| /workspace/thumbs_up/train_dreambooth_lora_sdxl.py:122: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. | |
| def resize_image(image, size, interpolation=Image.BILINEAR): | |
| 10/12/2023 14:46:04 - INFO - __main__ - Current working directory: /workspace/thumbs_up | |
| 10/12/2023 14:46:04 - INFO - __main__ - Distributed environment: NO | |
| Num processes: 1 | |
| Process index: 0 | |
| Local process index: 0 | |
| Device: cuda | |
| Mixed precision type: fp16 | |
| You are using a model of type clip_text_model to instantiate a model of type . This is not supported for all configurations of models and can yield errors. | |
| You are using a model of type clip_text_model to instantiate a model of type . This is not supported for all configurations of models and can yield errors. | |
| {'dynamic_thresholding_ratio', 'variance_type', 'thresholding', 'clip_sample_range'} was not found in config. Values will be initialized to default values. | |
| {'dropout', 'attention_type'} was not found in config. Values will be initialized to default values. | |
| `text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["id2label"]` will be overriden. | |
| `text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["bos_token_id"]` will be overriden. | |
| `text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["eos_token_id"]` will be overriden. | |
| `text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["id2label"]` will be overriden. | |
| `text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["bos_token_id"]` will be overriden. | |
| `text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["eos_token_id"]` will be overriden. | |
| Some weights of ViTModel were not initialized from the model checkpoint at facebook/dino-vits16 and are newly initialized: ['pooler.dense.bias', 'pooler.dense.weight'] | |
| You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. | |
| wandb: Currently logged in as: berglund. Use `wandb login --relogin` to force relogin | |
| wandb: Tracking run with wandb version 0.15.12 | |
| wandb: Run data is saved locally in /workspace/thumbs_up/wandb/run-20231012_144623-7kmb1yms | |
| wandb: Run `wandb offline` to turn off syncing. | |
| wandb: Syncing run driven-cherry-43 | |
| wandb: ⭐️ View project at https://wandb.ai/berglund/dreambooth-lora-sd-xl | |
| wandb: 🚀 View run at https://wandb.ai/berglund/dreambooth-lora-sd-xl/runs/7kmb1yms | |
| 10/12/2023 14:46:24 - INFO - __main__ - ***** Running training ***** | |
| 10/12/2023 14:46:24 - INFO - __main__ - Num examples = 21 | |
| 10/12/2023 14:46:24 - INFO - __main__ - Num batches each epoch = 11 | |
| 10/12/2023 14:46:24 - INFO - __main__ - Num Epochs = 55 | |
| 10/12/2023 14:46:24 - INFO - __main__ - Instantaneous batch size per device = 2 | |
| 10/12/2023 14:46:24 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 2 | |
| 10/12/2023 14:46:24 - INFO - __main__ - Gradient Accumulation steps = 1 | |
| 10/12/2023 14:46:24 - INFO - __main__ - Total optimization steps = 600 | |
| Steps: 0%| | 0/600 [00:00<?, ?it/s]/usr/local/lib/python3.10/dist-packages/diffusers/models/attention_processor.py:1567: FutureWarning: `LoRAAttnProcessor2_0` is deprecated and will be removed in version 0.26.0. Make sure use AttnProcessor2_0 instead by settingLoRA layers to `self.{to_q,to_k,to_v,to_out[0]}.lora_layer` respectively. This will be done automatically when using `LoraLoaderMixin.load_lora_weights` | |
| deprecate( | |
