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FLUX1-dev-train-face-DDD
File size: 114,268 Bytes 
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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

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Downloading shards: 100%|██████████| 2/2 [04:22<00:00, 131.36s/it]

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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

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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

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Caching latents to disk:  22%|██▏       | 2/9 [00:00<00:00, 16.67it/s]
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Caching latents to disk: 100%|██████████| 9/9 [00:00<00:00, 11.91it/s]
Dataset: /workspace/ai-toolkit/images
  -  Preprocessing image dimensions

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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

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Caching latents to disk:  22%|██▏       | 2/9 [00:00<00:00, 15.55it/s]
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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: 100%|██████████| 8/8 [05:25<00:00, 38.89s/it]
                                                                

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my_first_flux_lora_v1:   3%|▎         | 30/1000 [01:45<59:56,  3.71s/it, lr: 1.0e-04 loss: 3.571e-01]
my_first_flux_lora_v1:   3%|▎         | 31/1000 [01:45<54:07,  3.35s/it, lr: 1.0e-04 loss: 3.571e-01]
my_first_flux_lora_v1:   3%|▎         | 31/1000 [01:47<54:07,  3.35s/it, lr: 1.0e-04 loss: 5.119e-01]
my_first_flux_lora_v1:   3%|▎         | 32/1000 [01:47<46:30,  2.88s/it, lr: 1.0e-04 loss: 5.119e-01]
my_first_flux_lora_v1:   3%|▎         | 32/1000 [01:50<46:30,  2.88s/it, lr: 1.0e-04 loss: 4.286e-01]
my_first_flux_lora_v1:   3%|▎         | 33/1000 [01:50<44:16,  2.75s/it, lr: 1.0e-04 loss: 4.286e-01]
my_first_flux_lora_v1:   3%|▎         | 33/1000 [01:52<44:16,  2.75s/it, lr: 1.0e-04 loss: 4.602e-01]
my_first_flux_lora_v1:   3%|▎         | 34/1000 [01:52<43:20,  2.69s/it, lr: 1.0e-04 loss: 4.602e-01]
my_first_flux_lora_v1:   3%|▎         | 34/1000 [01:57<43:20,  2.69s/it, lr: 1.0e-04 loss: 7.193e-01]
my_first_flux_lora_v1:   4%|▎         | 35/1000 [01:57<51:10,  3.18s/it, lr: 1.0e-04 loss: 7.193e-01]
my_first_flux_lora_v1:   4%|▎         | 35/1000 [01:58<51:10,  3.18s/it, lr: 1.0e-04 loss: 6.862e-01]
my_first_flux_lora_v1:   4%|▎         | 36/1000 [01:58<44:26,  2.77s/it, lr: 1.0e-04 loss: 6.862e-01]
my_first_flux_lora_v1:   4%|▎         | 36/1000 [02:02<44:26,  2.77s/it, lr: 1.0e-04 loss: 4.063e-01]
my_first_flux_lora_v1:   4%|▎         | 37/1000 [02:02<50:36,  3.15s/it, lr: 1.0e-04 loss: 4.063e-01]
my_first_flux_lora_v1:   4%|▎         | 37/1000 [02:06<50:36,  3.15s/it, lr: 1.0e-04 loss: 4.646e-01]
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]
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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]
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my_first_flux_lora_v1:  15%|█▌        | 153/1000 [08:26<39:19,  2.79s/it, lr: 1.0e-04 loss: 5.446e-01]
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Saved to output/my_first_flux_lora_v1/optimizer.pt

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