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README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1-base
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instance_prompt: a kdekuni golden funkopop
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: true
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---
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# LoRA DreamBooth - kdekuni
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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 "a kdekuni golden funkopop" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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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=c:\Users\David\Desktop\GapInvestor\Clientes\Toni IA\LoRA-DreamBooth-Training-UI\training_data\kdekuni --output_dir=c:\Users\David\Desktop\GapInvestor\Clientes\Toni IA\LoRA-DreamBooth-Training-UI\experiments\kdekuni --instance_prompt="a kdekuni golden funkopop" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=100 --checkpointing_steps=100 --validation_prompt="a kdekuni golden funkopop" --validation_epochs=100 --seed=59976 --mixed_precision fp16 --use_8bit_adam
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