metadata

base_model: Alpha-VLLM/Lumina-Image-2.0
library_name: diffusers
license: apache-2.0
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
  - lumina2
  - lumina2-diffusers
  - template:sd-lora
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - lumina2
  - lumina2-diffusers
  - template:sd-lora

Lumina2 DreamBooth LoRA - Roooy/trained-lumina2-lora

Model description

These are Roooy/trained-lumina2-lora DreamBooth LoRA weights for Alpha-VLLM/Lumina-Image-2.0.

The weights were trained using DreamBooth with the Lumina2 diffusers trainer.

Trigger words

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

The following system_prompt was also used used during training (ignore if None): None.

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

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]