--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - migrated - chalk - style - blackboard - styles - chalk art base_model: black-forest-labs/FLUX.1-dev instance_prompt: ChalkBoardDrawing widget: - text: 'The Starry Night ChalkBoardDrawing' output: url: >- 25083496.jpeg - text: 'A colorful ChalkBoardDrawing of a rainbow Unicorn' output: url: >- 25083497.jpeg --- # Chalk Board Drawing [FLUX] ([CivitAI](https://civitai.com/models/662069/chalk-board-drawing-flux)) ## Model description

Was trying to aim for Chalk on Blackboard style

Use 'ChalkBoardDrawing' in your prompts

A LoRA weight of ~1.5 seems to be good

## Trigger words You should use `ChalkBoardDrawing` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/Norod78/chalk-board-drawing-flux/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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda') pipeline.load_lora_weights('Norod78/chalk-board-drawing-flux', weight_name='Chalk_Board_Drawing_FLUX.safetensors') image = pipeline('`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)