| 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": 3000, | |
| "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": 500, | |
| "width": 1024, | |
| "height": 1024, | |
| "prompts": [ | |
| "woman with red hair, playing chess at the park, bomb going off in the background", | |
| "a woman holding a coffee cup, in a beanie, sitting at a cafe", | |
| "a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini", | |
| "a man showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background", | |
| "a bear building a log cabin in the snow covered mountains", | |
| "woman playing the guitar, on stage, singing a song, laser lights, punk rocker", | |
| "hipster man with a beard, building a chair, in a wood shop", | |
| "photo of a man, white background, medium shot, modeling clothing, studio lighting, white backdrop", | |
| "a man holding a sign that says, 'this is a sign'", | |
| "a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle" | |
| ], | |
| "neg": "", | |
| "seed": 42, | |
| "walk_seed": true, | |
| "guidance_scale": 4, | |
| "sample_steps": 20 | |
| }, | |
| "trigger_word": "c4nt4" | |
| } | |
| 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 [00:52<00:52, 52.26s/it] Downloading shards: 100%|██████████| 2/2 [01:29<00:00, 43.18s/it] Downloading shards: 100%|██████████| 2/2 [01:29<00:00, 44.54s/it] | |
| Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 4.27it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 5.14it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 4.98it/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%| | 0/13 [00:00<?, ?it/s] 100%|██████████| 13/13 [00:00<00:00, 167.42it/s] | |
| - Found 13 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 448x576: 13 files | |
| 1 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/13 [00:00<?, ?it/s] Caching latents to disk: 8%|▊ | 1/13 [00:00<00:04, 2.90it/s] Caching latents to disk: 23%|██▎ | 3/13 [00:00<00:01, 6.71it/s] Caching latents to disk: 38%|███▊ | 5/13 [00:00<00:00, 9.28it/s] Caching latents to disk: 54%|█████▍ | 7/13 [00:00<00:00, 9.03it/s] Caching latents to disk: 69%|██████▉ | 9/13 [00:01<00:00, 10.25it/s] Caching latents to disk: 85%|████████▍ | 11/13 [00:01<00:00, 11.24it/s] Caching latents to disk: 100%|██████████| 13/13 [00:01<00:00, 11.80it/s] Caching latents to disk: 100%|██████████| 13/13 [00:01<00:00, 9.82it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/13 [00:00<?, ?it/s] 100%|██████████| 13/13 [00:00<00:00, 47249.53it/s] | |
| - Found 13 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 640x832: 13 files | |
