---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- concept
- character sheet
- character，
- protoart

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Evang
widget:
- text: ' '
  
  output:
    url: >-
      24006923.jpeg
- text: ' '
  
  output:
    url: >-
      24008779.jpeg
- text: ' '
  
  output:
    url: >-
      24006924.jpeg
- text: ' '
  
  output:
    url: >-
      24006925.jpeg
- text: ' '
  
  output:
    url: >-
      24006997.jpeg

---

# character Sheet XL 

<Gallery />





## Model description

<p>This model is designed to replicate character sheets, great for people into animation and designing characters from different perspectives</p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div>

## Trigger words
You should use `Evang`, `Evang_style`, `character sheet`, `Multiple views` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/brushpenbob/character-sheet-xl/tree/main) them 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-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/character-sheet-xl', weight_name='character_Sheet_XL.safetensors')
image = pipeline('`Evang`, `Evang_style`, `character sheet`, `Multiple views`').images[0]
```

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)