diff --git a/README.md b/README.md
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+---
+license: creativeml-openrail-m
+base_model: WarriorMama777/AbyssOrangeMix2
+instance_prompt: unlight
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+# LoRA DreamBooth - unlight
+
+These are LoRA adaption weights for [WarriorMama777/AbyssOrangeMix2](https://huggingface.co/WarriorMama777/AbyssOrangeMix2). The weights were trained on the instance prompt "unlight" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
+
+Test prompt: 1boy, unlight
+![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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+adam_beta1: 0.9
+adam_beta2: 0.999
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+allow_tf32: false
+center_crop: false
+checkpointing_steps: 100
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+gradient_accumulation_steps: 1
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+lr_num_cycles: 1
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+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 47
+num_validation_images: 4
+output_dir: /home/user/app/experiments/unlight
+pretrained_model_name_or_path: WarriorMama777/AbyssOrangeMix2
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: false
+report_to: tensorboard
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+scale_lr: false
+seed: 0
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+validation_prompt: 1boy, unlight
+with_prior_preservation: false
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+accelerate launch train_dreambooth_lora.py --pretrained_model_name_or_path=WarriorMama777/AbyssOrangeMix2 --instance_data_dir=/home/user/app/training_data/unlight --output_dir=/home/user/app/experiments/unlight --instance_prompt="unlight" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=10000 --checkpointing_steps=100 --validation_prompt="1boy, unlight" --validation_epochs=100 --seed=0 --mixed_precision fp16 --use_8bit_adam
\ No newline at end of file