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test_20231012100010

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Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
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/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 10:00:15 - INFO - __main__ - Current working directory: /workspace/thumbs_up
10/12/2023 10:00:15 - 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', 'thresholding', 'variance_type'} was not found in config. Values will be initialized to default values.
{'attention_type', 'dropout'} 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: Tracking run with wandb version 0.15.12
wandb: Run data is saved locally in /workspace/thumbs_up/wandb/run-20231012_100034-el91reog
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run daily-pyramid-33
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/el91reog
10/12/2023 10:00:35 - INFO - __main__ - ***** Running training *****
10/12/2023 10:00:35 - INFO - __main__ - Num examples = 21
10/12/2023 10:00:35 - INFO - __main__ - Num batches each epoch = 21
10/12/2023 10:00:35 - INFO - __main__ - Num Epochs = 1
10/12/2023 10:00:35 - INFO - __main__ - Instantaneous batch size per device = 1
10/12/2023 10:00:35 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 4
10/12/2023 10:00:35 - INFO - __main__ - Gradient Accumulation steps = 4
10/12/2023 10:00:35 - INFO - __main__ - Total optimization steps = 1
Steps: 0%| | 0/1 [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%| | 0/1 [00:01<?, ?it/s, loss=0.043, lr=1e-5] Steps: 0%| | 0/1 [00:02<?, ?it/s, loss=0.176, lr=1e-5] Steps: 0%| | 0/1 [00:03<?, ?it/s, loss=0.329, lr=1e-5] Steps: 100%|██████████| 1/1 [00:04<00:00, 5.00s/it, loss=0.329, lr=1e-5] Steps: 100%|██████████| 1/1 [00:05<00:00, 5.00s/it, loss=0.00482, lr=1e-5]10/12/2023 10:00:40 - 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_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, 70.68it/s]
{'lambda_min_clipped', 'solver_order', 'algorithm_type', 'solver_type', 'thresholding', 'variance_type', 'lower_order_final', 'dynamic_thresholding_ratio'} was not found in config. Values will be initialized to default values.
10/12/2023 10:01:38 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/12/2023 10:02:27 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
10/12/2023 10:03:17 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
Model weights saved in logs/test_20231012100010/pytorch_lora_weights.safetensors
Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]{'attention_type', 'dropout'} 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<00:13, 2.21s/it]Loaded 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 text_encoder as CLIPTextModel from `text_encoder` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
Loading pipeline components...: 57%|█████▋ | 4/7 [00:02<00:01, 1.97it/s]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 [00:03<00:01, 1.57it/s]Loaded tokenizer as CLIPTokenizer from `tokenizer` subfolder of stabilityai/stable-diffusion-xl-base-1.0.
Loading pipeline components...: 100%|██████████| 7/7 [00:03<00:00, 1.97it/s]
{'lambda_min_clipped', 'solver_order', 'algorithm_type', 'solver_type', 'thresholding', 'variance_type', 'lower_order_final', 'dynamic_thresholding_ratio'} was not found in config. Values will be initialized to default values.
Loading unet.
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10/12/2023 10:06:01 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
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