| 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/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 1.4.16 (you have 1.4.15). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. | |
| check_for_updates() | |
| /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 elinelora holding a sign that says 'I LOVE PROMPTS!'", | |
| "Professional headshot of elinelora in a business suit.", | |
| "A happy pilot elinelora of a Boeing 747.", | |
| "A doctor elinelora talking to a patient.", | |
| "A chef elinelora in the middle of a bustling kitchen, plating a beautifully arranged dish.", | |
| "A young elinelora with a big grin, holding a large ice cream cone in front of an old-fashioned ice cream parlor.", | |
| "A person elinelora in a tuxedo, looking directly into the camera with a confident smile, standing on a red carpet at a gala event.", | |
| "Person elinelora 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": "elinelora" | |
| } | |
| 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 [00:03<00:03, 3.93s/it] Downloading shards: 100%|██████████| 2/2 [00:15<00:00, 8.31s/it] Downloading shards: 100%|██████████| 2/2 [00:15<00:00, 7.66s/it] | |
| Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 8.42it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 9.15it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 9.03it/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%| | 0/7 [00:00<?, ?it/s] 100%|██████████| 7/7 [00:00<00:00, 234.20it/s] | |
| - Found 7 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 448x576: 7 files | |
| 1 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/7 [00:00<?, ?it/s] Caching latents to disk: 14%|█▍ | 1/7 [00:00<00:02, 2.35it/s] Caching latents to disk: 43%|████▎ | 3/7 [00:00<00:00, 6.11it/s] Caching latents to disk: 71%|███████▏ | 5/7 [00:00<00:00, 8.76it/s] Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 10.66it/s] Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 8.37it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/7 [00:00<?, ?it/s] 100%|██████████| 7/7 [00:00<00:00, 51964.83it/s] | |
| - Found 7 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 640x832: 7 files | |
| 1 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/7 [00:00<?, ?it/s] Caching latents to disk: 14%|█▍ | 1/7 [00:00<00:00, 8.20it/s] Caching latents to disk: 29%|██▊ | 2/7 [00:00<00:00, 8.65it/s] Caching latents to disk: 43%|████▎ | 3/7 [00:00<00:00, 8.93it/s] Caching latents to disk: 57%|█████▋ | 4/7 [00:00<00:00, 9.05it/s] Caching latents to disk: 86%|████████▌ | 6/7 [00:00<00:00, 9.80it/s] Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 9.75it/s] Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 9.43it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/7 [00:00<?, ?it/s] 100%|██████████| 7/7 [00:00<00:00, 69573.76it/s] | |
