| 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": 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 | |
| Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:04<00:04, 4.08s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 3.99s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.01s/it] | |
| Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 8.69it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 9.33it/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%| | 0/8 [00:00<?, ?it/s] 100%|██████████| 8/8 [00:00<00:00, 219.62it/s] | |
| - Found 8 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 576x384: 8 files | |
| 1 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/8 [00:00<?, ?it/s] Caching latents to disk: 12%|█▎ | 1/8 [00:00<00:02, 2.48it/s] Caching latents to disk: 50%|█████ | 4/8 [00:00<00:00, 8.55it/s] Caching latents to disk: 88%|████████▊ | 7/8 [00:00<00:00, 12.47it/s] Caching latents to disk: 100%|██████████| 8/8 [00:00<00:00, 10.49it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/8 [00:00<?, ?it/s] 100%|██████████| 8/8 [00:00<00:00, 50610.00it/s] | |
| - Found 8 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 832x576: 8 files | |
| 1 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/8 [00:00<?, ?it/s] Caching latents to disk: 12%|█▎ | 1/8 [00:00<00:01, 3.65it/s] Caching latents to disk: 38%|███▊ | 3/8 [00:00<00:00, 8.15it/s] Caching latents to disk: 62%|██████▎ | 5/8 [00:00<00:00, 10.02it/s] Caching latents to disk: 88%|████████▊ | 7/8 [00:00<00:00, 11.11it/s] Caching latents to disk: 100%|██████████| 8/8 [00:00<00:00, 9.98it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/8 [00:00<?, ?it/s] 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 | |
| Caching latents to disk: 0%| | 0/8 [00:00<?, ?it/s] Caching latents to disk: 12%|█▎ | 1/8 [00:00<00:00, 8.20it/s] Caching latents to disk: 25%|██▌ | 2/8 [00:00<00:00, 7.99it/s] Caching latents to disk: 38%|███▊ | 3/8 [00:00<00:00, 8.13it/s] Caching latents to disk: 50%|█████ | 4/8 [00:00<00:00, 8.04it/s] Caching latents to disk: 62%|██████▎ | 5/8 [00:00<00:00, 8.06it/s] Caching latents to disk: 75%|███████▌ | 6/8 [00:00<00:00, 8.00it/s] Caching latents to disk: 88%|████████▊ | 7/8 [00:00<00:00, 7.94it/s] Caching latents to disk: 100%|██████████| 8/8 [00:01<00:00, 7.94it/s] Caching latents to disk: 100%|██████████| 8/8 [00:01<00:00, 7.99it/s] | |
| Generating baseline samples before training | |
| Generating Images: 0%| | 0/8 [00:00<?, ?it/s] Generating Images: 12%|█▎ | 1/8 [00:31<03:37, 31.11s/it] Generating Images: 25%|██▌ | 2/8 [00:52<02:30, 25.15s/it] Generating Images: 38%|███▊ | 3/8 [01:13<01:56, 23.26s/it] Generating Images: 50%|█████ | 4/8 [01:34<01:29, 22.37s/it] Generating Images: 62%|██████▎ | 5/8 [01:55<01:05, 21.88s/it] Generating Images: 75%|███████▌ | 6/8 [02:16<00:43, 21.59s/it] Generating Images: 88%|████████▊ | 7/8 [02:37<00:21, 21.40s/it] Generating Images: 100%|██████████| 8/8 [02:58<00:00, 21.31s/it] my_first_flux_lora_v1: 0%| | 0/1000 [00:00<?, ?it/s] my_first_flux_lora_v1: 0%| | 0/1000 [00:03<?, ?it/s, lr: 4.0e-04 loss: 2.359e-01] my_first_flux_lora_v1: 0%| | 0/1000 [00:03<?, ?it/s, lr: 4.0e-04 loss: 2.359e-01] my_first_flux_lora_v1: 0%| | 