4.0e-04 loss: 5.885e-01]
my_first_flux_lora_v1: 17%|█▋ | 170/1000 [06:13<34:34, 2.50s/it, lr: 4.0e-04 loss: 2.981e-01]
my_first_flux_lora_v1: 17%|█▋ | 171/1000 [06:13<32:09, 2.33s/it, lr: 4.0e-04 loss: 2.981e-01]
my_first_flux_lora_v1: 17%|█▋ | 171/1000 [06:16<32:09, 2.33s/it, lr: 4.0e-04 loss: 3.401e-01]
my_first_flux_lora_v1: 17%|█▋ | 172/1000 [06:16<35:55, 2.60s/it, lr: 4.0e-04 loss: 3.401e-01]
my_first_flux_lora_v1: 17%|█▋ | 172/1000 [06:18<35:55, 2.60s/it, lr: 4.0e-04 loss: 4.452e-01]
my_first_flux_lora_v1: 17%|█▋ | 173/1000 [06:18<33:04, 2.40s/it, lr: 4.0e-04 loss: 4.452e-01]
my_first_flux_lora_v1: 17%|█▋ | 173/1000 [06:19<33:04, 2.40s/it, lr: 4.0e-04 loss: 3.428e-01]
my_first_flux_lora_v1: 17%|█▋ | 174/1000 [06:19<28:30, 2.07s/it, lr: 4.0e-04 loss: 3.428e-01]
my_first_flux_lora_v1: 17%|█▋ | 174/1000 [06:21<28:30, 2.07s/it, lr: 4.0e-04 loss: 5.960e-01]
my_first_flux_lora_v1: 18%|█▊ | 175/1000 [06:21<24:57, 1.82s/it, lr: 4.0e-04 loss: 5.960e-01]
my_first_flux_lora_v1: 18%|█▊ | 175/1000 [06:24<24:57, 1.82s/it, lr: 4.0e-04 loss: 6.091e-01]
my_first_flux_lora_v1: 18%|█▊ | 176/1000 [06:24<30:49, 2.24s/it, lr: 4.0e-04 loss: 6.091e-01]
my_first_flux_lora_v1: 18%|█▊ | 176/1000 [06:25<30:49, 2.24s/it, lr: 4.0e-04 loss: 3.207e-01]
my_first_flux_lora_v1: 18%|█▊ | 177/1000 [06:25<26:34, 1.94s/it, lr: 4.0e-04 loss: 3.207e-01]
my_first_flux_lora_v1: 18%|█▊ | 177/1000 [06:27<26:34, 1.94s/it, lr: 4.0e-04 loss: 5.735e-01]
my_first_flux_lora_v1: 18%|█▊ | 178/1000 [06:27<26:29, 1.93s/it, lr: 4.0e-04 loss: 5.735e-01]
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[A
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Saved to output/my_first_flux_lora_v1/optimizer.pt
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Generating Images: 0%| | 0/8 [00:00<?, ?it/s]
Generating Images: 12%|█▎ | 1/8 [00:21<02:28, 21.27s/it]
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Generating Images: 38%|███▊ | 3/8 [01:03<01:46, 21.25s/it]
Generating Images: 50%|█████ | 4/8 [01:25<01:25, 21.25s/it]
Generating Images: 62%|██████▎ | 5/8 [01:46<01:03, 21.25s/it]
Generating Images: 75%|███████▌ | 6/8 [02:07<00:42, 21.25s/it]
Generating Images: 88%|████████▊ | 7/8 [02:28<00:21, 21.25s/it]
Generating Images: 100%|██████████| 8/8 [02:50<00:00, 21.27s/it]
Saved to output/my_first_flux_lora_v1/optimizer.pt
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