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