Running 1 job
{
    "type": "ui_trainer",
    "training_folder": "/ai-toolkit/output",
    "sqlite_db_path": "/ai-toolkit/aitk_db.db",
    "device": "cuda",
    "trigger_word": "m_port",
    "performance_log_every": 10,
    "network": {
        "type": "lora",
        "linear": 32,
        "linear_alpha": 32,
        "conv": 16,
        "conv_alpha": 16,
        "lokr_full_rank": true,
        "lokr_factor": -1,
        "network_kwargs": {
            "ignore_if_contains": []
        }
    },
    "save": {
        "dtype": "bf16",
        "save_every": 250,
        "max_step_saves_to_keep": 8,
        "save_format": "diffusers",
        "push_to_hub": false
    },
    "datasets": [
        {
            "folder_path": "/ai-toolkit/datasets/m_portrait",
            "control_path": null,
            "mask_path": null,
            "mask_min_value": 0.1,
            "default_caption": "",
            "caption_ext": "txt",
            "caption_dropout_rate": 0.05,
            "cache_latents_to_disk": false,
            "is_reg": false,
            "network_weight": 1,
            "resolution": [
                512,
                768,
                1024,
                1536,
                1280
            ],
            "controls": [],
            "shrink_video_to_frames": true,
            "num_frames": 1,
            "do_i2v": true,
            "flip_x": false,
            "flip_y": false
        }
    ],
    "train": {
        "batch_size": 1,
        "bypass_guidance_embedding": false,
        "steps": 2000,
        "gradient_accumulation": 1,
        "train_unet": true,
        "train_text_encoder": false,
        "gradient_checkpointing": true,
        "noise_scheduler": "flowmatch",
        "optimizer": "adamw8bit",
        "timestep_type": "sigmoid",
        "content_or_style": "balanced",
        "optimizer_params": {
            "weight_decay": 0.0001
        },
        "unload_text_encoder": false,
        "cache_text_embeddings": false,
        "lr": 0.0002,
        "ema_config": {
            "use_ema": true,
            "ema_decay": 0.99
        },
        "skip_first_sample": false,
        "force_first_sample": false,
        "disable_sampling": false,
        "dtype": "bf16",
        "diff_output_preservation": false,
        "diff_output_preservation_multiplier": 1,
        "diff_output_preservation_class": "person",
        "switch_boundary_every": 1
    },
    "model": {
        "name_or_path": "black-forest-labs/FLUX.1-dev",
        "quantize": false,
        "qtype": "qfloat8",
        "quantize_te": true,
        "qtype_te": "qfloat8",
        "arch": "flux",
        "low_vram": false,
        "model_kwargs": {}
    },
    "sample": {
        "sampler": "flowmatch",
        "sample_every": 250,
        "width": 1024,
        "height": 1024,
        "samples": [
            {
                "prompt": "m_port, A man in a plain white t-shirt is captured in a close-up portrait, holding a black leather wallet near his face with his right hand. The wallet\u2019s textured finish and embossed branding are clearly visible, drawing focus to its sleek and minimal design. His direct gaze and neutral expression add a confident, straightforward tone. Background is clean white with soft even lighting to emphasize the wallet."
            },
            {
                "prompt": "m_port, A young man is seated against a plain grey background, wearing a relaxed white crew-neck t-shirt. He faces slightly to his left with a neutral yet contemplative expression, his short textured hairstyle and light stubble framing his features. The soft natural lighting from the side casts gentle shadows, giving depth and focus to the portrait while maintaining a minimal, clean composition."
            },
            {
                "prompt": "m_port,A young man gazes confidently at the camera, his expression calm yet subtly curious. He\u2019s dressed in a mustard-yellow jacket layered over a ribbed turtleneck of the same tone, creating a striking monochrome look. The background, draped in rich golden fabric, seamlessly blends with his outfit, giving the image a bold, editorial feel. Soft lighting highlights the texture of his hair and skin, while the upward collar adds a touch of attitude and modern edge."
            },
            {
                "prompt": "m_port,A man leans casually against a white column, his posture relaxed yet confident. He\u2019s dressed in a deep navy shirt with rolled sleeves, paired with matching trousers for a clean, monochromatic look. The crisp lines of the column contrast with the blurred greenery in the background, creating a balance of structure and softness. Natural daylight enhances the sharpness of his jawline and the polished texture of his outfit, lending the portrait an elegant, editorial edge."
            }
        ],
        "neg": "",
        "seed": 42,
        "walk_seed": true,
        "guidance_scale": 2.8,
        "sample_steps": 30,
        "num_frames": 1,
        "fps": 1
    }
}
Using EMA
Using SQLite database at /ai-toolkit/aitk_db.db
Job ID: "c26b307c-586e-4dbc-802c-603bbbbbb3b7"

