corgy_dog_LoRA / README.md
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metadata
license: openrail++
library_name: diffusers
tags:
  - text-to-image
  - text-to-image
  - diffusers-training
  - diffusers
  - dora
  - template:sd-lora
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - text-to-image
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - template:sd-lora
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - text-to-image
  - text-to-image
  - diffusers-training
  - diffusers
  - dora
  - template:sd-lora
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - text-to-image
  - text-to-image
  - diffusers-training
  - diffusers
  - dora
  - template:sd-lora
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - text-to-image
  - text-to-image
  - diffusers-training
  - diffusers
  - dora
  - template:sd-lora
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a photo of TOK dog
widget: []

SDXL LoRA DreamBooth - PGKChaitanya/corgy_dog_LoRA

Model description

These are PGKChaitanya/corgy_dog_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

The weights were trained using DreamBooth.

LoRA for the text encoder was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

Trigger words

You should use a photo of TOK dog to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]