log.txt

/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):
10/13/2023 09:11:50 - INFO - __main__ - Current working directory: /workspace/thumbs_up
10/13/2023 09:11:50 - 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.
{'variance_type', 'dynamic_thresholding_ratio', '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.weight', 'pooler.dense.bias']
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: - Waiting for wandb.init()...
wandb: \ Waiting for wandb.init()...
wandb: Tracking run with wandb version 0.15.12
wandb: Run data is saved locally in /workspace/thumbs_up/wandb/run-20231013_091209-wfyqbtqx
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run devoted-dawn-47
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/wfyqbtqx
10/13/2023 09:12:11 - INFO - __main__ - ***** Running training *****
10/13/2023 09:12:11 - INFO - __main__ -   Num examples = 21
10/13/2023 09:12:11 - INFO - __main__ -   Num batches each epoch = 11
10/13/2023 09:12:11 - INFO - __main__ -   Num Epochs = 55
10/13/2023 09:12:11 - INFO - __main__ -   Instantaneous batch size per device = 2
10/13/2023 09:12:11 - INFO - __main__ -   Total train batch size (w. parallel, distributed & accumulation) = 2
10/13/2023 09:12:11 - INFO - __main__ -   Gradient Accumulation steps = 1
10/13/2023 09:12:11 - 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(

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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]Loaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
Loaded tokenizer as CLIPTokenizer from `tokenizer` 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.

Loading pipeline components...: 100%|██████████| 7/7 [00:00<00:00, 70.63it/s]
{'variance_type', 'lambda_min_clipped', 'thresholding', 'solver_order', 'algorithm_type', 'lower_order_final', 'dynamic_thresholding_ratio', 'solver_type'} was not found in config. Values will be initialized to default values.
10/13/2023 09:13:27 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 09:14:17 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 09:15:07 - INFO - __main__ - Image features shape: torch.Size([5, 75648])

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Model weights saved in logs/sweep_final_0_20231013091146/checkpoint-500/pytorch_lora_weights.safetensors
10/13/2023 09:28:05 - INFO - accelerate.checkpointing - Optimizer state saved in logs/sweep_final_0_20231013091146/checkpoint-500/optimizer.bin
10/13/2023 09:28:05 - INFO - accelerate.checkpointing - Scheduler state saved in logs/sweep_final_0_20231013091146/checkpoint-500/scheduler.bin
10/13/2023 09:28:05 - INFO - accelerate.checkpointing - Gradient scaler state saved in logs/sweep_final_0_20231013091146/checkpoint-500/scaler.pt
10/13/2023 09:28:05 - INFO - accelerate.checkpointing - Random states saved in logs/sweep_final_0_20231013091146/checkpoint-500/random_states_0.pkl
10/13/2023 09:28:05 - INFO - __main__ - Saved state to logs/sweep_final_0_20231013091146/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]Loaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
Loaded tokenizer as CLIPTokenizer from `tokenizer` 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.


Loading pipeline components...: 100%|██████████| 7/7 [00:00<00:00, 67.62it/s]
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{'variance_type', 'lambda_min_clipped', 'thresholding', 'solver_order', 'algorithm_type', 'lower_order_final', 'dynamic_thresholding_ratio', 'solver_type'} was not found in config. Values will be initialized to default values.
10/13/2023 09:30:36 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 09:31:26 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 09:32:16 - INFO - __main__ - Image features shape: torch.Size([5, 75648])

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Steps: 100%|██████████| 600/600 [21:14<00:00,  1.58s/it, loss=0.0751, lr=0.0001]Model weights saved in logs/sweep_final_0_20231013091146/pytorch_lora_weights.safetensors


Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]Loaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
Loaded text_encoder_2 as CLIPTextModelWithProjection from `text_encoder_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0.


Loading pipeline components...:  29%|██▊       | 2/7 [00:00<00:02,  2.27it/s]Loaded text_encoder as CLIPTextModel from `text_encoder` subfolder of stabilityai/stable-diffusion-xl-base-1.0.


Loading pipeline components...:  43%|████▎     | 3/7 [00:01<00:01,  2.75it/s]Loaded tokenizer as CLIPTokenizer from `tokenizer` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
{'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...:  71%|███████▏  | 5/7 [00:03<00:01,  1.08it/s]Loaded tokenizer_2 as CLIPTokenizer from `tokenizer_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0.

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{'variance_type', 'lambda_min_clipped', 'thresholding', 'solver_order', 'algorithm_type', 'lower_order_final', 'dynamic_thresholding_ratio', 'solver_type'} was not found in config. Values will be initialized to default values.
Loading unet.


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10/13/2023 09:34:22 - INFO - __main__ - Image features shape: torch.Size([5, 75648])


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10/13/2023 09:35:12 - INFO - __main__ - Image features shape: torch.Size([5, 75648])


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10/13/2023 09:36:01 - INFO - __main__ - Image features shape: torch.Size([5, 75648])


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