#############################################
# Running job: m_portrait
#############################################


Running  1 process
Loading Flux model
Loading transformer

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You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers

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Loading checkpoint shards:   0%|                         | 0/2 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|#################| 2/2 [00:00<00:00, 59.40it/s]

Quantizing T5
Loading CLIP

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Making pipe
Preparing Model
create LoRA network. base dim (rank): 32, alpha: 32
neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16
create LoRA for Text Encoder: 0 modules.
create LoRA for U-Net: 494 modules.
enable LoRA for U-Net
Dataset: /ai-toolkit/datasets/m_portrait
  -  Preprocessing image dimensions

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  -  Found 17 images
Bucket sizes for /ai-toolkit/datasets/m_portrait:
512x512: 17 files
1 buckets made
Dataset: /ai-toolkit/datasets/m_portrait
  -  Preprocessing image dimensions

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  -  Found 17 images
Bucket sizes for /ai-toolkit/datasets/m_portrait:
768x768: 17 files
1 buckets made
Dataset: /ai-toolkit/datasets/m_portrait
  -  Preprocessing image dimensions

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  -  Found 17 images
Bucket sizes for /ai-toolkit/datasets/m_portrait:
1024x1024: 17 files
1 buckets made
Dataset: /ai-toolkit/datasets/m_portrait
  -  Preprocessing image dimensions

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  -  Found 17 images
Bucket sizes for /ai-toolkit/datasets/m_portrait:
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1 buckets made
Dataset: /ai-toolkit/datasets/m_portrait
  -  Preprocessing image dimensions

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100%|#######################################| 17/17 [00:00<00:00, 42266.25it/s]

  -  Found 17 images
Bucket sizes for /ai-toolkit/datasets/m_portrait:
1280x1280: 17 files
1 buckets made
Generating baseline samples before training

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Generating Images: 100%|#########################| 4/4 [01:12<00:00, 18.06s/it]
Generating Images: 100%|#########################| 4/4 [01:12<00:00, 18.06s/it]
                                                                               
                                                                               


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Saving at step 250
Saved checkpoint to /ai-toolkit/output/m_portrait/m_portrait_000000250.safetensors
Saved optimizer to /ai-toolkit/output/m_portrait/optimizer.pt



Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]
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Generating Images:  25%|######2                  | 1/4 [00:18<00:55, 18.43s/it]
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Generating Images:  50%|############5            | 2/4 [00:36<00:36, 18.45s/it]
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Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.49s/it]
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Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.53s/it]
Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.53s/it]


                                                                               
                                                                               
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Saving at step 500
Saved checkpoint to /ai-toolkit/output/m_portrait/m_portrait_000000500.safetensors
Saved optimizer to /ai-toolkit/output/m_portrait/optimizer.pt



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Generating Images:  25%|######2                  | 1/4 [00:18<00:55, 18.49s/it]
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Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.53s/it]
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Saving at step 750
Saved checkpoint to /ai-toolkit/output/m_portrait/m_portrait_000000750.safetensors
Saved optimizer to /ai-toolkit/output/m_portrait/optimizer.pt



Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]
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Generating Images:  25%|######2                  | 1/4 [00:18<00:55, 18.55s/it]
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Generating Images:  50%|############5            | 2/4 [00:37<00:37, 18.55s/it]
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Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.59s/it]
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Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.62s/it]
Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.62s/it]


                                                                               
                                                                               
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m_portrait:  50%|4| 997/2000 [1:07:36<44:35,  2.67s/it, lr: 2.0e-04 loss: 2.287
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m_portrait:  50%|4| 998/2000 [1:07:42<59:56,  3.59s/it, lr: 2.0e-04 loss: 2.859
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m_portrait:  50%|4| 999/2000 [1:07:42<1:10:49,  4.25s/it, lr: 2.0e-04 loss: 2.8
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m_portrait:  50%|4| 999/2000 [1:07:43<1:10:49,  4.25s/it, lr: 2.0e-04 loss: 2.9
Saving at step 1000
Saved checkpoint to /ai-toolkit/output/m_portrait/m_portrait_000001000.safetensors
Saved optimizer to /ai-toolkit/output/m_portrait/optimizer.pt



Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]
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Generating Images:  25%|######2                  | 1/4 [00:18<00:54, 18.31s/it]
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Generating Images:  50%|############5            | 2/4 [00:36<00:36, 18.34s/it]
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Generating Images: 100%|#########################| 4/4 [01:13<00:00, 18.31s/it]
Generating Images: 100%|#########################| 4/4 [01:13<00:00, 18.31s/it]