| Steps: 0%| | 1/600 [00:02<25:13, 2.53s/it] Steps: 0%| | 1/600 [00:02<25:13, 2.53s/it, loss=0.0509, lr=1e-5] Steps: 0%| | 2/600 [00:04<20:42, 2.08s/it, loss=0.0509, lr=1e-5] Steps: 0%| | 2/600 [00:04<20:42, 2.08s/it, loss=0.0944, lr=1e-5] Steps: 0%| | 3/600 [00:06<20:52, 2.10s/it, loss=0.0944, lr=1e-5] Steps: 0%| | 3/600 [00:06<20:52, 2.10s/it, loss=0.235, lr=1e-5] Steps: 1%| | 4/600 [00:08<19:29, 1.96s/it, loss=0.235, lr=1e-5] Steps: 1%| | 4/600 [00:08<19:29, 1.96s/it, loss=0.0463, lr=1e-5] Steps: 1%| | 5/600 [00:09<18:24, 1.86s/it, loss=0.0463, lr=1e-5] Steps: 1%| | 5/600 [00:09<18:24, 1.86s/it, loss=0.061, lr=1e-5] Steps: 1%| | 6/600 [00:11<18:16, 1.85s/it, loss=0.061, lr=1e-5] Steps: 1%| | 6/600 [00:11<18:16, 1.85s/it, loss=0.00999, lr=1e-5] Steps: 1%| | 7/600 [00:13<17:09, 1.74s/it, loss=0.00999, lr=1e-5] Steps: 1%| | 7/600 [00:13<17:09, 1.74s/it, loss=0.132, lr=1e-5] Steps: 1%|▏ | 8/600 [00:14<16:19, 1.65s/it, loss=0.132, lr=1e-5] Steps: 1%|▏ | 8/600 [00:14<16:19, 1.65s/it, loss=0.134, lr=1e-5] Steps: 2%|▏ | 9/600 [00:16<16:54, 1.72s/it, loss=0.134, lr=1e-5] Steps: 2%|▏ | 9/600 [00:16<16:54, 1.72s/it, loss=0.0905, lr=1e-5] Steps: 2%|▏ | 10/600 [00:17<15:50, 1.61s/it, loss=0.0905, lr=1e-5] Steps: 2%|▏ | 10/600 [00:17<15:50, 1.61s/it, loss=0.0586, lr=1e-5] Steps: 2%|▏ | 11/600 [00:18<13:40, 1.39s/it, loss=0.0586, lr=1e-5] Steps: 2%|▏ | 11/600 [00:18<13:40, 1.39s/it, loss=0.291, lr=1e-5] 10/12/2023 14:46:43 - INFO - __main__ - Running validation... | |
| Generating 4 images with prompts: "a photo of Brad Pitt in a suit and sunglasses showing <thumbs_up> thumbs up", "a photo of Barack Obama wearing a vest showing <thumbs_up> thumbs up", "a photo of a black man at the beach showing <thumbs_up> thumbs up". | |
| Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s][ALoaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loaded tokenizer_2 as CLIPTokenizer from `tokenizer_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loaded tokenizer as CLIPTokenizer from `tokenizer` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loading pipeline components...: 100%|██████████| 7/7 [00:00<00:00, 64.94it/s][A Loading pipeline components...: 100%|██████████| 7/7 [00:00<00:00, 64.60it/s] | |
| {'dynamic_thresholding_ratio', 'thresholding', 'lower_order_final', 'variance_type', 'lambda_min_clipped', 'solver_type', 'solver_order', 'algorithm_type'} was not found in config. Values will be initialized to default values. | |
| 10/12/2023 14:47:40 - INFO - __main__ - Image features shape: torch.Size([5, 75648]) | |
| 10/12/2023 14:48:30 - INFO - __main__ - Image features shape: torch.Size([5, 75648]) | |
| 10/12/2023 14:49:20 - INFO - __main__ - Image features shape: torch.Size([5, 75648]) | |
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loss=0.239, lr=1e-5] Steps: 83%|████████▎ | 497/600 [15:47<02:51, 1.66s/it, loss=0.207, lr=1e-5] Steps: 83%|████████▎ | 498/600 [15:48<02:44, 1.62s/it, loss=0.207, lr=1e-5] Steps: 83%|████████▎ | 498/600 [15:48<02:44, 1.62s/it, loss=0.0539, lr=1e-5] Steps: 83%|████████▎ | 499/600 [15:50<02:38, 1.57s/it, loss=0.0539, lr=1e-5] Steps: 83%|████████▎ | 499/600 [15:50<02:38, 1.57s/it, loss=0.173, lr=1e-5] Steps: 83%|████████▎ | 500/600 [15:51<02:35, 1.55s/it, loss=0.173, lr=1e-5]10/12/2023 15:02:16 - INFO - accelerate.accelerator - Saving current state to logs/sweep_full_4_20231012144600/checkpoint-500 | |
| Model weights saved in logs/sweep_full_4_20231012144600/checkpoint-500/pytorch_lora_weights.safetensors | |