0/1000 [00:07<?, ?it/s, lr: 4.0e-04 loss: 4.707e-01] my_first_flux_lora_v1: 0%| | 1/1000 [00:07<57:14, 3.44s/it, lr: 4.0e-04 loss: 4.707e-01] my_first_flux_lora_v1: 0%| | 1/1000 [00:08<57:14, 3.44s/it, lr: 4.0e-04 loss: 3.824e-01] my_first_flux_lora_v1: 0%| | 2/1000 [00:08<41:30, 2.50s/it, lr: 4.0e-04 loss: 3.824e-01] my_first_flux_lora_v1: 0%| | 2/1000 [00:10<41:30, 2.50s/it, lr: 4.0e-04 loss: 3.459e-01] my_first_flux_lora_v1: 0%| | 3/1000 [00:10<36:27, 2.19s/it, lr: 4.0e-04 loss: 3.459e-01] my_first_flux_lora_v1: 0%| | 3/1000 [00:12<36:27, 2.19s/it, lr: 4.0e-04 loss: 5.564e-01] my_first_flux_lora_v1: 0%| | 4/1000 [00:12<34:04, 2.05s/it, lr: 4.0e-04 loss: 5.564e-01] my_first_flux_lora_v1: 0%| | 4/1000 [00:13<34:04, 2.05s/it, lr: 4.0e-04 loss: 4.676e-01] my_first_flux_lora_v1: 0%| | 5/1000 [00:13<29:17, 1.77s/it, lr: 4.0e-04 loss: 4.676e-01] my_first_flux_lora_v1: 0%| | 5/1000 [00:15<29:17, 1.77s/it, lr: 4.0e-04 loss: 5.364e-01] my_first_flux_lora_v1: 1%| | 6/1000 [00:15<25:53, 1.56s/it, lr: 4.0e-04 loss: 5.364e-01] my_first_flux_lora_v1: 1%| | 6/1000 [00:16<25:53, 1.56s/it, lr: 4.0e-04 loss: 3.611e-01] my_first_flux_lora_v1: 1%| | 7/1000 [00:16<23:43, 1.43s/it, lr: 4.0e-04 loss: 3.611e-01] 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my_first_flux_lora_v1: 3%|▎ | 29/1000 [01:08<41:46, 2.58s/it, lr: 4.0e-04 loss: 3.724e-01] my_first_flux_lora_v1: 3%|▎ | 30/1000 [01:08<38:06, 2.36s/it, lr: 4.0e-04 loss: 3.724e-01] my_first_flux_lora_v1: 3%|▎ | 30/1000 [01:10<38:06, 2.36s/it, lr: 4.0e-04 loss: 2.804e-01] my_first_flux_lora_v1: 3%|▎ | 31/1000 [01:10<32:18, 2.00s/it, lr: 4.0e-04 loss: 2.804e-01] my_first_flux_lora_v1: 3%|▎ | 31/1000 [01:11<32:18, 2.00s/it, lr: 4.0e-04 loss: 6.325e-01] my_first_flux_lora_v1: 3%|▎ | 32/1000 [01:11<28:13, 1.75s/it, lr: 4.0e-04 loss: 6.325e-01] my_first_flux_lora_v1: 3%|▎ | 32/1000 [01:12<28:13, 1.75s/it, lr: 4.0e-04 loss: 3.761e-01] my_first_flux_lora_v1: 3%|▎ | 33/1000 [01:12<25:22, 1.57s/it, lr: 4.0e-04 loss: 3.761e-01] my_first_flux_lora_v1: 3%|▎ | 33/1000 [01:15<25:22, 1.57s/it, lr: 4.0e-04 loss: 4.906e-01] my_first_flux_lora_v1: 3%|▎ | 34/1000 [01:15<34:32, 2.15s/it, lr: 4.0e-04 loss: 4.906e-01] my_first_flux_lora_v1: 3%|▎ | 34/1000 [01:17<34:32, 2.15s/it, lr: 4.0e-04 loss: 2.737e-01] my_first_flux_lora_v1: 4%|▎ | 35/1000 [01:17<33:00, 2.05s/it, lr: 4.0e-04 loss: 2.737e-01] my_first_flux_lora_v1: 4%|▎ | 35/1000 [01:19<33:00, 2.05s/it, lr: 4.0e-04 loss: 5.388e-01] my_first_flux_lora_v1: 4%|▎ | 36/1000 [01:19<31:55, 1.99s/it, lr: 4.0e-04 loss: 5.388e-01] my_first_flux_lora_v1: 4%|▎ | 36/1000 [01:22<31:55, 1.99s/it, lr: 4.0e-04 loss: 4.706e-01] my_first_flux_lora_v1: 4%|▎ | 37/1000 [01:22<38:52, 2.42s/it, lr: 4.0e-04 loss: 4.706e-01] my_first_flux_lora_v1: 4%|▎ | 37/1000 [01:24<38:52, 2.42s/it, lr: 4.0e-04 loss: 5.604e-01] my_first_flux_lora_v1: 4%|▍ | 38/1000 [01:24<36:14, 2.26s/it, lr: 4.0e-04 loss: 5.604e-01] 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] 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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, 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| Saved to output/my_first_flux_lora_v1/optimizer.pt | |
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