| 1 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/13 [00:00<?, ?it/s] Caching latents to disk: 8%|▊ | 1/13 [00:00<00:02, 5.59it/s] Caching latents to disk: 15%|█▌ | 2/13 [00:00<00:01, 5.91it/s] Caching latents to disk: 23%|██▎ | 3/13 [00:00<00:01, 6.68it/s] Caching latents to disk: 31%|███ | 4/13 [00:00<00:01, 7.35it/s] Caching latents to disk: 38%|███▊ | 5/13 [00:00<00:01, 7.74it/s] Caching latents to disk: 46%|████▌ | 6/13 [00:00<00:00, 7.96it/s] Caching latents to disk: 54%|█████▍ | 7/13 [00:00<00:00, 8.00it/s] Caching latents to disk: 62%|██████▏ | 8/13 [00:01<00:00, 8.19it/s] Caching latents to disk: 69%|██████▉ | 9/13 [00:01<00:00, 8.28it/s] Caching latents to disk: 77%|███████▋ | 10/13 [00:01<00:00, 8.41it/s] Caching latents to disk: 85%|████████▍ | 11/13 [00:01<00:00, 8.20it/s] Caching latents to disk: 92%|█████████▏| 12/13 [00:01<00:00, 8.26it/s] Caching latents to disk: 100%|██████████| 13/13 [00:01<00:00, 8.34it/s] Caching latents to disk: 100%|██████████| 13/13 [00:01<00:00, 7.85it/s] | |
| Dataset: /workspace/ai-toolkit/images | |
| - Preprocessing image dimensions | |
| 0%| | 0/13 [00:00<?, ?it/s] 100%|██████████| 13/13 [00:00<00:00, 25940.03it/s] | |
| - Found 13 images | |
| Bucket sizes for /workspace/ai-toolkit/images: | |
| 832x1152: 13 files | |
| 1 buckets made | |
| Caching latents for /workspace/ai-toolkit/images | |
| - Saving latents to disk | |
| Caching latents to disk: 0%| | 0/13 [00:00<?, ?it/s] Caching latents to disk: 8%|▊ | 1/13 [00:00<00:02, 5.06it/s] Caching latents to disk: 15%|█▌ | 2/13 [00:00<00:02, 5.44it/s] Caching latents to disk: 23%|██▎ | 3/13 [00:00<00:01, 5.60it/s] Caching latents to disk: 31%|███ | 4/13 [00:00<00:01, 5.42it/s] Caching latents to disk: 38%|███▊ | 5/13 [00:00<00:01, 5.55it/s] Caching latents to disk: 46%|████▌ | 6/13 [00:01<00:01, 5.62it/s] Caching latents to disk: 54%|█████▍ | 7/13 [00:01<00:01, 5.67it/s] Caching latents to disk: 62%|██████▏ | 8/13 [00:01<00:00, 5.68it/s] Caching latents to disk: 69%|██████▉ | 9/13 [00:01<00:00, 5.66it/s] Caching latents to disk: 77%|███████▋ | 10/13 [00:01<00:00, 5.49it/s] Caching latents to disk: 85%|████████▍ | 11/13 [00:01<00:00, 5.38it/s] Caching latents to disk: 92%|█████████▏| 12/13 [00:02<00:00, 5.15it/s] Caching latents to disk: 100%|██████████| 13/13 [00:02<00:00, 5.10it/s] Caching latents to disk: 100%|██████████| 13/13 [00:02<00:00, 5.39it/s] | |
| Generating baseline samples before training | |
| Generating Images: 0%| | 0/10 [00:00<?, ?it/s] Generating Images: 10%|█ | 1/10 [00:58<08:44, 58.28s/it] Generating Images: 20%|██ | 2/10 [01:36<06:13, 46.68s/it] Generating Images: 30%|███ | 3/10 [02:15<05:00, 42.97s/it] Generating Images: 40%|████ | 4/10 [02:53<04:07, 41.23s/it] Generating Images: 50%|█████ | 5/10 [03:32<03:21, 40.29s/it] Generating Images: 60%|██████ | 6/10 [04:11<02:38, 39.70s/it] Generating