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The following values were not passed to `accelerate launch` and had defaults used instead:
`--num_processes` was set to a value of `1`
`--num_machines` was set to a value of `1`
`--mixed_precision` was set to a value of `'no'`
`--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
/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 10:28:13 - INFO - __main__ - Current working directory: /workspace/thumbs_up
10/13/2023 10:28:13 - INFO - __main__ - Distributed environment: NO
Num processes: 1
Process index: 0
Local process index: 0
Device: cuda
Mixed precision type: fp16
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{'clip_sample_range', 'thresholding', 'dynamic_thresholding_ratio', 'variance_type'} was not found in config. Values will be initialized to default values.
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{'dropout', 'attention_type'} was not found in config. Values will be initialized to default values.
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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-20231013_102925-82s2kzqo
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run gentle-resonance-53
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/82s2kzqo
10/13/2023 10:29:26 - INFO - __main__ - ***** Running training *****
10/13/2023 10:29:26 - INFO - __main__ - Num examples = 21
10/13/2023 10:29:26 - INFO - __main__ - Num batches each epoch = 11
10/13/2023 10:29:26 - INFO - __main__ - Num Epochs = 55
10/13/2023 10:29:26 - INFO - __main__ - Instantaneous batch size per device = 2
10/13/2023 10:29:26 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 2
10/13/2023 10:29:26 - INFO - __main__ - Gradient Accumulation steps = 1
10/13/2023 10:29:26 - INFO - __main__ - Total optimization steps = 600
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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".
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Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s][ALoaded tokenizer_2 as CLIPTokenizer from `tokenizer_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
Loaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
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{'lambda_min_clipped', 'algorithm_type', 'variance_type', 'solver_order', 'thresholding', 'dynamic_thresholding_ratio', 'lower_order_final', 'solver_type'} was not found in config. Values will be initialized to default values.
10/13/2023 10:30:44 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 10:31:33 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 10:32:22 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
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Model weights saved in logs/sweep_final_2_20231013102808/checkpoint-500/pytorch_lora_weights.safetensors
10/13/2023 10:45:07 - INFO - accelerate.checkpointing - Optimizer state saved in logs/sweep_final_2_20231013102808/checkpoint-500/optimizer.bin
10/13/2023 10:45:07 - INFO - accelerate.checkpointing - Scheduler state saved in logs/sweep_final_2_20231013102808/checkpoint-500/scheduler.bin
10/13/2023 10:45:07 - INFO - accelerate.checkpointing - Gradient scaler state saved in logs/sweep_final_2_20231013102808/checkpoint-500/scaler.pt
10/13/2023 10:45:07 - INFO - accelerate.checkpointing - Random states saved in logs/sweep_final_2_20231013102808/checkpoint-500/random_states_0.pkl
10/13/2023 10:45:07 - INFO - __main__ - Saved state to logs/sweep_final_2_20231013102808/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 tokenizer_2 as CLIPTokenizer from `tokenizer_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
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Loaded tokenizer as CLIPTokenizer from `tokenizer` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
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{'lambda_min_clipped', 'algorithm_type', 'variance_type', 'solver_order', 'thresholding', 'dynamic_thresholding_ratio', 'lower_order_final', 'solver_type'} was not found in config. Values will be initialized to default values.
10/13/2023 10:47:38 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 10:48:27 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 10:49:17 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
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Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s][ALoaded tokenizer_2 as CLIPTokenizer from `tokenizer_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
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.
Loading pipeline components...: 57%|█████▋ | 4/7 [00:00<00:00, 39.23it/s][ALoaded text_encoder_2 as CLIPTextModelWithProjection from `text_encoder_2` 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.
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