diff --git a/README.md b/README.md
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+---
+license: creativeml-openrail-m
+base_model: CompVis/stable-diffusion-v1-4
+instance_prompt: simlora
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+# LoRA DreamBooth - simlora
+
+These are LoRA adaption weights for [CompVis/stable-diffusion-v1-4](https://huggingface.co/CompVis/stable-diffusion-v1-4). The weights were trained on the instance prompt "simlora" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
+
+
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diff --git a/logs/dreambooth-lora/1679167969.645493/events.out.tfevents.1679167969.s-eristotelian-lora-dreambooth-training-ui-fe61a-7c4f4576fttsmw.263.1 b/logs/dreambooth-lora/1679167969.645493/events.out.tfevents.1679167969.s-eristotelian-lora-dreambooth-training-ui-fe61a-7c4f4576fttsmw.263.1
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+allow_tf32: false
+center_crop: false
+checkpointing_steps: 100
+class_data_dir: null
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+gradient_accumulation_steps: 1
+gradient_checkpointing: false
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+instance_data_dir: /home/user/app/training_data/simlora
+instance_prompt: simlora
+learning_rate: 0.0001
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+lr_num_cycles: 1
+lr_power: 1.0
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+max_train_steps: 1000
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+num_class_images: 100
+num_train_epochs: 112
+num_validation_images: 4
+output_dir: /home/user/app/experiments/simlora
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
+prior_generation_precision: null
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+validation_prompt: simlora
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+accelerate launch train_dreambooth_lora.py --pretrained_model_name_or_path=CompVis/stable-diffusion-v1-4 --instance_data_dir=/home/user/app/training_data/simlora --output_dir=/home/user/app/experiments/simlora --instance_prompt="simlora" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=1000 --checkpointing_steps=100 --validation_prompt="simlora" --validation_epochs=100 --seed=0 --mixed_precision fp16 --use_8bit_adam
\ No newline at end of file