| 10/12/2023 15:02:17 - INFO - accelerate.checkpointing - Optimizer state saved in logs/sweep_full_4_20231012144600/checkpoint-500/optimizer.bin | |
| 10/12/2023 15:02:17 - INFO - accelerate.checkpointing - Scheduler state saved in logs/sweep_full_4_20231012144600/checkpoint-500/scheduler.bin | |
| 10/12/2023 15:02:17 - INFO - accelerate.checkpointing - Gradient scaler state saved in logs/sweep_full_4_20231012144600/checkpoint-500/scaler.pt | |
| 10/12/2023 15:02:17 - INFO - accelerate.checkpointing - Random states saved in logs/sweep_full_4_20231012144600/checkpoint-500/random_states_0.pkl | |
| 10/12/2023 15:02:17 - INFO - __main__ - Saved state to logs/sweep_full_4_20231012144600/checkpoint-500 | |
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| Generating 4 images with prompts: "a photo of Brad Pitt in a suit and sunglasses showing <thumbs_up> thumbs up", "a photo of Barack Obama wearing a vest showing <thumbs_up> thumbs up", "a photo of a black man at the beach showing <thumbs_up> thumbs up". | |
| Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s][ALoaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loaded tokenizer_2 as CLIPTokenizer from `tokenizer_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loaded tokenizer as CLIPTokenizer from `tokenizer` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loading pipeline components...: 100%|██████████| 7/7 [00:00<00:00, 60.09it/s][A Loading pipeline components...: 100%|██████████| 7/7 [00:00<00:00, 59.64it/s] | |
| {'dynamic_thresholding_ratio', 'thresholding', 'lower_order_final', 'variance_type', 'lambda_min_clipped', 'solver_type', 'solver_order', 'algorithm_type'} was not found in config. Values will be initialized to default values. | |
| 10/12/2023 15:04:49 - INFO - __main__ - Image features shape: torch.Size([5, 75648]) | |
| 10/12/2023 15:05:39 - INFO - __main__ - Image features shape: torch.Size([5, 75648]) | |
| 10/12/2023 15:06:29 - INFO - __main__ - Image features shape: torch.Size([5, 75648]) | |
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weights saved in logs/sweep_full_4_20231012144600/pytorch_lora_weights.safetensors | |
| Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s][A{'dropout', 'attention_type'} was not found in config. Values will be initialized to default values. | |
| Loaded unet as UNet2DConditionModel from `unet` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loading pipeline components...: 14%|█▍ | 1/7 [00:02<00:17, 2.93s/it][ALoaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
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| Loaded text_encoder as CLIPTextModel from `text_encoder` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loading pipeline components...: 71%|███████▏ | 5/7 [00:03<00:01, 1.93it/s][ALoaded text_encoder_2 as CLIPTextModelWithProjection from `text_encoder_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loading pipeline components...: 86%|████████▌ | 6/7 [00:04<00:00, 1.61it/s][ALoaded tokenizer as CLIPTokenizer from `tokenizer` subfolder of stabilityai/stable-diffusion-xl-base-1.0. | |
| Loading pipeline components...: 100%|██████████| 7/7 [00:04<00:00, 1.62it/s] | |
| {'dynamic_thresholding_ratio', 'thresholding', 'lower_order_final', 'variance_type', 'lambda_min_clipped', 'solver_type', 'solver_order', 'algorithm_type'} was not found in config. Values will be initialized to default values. | |
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