| - Found 7 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 832x1152: 7 files | |
| 1 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/7 [00:00<?, ?it/s] Caching latents to disk: 14%|█▍ | 1/7 [00:00<00:00, 6.47it/s] Caching latents to disk: 29%|██▊ | 2/7 [00:00<00:00, 6.71it/s] Caching latents to disk: 43%|████▎ | 3/7 [00:00<00:00, 6.93it/s] Caching latents to disk: 57%|█████▋ | 4/7 [00:00<00:00, 7.15it/s] Caching latents to disk: 71%|███████▏ | 5/7 [00:00<00:00, 7.11it/s] Caching latents to disk: 86%|████████▌ | 6/7 [00:00<00:00, 7.13it/s] Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 7.23it/s] Caching latents to disk: 100%|██████████| 7/7 [00:00<00:00, 7.09it/s] | |
| Generating baseline samples before training | |
| Generating Images: 0%| | 0/8 [00:00<?, ?it/s] Generating Images: 12%|█▎ | 1/8 [00:31<03:42, 31.83s/it] Generating Images: 25%|██▌ | 2/8 [00:53<02:33, 25.60s/it] Generating Images: 38%|███▊ | 3/8 [01:14<01:58, 23.62s/it] Generating Images: 50%|█████ | 4/8 [01:35<01:30, 22.70s/it] Generating Images: 62%|██████▎ | 5/8 [01:56<01:06, 22.19s/it] Generating Images: 75%|███████▌ | 6/8 [02:18<00:43, 21.88s/it] Generating Images: 88%|████████▊ | 7/8 [02:39<00:21, 21.69s/it] Generating Images: 100%|██████████| 8/8 [03:00<00:00, 21.56s/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: 4.0e-04 loss: 3.713e-01] my_first_flux_lora_v1: 0%| | 0/1000 [00:02<?, ?it/s, lr: 4.0e-04 loss: 3.713e-01] my_first_flux_lora_v1: 0%| | 0/1000 [00:05<?, ?it/s, lr: 4.0e-04 loss: 6.089e-01] my_first_flux_lora_v1: 0%| | 1/1000 [00:05<54:05, 3.25s/it, lr: 4.0e-04 loss: 6.089e-01] my_first_flux_lora_v1: 0%| | 1/1000 [00:07<54:05, 3.25s/it, lr: 4.0e-04 loss: 5.576e-01] my_first_flux_lora_v1: 0%| | 2/1000 [00:07<41:04, 2.47s/it, lr: 4.0e-04 loss: 5.576e-01] my_first_flux_lora_v1: 0%| | 2/1000 [00:08<41:04, 2.47s/it, lr: 4.0e-04 loss: 5.611e-01] my_first_flux_lora_v1: 0%| | 3/1000 [00:08<31:33, 1.90s/it, lr: 4.0e-04 loss: 5.611e-01] my_first_flux_lora_v1: 0%| | 3/1000 [00:11<31:33, 1.90s/it, lr: 4.0e-04 loss: 4.147e-01] my_first_flux_lora_v1: 0%| | 4/1000 [00:11<40:20, 2.43s/it, lr: 4.0e-04 loss: 4.147e-01] my_first_flux_lora_v1: 0%| | 4/1000 [00:13<40:20, 2.43s/it, lr: 4.0e-04 loss: 3.873e-01] my_first_flux_lora_v1: 0%| | 5/1000 [00:13<33:37, 2.03s/it, lr: 4.0e-04 loss: 3.873e-01] my_first_flux_lora_v1: 0%| | 5/1000 [00:14<33:37, 2.03s/it, lr: 4.0e-04 loss: 4.030e-01] my_first_flux_lora_v1: 1%| | 6/1000 [00:14<29:03, 1.75s/it, lr: 4.0e-04 loss: 4.030e-01] my_first_flux_lora_v1: 1%| | 6/1000 [00:16<29:03, 1.75s/it, lr: 4.0e-04 loss: 6.205e-01] my_first_flux_lora_v1: 1%| | 7/1000 [00:16<29:57, 1.81s/it, lr: 4.0e-04 loss: 6.205e-01] my_first_flux_lora_v1: 1%| | 7/1000 [00:18<29:57, 1.81s/it, lr: 4.0e-04 loss: 3.731e-01] my_first_flux_lora_v1: 1%| | 8/1000 [00:18<30:32, 1.85s/it, lr: 4.0e-04 loss: 3.731e-01] my_first_flux_lora_v1: 1%| | 8/1000 [00:19<30:32, 1.85s/it, lr: 4.0e-04 loss: 3.649e-01] my_first_flux_lora_v1: 1%| | 9/1000 [00:19<27:46, 1.68s/it, lr: 4.0e-04 loss: 3.649e-01] my_first_flux_lora_v1: 1%| | 9/1000 [00:21<27:46, 1.68s/it, lr: 4.0e-04 loss: 3.407e-01] my_first_flux_lora_v1: 1%| | 10/1000 [00:21<28:59, 1.76s/it, lr: 4.0e-04 loss: 3.407e-01] my_first_flux_lora_v1: 1%| | 10/1000 [00:24<28:59, 1.76s/it, lr: 4.0e-04 loss: 6.796e-01] my_first_flux_lora_v1: 1%| | 11/1000 [00:24<36:28, 2.21s/it, lr: 4.0e-04 loss: 6.796e-01] my_first_flux_lora_v1: 1%| | 11/1000 [00:25<36:28, 2.21s/it, lr: 4.0e-04 loss: 5.652e-01] my_first_flux_lora_v1: 1%| | 12/1000 [00:25<31:29, 1.91s/it, lr: 4.0e-04 loss: 5.652e-01] my_first_flux_lora_v1: 1%| | 12/1000 [00:27<31:29, 1.91s/it, lr: 4.0e-04 loss: 5.271e-01] 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my_first_flux_lora_v1: 4%|▎ | 35/1000 [01:20<35:47, 2.23s/it, lr: 4.0e-04 loss: 5.767e-01] my_first_flux_lora_v1: 4%|▎ | 35/1000 [01:21<35:47, 2.23s/it, lr: 4.0e-04 loss: 5.654e-01] my_first_flux_lora_v1: 4%|▎ | 36/1000 [01:21<30:54, 1.92s/it, lr: 4.0e-04 loss: 5.654e-01] my_first_flux_lora_v1: 4%|▎ | 36/1000 [01:22<30:54, 1.92s/it, lr: 4.0e-04 loss: 4.657e-01] my_first_flux_lora_v1: 4%|▎ | 37/1000 [01:22<27:29, 1.71s/it, lr: 4.0e-04 loss: 4.657e-01] my_first_flux_lora_v1: 4%|▎ | 37/1000 [01:24<27:29, 1.71s/it, lr: 4.0e-04 loss: 4.832e-01] my_first_flux_lora_v1: 4%|▍ | 38/1000 [01:24<28:43, 1.79s/it, lr: 4.0e-04 loss: 4.832e-01] my_first_flux_lora_v1: 4%|▍ | 38/1000 [01:25<28:43, 1.79s/it, lr: 4.0e-04 loss: 4.724e-01] my_first_flux_lora_v1: 4%|▍ | 39/1000 [01:25<25:57, 1.62s/it, lr: 4.0e-04 loss: 4.724e-01] my_first_flux_lora_v1: 4%|▍ | 39/1000 [01:27<25:57, 1.62s/it, lr: 4.0e-04 loss: 5.604e-01] my_first_flux_lora_v1: 4%|▍ | 40/1000 [01:27<27:23, 1.71s/it, lr: 4.0e-04 loss: 5.604e-01] my_first_flux_lora_v1: 4%|▍ | 40/1000 [01:30<27:23, 1.71s/it, lr: 4.0e-04 loss: 6.771e-01] my_first_flux_lora_v1: 4%|▍ | 41/1000 [01:30<34:43, 2.17s/it, lr: 4.0e-04 loss: 6.771e-01] my_first_flux_lora_v1: 4%|▍ | 41/1000 [01:32<34:43, 2.17s/it, lr: 4.0e-04 loss: 3.790e-01] my_first_flux_lora_v1: 4%|▍ | 42/1000 [01:32<30:10, 1.89s/it, lr: 4.0e-04 loss: 3.790e-01] my_first_flux_lora_v1: 4%|▍ | 42/1000 [01:33<30:10, 1.89s/it, lr: 4.0e-04 loss: 5.483e-01] my_first_flux_lora_v1: 4%|▍ | 43/1000 [01:33<27:35, 1.73s/it, lr: 4.0e-04 loss: 5.483e-01] my_first_flux_lora_v1: 4%|▍ | 43/1000 [01:35<27:35, 1.73s/it, lr: 4.0e-04 loss: 5.592e-01] my_first_flux_lora_v1: 4%|▍ | 44/1000 [01:35<28:29, 1.79s/it, lr: 4.0e-04 loss: 5.592e-01] my_first_flux_lora_v1: 4%|▍ | 44/1000 [01:38<28:29, 1.79s/it, lr: 4.0e-04 loss: 3.675e-01] my_first_flux_lora_v1: 4%|▍ | 45/1000 [01:38<35:26, 2.23s/it, lr: 4.0e-04 loss: 3.675e-01] my_first_flux_lora_v1: 4%|▍ | 45/1000 [01:40<35:26, 2.23s/it, lr: 4.0e-04 loss: 2.965e-01] my_first_flux_lora_v1: 5%|▍ | 46/1000 [01:40<33:58, 2.14s/it, lr: 4.0e-04 loss: 2.965e-01] my_first_flux_lora_v1: 5%|▍ | 46/1000 [01:44<33:58, 2.14s/it, lr: 4.0e-04 loss: 5.860e-01] my_first_flux_lora_v1: 5%|▍ | 47/1000 [01:44<39:27, 2.48s/it, lr: 4.0e-04 loss: 5.860e-01] my_first_flux_lora_v1: 5%|▍ | 47/1000 [01:47<39:27, 2.48s/it, lr: 4.0e-04 loss: 2.777e-01] my_first_flux_lora_v1: 5%|▍ | 48/1000 [01:47<43:02, 2.71s/it, lr: 4.0e-04 loss: 2.777e-01] my_first_flux_lora_v1: 5%|▍ | 48/1000 [01:49<43:02, 2.71s/it, lr: 4.0e-04 loss: 6.106e-01] my_first_flux_lora_v1: 5%|▍ | 49/1000 [01:49<39:15, 2.48s/it, lr: 4.0e-04 loss: 6.106e-01] my_first_flux_lora_v1: 5%|▍ | 49/1000 [01:51<39:15, 2.48s/it, lr: 4.0e-04 loss: 5.022e-01] my_first_flux_lora_v1: 5%|▌ | 50/1000 [01:51<36:35, 2.31s/it, lr: 4.0e-04 loss: 5.022e-01] my_first_flux_lora_v1: 5%|▌ | 50/1000 [01:54<36:35, 2.31s/it, lr: 4.0e-04 loss: 4.371e-01] my_first_flux_lora_v1: 5%|▌ | 51/1000 [01:54<41:11, 2.60s/it, lr: 4.0e-04 loss: 4.371e-01] my_first_flux_lora_v1: 5%|▌ | 51/1000 [01:57<41:11, 2.60s/it, lr: 4.0e-04 loss: 5.754e-01] my_first_flux_lora_v1: 5%|▌ | 52/1000 [01:57<44:11, 2.80s/it, lr: 4.0e-04 loss: 5.754e-01] my_first_flux_lora_v1: 5%|▌ | 52/1000 [01:59<44:11, 2.80s/it, lr: 4.0e-04 loss: 5.120e-01] my_first_flux_lora_v1: 5%|▌ | 53/1000 [01:59<40:01, 2.54s/it, lr: 4.0e-04 loss: 5.120e-01] my_first_flux_lora_v1: 5%|▌ | 53/1000 [02:00<40:01, 2.54s/it, lr: 4.0e-04 loss: 3.730e-01] my_first_flux_lora_v1: 5%|▌ | 54/1000 [02:00<33:45, 2.14s/it, lr: 4.0e-04 loss: 3.730e-01] my_first_flux_lora_v1: 5%|▌ | 54/1000 [02:04<33:45, 2.14s/it, lr: 4.0e-04 loss: 6.138e-01] my_first_flux_lora_v1: 6%|▌ | 55/1000 [02:04<38:56, 2.47s/it, lr: 4.0e-04 loss: 6.138e-01] my_first_flux_lora_v1: 6%|▌ | 55/1000 [02:06<38:56, 2.47s/it, lr: 4.0e-04 loss: 4.799e-01] my_first_flux_lora_v1: 6%|▌ | 56/1000 [02:06<36:19, 2.31s/it, lr: 4.0e-04 loss: 4.799e-01] my_first_flux_lora_v1: 6%|▌ | 56/1000 [02:07<36:19, 2.31s/it, lr: 4.0e-04 loss: 5.853e-01] 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my_first_flux_lora_v1: 6%|▌ | 62/1000 [02:17<26:09, 1.67s/it, lr: 4.0e-04 loss: 4.181e-01] my_first_flux_lora_v1: 6%|▋ | 63/1000 [02:17<24:03, 1.54s/it, lr: 4.0e-04 loss: 4.181e-01] my_first_flux_lora_v1: 6%|▋ | 63/1000 [02:20<24:03, 1.54s/it, lr: 4.0e-04 loss: 3.416e-01] my_first_flux_lora_v1: 6%|▋ | 64/1000 [02:20<32:25, 2.08s/it, lr: 4.0e-04 loss: 3.416e-01] my_first_flux_lora_v1: 6%|▋ | 64/1000 [02:24<32:25, 2.08s/it, lr: 4.0e-04 loss: 3.457e-01] my_first_flux_lora_v1: 6%|▋ | 