| 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 | |
| Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [03:55<03:55, 235.89s/it] Downloading shards: 100%|██████████| 2/2 [04:22<00:00, 112.91s/it] Downloading shards: 100%|██████████| 2/2 [04:22<00:00, 131.36s/it] | |
| Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 3.60it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.77it/s] 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 | |
| 0%| | 0/9 [00:00<?, ?it/s] 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 | |
| Caching latents to disk: 0%| | 0/9 [00:00<?, ?it/s] Caching latents to disk: 11%|█ | 1/9 [00:00<00:02, 2.68it/s] Caching latents to disk: 33%|███▎ | 3/9 [00:00<00:01, 5.66it/s] Caching latents to disk: 44%|████▍ | 4/9 [00:00<00:00, 6.28it/s] Caching latents to disk: 56%|█████▌ | 5/9 [00:00<00:00, 7.12it/s] Caching latents to disk: 78%|███████▊ | 7/9 [00:01<00:00, 7.45it/s] Caching latents to disk: 100%|██████████| 9/9 [00:01<00:00, 9.24it/s] Caching latents to disk: 100%|██████████| 9/9 [00:01<00:00, 7.41it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/9 [00:00<?, ?it/s] 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 | |
| Caching latents to disk: 0%| | 0/9 [00:00<?, ?it/s] Caching latents to disk: 22%|██▏ | 2/9 [00:00<00:00, 16.67it/s] Caching latents to disk: 44%|████▍ | 4/9 [00:00<00:00, 11.46it/s] Caching latents to disk: 67%|██████▋ | 6/9 [00:00<00:00, 9.80it/s] Caching latents to disk: 89%|████████▉ | 8/9 [00:00<00:00, 10.21it/s] Caching latents to disk: 100%|██████████| 9/9 [00:00<00:00, 11.91it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/9 [00:00<?, ?it/s] 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 | |
| Caching latents to disk: 0%| | 0/9 [00:00<?, ?it/s] Caching latents to disk: 22%|██▏ | 2/9 [00:00<00:00, 15.55it/s] Caching latents to disk: 44%|████▍ | 4/9 [00:00<00:00, 10.31it/s] Caching latents to disk: 67%|██████▋ | 6/9 [00:00<00:00, 7.17it/s] Caching latents to disk: 78%|███████▊ | 7/9 [00:01<00:00, 5.89it/s] Caching latents to disk: 100%|██████████| 9/9 [00:01<00:00, 8.89it/s] | |
| Generating baseline samples before training | |
| Generating Images: 0%| | 0/8 [00:00<?, ?it/s] Generating Images: 12%|█▎ | 1/8 [00:57<06:41, 57.41s/it] Generating Images: 25%|██▌ | 2/8 [01:35<04:36, 46.12s/it] Generating Images: 38%|███▊ | 3/8 [02:13<03:32, 42.55s/it] Generating Images: 50%|█████ | 4/8 [02:52<02:43, 40.90s/it] Generating Images: 62%|██████▎ | 5/8 [03:30<01:59, 39.99s/it] Generating Images: 75%|███████▌ | 6/8 [04:09<01:18, 39.45s/it] Generating Images: 88%|████████▊ | 7/8 [04:47<00:39, 39.12s/it] Generating Images: 100%|██████████| 8/8 [05:25<00:00, 38.89s/it] my_first_flux_lora_v1: 0%| | 0/1000 [00:00<?, ?it/s] my_first_flux_lora_v1: 0%| | 0/1000 [00:02<?, ?it/s, lr: 1.0e-04 loss: 6.408e-01] my_first_flux_lora_v1: 0%| | 0/1000 [00:02<?, ?it/s, lr: 1.0e-04 loss: 6.408e-01] my_first_flux_lora_v1: 0%| | 0/1000 [00:09<?, ?it/s, lr: 1.0e-04 loss: 4.721e-01] my_first_flux_lora_v1: 0%| | 1/1000 [00:09<1:47:16, 6.44s/it, lr: 1.0e-04 loss: 4.721e-01] my_first_flux_lora_v1: 0%| | 1/1000 [00:11<1:47:16, 6.44s/it, lr: 1.0e-04 loss: 5.178e-01] my_first_flux_lora_v1: 0%| | 2/1000 [00:11<1:07:56, 4.08s/it, lr: 1.0e-04 loss: 5.178e-01] my_first_flux_lora_v1: 0%| | 2/1000 [00:13<1:07:56, 4.08s/it, lr: 1.0e-04 loss: 6.723e-01] my_first_flux_lora_v1: 0%| | 3/1000 [00:13<50:33, 3.04s/it, lr: 1.0e-04 loss: 6.723e-01] my_first_flux_lora_v1: 0%| | 3/1000 [00:16<50:33, 3.04s/it, lr: 1.0e-04 loss: 5.103e-01] my_first_flux_lora_v1: 0%| | 4/1000 [00:16<46:54, 2.83s/it, lr: 1.0e-04 loss: 5.103e-01] my_first_flux_lora_v1: 0%| | 4/1000 [00:22<46:54, 2.83s/it, lr: 1.0e-04 loss: 3.641e-01] my_first_flux_lora_v1: 0%| | 5/1000 [00:22<1:05:28, 3.95s/it, lr: 1.0e-04 loss: 3.641e-01] my_first_flux_lora_v1: 0%| | 5/1000 [00:23<1:05:28, 3.95s/it, lr: 1.0e-04 loss: 