---
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
Was trying to aim for Chalk on Blackboard style
Use 'ChalkBoardDrawing' in your prompts
Dataset was generated with MidJourney v6 and can be downloaded from here
## 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)