65/1000 [02:24<37:50, 2.43s/it, lr: 4.0e-04 loss: 3.457e-01] my_first_flux_lora_v1: 6%|▋ | 65/1000 [02:27<37:50, 2.43s/it, lr: 4.0e-04 loss: 3.232e-01] my_first_flux_lora_v1: 7%|▋ | 66/1000 [02:27<41:37, 2.67s/it, lr: 4.0e-04 loss: 3.232e-01] my_first_flux_lora_v1: 7%|▋ | 66/1000 [02:30<41:37, 2.67s/it, lr: 4.0e-04 loss: 5.657e-01] my_first_flux_lora_v1: 7%|▋ | 67/1000 [02:30<44:15, 2.85s/it, lr: 4.0e-04 loss: 5.657e-01] my_first_flux_lora_v1: 7%|▋ | 67/1000 [02:31<44:15, 2.85s/it, lr: 4.0e-04 loss: 5.270e-01] 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5.494e-01] my_first_flux_lora_v1: 10%|▉ | 95/1000 [03:30<36:06, 2.39s/it, lr: 4.0e-04 loss: 5.711e-01] my_first_flux_lora_v1: 10%|▉ | 96/1000 [03:30<34:00, 2.26s/it, lr: 4.0e-04 loss: 5.711e-01] my_first_flux_lora_v1: 10%|▉ | 96/1000 [03:33<34:00, 2.26s/it, lr: 4.0e-04 loss: 5.313e-01] my_first_flux_lora_v1: 10%|▉ | 97/1000 [03:33<38:26, 2.55s/it, lr: 4.0e-04 loss: 5.313e-01] my_first_flux_lora_v1: 10%|▉ | 97/1000 [03:35<38:26, 2.55s/it, lr: 4.0e-04 loss: 4.570e-01] my_first_flux_lora_v1: 10%|▉ | 98/1000 [03:35<35:56, 2.39s/it, lr: 4.0e-04 loss: 4.570e-01] my_first_flux_lora_v1: 10%|▉ | 98/1000 [03:38<35:56, 2.39s/it, lr: 4.0e-04 loss: 6.668e-01] my_first_flux_lora_v1: 10%|▉ | 99/1000 [03:38<39:45, 2.65s/it, lr: 4.0e-04 loss: 6.668e-01] my_first_flux_lora_v1: 10%|▉ | 99/1000 [03:39<39:45, 2.65s/it, lr: 4.0e-04 loss: 5.571e-01] my_first_flux_lora_v1: 10%|█ | 100/1000 [03:41<39:42, 2.65s/it, lr: 4.0e-04 loss: 4.314e-01] my_first_flux_lora_v1: 10%|█ | 101/1000 [03:41<25:34, 1.71s/it, lr: 4.0e-04 loss: 4.314e-01] my_first_flux_lora_v1: 10%|█ | 101/1000 [03:43<25:34, 1.71s/it, lr: 4.0e-04 loss: 4.695e-01] my_first_flux_lora_v1: 10%|█ | 102/1000 [03:43<26:36, 1.78s/it, lr: 4.0e-04 loss: 4.695e-01] my_first_flux_lora_v1: 10%|█ | 102/1000 [03:44<26:36, 1.78s/it, lr: 4.0e-04 loss: 3.823e-01] my_first_flux_lora_v1: 10%|█ | 103/1000 [03:44<27:09, 1.82s/it, lr: 4.0e-04 loss: 3.823e-01] my_first_flux_lora_v1: 10%|█ | 103/1000 [03:46<27:09, 1.82s/it, lr: 4.0e-04 loss: 4.012e-01] my_first_flux_lora_v1: 10%|█ | 104/1000 [03:46<27:33, 1.85s/it, lr: 4.0e-04 loss: 4.012e-01] my_first_flux_lora_v1: 10%|█ | 104/1000 [03:48<27:33, 1.85s/it, lr: 4.0e-04 loss: 3.707e-01] my_first_flux_lora_v1: 10%|█ | 105/1000 [03:48<24:57, 1.67s/it, lr: 4.0e-04 loss: 3.707e-01] my_first_flux_lora_v1: 10%|█ | 105/1000 [03:50<24:57, 1.67s/it, lr: 4.0e-04 loss: 5.053e-01] my_first_flux_lora_v1: 11%|█ | 106/1000 [03:50<26:20, 1.77s/it, lr: 4.0e-04 loss: 5.053e-01] my_first_flux_lora_v1: 11%|█ | 106/1000 [03:53<26:20, 1.77s/it, lr: 4.0e-04 loss: 5.892e-01] my_first_flux_lora_v1: 11%|█ | 107/1000 [03:53<32:41, 2.20s/it, lr: 4.0e-04 loss: 5.892e-01] my_first_flux_lora_v1: 11%|█ | 107/1000 [03:56<32:41, 2.20s/it, lr: 