                                                                               
                                                                               
m_portrait:  50%|5| 1000/2000 [1:07:44<1:10:45,  4.25s/it, lr: 2.0e-04 loss: 3.
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Saving at step 1250
Saved checkpoint to /ai-toolkit/output/m_portrait/m_portrait_000001250.safetensors
Saved optimizer to /ai-toolkit/output/m_portrait/optimizer.pt



Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]
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Generating Images:  25%|######2                  | 1/4 [00:18<00:54, 18.32s/it]
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Generating Images:  50%|############5            | 2/4 [00:36<00:36, 18.34s/it]
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Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.38s/it]
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Generating Images: 100%|#########################| 4/4 [01:13<00:00, 18.36s/it]
Generating Images: 100%|#########################| 4/4 [01:13<00:00, 18.36s/it]


                                                                               
                                                                               
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m_portrait:  75%|7| 1499/2000 [1:41:28<33:39,  4.03s/it, lr: 2.0e-04 loss: 5.72
Saving at step 1500
Saved checkpoint to /ai-toolkit/output/m_portrait/m_portrait_000001500.safetensors
Saved optimizer to /ai-toolkit/output/m_portrait/optimizer.pt



Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]
Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]


Generating Images:  25%|######2                  | 1/4 [00:18<00:55, 18.44s/it]
Generating Images:  25%|######2                  | 1/4 [00:18<00:55, 18.44s/it]


Generating Images:  50%|############5            | 2/4 [00:37<00:37, 18.66s/it]
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Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.59s/it]
Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.59s/it]


Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.56s/it]
Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.56s/it]


                                                                               
                                                                               
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Saving at step 1750
Saved checkpoint to /ai-toolkit/output/m_portrait/m_portrait_000001750.safetensors
Saved optimizer to /ai-toolkit/output/m_portrait/optimizer.pt



Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]
Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]


Generating Images:  25%|######2                  | 1/4 [00:18<00:55, 18.42s/it]
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Generating Images:  50%|############5            | 2/4 [00:36<00:36, 18.44s/it]
Generating Images:  50%|############5            | 2/4 [00:36<00:36, 18.44s/it]


Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.49s/it]
Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.49s/it]


Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.54s/it]
Generating Images: 100%|#########################| 4/4 [01:14<00:00, 18.54s/it]


                                                                               
                                                                               
