README.md

---
license: openrail++
library_name: diffusers
tags:
- text-to-image
- diffusers-training
- diffusers
- lora
- sd3
- sd3-diffusers
- template:sd-lora
base_model: stabilityai/stable-diffusion-3-medium-diffusers
instance_prompt: panda drinking matcha, yarn art style
widget:
- text: birth of venus, Yarn art style
  parameters:
    negative_prompt: illustration, 2d, painting, digital
  output:
    url: >-
      image (131).png
- text: a yarn art style version of Mona Lisa
  parameters:
    negative_prompt: illustration, 2d, painting, digital
  output:
    url: >-
      image (132).png
- text: a yarn art style yoda
  parameters:
    negative_prompt: realistic, illustration, 2d, bad quality, blurry, bad anatomy
  output:
    url: >-
      image (133).png
- text: starry night, Yarn art style
  parameters:
    negative_prompt: illustration, 2d, bad quality, blurry
  output:
    url: >-
      image (134).png
- text: the beatles, yarn art style
  parameters:
    negative_prompt: illustration, 2d, bad quality, blurry, bad anatomy
  output:
    url: >-
      image (135).png
- text: a yarn art style version of the scream by Munch
  parameters:
    negative_prompt: illustration, 2d, bad quality
  output:
    url: >-
      image (136).png
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
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# SD3 DreamBooth LoRA - linoyts/Yarn_art_SD3_LoRA

<Gallery />

## Model description

These are linoyts/Yarn_art_SD3_LoRA DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
This LoRA was trained on [Norod78/Yarn-art-style](https://huggingface.co/datasets/Norod78/Yarn-art-style) dataset and inspired by [Norod78/SDXL-YarnArtStyle-LoRA](https://huggingface.co/Norod78/SDXL-YarnArtStyle-LoRA)🧶

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? True.

## Trigger words

You should use yarn art style to trigger the image generation.

## 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('linoyts/Yarn_art_SD3_LoRA', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('darth vader, yarn art style').images[0]
```

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

- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/{repo_id}/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)


## Download model

[Download the *.safetensors LoRA]({repo_id}/tree/main) 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).