diff --git a/README.md b/README.md
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+---
+license: creativeml-openrail-m
+base_model: andite/anything-v4.0
+instance_prompt: margret stalizburg
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+# LoRA DreamBooth - margret-stalizburg-v1-lora
+
+These are LoRA adaption weights for [andite/anything-v4.0](https://huggingface.co/andite/anything-v4.0). The weights were trained on the instance prompt "margret stalizburg" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
+
+Test prompt: margret stalizburg
+![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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+allow_tf32: false
+center_crop: false
+checkpointing_steps: 100
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+instance_prompt: margret stalizburg
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+pretrained_model_name_or_path: andite/anything-v4.0
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+validation_prompt: margret stalizburg
+with_prior_preservation: false
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+accelerate launch train_dreambooth_lora.py --pretrained_model_name_or_path=andite/anything-v4.0 --instance_data_dir=/home/user/app/training_data/margret-stalizburg-v1-lora --output_dir=/home/user/app/experiments/margret-stalizburg-v1-lora --instance_prompt="margret stalizburg" --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="margret stalizburg" --validation_epochs=100 --seed=0 --mixed_precision fp16 --use_8bit_adam
\ No newline at end of file