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m_portrait:  94%|9| 1883/2000 [2:07:28<07:34,  3.88s/it, lr: 2.0e-04 loss: 3.16
m_portrait:  94%|9| 1883/2000 [2:07:28<07:34,  3.88s/it, lr: 2.0e-04 loss: 3.16
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m_portrait:  98%|9| 1954/2000 [2:12:20<03:14,  4.24s/it, lr: 2.0e-04 loss: 2.08
m_portrait:  98%|9| 1955/2000 [2:12:20<03:00,  4.01s/it, lr: 2.0e-04 loss: 2.08
m_portrait:  98%|9| 1955/2000 [2:12:20<03:00,  4.01s/it, lr: 2.0e-04 loss: 2.08
m_portrait:  98%|9| 1955/2000 [2:12:28<03:00,  4.01s/it, lr: 2.0e-04 loss: 2.21
m_portrait:  98%|9| 1955/2000 [2:12:28<03:00,  4.01s/it, lr: 2.0e-04 loss: 2.21
m_portrait:  98%|9| 1956/2000 [2:12:28<03:45,  5.13s/it, lr: 2.0e-04 loss: 2.21
m_portrait:  98%|9| 1956/2000 [2:12:28<03:45,  5.13s/it, lr: 2.0e-04 loss: 2.21
m_portrait:  98%|9| 1956/2000 [2:12:29<03:45,  5.13s/it, lr: 2.0e-04 loss: 3.35
m_portrait:  98%|9| 1956/2000 [2:12:29<03:45,  5.13s/it, lr: 2.0e-04 loss: 3.35
m_portrait:  98%|9| 1957/2000 [2:12:29<02:50,  3.97s/it, lr: 2.0e-04 loss: 3.35
m_portrait:  98%|9| 1957/2000 [2:12:29<02:50,  3.97s/it, lr: 2.0e-04 loss: 3.35
m_portrait:  98%|9| 1957/2000 [2:12:30<02:50,  3.97s/it, lr: 2.0e-04 loss: 5.05
m_portrait:  98%|9| 1957/2000 [2:12:30<02:50,  3.97s/it, lr: 2.0e-04 loss: 5.05
m_portrait:  98%|9| 1958/2000 [2:12:30<02:10,  3.11s/it, lr: 2.0e-04 loss: 5.05
m_portrait:  98%|9| 1958/2000 [2:12:30<02:10,  3.11s/it, lr: 2.0e-04 loss: 5.05
m_portrait:  98%|9| 1958/2000 [2:12:36<02:10,  3.11s/it, lr: 2.0e-04 loss: 4.56
m_portrait:  98%|9| 1958/2000 [2:12:36<02:10,  3.11s/it, lr: 2.0e-04 loss: 4.56
m_portrait:  98%|9| 1959/2000 [2:12:36<02:40,  3.90s/it, lr: 2.0e-04 loss: 4.56
m_portrait:  98%|9| 1959/2000 [2:12:36<02:40,  3.90s/it, lr: 2.0e-04 loss: 4.56
m_portrait:  98%|9| 1959/2000 [2:12:38<02:40,  3.90s/it, lr: 2.0e-04 loss: 2.44
m_portrait:  98%|9| 1959/2000 [2:12:38<02:40,  3.90s/it, lr: 2.0e-04 loss: 2.44
m_portrait:  98%|9| 1960/2000 [2:12:39<02:36,  3.90s/it, lr: 2.0e-04 loss: 3.04
m_portrait:  98%|9| 1960/2000 [2:12:39<02:36,  3.90s/it, lr: 2.0e-04 loss: 3.04
m_portrait:  98%|9| 1961/2000 [2:12:39<01:31,  2.36s/it, lr: 2.0e-04 loss: 3.04
m_portrait:  98%|9| 1961/2000 [2:12:39<01:31,  2.36s/it, lr: 2.0e-04 loss: 3.04
m_portrait:  98%|9| 1961/2000 [2:12:40<01:31,  2.36s/it, lr: 2.0e-04 loss: 2.51
m_portrait:  98%|9| 1961/2000 [2:12:40<01:31,  2.36s/it, lr: 2.0e-04 loss: 2.51
m_portrait:  98%|9| 1962/2000 [2:12:40<01:17,  2.03s/it, lr: 2.0e-04 loss: 2.51
m_portrait:  98%|9| 1962/2000 [2:12:40<01:17,  2.03s/it, lr: 2.0e-04 loss: 2.51
m_portrait:  98%|9| 1962/2000 [2:12:42<01:17,  2.03s/it, lr: 2.0e-04 loss: 2.18
m_portrait:  98%|9| 1962/2000 [2:12:42<01:17,  2.03s/it, lr: 2.0e-04 loss: 2.18
m_portrait:  98%|9| 1963/2000 [2:12:42<01:13,  1.99s/it, lr: 2.0e-04 loss: 2.18
m_portrait:  98%|9| 1963/2000 [2:12:42<01:13,  1.99s/it, lr: 2.0e-04 loss: 2.18
m_portrait:  98%|9| 1963/2000 [2:12:50<01:13,  1.99s/it, lr: 2.0e-04 loss: 5.02
m_portrait:  98%|9| 1963/2000 [2:12:50<01:13,  1.99s/it, lr: 2.0e-04 loss: 5.02
