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mona112
/
dreambooth-sd3-lora

Text-to-Image
Diffusers
diffusers-training
lora
sd3
sd3-diffusers
template:sd-lora
Model card Files Community
dreambooth-sd3-lora
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---
base_model: stabilityai/stable-diffusion-3-medium-diffusers
library_name: diffusers
license: openrail++
tags:
- text-to-image
- diffusers-training
- diffusers
- lora
- sd3
- sd3-diffusers
- template:sd-lora
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
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->


# SD3 DreamBooth LoRA - mona112/dreambooth-sd3-lora

<Gallery />

## Model description

These are mona112/dreambooth-sd3-lora DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.

The weights were trained  using [DreamBooth](https://dreambooth.github.io/).

LoRA for the text encoder was enabled: False.

## Trigger words

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

## Download model

[Download](mona112/dreambooth-sd3-lora/tree/main) them in the Files & versions tab.

## License

Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE).


## Intended uses & limitations

#### How to use

```python
# 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]