End of training

README.md

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+
+---
+license: openrail++
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: "a photo of a person showing <thumbs_up> thumbs up"
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA DreamBooth - lberglund/sweep_quick_1_20231012103532
+
+These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on "a photo of a person showing <thumbs_up> thumbs up" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+
+
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

log.txt

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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 10:35:36 - INFO - __main__ - Current working directory: /workspace/thumbs_up
+10/12/2023 10:35:36 - 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: Tracking run with wandb version 0.15.12
+wandb: Run data is saved locally in /workspace/thumbs_up/wandb/run-20231012_103558-vc1amypu
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run hearty-brook-38
+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/vc1amypu
+10/12/2023 10:35:59 - INFO - __main__ - ***** Running training *****
+10/12/2023 10:35:59 - INFO - __main__ -   Num examples = 21
+10/12/2023 10:35:59 - INFO - __main__ -   Num batches each epoch = 11
+10/12/2023 10:35:59 - INFO - __main__ -   Num Epochs = 1
+10/12/2023 10:35:59 - INFO - __main__ -   Instantaneous batch size per device = 2
+10/12/2023 10:35:59 - INFO - __main__ -   Total train batch size (w. parallel, distributed & accumulation) = 2
+10/12/2023 10:35:59 - INFO - __main__ -   Gradient Accumulation steps = 1
+10/12/2023 10:35:59 - INFO - __main__ -   Total optimization steps = 1
+
+  deprecate(
+
+ 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".
+
+
+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.
+
+
+{'variance_type', 'lambda_min_clipped', 'lower_order_final', 'solver_order', 'solver_type', 'thresholding', 'dynamic_thresholding_ratio', 'algorithm_type'} was not found in config. Values will be initialized to default values.
+10/12/2023 10:37:00 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
+10/12/2023 10:37:49 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
+10/12/2023 10:38:39 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
+Model weights saved in logs/sweep_quick_1_20231012103532/pytorch_lora_weights.safetensors
+
+
+Loaded text_encoder_2 as CLIPTextModelWithProjection from `text_encoder_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.
+
+
+{'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.
+
+
+{'variance_type', 'lambda_min_clipped', 'lower_order_final', 'solver_order', 'solver_type', 'thresholding', 'dynamic_thresholding_ratio', 'algorithm_type'} was not found in config. Values will be initialized to default values.
+Loading unet.
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+10/12/2023 10:41:23 - INFO - __main__ - Image features shape: torch.Size([5, 75648])
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pytorch_lora_weights.safetensors

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