--- 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 - style - paintingstyle - paintings - artist - artstyle - painting - brushstroke - laclair base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: lclr artstyle widget: - text: ' ' output: url: >- 2178025.jpeg - text: ' ' output: url: >- 2177023.jpeg - text: ' ' output: url: >- 2177237.jpeg - text: ' ' output: url: >- 2176979.jpeg - text: ' ' output: url: >- 2176998.jpeg - text: ' ' output: url: >- 2177223.jpeg - text: ' ' output: url: >- 2176853.jpeg - text: ' ' output: url: >- 2176922.jpeg - text: ' ' output: url: >- 2177036.jpeg --- # Painterly LaClair artstyle LoRA 218MB & 1.8GB Versions ## Model description

Lightweight 218MB LoRA!

Results can at times not look "ai generated" making this a powerful tool.

Please use responsibly and credit artist Elijah LaClair for his generous usage of his work when possible.

Updated versions of my 0.9XL LoRA.

Trained on the paintings of American Artist Elijah LaClair with his permission.

For the 100 epochs version I followed AI_Characters's guide on LoRA settings but with my own artstyle regulation images as well.

โ˜• Like what I do? โ˜•
โ˜• Buy me a coffee or two! โ˜•

## Trigger words You should use `lclr artstyle`, `painting` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/DoctorDiffusion/painterly-laclair-artstyle-lora-218mb-1-8gb-versions/tree/main) them in the Files & versions tab. ## Use it with the [๐Ÿงจ 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('DoctorDiffusion/painterly-laclair-artstyle-lora-218mb-1-8gb-versions', weight_name='DD-lclr-artstyle-XL-v1.safetensors') image = pipeline('`lclr artstyle`, `painting`').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)