--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=False&allowDifferentLicense=True tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - character - cats - cat - furry - humanoid cat base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: HuMeow widget: - text: 'American gothic HuMeow ' output: url: >- 5138071.jpeg - text: 'Rick Sanchez HuMeow ' output: url: >- 5138070.jpeg - text: 'The Starry Night by Vincent van Gogh HuMeow ' output: url: >- 5138069.jpeg - text: 'The girl with a pearl earring HuMeow ' output: url: >- 5138065.jpeg - text: 'Wonderwoman HuMeow ' output: url: >- 5138067.jpeg - text: 'A socially awkward potato HuMeow ' output: url: >- 5138066.jpeg - text: 'A victorian HuMeow couple dancing together ' output: url: >- 5138082.jpeg - text: 'An astronaut HuMeow is riding a horse on mars ' output: url: >- 5138080.jpeg - text: 'An astronaut HuMeow is inside a spaceship ' output: url: >- 5138081.jpeg - text: 'The Mona Lisa HuMeow ' output: url: >- 5138072.jpeg --- # SDXL-HuMeow-LoRA ([CivitAI](https://civitai.com/models/252637)) ## Model description

As you all know, there are not enough cat images on the internet.

This HuMeow (Human + Meow) is an SDXL LoRA which was designed to help solve this problem by generating human(oid) cats as well as causing random cats to appear in scenes when the trigger word 'HuMeow' is used.

This LoRA was trained with CivitAI LoRA trainer upon images generated with MidJourney v6.

The training dataset is available for download

## Trigger words You should use `HuMeow` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/Norod78/sdxl-humeow-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-humeow-lora', weight_name='SDXL-HuMeow-LoRA-r8-000003.safetensors') image = pipeline('The Mona Lisa HuMeow ').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)