---
base_model: stabilityai/stable-diffusion-3-medium-diffusers
library_name: diffusers
license: other
instance_prompt: a photo of a young canola plant that is about 12 days old. It has
  a few developing leaves.
widget:
- text: A photo of a young canola plant with developing leaves. Half of the leaves
    are ruffled around the edges, and half are round. It is about 12 days old. It
    is growing in dark, nutrient-rich soil. It is contained within a smooth, bright
    blue cylindrical cup on a bright blue background
  output:
    url: image_0.png
- text: A photo of a young canola plant with developing leaves. Half of the leaves
    are ruffled around the edges, and half are round. It is about 12 days old. It
    is growing in dark, nutrient-rich soil. It is contained within a smooth, bright
    blue cylindrical cup on a bright blue background
  output:
    url: image_1.png
- text: A photo of a young canola plant with developing leaves. Half of the leaves
    are ruffled around the edges, and half are round. It is about 12 days old. It
    is growing in dark, nutrient-rich soil. It is contained within a smooth, bright
    blue cylindrical cup on a bright blue background
  output:
    url: image_2.png
- text: A photo of a young canola plant with developing leaves. Half of the leaves
    are ruffled around the edges, and half are round. It is about 12 days old. It
    is growing in dark, nutrient-rich soil. It is contained within a smooth, bright
    blue cylindrical cup on a bright blue background
  output:
    url: image_3.png
tags:
- text-to-image
- diffusers-training
- diffusers
- lora
- template:sd-lora
- sd3
- sd3-diffusers
---

<!-- 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 - rdeinla/test-can-1

<Gallery />

## Model description

These are rdeinla/test-can-1 DreamBooth LoRA weights for stabilityai/stable-diffusion-3-medium-diffusers.

The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).

Was LoRA for the text encoder enabled? False.

## Trigger words

You should use `a photo of a young canola plant that is about 12 days old. It has a few developing leaves.` to trigger the image generation.

## Download model

[Download the *.safetensors LoRA](rdeinla/test-can-1/tree/main) in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained(stabilityai/stable-diffusion-3-medium-diffusers, torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('rdeinla/test-can-1', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('A photo of a young canola plant with developing leaves. Half of the leaves are ruffled around the edges, and half are round. It is about 12 days old. It is growing in dark, nutrient-rich soil. It is contained within a smooth, bright blue cylindrical cup on a bright blue background').images[0]
```

### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke

- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/rdeinla/test-can-1/blob/main/diffusers_lora_weights.safetensors)**.
    - Rename it and place it on your `models/Lora` folder.
    - On AUTOMATIC1111, load the LoRA by adding `<lora:your_new_name:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)

## License

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


## 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]