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---
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.
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