diff --git a/README.md b/README.md
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+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-2-1-base
+instance_prompt: annoyingball
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+# LoRA DreamBooth - annoyingball
+
+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 "annoyingball" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
+
+Test prompt: an annoyingball is sitting on a table
+![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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+num_class_images: 100
+num_train_epochs: 143
+num_validation_images: 4
+output_dir: /home/user/app/experiments/annoyingball
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: false
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+seed: 42
+tokenizer_name: null
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+use_8bit_adam: false
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+validation_prompt: an annoyingball is sitting on a table
+with_prior_preservation: false
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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/annoyingball --output_dir=/home/user/app/experiments/annoyingball --instance_prompt="annoyingball" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=4 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=1000 --checkpointing_steps=100 --validation_prompt="an annoyingball is sitting on a table" --validation_epochs=100 --seed=42 --mixed_precision fp16
\ No newline at end of file