metadata

base_model: Efficient-Large-Model/Sana_1600M_1024px_diffusers
library_name: diffusers
license: other
instance_prompt: a photo of sks dog
widget:
  - text: A photo of sks dog in a bucket
    output:
      url: image_0.png
  - text: A photo of sks dog in a bucket
    output:
      url: image_1.png
  - text: A photo of sks dog in a bucket
    output:
      url: image_2.png
  - text: A photo of sks dog in a bucket
    output:
      url: image_3.png
tags:
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - sana
  - sana-diffusers
  - template:sd-lora
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - sana
  - sana-diffusers
  - template:sd-lora

Sana DreamBooth LoRA - ariG23498/trained-sana-lora

Model description

These are ariG23498/trained-sana-lora DreamBooth LoRA weights for Efficient-Large-Model/Sana_1600M_1024px_diffusers.

The weights were trained using DreamBooth with the Sana diffusers trainer.

Trigger words

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

Download model

Download the *.safetensors LoRA in the Files & versions tab.

Use it with the 🧨 diffusers library

TODO

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

License

TODO

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]