m_portrait:  98%|9| 1964/2000 [2:12:50<02:09,  3.59s/it, lr: 2.0e-04 loss: 5.02
m_portrait:  98%|9| 1964/2000 [2:12:50<02:09,  3.59s/it, lr: 2.0e-04 loss: 5.02
m_portrait:  98%|9| 1964/2000 [2:12:51<02:09,  3.59s/it, lr: 2.0e-04 loss: 2.06
m_portrait:  98%|9| 1964/2000 [2:12:51<02:09,  3.59s/it, lr: 2.0e-04 loss: 2.06
m_portrait:  98%|9| 1965/2000 [2:12:51<01:40,  2.88s/it, lr: 2.0e-04 loss: 2.06
m_portrait:  98%|9| 1965/2000 [2:12:51<01:40,  2.88s/it, lr: 2.0e-04 loss: 2.06
m_portrait:  98%|9| 1965/2000 [2:12:57<01:40,  2.88s/it, lr: 2.0e-04 loss: 5.58
m_portrait:  98%|9| 1965/2000 [2:12:57<01:40,  2.88s/it, lr: 2.0e-04 loss: 5.58
m_portrait:  98%|9| 1966/2000 [2:12:57<02:06,  3.72s/it, lr: 2.0e-04 loss: 5.58
m_portrait:  98%|9| 1966/2000 [2:12:57<02:06,  3.72s/it, lr: 2.0e-04 loss: 5.58
m_portrait:  98%|9| 1966/2000 [2:12:59<02:06,  3.72s/it, lr: 2.0e-04 loss: 4.99
m_portrait:  98%|9| 1966/2000 [2:12:59<02:06,  3.72s/it, lr: 2.0e-04 loss: 4.99
m_portrait:  98%|9| 1967/2000 [2:12:59<01:44,  3.18s/it, lr: 2.0e-04 loss: 4.99
m_portrait:  98%|9| 1967/2000 [2:12:59<01:44,  3.18s/it, lr: 2.0e-04 loss: 4.99
m_portrait:  98%|9| 1967/2000 [2:13:03<01:44,  3.18s/it, lr: 2.0e-04 loss: 3.16
m_portrait:  98%|9| 1967/2000 [2:13:03<01:44,  3.18s/it, lr: 2.0e-04 loss: 3.16
m_portrait:  98%|9| 1968/2000 [2:13:03<01:46,  3.32s/it, lr: 2.0e-04 loss: 3.16
m_portrait:  98%|9| 1968/2000 [2:13:03<01:46,  3.32s/it, lr: 2.0e-04 loss: 3.16
m_portrait:  98%|9| 1968/2000 [2:13:04<01:46,  3.32s/it, lr: 2.0e-04 loss: 5.64
m_portrait:  98%|9| 1968/2000 [2:13:04<01:46,  3.32s/it, lr: 2.0e-04 loss: 5.64
m_portrait:  98%|9| 1969/2000 [2:13:04<01:22,  2.65s/it, lr: 2.0e-04 loss: 5.64
m_portrait:  98%|9| 1969/2000 [2:13:04<01:22,  2.65s/it, lr: 2.0e-04 loss: 5.64
m_portrait:  98%|9| 1969/2000 [2:13:05<01:22,  2.65s/it, lr: 2.0e-04 loss: 3.66
m_portrait:  98%|9| 1969/2000 [2:13:05<01:22,  2.65s/it, lr: 2.0e-04 loss: 3.66
m_portrait:  98%|9| 1970/2000 [2:13:06<01:19,  2.65s/it, lr: 2.0e-04 loss: 5.12
m_portrait:  98%|9| 1970/2000 [2:13:06<01:19,  2.65s/it, lr: 2.0e-04 loss: 5.12
m_portrait:  99%|9| 1971/2000 [2:13:06<00:53,  1.86s/it, lr: 2.0e-04 loss: 5.12
m_portrait:  99%|9| 1971/2000 [2:13:06<00:53,  1.86s/it, lr: 2.0e-04 loss: 5.12
m_portrait:  99%|9| 1971/2000 [2:13:10<00:53,  1.86s/it, lr: 2.0e-04 loss: 5.05
m_portrait:  99%|9| 1971/2000 [2:13:10<00:53,  1.86s/it, lr: 2.0e-04 loss: 5.05
m_portrait:  99%|9| 1972/2000 [2:13:10<01:02,  2.24s/it, lr: 2.0e-04 loss: 5.05
m_portrait:  99%|9| 1972/2000 [2:13:10<01:02,  2.24s/it, lr: 2.0e-04 loss: 5.05
m_portrait:  99%|9| 1972/2000 [2:13:12<01:02,  2.24s/it, lr: 2.0e-04 loss: 2.18
m_portrait:  99%|9| 1972/2000 [2:13:12<01:02,  2.24s/it, lr: 2.0e-04 loss: 2.18
m_portrait:  99%|9| 1973/2000 [2:13:12<00:57,  2.14s/it, lr: 2.0e-04 loss: 2.18
m_portrait:  99%|9| 1973/2000 [2:13:12<00:57,  2.14s/it, lr: 2.0e-04 loss: 2.18
m_portrait:  99%|9| 1973/2000 [2:13:18<00:57,  2.14s/it, lr: 2.0e-04 loss: 4.75
