README.md

---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=False&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- chalk
- style
- blackboard
- chalkboard
- chalk art

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: 
widget:
- text: 'A childish ChalkBoardDrawing  of Rick Sanchez '
  output:
    url: >-
      5329308.jpeg
- text: 'A silly ChalkBoardDrawing  of The Mona Lisa '
  output:
    url: >-
      5329311.jpeg
- text: 'A colorful  ChalkBoardDrawing  of a rainbow Unicorn '
  output:
    url: >-
      5329313.jpeg
- text: 'A socially awkward potato ChalkBoardDrawing '
  output:
    url: >-
      5329309.jpeg
- text: 'A silly ChalkBoardDrawing  of Shrek and Olaf on a frozen field '
  output:
    url: >-
      5329310.jpeg
- text: 'The Starry Night ChalkBoardDrawing '
  output:
    url: >-
      5329315.jpeg
- text: 'American gothic ChalkBoardDrawing '
  output:
    url: >-
      5329316.jpeg
- text: 'BenderBot ChalkBoardDrawing   '
  output:
    url: >-
      5329314.jpeg

---

# SDXL ChalkBoardDrawing LoRA 

<Gallery />



([CivitAI](https://civitai.com/models/259365))

## Model description

<p>Was trying to aim for Chalk on Blackboard style</p><p>Use 'ChalkBoardDrawing' in your prompts</p><p>Dataset was generated with MidJourney v6 and <a rel="ugc" href="https://civitai.com/api/download/training-data/292477">can be downloaded from here</a></p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/Norod78/sdxl-chalkboarddrawing-lora/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('Norod78/sdxl-chalkboarddrawing-lora', weight_name='SDXL_ChalkBoardDrawing_LoRA_r8.safetensors')
image = pipeline('BenderBot ChalkBoardDrawing   ').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)