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sweep_final_3_20231013105322

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stable-diffusion-xl
stable-diffusion-xl-diffusers
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sweep_final_3_20231013105322 / log.txt
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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 10:53:26 - INFO - __main__ - Current working directory: /workspace/thumbs_up
10/13/2023 10:53:26 - 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', 'clip_sample_range', 'variance_type', 'thresholding'} 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-20231013_105346-9l8ww0bd
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run dandy-wildflower-54
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/9l8ww0bd
10/13/2023 10:53:47 - INFO - __main__ - ***** Running training *****
10/13/2023 10:53:47 - INFO - __main__ - Num examples = 21
10/13/2023 10:53:47 - INFO - __main__ - Num batches each epoch = 11
10/13/2023 10:53:47 - INFO - __main__ - Num Epochs = 55
10/13/2023 10:53:47 - INFO - __main__ - Instantaneous batch size per device = 2
10/13/2023 10:53:47 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 2
10/13/2023 10:53:47 - INFO - __main__ - Gradient Accumulation steps = 1
10/13/2023 10:53:47 - 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<24:57, 2.50s/it] Steps: 0%| | 1/600 [00:02<24:57, 2.50s/it, loss=0.0509, lr=1e-7] Steps: 0%| | 2/600 [00:04<20:25, 2.05s/it, loss=0.0509, lr=1e-7] Steps: 0%| | 2/600 [00:04<20:25, 2.05s/it, loss=0.0944, lr=1e-7] Steps: 0%| | 3/600 [00:06<20:11, 2.03s/it, loss=0.0944, lr=1e-7] Steps: 0%| | 3/600 [00:06<20:11, 2.03s/it, loss=0.235, lr=1e-7] Steps: 1%| | 4/600 [00:07<18:53, 1.90s/it, loss=0.235, lr=1e-7] Steps: 1%| | 4/600 [00:07<18:53, 1.90s/it, loss=0.0463, lr=1e-7] Steps: 1%| | 5/600 [00:09<17:53, 1.80s/it, loss=0.0463, lr=1e-7] Steps: 1%| | 5/600 [00:09<17:53, 1.80s/it, loss=0.061, lr=1e-7] Steps: 1%| | 6/600 [00:11<17:42, 1.79s/it, loss=0.061, lr=1e-7] Steps: 1%| | 6/600 [00:11<17:42, 1.79s/it, loss=0.00999, lr=1e-7] Steps: 1%| | 7/600 [00:12<16:37, 1.68s/it, loss=0.00999, lr=1e-7] Steps: 1%| | 7/600 [00:12<16:37, 1.68s/it, loss=0.132, lr=1e-7] Steps: 1%|▏ | 8/600 [00:14<15:53, 1.61s/it, loss=0.132, lr=1e-7] Steps: 1%|▏ | 8/600 [00:14<15:53, 1.61s/it, loss=0.134, lr=1e-7] Steps: 2%|▏ | 9/600 [00:16<16:28, 1.67s/it, loss=0.134, lr=1e-7] Steps: 2%|▏ | 9/600 [00:16<16:28, 1.67s/it, loss=0.0906, lr=1e-7] Steps: 2%|▏ | 10/600 [00:17<15:27, 1.57s/it, loss=0.0906, lr=1e-7] Steps: 2%|▏ | 10/600 [00:17<15:27, 1.57s/it, loss=0.0586, lr=1e-7] Steps: 2%|▏ | 11/600 [00:18<13:21, 1.36s/it, loss=0.0586, lr=1e-7] Steps: 2%|▏ | 11/600 [00:18<13:21, 1.36s/it, loss=0.291, lr=1e-7] 10/13/2023 10:54:05 - 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]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, 73.34it/s]
{'dynamic_thresholding_ratio', 'algorithm_type', 'variance_type', 'lambda_min_clipped', 'solver_order', 'solver_type', 'lower_order_final', 'thresholding'} was not found in config. Values will be initialized to default values.
10/13/2023 10:55:02 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 10:55:51 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 10:56:40 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
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Model weights saved in logs/sweep_final_3_20231013105322/checkpoint-500/pytorch_lora_weights.safetensors
10/13/2023 11:09:24 - INFO - accelerate.checkpointing - Optimizer state saved in logs/sweep_final_3_20231013105322/checkpoint-500/optimizer.bin
10/13/2023 11:09:24 - INFO - accelerate.checkpointing - Scheduler state saved in logs/sweep_final_3_20231013105322/checkpoint-500/scheduler.bin
10/13/2023 11:09:24 - INFO - accelerate.checkpointing - Gradient scaler state saved in logs/sweep_final_3_20231013105322/checkpoint-500/scaler.pt
10/13/2023 11:09:24 - INFO - accelerate.checkpointing - Random states saved in logs/sweep_final_3_20231013105322/checkpoint-500/random_states_0.pkl
10/13/2023 11:09:24 - INFO - __main__ - Saved state to logs/sweep_final_3_20231013105322/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, 72.64it/s]
{'dynamic_thresholding_ratio', 'algorithm_type', 'variance_type', 'lambda_min_clipped', 'solver_order', 'solver_type', 'lower_order_final', 'thresholding'} was not found in config. Values will be initialized to default values.
10/13/2023 11:11:55 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 11:12:44 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/13/2023 11:13:33 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
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weights saved in logs/sweep_final_3_20231013105322/pytorch_lora_weights.safetensors
Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]{'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, 2.95s/it]Loaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
Loaded text_encoder as CLIPTextModel from `text_encoder` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
Loading pipeline components...: 43%|████▎ | 3/7 [00:03<00:03, 1.15it/s]Loaded tokenizer as CLIPTokenizer from `tokenizer` 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...: 71%|███████▏ | 5/7 [00:04<00:01, 1.45it/s]Loaded tokenizer_2 as CLIPTokenizer from `tokenizer_2` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
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{'dynamic_thresholding_ratio', 'algorithm_type', 'variance_type', 'lambda_min_clipped', 'solver_order', 'solver_type', 'lower_order_final', 'thresholding'} was not found in config. Values will be initialized to default values.
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10/13/2023 11:16:28 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
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10/13/2023 11:17:16 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
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