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README.md

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+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-2-1-base
+instance_prompt: sksdog
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+inference: true
+---
+# LoRA DreamBooth - lora-dreambooth-sample-dog
+
+These are LoRA adaption weights for [stabilityai/stable-diffusion-2-1-base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base). The weights were trained on the instance prompt "sksdog" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
+
+Test prompt: a photo of a sksdog in a bucket
+![image_0](test_images/image_0.png)
+![image_1](test_images/image_1.png)
+![image_2](test_images/image_2.png)
+![image_3](test_images/image_3.png)
+

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logs/dreambooth-lora/1674632924.153745/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 100
+class_data_dir: null
+class_prompt: null
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+instance_data_dir: /home/user/app/training_data/lora-dreambooth-sample-dog
+instance_prompt: sksdog
+learning_rate: 0.0001
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 500
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 100
+num_validation_images: 4
+output_dir: /home/user/app/experiments/lora-dreambooth-sample-dog
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: false
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 4
+scale_lr: false
+seed: 0
+tokenizer_name: null
+train_batch_size: 1
+use_8bit_adam: true
+validation_epochs: 100
+validation_prompt: a photo of a sksdog in a bucket
+with_prior_preservation: false

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train.sh

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+accelerate launch train_dreambooth_lora.py --pretrained_model_name_or_path=stabilityai/stable-diffusion-2-1-base --instance_data_dir=/home/user/app/training_data/lora-dreambooth-sample-dog --output_dir=/home/user/app/experiments/lora-dreambooth-sample-dog --instance_prompt="sksdog" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=500 --checkpointing_steps=100 --validation_prompt="a photo of a sksdog in a bucket" --validation_epochs=100 --seed=0 --mixed_precision fp16 --use_8bit_adam