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README.md

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+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-2-1-base
+instance_prompt: a kdekuni golden funkopop
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+# LoRA DreamBooth - kdekuni
+
+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.
+
+

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