m_portrait:  99%|9| 1973/2000 [2:13:18<00:57,  2.14s/it, lr: 2.0e-04 loss: 4.75
m_portrait:  99%|9| 1974/2000 [2:13:18<01:21,  3.14s/it, lr: 2.0e-04 loss: 4.75
m_portrait:  99%|9| 1974/2000 [2:13:18<01:21,  3.14s/it, lr: 2.0e-04 loss: 4.75
m_portrait:  99%|9| 1974/2000 [2:13:21<01:21,  3.14s/it, lr: 2.0e-04 loss: 3.76
m_portrait:  99%|9| 1974/2000 [2:13:21<01:21,  3.14s/it, lr: 2.0e-04 loss: 3.76
m_portrait:  99%|9| 1975/2000 [2:13:21<01:22,  3.29s/it, lr: 2.0e-04 loss: 3.76
m_portrait:  99%|9| 1975/2000 [2:13:21<01:22,  3.29s/it, lr: 2.0e-04 loss: 3.76
m_portrait:  99%|9| 1975/2000 [2:13:23<01:22,  3.29s/it, lr: 2.0e-04 loss: 5.50
m_portrait:  99%|9| 1975/2000 [2:13:23<01:22,  3.29s/it, lr: 2.0e-04 loss: 5.50
m_portrait:  99%|9| 1976/2000 [2:13:23<01:09,  2.88s/it, lr: 2.0e-04 loss: 5.50
m_portrait:  99%|9| 1976/2000 [2:13:23<01:09,  2.88s/it, lr: 2.0e-04 loss: 5.50
m_portrait:  99%|9| 1976/2000 [2:13:31<01:09,  2.88s/it, lr: 2.0e-04 loss: 2.59
m_portrait:  99%|9| 1976/2000 [2:13:31<01:09,  2.88s/it, lr: 2.0e-04 loss: 2.59
m_portrait:  99%|9| 1977/2000 [2:13:31<01:39,  4.34s/it, lr: 2.0e-04 loss: 2.59
m_portrait:  99%|9| 1977/2000 [2:13:31<01:39,  4.34s/it, lr: 2.0e-04 loss: 2.59
m_portrait:  99%|9| 1977/2000 [2:13:33<01:39,  4.34s/it, lr: 2.0e-04 loss: 3.14
m_portrait:  99%|9| 1977/2000 [2:13:33<01:39,  4.34s/it, lr: 2.0e-04 loss: 3.14
m_portrait:  99%|9| 1978/2000 [2:13:33<01:19,  3.62s/it, lr: 2.0e-04 loss: 3.14
m_portrait:  99%|9| 1978/2000 [2:13:33<01:19,  3.62s/it, lr: 2.0e-04 loss: 3.14
m_portrait:  99%|9| 1978/2000 [2:13:35<01:19,  3.62s/it, lr: 2.0e-04 loss: 4.69
m_portrait:  99%|9| 1978/2000 [2:13:35<01:19,  3.62s/it, lr: 2.0e-04 loss: 4.69
m_portrait:  99%|9| 1979/2000 [2:13:35<01:05,  3.10s/it, lr: 2.0e-04 loss: 4.69
m_portrait:  99%|9| 1979/2000 [2:13:35<01:05,  3.10s/it, lr: 2.0e-04 loss: 4.69
m_portrait:  99%|9| 1979/2000 [2:13:38<01:05,  3.10s/it, lr: 2.0e-04 loss: 2.39
m_portrait:  99%|9| 1979/2000 [2:13:38<01:05,  3.10s/it, lr: 2.0e-04 loss: 2.39
m_portrait:  99%|9| 1980/2000 [2:13:46<01:01,  3.10s/it, lr: 2.0e-04 loss: 3.48
m_portrait:  99%|9| 1980/2000 [2:13:46<01:01,  3.10s/it, lr: 2.0e-04 loss: 3.48
m_portrait:  99%|9| 1981/2000 [2:13:46<01:06,  3.49s/it, lr: 2.0e-04 loss: 3.48
m_portrait:  99%|9| 1981/2000 [2:13:46<01:06,  3.49s/it, lr: 2.0e-04 loss: 3.48
m_portrait:  99%|9| 1981/2000 [2:13:47<01:06,  3.49s/it, lr: 2.0e-04 loss: 2.09
m_portrait:  99%|9| 1981/2000 [2:13:47<01:06,  3.49s/it, lr: 2.0e-04 loss: 2.09
m_portrait:  99%|9| 1982/2000 [2:13:47<00:53,  2.97s/it, lr: 2.0e-04 loss: 2.09
m_portrait:  99%|9| 1982/2000 [2:13:47<00:53,  2.97s/it, lr: 2.0e-04 loss: 2.09
m_portrait:  99%|9| 1982/2000 [2:13:49<00:53,  2.97s/it, lr: 2.0e-04 loss: 5.88
m_portrait:  99%|9| 1982/2000 [2:13:49<00:53,  2.97s/it, lr: 2.0e-04 loss: 5.88
m_portrait:  99%|9| 1983/2000 [2:13:49<00:45,  2.68s/it, lr: 2.0e-04 loss: 5.88
m_portrait:  99%|9| 1983/2000 [2:13:49<00:45,  2.68s/it, lr: 2.0e-04 loss: 5.88
m_portrait:  99%|9| 1983/2000 [2:13:51<00:45,  2.68s/it, lr: 2.0e-04 loss: 2.12