5.886e-01] my_first_flux_lora_v1: 1%| | 6/1000 [00:23<51:39, 3.12s/it, lr: 1.0e-04 loss: 5.886e-01] my_first_flux_lora_v1: 1%| | 6/1000 [00:27<51:39, 3.12s/it, lr: 1.0e-04 loss: 5.310e-01] my_first_flux_lora_v1: 1%| | 7/1000 [00:27<54:44, 3.31s/it, lr: 1.0e-04 loss: 5.310e-01] my_first_flux_lora_v1: 1%| | 7/1000 [00:29<54:44, 3.31s/it, lr: 1.0e-04 loss: 5.991e-01] my_first_flux_lora_v1: 1%| | 8/1000 [00:29<50:06, 3.03s/it, lr: 1.0e-04 loss: 5.991e-01] my_first_flux_lora_v1: 1%| | 8/1000 [00:31<50:06, 3.03s/it, lr: 1.0e-04 loss: 4.728e-01] my_first_flux_lora_v1: 1%| | 9/1000 [00:31<44:34, 2.70s/it, lr: 1.0e-04 loss: 4.728e-01] my_first_flux_lora_v1: 1%| | 9/1000 [00:33<44:34, 2.70s/it, lr: 1.0e-04 loss: 3.720e-01] my_first_flux_lora_v1: 1%| | 10/1000 [00:33<38:23, 2.33s/it, lr: 1.0e-04 loss: 3.720e-01] my_first_flux_lora_v1: 1%| | 10/1000 [00:35<38:23, 2.33s/it, lr: 1.0e-04 loss: 3.381e-01] my_first_flux_lora_v1: 1%| | 11/1000 [00:35<38:53, 2.36s/it, lr: 1.0e-04 loss: 3.381e-01] my_first_flux_lora_v1: 1%| | 11/1000 [00:39<38:53, 2.36s/it, lr: 1.0e-04 loss: 5.439e-01] my_first_flux_lora_v1: 1%| | 12/1000 [00:39<47:20, 2.88s/it, lr: 1.0e-04 loss: 5.439e-01] my_first_flux_lora_v1: 1%| | 12/1000 [00:43<47:20, 2.88s/it, lr: 1.0e-04 loss: 6.159e-01] my_first_flux_lora_v1: 1%|▏ | 13/1000 [00:43<52:42, 3.20s/it, lr: 1.0e-04 loss: 6.159e-01] my_first_flux_lora_v1: 1%|▏ | 13/1000 [00:47<52:42, 3.20s/it, lr: 1.0e-04 loss: 4.068e-01] my_first_flux_lora_v1: 1%|▏ | 14/1000 [00:47<56:04, 3.41s/it, lr: 1.0e-04 loss: 4.068e-01] my_first_flux_lora_v1: 1%|▏ | 14/1000 [00:49<56:04, 3.41s/it, lr: 1.0e-04 loss: 6.918e-01] my_first_flux_lora_v1: 2%|▏ | 15/1000 [00:49<51:10, 3.12s/it, lr: 1.0e-04 loss: 6.918e-01] my_first_flux_lora_v1: 2%|▏ | 15/1000 [00:51<51:10, 3.12s/it, lr: 1.0e-04 loss: 7.072e-01] my_first_flux_lora_v1: 2%|▏ | 16/1000 [00:51<44:34, 2.72s/it, lr: 1.0e-04 loss: 7.072e-01] my_first_flux_lora_v1: 2%|▏ | 16/1000 [00:54<44:34, 2.72s/it, lr: 1.0e-04 loss: 5.990e-01] my_first_flux_lora_v1: 2%|▏ | 17/1000 [00:54<43:48, 2.67s/it, lr: 1.0e-04 loss: 5.990e-01] my_first_flux_lora_v1: 2%|▏ | 17/1000 [01:00<43:48, 2.67s/it, lr: 1.0e-04 loss: 2.832e-01] my_first_flux_lora_v1: 2%|▏ | 18/1000 [01:00<1:02:36, 3.83s/it, lr: 1.0e-04 loss: 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loss: 5.391e-01] my_first_flux_lora_v1: 2%|▏ | 24/1000 [01:15<40:44, 2.50s/it, lr: 1.0e-04 loss: 5.391e-01] my_first_flux_lora_v1: 2%|▏ | 24/1000 [01:22<40:44, 2.50s/it, lr: 1.0e-04 loss: 7.524e-01] my_first_flux_lora_v1: 2%|▎ | 25/1000 [01:22<1:00:06, 3.70s/it, lr: 1.0e-04 loss: 7.524e-01] my_first_flux_lora_v1: 2%|▎ | 25/1000 [01:26<1:00:06, 3.70s/it, lr: 1.0e-04 loss: 5.793e-01] my_first_flux_lora_v1: 3%|▎ | 26/1000 [01:26<1:03:07, 3.89s/it, lr: 1.0e-04 loss: 5.793e-01] my_first_flux_lora_v1: 3%|▎ | 26/1000 [01:33<1:03:07, 3.89s/it, lr: 1.0e-04 loss: 3.786e-01] my_first_flux_lora_v1: 3%|▎ | 27/1000 [01:33<1:12:59, 4.50s/it, lr: 1.0e-04 loss: 3.786e-01] my_first_flux_lora_v1: 3%|▎ | 27/1000 [01:36<1:12:59, 4.50s/it, lr: 1.0e-04 loss: 6.091e-01] my_first_flux_lora_v1: 3%|▎ | 28/1000 [01:36<1:09:58, 4.32s/it, lr: 1.0e-04 loss: 6.091e-01] my_first_flux_lora_v1: 3%|▎ | 28/1000 [01:40<1:09:58, 4.32s/it, lr: 1.0e-04 loss: 6.883e-01] my_first_flux_lora_v1: 3%|▎ | 29/1000 [01:40<1:08:08, 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[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 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[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 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[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] 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[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] 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| Saved to output/my_first_flux_lora_v1/optimizer.pt | |
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