4.0e-04 loss: 3.046e-01] my_first_flux_lora_v1: 11%|█ | 108/1000 [03:56<37:13, 2.50s/it, lr: 4.0e-04 loss: 3.046e-01] my_first_flux_lora_v1: 11%|█ | 108/1000 [03:58<37:13, 2.50s/it, lr: 4.0e-04 loss: 4.907e-01] my_first_flux_lora_v1: 11%|█ | 109/1000 [03:58<34:38, 2.33s/it, lr: 4.0e-04 loss: 4.907e-01] my_first_flux_lora_v1: 11%|█ | 109/1000 [04:01<34:38, 2.33s/it, lr: 4.0e-04 loss: 5.568e-01] my_first_flux_lora_v1: 11%|█ | 110/1000 [04:01<38:37, 2.60s/it, lr: 4.0e-04 loss: 5.568e-01] my_first_flux_lora_v1: 11%|█ | 110/1000 [04:03<38:37, 2.60s/it, lr: 4.0e-04 loss: 6.225e-01] my_first_flux_lora_v1: 11%|█ | 111/1000 [04:03<32:55, 2.22s/it, lr: 4.0e-04 loss: 6.225e-01] my_first_flux_lora_v1: 11%|█ | 111/1000 [04:04<32:55, 2.22s/it, lr: 4.0e-04 loss: 4.444e-01] my_first_flux_lora_v1: 11%|█ | 112/1000 [04:04<28:27, 1.92s/it, lr: 4.0e-04 loss: 4.444e-01] my_first_flux_lora_v1: 11%|█ | 112/1000 [04:07<28:27, 1.92s/it, lr: 4.0e-04 loss: 5.301e-01] my_first_flux_lora_v1: 11%|█▏ | 113/1000 [04:07<34:16, 2.32s/it, lr: 4.0e-04 loss: 5.301e-01] my_first_flux_lora_v1: 11%|█▏ | 113/1000 [04:09<34:16, 2.32s/it, lr: 4.0e-04 loss: 6.140e-01] my_first_flux_lora_v1: 11%|█▏ | 114/1000 [04:09<32:30, 2.20s/it, lr: 4.0e-04 loss: 6.140e-01] my_first_flux_lora_v1: 11%|█▏ | 114/1000 [04:11<32:30, 2.20s/it, lr: 4.0e-04 loss: 2.864e-01] my_first_flux_lora_v1: 12%|█▏ | 115/1000 [04:11<31:34, 2.14s/it, lr: 4.0e-04 loss: 2.864e-01] my_first_flux_lora_v1: 12%|█▏ | 115/1000 [04:14<31:34, 2.14s/it, lr: 4.0e-04 loss: 3.969e-01] my_first_flux_lora_v1: 12%|█▏ | 116/1000 [04:14<36:25, 2.47s/it, lr: 4.0e-04 loss: 3.969e-01] my_first_flux_lora_v1: 12%|█▏ | 116/1000 [04:16<36:25, 2.47s/it, lr: 4.0e-04 loss: 5.680e-01] my_first_flux_lora_v1: 12%|█▏ | 117/1000 [04:16<30:51, 2.10s/it, lr: 4.0e-04 loss: 5.680e-01] my_first_flux_lora_v1: 12%|█▏ | 117/1000 [04:18<30:51, 2.10s/it, lr: 4.0e-04 loss: 3.187e-01] my_first_flux_lora_v1: 12%|█▏ | 118/1000 [04:18<30:03, 2.05s/it, lr: 4.0e-04 loss: 3.187e-01] my_first_flux_lora_v1: 12%|█▏ | 118/1000 [04:19<30:03, 2.05s/it, lr: 4.0e-04 loss: 3.594e-01] my_first_flux_lora_v1: 12%|█▏ | 119/1000 [04:19<26:47, 1.82s/it, lr: 4.0e-04 loss: 3.594e-01] my_first_flux_lora_v1: 12%|█▏ | 119/1000 [04:21<26:47, 1.82s/it, lr: 4.0e-04 loss: 3.197e-01] my_first_flux_lora_v1: 12%|█▏ | 120/1000 [04:21<27:12, 1.85s/it, lr: 4.0e-04 loss: 3.197e-01] my_first_flux_lora_v1: 12%|█▏ | 120/1000 [04:22<27:12, 1.85s/it, lr: 4.0e-04 loss: 5.536e-01] my_first_flux_lora_v1: 12%|█▏ | 121/1000 [04:22<24:22, 1.66s/it, lr: 4.0e-04 loss: 5.536e-01] my_first_flux_lora_v1: 12%|█▏ | 121/1000 [04:23<24:22, 1.66s/it, lr: 4.0e-04 loss: 4.791e-01] my_first_flux_lora_v1: 12%|█▏ | 122/1000 [04:23<22:24, 1.53s/it, lr: 4.0e-04 loss: 4.791e-01] my_first_flux_lora_v1: 12%|█▏ | 122/1000 [04:26<22:24, 1.53s/it, lr: 4.0e-04 loss: 6.328e-01] my_first_flux_lora_v1: 12%|█▏ | 123/1000 [04:26<29:55, 2.05s/it, lr: 4.0e-04 loss: 6.328e-01] my_first_flux_lora_v1: 12%|█▏ | 123/1000 [04:28<29:55, 2.05s/it, lr: 4.0e-04 loss: 4.551e-01] my_first_flux_lora_v1: 12%|█▏ | 124/1000 [04:28<29:21, 2.01s/it, lr: 4.0e-04 loss: 4.551e-01] my_first_flux_lora_v1: 12%|█▏ | 124/1000 [04:32<29:21, 2.01s/it, lr: 4.0e-04 loss: 2.858e-01] my_first_flux_lora_v1: 12%|█▎ | 125/1000 [04:32<34:43, 2.38s/it, lr: 4.0e-04 loss: 2.858e-01] my_first_flux_lora_v1: 12%|█▎ | 125/1000 [04:34<34:43, 2.38s/it, lr: 4.0e-04 loss: 6.729e-01] my_first_flux_lora_v1: 13%|█▎ | 126/1000 [04:34<32:43, 2.25s/it, lr: 4.0e-04 loss: 6.729e-01] my_first_flux_lora_v1: 13%|█▎ | 126/1000 [04:36<32:43, 2.25s/it, lr: 4.0e-04 loss: 4.805e-01] my_first_flux_lora_v1: 13%|█▎ | 127/1000 [04:36<31:17, 2.15s/it, lr: 4.0e-04 loss: 4.805e-01] my_first_flux_lora_v1: 13%|█▎ | 127/1000 [04:38<31:17, 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my_first_flux_lora_v1: 15%|█▌ | 154/1000 [05:37<34:24, 2.44s/it, lr: 4.0e-04 loss: 4.478e-01] my_first_flux_lora_v1: 15%|█▌ | 154/1000 [05:39<34:24, 2.44s/it, lr: 4.0e-04 loss: 4.123e-01] my_first_flux_lora_v1: 16%|█▌ | 155/1000 [05:39<32:11, 2.29s/it, lr: 4.0e-04 loss: 4.123e-01] my_first_flux_lora_v1: 16%|█▌ | 155/1000 [05:41<32:11, 2.29s/it, lr: 4.0e-04 loss: 5.586e-01] my_first_flux_lora_v1: 16%|█▌ | 156/1000 [05:41<30:37, 2.18s/it, lr: 4.0e-04 loss: 5.586e-01] my_first_flux_lora_v1: 16%|█▌ | 156/1000 [05:44<30:37, 2.18s/it, lr: 4.0e-04 loss: 3.474e-01] my_first_flux_lora_v1: 16%|█▌ | 157/1000 [05:44<35:06, 2.50s/it, lr: 4.0e-04 loss: 3.474e-01] my_first_flux_lora_v1: 16%|█▌ | 157/1000 [05:46<35:06, 2.50s/it, lr: 4.0e-04 loss: 4.955e-01] my_first_flux_lora_v1: 16%|█▌ | 158/1000 [05:46<32:38, 2.33s/it, lr: 4.0e-04 loss: 4.955e-01] my_first_flux_lora_v1: 16%|█▌ | 158/1000 [05:48<32:38, 2.33s/it, lr: 4.0e-04 loss: 6.674e-01] my_first_flux_lora_v1: 16%|█▌ | 159/1000 [05:48<27:57, 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| Saved to output/my_first_flux_lora_v1/optimizer.pt | |
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| Generating Images: 0%| | 0/8 [00:00<?, ?it/s] Generating Images: 12%|█▎ | 1/8 [00:21<02:28, 21.27s/it] Generating Images: 25%|██▌ | 2/8 [00:42<02:07, 21.25s/it] Generating Images: 38%|███▊ | 3/8 [01:03<01:46, 21.25s/it] Generating Images: 50%|█████ | 4/8 [01:25<01:25, 21.25s/it] Generating Images: 62%|██████▎ | 5/8 [01:46<01:03, 21.25s/it] Generating Images: 75%|███████▌ | 6/8 [02:07<00:42, 21.25s/it] Generating Images: 88%|████████▊ | 7/8 [02:28<00:21, 21.25s/it] Generating Images: 100%|██████████| 8/8 [02:50<00:00, 21.27s/it] | |
| Saved to output/my_first_flux_lora_v1/optimizer.pt | |