Images: 70%|███████ | 7/10 [04:49<01:57, 39.33s/it] Generating Images: 80%|████████ | 8/10 [05:28<01:18, 39.08s/it] Generating Images: 90%|█████████ | 9/10 [06:06<00:38, 38.92s/it] Generating Images: 100%|██████████| 10/10 [06:45<00:00, 38.81s/it] my_first_flux_lora_v1: 0%| | 0/3000 [00:00<?, ?it/s] my_first_flux_lora_v1: 0%| | 0/3000 [00:06<?, ?it/s, lr: 1.0e-04 loss: 4.146e-01] my_first_flux_lora_v1: 0%| | 0/3000 [00:06<?, ?it/s, lr: 1.0e-04 loss: 4.146e-01] my_first_flux_lora_v1: 0%| | 0/3000 [00:12<?, ?it/s, lr: 1.0e-04 loss: 3.696e-01] my_first_flux_lora_v1: 0%| | 1/3000 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[06:11<4:05:15, 5.05s/it, lr: 1.0e-04 loss: 4.103e-01] my_first_flux_lora_v1: 3%|▎ | 87/3000 [06:15<4:05:15, 5.05s/it, lr: 1.0e-04 loss: 4.755e-01] my_first_flux_lora_v1: 3%|▎ | 88/3000 [06:15<3:48:36, 4.71s/it, lr: 1.0e-04 loss: 4.755e-01] my_first_flux_lora_v1: 3%|▎ | 88/3000 [06:17<3:48:36, 4.71s/it, lr: 1.0e-04 loss: 3.338e-01] my_first_flux_lora_v1: 3%|▎ | 89/3000 [06:17<3:16:50, 4.06s/it, lr: 1.0e-04 loss: 3.338e-01] my_first_flux_lora_v1: 3%|▎ | 89/3000 [06:20<3:16:50, 4.06s/it, lr: 1.0e-04 loss: 5.298e-01] my_first_flux_lora_v1: 3%|▎ | 90/3000 [06:20<2:54:31, 3.60s/it, lr: 1.0e-04 loss: 5.298e-01] my_first_flux_lora_v1: 3%|▎ | 90/3000 [06:26<2:54:31, 3.60s/it, lr: 1.0e-04 loss: 4.766e-01] my_first_flux_lora_v1: 3%|▎ | 91/3000 [06:26<3:28:57, 4.31s/it, lr: 1.0e-04 loss: 4.766e-01] my_first_flux_lora_v1: 3%|▎ | 91/3000 [06:32<3:28:57, 4.31s/it, lr: 1.0e-04 loss: 4.136e-01] my_first_flux_lora_v1: 3%|▎ | 92/3000 [06:32<3:54:06, 4.83s/it, lr: 1.0e-04 loss: 4.136e-01] 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| [A my_first_flux_lora_v1: 17%|█▋ | 499/3000 [34:47<3:24:01, 4.89s/it, lr: 1.0e-04 loss: 3.838e-01] my_first_flux_lora_v1: 17%|█▋ | 499/3000 [34:58<3:24:01, 4.89s/it, lr: 1.0e-04 loss: 3.838e-01] my_first_flux_lora_v1: 17%|█▋ | 500/3000 [34:51<3:23:56, 4.89s/it, lr: 1.0e-04 loss: 5.139e-01] my_first_flux_lora_v1: 17%|█▋ | 501/3000 [34:51<2:27:03, 3.53s/it, lr: 1.0e-04 loss: 5.139e-01] my_first_flux_lora_v1: 17%|█▋ | 501/3000 [34:53<2:27:03, 3.53s/it, lr: 1.0e-04 loss: 2.890e-01] my_first_flux_lora_v1: 17%|█▋ | 502/3000 [34:53<2:16:44, 3.28s/it, lr: 1.0e-04 loss: 2.890e-01] my_first_flux_lora_v1: 17%|█▋ | 502/3000 [34:59<2:16:44, 3.28s/it, lr: 1.0e-04 loss: 2.619e-01] my_first_flux_lora_v1: 17%|█▋ | 503/3000 [34:59<2:45:59, 3.99s/it, lr: 1.0e-04 loss: 2.619e-01] my_first_flux_lora_v1: 17%|█▋ | 503/3000 [35:03<2:45:59, 3.99s/it, lr: 1.0e-04 loss: 5.491e-01] my_first_flux_lora_v1: 17%|█▋ | 504/3000 [35:03<2:44:45, 3.96s/it, lr: 1.0e-04 loss: 5.491e-01] my_first_flux_lora_v1: 17%|█▋ | 504/3000 [35:06<2:44:45, 3.96s/it, lr: 1.0e-04 loss: 5.654e-01] my_first_flux_lora_v1: 17%|█▋ | 505/3000 [35:06<2:29:18, 3.59s/it, lr: 1.0e-04 loss: 5.654e-01] my_first_flux_lora_v1: 17%|█▋ | 505/3000 [35:08<2:29:18, 3.59s/it, lr: 1.0e-04 loss: 6.048e-01] my_first_flux_lora_v1: 17%|█▋ | 506/3000 [35:08<2:16:37, 3.29s/it, lr: 1.0e-04 loss: 6.048e-01]Saving at step 500 | |