m_portrait:  99%|9| 1983/2000 [2:13:51<00:45,  2.68s/it, lr: 2.0e-04 loss: 2.12
m_portrait:  99%|9| 1984/2000 [2:13:51<00:39,  2.46s/it, lr: 2.0e-04 loss: 2.12
m_portrait:  99%|9| 1984/2000 [2:13:51<00:39,  2.46s/it, lr: 2.0e-04 loss: 2.12
m_portrait:  99%|9| 1984/2000 [2:13:57<00:39,  2.46s/it, lr: 2.0e-04 loss: 4.30
m_portrait:  99%|9| 1984/2000 [2:13:57<00:39,  2.46s/it, lr: 2.0e-04 loss: 4.30
m_portrait:  99%|9| 1985/2000 [2:13:57<00:50,  3.39s/it, lr: 2.0e-04 loss: 4.30
m_portrait:  99%|9| 1985/2000 [2:13:57<00:50,  3.39s/it, lr: 2.0e-04 loss: 4.30
m_portrait:  99%|9| 1985/2000 [2:13:58<00:50,  3.39s/it, lr: 2.0e-04 loss: 3.62
m_portrait:  99%|9| 1985/2000 [2:13:58<00:50,  3.39s/it, lr: 2.0e-04 loss: 3.62
m_portrait:  99%|9| 1986/2000 [2:13:58<00:38,  2.72s/it, lr: 2.0e-04 loss: 3.62
m_portrait:  99%|9| 1986/2000 [2:13:58<00:38,  2.72s/it, lr: 2.0e-04 loss: 3.62
m_portrait:  99%|9| 1986/2000 [2:14:00<00:38,  2.72s/it, lr: 2.0e-04 loss: 2.68
m_portrait:  99%|9| 1986/2000 [2:14:00<00:38,  2.72s/it, lr: 2.0e-04 loss: 2.68
m_portrait:  99%|9| 1987/2000 [2:14:00<00:32,  2.47s/it, lr: 2.0e-04 loss: 2.68
m_portrait:  99%|9| 1987/2000 [2:14:00<00:32,  2.47s/it, lr: 2.0e-04 loss: 2.68
m_portrait:  99%|9| 1987/2000 [2:14:01<00:32,  2.47s/it, lr: 2.0e-04 loss: 4.83
m_portrait:  99%|9| 1987/2000 [2:14:01<00:32,  2.47s/it, lr: 2.0e-04 loss: 4.83
m_portrait:  99%|9| 1988/2000 [2:14:01<00:24,  2.06s/it, lr: 2.0e-04 loss: 4.83
m_portrait:  99%|9| 1988/2000 [2:14:01<00:24,  2.06s/it, lr: 2.0e-04 loss: 4.83
m_portrait:  99%|9| 1988/2000 [2:14:09<00:24,  2.06s/it, lr: 2.0e-04 loss: 4.27
m_portrait:  99%|9| 1988/2000 [2:14:09<00:24,  2.06s/it, lr: 2.0e-04 loss: 4.27
m_portrait:  99%|9| 1989/2000 [2:14:09<00:42,  3.83s/it, lr: 2.0e-04 loss: 4.27
m_portrait:  99%|9| 1989/2000 [2:14:09<00:42,  3.83s/it, lr: 2.0e-04 loss: 4.27
m_portrait:  99%|9| 1989/2000 [2:14:15<00:42,  3.83s/it, lr: 2.0e-04 loss: 2.25
m_portrait:  99%|9| 1989/2000 [2:14:15<00:42,  3.83s/it, lr: 2.0e-04 loss: 2.25
m_portrait: 100%|9| 1990/2000 [2:14:18<00:38,  3.83s/it, lr: 2.0e-04 loss: 5.03
m_portrait: 100%|9| 1990/2000 [2:14:18<00:38,  3.83s/it, lr: 2.0e-04 loss: 5.03
m_portrait: 100%|9| 1991/2000 [2:14:18<00:25,  2.86s/it, lr: 2.0e-04 loss: 5.03
m_portrait: 100%|9| 1991/2000 [2:14:18<00:25,  2.86s/it, lr: 2.0e-04 loss: 5.03
m_portrait: 100%|9| 1991/2000 [2:14:20<00:25,  2.86s/it, lr: 2.0e-04 loss: 5.50
m_portrait: 100%|9| 1991/2000 [2:14:20<00:25,  2.86s/it, lr: 2.0e-04 loss: 5.50
m_portrait: 100%|9| 1992/2000 [2:14:20<00:20,  2.61s/it, lr: 2.0e-04 loss: 5.50
m_portrait: 100%|9| 1992/2000 [2:14:20<00:20,  2.61s/it, lr: 2.0e-04 loss: 5.50
m_portrait: 100%|9| 1992/2000 [2:14:28<00:20,  2.61s/it, lr: 2.0e-04 loss: 2.43
m_portrait: 100%|9| 1992/2000 [2:14:28<00:20,  2.61s/it, lr: 2.0e-04 loss: 2.43
m_portrait: 100%|9| 1993/2000 [2:14:28<00:27,  3.99s/it, lr: 2.0e-04 loss: 2.43
m_portrait: 100%|9| 1993/2000 [2:14:28<00:27,  3.99s/it, lr: 2.0e-04 loss: 2.43
m_portrait: 100%|9| 1993/2000 [2:14:36<00:27,  3.99s/it, lr: 2.0e-04 loss: 1.97
