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---
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: >-
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- text: 'The Starry Night by Vincent van Gogh HuMeow '
output:
url: >-
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- text: 'The girl with a pearl earring HuMeow '
output:
url: >-
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- text: 'Wonderwoman HuMeow '
output:
url: >-
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- text: 'A socially awkward potato HuMeow '
output:
url: >-
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- text: 'A victorian HuMeow couple dancing together '
output:
url: >-
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- 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
<Gallery />
([CivitAI](https://civitai.com/models/252637))
## Model description
<p>As you all know, there are not enough cat images on the internet.</p><p>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.</p><p>This LoRA was trained with CivitAI LoRA trainer upon images generated with MidJourney v6.</p><p>The training dataset is <a rel="ugc" href="https://civitai.com/api/download/training-data/285058">available for download</a></p><p></p>
## 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)
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