--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - migrated - character - hanfu - long hair - asian male base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: ylxn widget: - text: 'ylxn, solo, hanfu, hat, 1boy, front view, face focus, arms crossed, portrait, long hair, brown hair, large pectorals, ' parameters: negative_prompt: deformed, distorted, disfigured, low quality, blurry output: url: >- 51219951.jpeg - text: 'ylxn, solo, hanfu, hat, 1boy, sitting, long hair, brown hair, inside a living room, large pectorals, ' parameters: negative_prompt: deformed, distorted, disfigured, low quality, blurry output: url: >- 51218769.jpeg - text: 'ylxn, solo, hanfu, hat, 1boy, full body, long hair, brown hair, standing in a living room, large pectorals, ' parameters: negative_prompt: deformed, distorted, disfigured, low quality, blurry output: url: >- 51218768.jpeg - text: 'ylxn, solo, hanfu, hat, 1boy, sitting, long hair, brown hair, inside a living room, large pectorals, ' parameters: negative_prompt: deformed, distorted, disfigured, low quality, blurry output: url: >- 51218771.jpeg - text: 'ylxn, solo, hanfu, hat, 1boy, full body, long hair, brown hair, standing in a living room, large pectorals, ' parameters: negative_prompt: deformed, distorted, disfigured, low quality, blurry output: url: >- 51218770.jpeg --- # Yu Lexuan (Blue hanfu version) SDXL ## Model description

This is the SDXL version of my previous SD 1.5 model, with an improved dataset and better tagging. The old version has been removed.

## Trigger words You should use `ylxn`, `hanfu`, `hat` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/YuLexuan30/yu-lexuan-blue-hanfu-version-sdxl/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 device = "cuda" if torch.cuda.is_available() else "cpu" pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to(device) pipeline.load_lora_weights('YuLexuan30/yu-lexuan-blue-hanfu-version-sdxl', weight_name='YulexuansdxlV6civit.safetensors') image = pipeline('ylxn, solo, hanfu, hat, 1boy, full body, long hair, brown hair, standing in a living room, large pectorals, ').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)