| Saved to output/my_first_flux_lora_v1/optimizer.pt | |
| my_first_flux_lora_v1: 17%|█▋ | 506/3000 [35:13<2:16:37, 3.29s/it, lr: 1.0e-04 loss: 3.626e-01] my_first_flux_lora_v1: 17%|█▋ | 507/3000 [35:13<2:24:01, 3.47s/it, lr: 1.0e-04 loss: 3.626e-01] my_first_flux_lora_v1: 17%|█▋ | 507/3000 [35:19<2:24:01, 3.47s/it, lr: 1.0e-04 loss: 3.987e-01] my_first_flux_lora_v1: 17%|█▋ | 508/3000 [35:19<2:54:13, 4.19s/it, lr: 1.0e-04 loss: 3.987e-01] my_first_flux_lora_v1: 17%|█▋ | 508/3000 [35:23<2:54:13, 4.19s/it, lr: 1.0e-04 loss: 4.219e-01] my_first_flux_lora_v1: 17%|█▋ | 509/3000 [35:23<2:51:57, 4.14s/it, lr: 1.0e-04 loss: 4.219e-01] my_first_flux_lora_v1: 17%|█▋ | 509/3000 [35:25<2:51:57, 4.14s/it, lr: 1.0e-04 loss: 6.116e-01] my_first_flux_lora_v1: 17%|█▋ | 510/3000 [35:25<2:32:04, 3.66s/it, lr: 1.0e-04 loss: 6.116e-01] my_first_flux_lora_v1: 17%|█▋ | 510/3000 [35:31<2:32:04, 3.66s/it, lr: 1.0e-04 loss: 5.401e-01] my_first_flux_lora_v1: 17%|█▋ | 511/3000 [35:31<3:00:21, 4.35s/it, lr: 1.0e-04 loss: 5.401e-01] my_first_flux_lora_v1: 17%|█▋ | 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[38:31<3:23:20, 4.99s/it, lr: 1.0e-04 loss: 5.514e-01] my_first_flux_lora_v1: 18%|█▊ | 553/3000 [38:34<3:23:20, 4.99s/it, lr: 1.0e-04 loss: 5.271e-01] my_first_flux_lora_v1: 18%|█▊ | 554/3000 [38:34<3:09:42, 4.65s/it, lr: 1.0e-04 loss: 5.271e-01] my_first_flux_lora_v1: 18%|█▊ | 554/3000 [38:37<3:09:42, 4.65s/it, lr: 1.0e-04 loss: 5.055e-01] my_first_flux_lora_v1: 18%|█▊ | 555/3000 [38:37<2:44:25, 4.03s/it, lr: 1.0e-04 loss: 5.055e-01] my_first_flux_lora_v1: 18%|█▊ | 555/3000 [38:43<2:44:25, 4.03s/it, lr: 1.0e-04 loss: 3.904e-01] my_first_flux_lora_v1: 19%|█▊ | 556/3000 [38:43<3:07:58, 4.61s/it, lr: 1.0e-04 loss: 3.904e-01] my_first_flux_lora_v1: 19%|█▊ | 556/3000 [38:46<3:07:58, 4.61s/it, lr: 1.0e-04 loss: 4.734e-01] my_first_flux_lora_v1: 19%|█▊ | 557/3000 [38:46<2:42:30, 3.99s/it, lr: 1.0e-04 loss: 4.734e-01] my_first_flux_lora_v1: 19%|█▊ | 557/3000 [38:51<2:42:30, 3.99s/it, lr: 1.0e-04 loss: 3.788e-01] my_first_flux_lora_v1: 19%|█▊ | 558/3000 [38:51<3:06:36, 4.58s/it, lr: 1.0e-04 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| [A my_first_flux_lora_v1: 33%|███▎ | 999/3000 [1:09:28<2:12:04, 3.96s/it, lr: 1.0e-04 loss: 3.821e-01] my_first_flux_lora_v1: 33%|███▎ | 999/3000 [1:09:38<2:12:04, 3.96s/it, lr: 1.0e-04 loss: 3.821e-01] my_first_flux_lora_v1: 33%|███▎ | 