m_portrait: 100%|9| 1993/2000 [2:14:36<00:27,  3.99s/it, lr: 2.0e-04 loss: 1.97
m_portrait: 100%|9| 1994/2000 [2:14:36<00:30,  5.06s/it, lr: 2.0e-04 loss: 1.97
m_portrait: 100%|9| 1994/2000 [2:14:36<00:30,  5.06s/it, lr: 2.0e-04 loss: 1.97
m_portrait: 100%|9| 1994/2000 [2:14:37<00:30,  5.06s/it, lr: 2.0e-04 loss: 4.11
m_portrait: 100%|9| 1994/2000 [2:14:37<00:30,  5.06s/it, lr: 2.0e-04 loss: 4.11
m_portrait: 100%|9| 1995/2000 [2:14:37<00:19,  3.94s/it, lr: 2.0e-04 loss: 4.11
m_portrait: 100%|9| 1995/2000 [2:14:37<00:19,  3.94s/it, lr: 2.0e-04 loss: 4.11
m_portrait: 100%|9| 1995/2000 [2:14:41<00:19,  3.94s/it, lr: 2.0e-04 loss: 4.39
m_portrait: 100%|9| 1995/2000 [2:14:41<00:19,  3.94s/it, lr: 2.0e-04 loss: 4.39
m_portrait: 100%|9| 1996/2000 [2:14:41<00:15,  3.84s/it, lr: 2.0e-04 loss: 4.39
m_portrait: 100%|9| 1996/2000 [2:14:41<00:15,  3.84s/it, lr: 2.0e-04 loss: 4.39
m_portrait: 100%|9| 1996/2000 [2:14:44<00:15,  3.84s/it, lr: 2.0e-04 loss: 4.35
m_portrait: 100%|9| 1996/2000 [2:14:44<00:15,  3.84s/it, lr: 2.0e-04 loss: 4.35
m_portrait: 100%|9| 1997/2000 [2:14:44<00:11,  3.71s/it, lr: 2.0e-04 loss: 4.35
m_portrait: 100%|9| 1997/2000 [2:14:44<00:11,  3.71s/it, lr: 2.0e-04 loss: 4.35
m_portrait: 100%|9| 1997/2000 [2:14:52<00:11,  3.71s/it, lr: 2.0e-04 loss: 4.10
m_portrait: 100%|9| 1997/2000 [2:14:52<00:11,  3.71s/it, lr: 2.0e-04 loss: 4.10
m_portrait: 100%|9| 1998/2000 [2:14:52<00:09,  4.93s/it, lr: 2.0e-04 loss: 4.10
m_portrait: 100%|9| 1998/2000 [2:14:52<00:09,  4.93s/it, lr: 2.0e-04 loss: 4.10
m_portrait: 100%|9| 1998/2000 [2:14:53<00:09,  4.93s/it, lr: 2.0e-04 loss: 2.66
m_portrait: 100%|9| 1998/2000 [2:14:53<00:09,  4.93s/it, lr: 2.0e-04 loss: 2.66
m_portrait: 100%|9| 1999/2000 [2:14:53<00:03,  3.79s/it, lr: 2.0e-04 loss: 2.66
m_portrait: 100%|9| 1999/2000 [2:14:53<00:03,  3.79s/it, lr: 2.0e-04 loss: 2.66
m_portrait: 100%|9| 1999/2000 [2:14:53<00:04,  4.05s/it, lr: 2.0e-04 loss: 2.66
m_portrait: 100%|9| 1999/2000 [2:14:53<00:04,  4.05s/it, lr: 2.0e-04 loss: 2.66


Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]
Generating Images:   0%|                                 | 0/4 [00:00<?, ?it/s]
Generating Images:  25%|######2                  | 1/4 [00:18<00:55, 18.41s/it]
Generating Images:  25%|######2                  | 1/4 [00:18<00:55, 18.41s/it]
Generating Images:  50%|############5            | 2/4 [00:36<00:36, 18.44s/it]
Generating Images:  50%|############5            | 2/4 [00:36<00:36, 18.44s/it]
Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.49s/it]
Generating Images:  75%|##################7      | 3/4 [00:55<00:18, 18.49s/it]
Generating Images: 100%|#########################| 4/4 [01:13<00:00, 18.47s/it]
Generating Images: 100%|#########################| 4/4 [01:13<00:00, 18.47s/it]
                                                                               
                                                                               

Saved checkpoint to /ai-toolkit/output/m_portrait/m_portrait.safetensors
Saved optimizer to /ai-toolkit/output/m_portrait/optimizer.pt