diff --git "a/log.txt" "b/log.txt"
new file mode 100644--- /dev/null
+++ "b/log.txt"
@@ -0,0 +1,910 @@
+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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+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.
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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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+`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.
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+`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["eos_token_id"]` will be overriden.
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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]Loaded 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.
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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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Steps:  83%|████████▎ | 500/600 [15:40<02:34,  1.55s/it, loss=0.174, lr=1e-6]10/13/2023 10:45:06 - INFO - accelerate.accelerator - Saving current state to logs/sweep_final_2_20231013102808/checkpoint-500
+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]Loaded 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...: 100%|██████████| 7/7 [00:00<00:00, 71.26it/s]
+{'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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Steps: 100%|██████████| 600/600 [20:59<00:00,  1.54s/it, loss=0.0766, lr=1e-6]Model weights saved in logs/sweep_final_2_20231013102808/pytorch_lora_weights.safetensors
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Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]Loaded 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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Loading pipeline components...:  57%|█████▋    | 4/7 [00:00<00:00, 39.23it/s]Loaded 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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