ai-toolkit.log

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

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/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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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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  -  Found 8 images
Bucket sizes for /workspace/ai-toolkit/images:
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 - Saving latents to disk

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Dataset: /workspace/ai-toolkit/images
  -  Preprocessing image dimensions

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  -  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
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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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Generating baseline samples before training

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my_first_flux_lora_v1:   4%|▍         | 38/1000 [01:28<36:14,  2.26s/it, lr: 4.0e-04 loss: 2.482e-01]
my_first_flux_lora_v1:   4%|▍         | 39/1000 [01:28<41:51,  2.61s/it, lr: 4.0e-04 loss: 2.482e-01]
my_first_flux_lora_v1:   4%|▍         | 39/1000 [01:30<41:51,  2.61s/it, lr: 4.0e-04 loss: 3.015e-01]
my_first_flux_lora_v1:   4%|▍         | 40/1000 [01:30<38:04,  2.38s/it, lr: 4.0e-04 loss: 3.015e-01]
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]
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my_first_flux_lora_v1:  16%|█▋        | 163/1000 [05:58<33:24,  2.39s/it, lr: 4.0e-04 loss: 5.425e-01]
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my_first_flux_lora_v1:  17%|█▋        | 166/1000 [06:05<32:50,  2.36s/it, lr: 4.0e-04 loss: 4.734e-01]
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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]
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Generating Images: 100%|██████████| 8/8 [02:48<00:00, 21.00s/it]

                                                                
                                                                                                      

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my_first_flux_lora_v1:  50%|█████     | 503/1000 [18:14<14:02,  1.69s/it, lr: 4.0e-04 loss: 2.348e-01]Saving at step 500
Saved to output/my_first_flux_lora_v1/optimizer.pt

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