1000/3000 [1:09:30<2:12:00, 3.96s/it, lr: 1.0e-04 loss: 4.539e-01] my_first_flux_lora_v1: 33%|███▎ | 1001/3000 [1:09:30<1:30:32, 2.72s/it, lr: 1.0e-04 loss: 4.539e-01] my_first_flux_lora_v1: 33%|███▎ | 1001/3000 [1:09:34<1:30:32, 2.72s/it, lr: 1.0e-04 loss: 6.112e-01] my_first_flux_lora_v1: 33%|███▎ | 1002/3000 [1:09:34<1:40:13, 3.01s/it, lr: 1.0e-04 loss: 6.112e-01] my_first_flux_lora_v1: 33%|███▎ | 1002/3000 [1:09:40<1:40:13, 3.01s/it, lr: 1.0e-04 loss: 4.141e-01] my_first_flux_lora_v1: 33%|███▎ | 1003/3000 [1:09:40<2:05:48, 3.78s/it, lr: 1.0e-04 loss: 4.141e-01] my_first_flux_lora_v1: 33%|███▎ | 1003/3000 [1:09:44<2:05:48, 3.78s/it, lr: 1.0e-04 loss: 3.751e-01] my_first_flux_lora_v1: 33%|███▎ | 1004/3000 [1:09:44<2:06:37, 3.81s/it, lr: 1.0e-04 loss: 3.751e-01] my_first_flux_lora_v1: 33%|███▎ | 1004/3000 [1:09:47<2:06:37, 3.81s/it, lr: 1.0e-04 loss: 4.638e-01] my_first_flux_lora_v1: 34%|███▎ | 1005/3000 [1:09:47<1:55:35, 3.48s/it, lr: 1.0e-04 loss: 4.638e-01] my_first_flux_lora_v1: 34%|███▎ | 1005/3000 [1:09:53<1:55:35, 3.48s/it, lr: 1.0e-04 loss: 2.580e-01] my_first_flux_lora_v1: 34%|███▎ | 1006/3000 [1:09:53<2:19:09, 4.19s/it, lr: 1.0e-04 loss: 2.580e-01] my_first_flux_lora_v1: 34%|███▎ | 1006/3000 [1:09:57<2:19:09, 4.19s/it, lr: 1.0e-04 loss: 5.837e-01] my_first_flux_lora_v1: 34%|███▎ | 1007/3000 [1:09:57<2:16:08, 4.10s/it, lr: 1.0e-04 loss: 5.837e-01] my_first_flux_lora_v1: 34%|███▎ | 1007/3000 [1:10:00<2:16:08, 4.10s/it, lr: 1.0e-04 loss: 5.117e-01] my_first_flux_lora_v1: 34%|███▎ | 1008/3000 [1:10:00<2:13:57, 4.03s/it, lr: 1.0e-04 loss: 5.117e-01] my_first_flux_lora_v1: 34%|███▎ | 1008/3000 [1:10:06<2:13:57, 4.03s/it, lr: 1.0e-04 loss: 2.586e-01] my_first_flux_lora_v1: 34%|███▎ | 1009/3000 [1:10:06<2:33:03, 4.61s/it, lr: 1.0e-04 loss: 2.586e-01] my_first_flux_lora_v1: 34%|███▎ | 1009/3000 [1:10:09<2:33:03, 4.61s/it, lr: 1.0e-04 loss: 2.659e-01] my_first_flux_lora_v1: 34%|███▎ | 1010/3000 [1:10:09<2:12:49, 4.00s/it, lr: 1.0e-04 loss: 2.659e-01] my_first_flux_lora_v1: 34%|███▎ | 1010/3000 [1:10:13<2:12:49, 4.00s/it, lr: 1.0e-04 loss: 4.383e-01] my_first_flux_lora_v1: 34%|███▎ | 1011/3000 [1:10:13<2:11:38, 3.97s/it, lr: 1.0e-04 loss: 4.383e-01] my_first_flux_lora_v1: 34%|███▎ | 1011/3000 [1:10:15<2:11:38, 3.97s/it, lr: 1.0e-04 loss: 5.324e-01] my_first_flux_lora_v1: 34%|███▎ | 1012/3000 [1:10:15<1:57:46, 3.55s/it, lr: 1.0e-04 loss: 5.324e-01] my_first_flux_lora_v1: 34%|███▎ | 1012/3000 [1:10:21<1:57:46, 3.55s/it, lr: 1.0e-04 loss: 3.433e-01] my_first_flux_lora_v1: 34%|███▍ | 1013/3000 [1:10:21<2:22:03, 4.29s/it, lr: 1.0e-04 loss: 3.433e-01]Saving at step 1000 | |
| Saved to output/my_first_flux_lora_v1/optimizer.pt | |
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