metadata
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: null
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
(CivitAI)
Model description
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 them in the Files & versions tab.
Use it with the 🧨 diffusers library
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