---
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
- template:sd-lora
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: in the style of TOK
license: openrail++
widget:
- text: A bold line portrait of a man
  output:
    url: 000.png
- text: A vase of camellias
  output:
    url: 001.png
- text: in the style of TOK
  output:
    url: 002.png
- text: Manga style, Chinese background
  output:
    url: 003.png
---

# SDXL LoRA DreamBooth - boldlinemanga

<Gallery />

## Model description

### These are boldlinemanga LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

## Download model

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

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


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

```py
from diffusers import DiffusionPipeline

pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0").to("cuda")
pipeline.load_lora_weights("Chan-Y/BoldLine-Manga")
image = pipeline('in the style of TOK').images[0]
image
```

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)

## Trigger words

You should use in the style of TOK to trigger the image generation.

## Details
All [Files & versions](/boldlinemanga/tree/main).

The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).

LoRA for the text encoder was enabled. True.

Pivotal tuning was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.