---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- cats
- concept
- cat
- furry
- humanoid cat

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: HuMeow
widget:
- text: 'Rick Sanchez HuMeow'
  
  output:
    url: >-
      25794115.jpeg
- text: 'The HuMeow girl with a pearl earring'
  
  output:
    url: >-
      25795270.jpeg
- text: 'American gothic HuMeow'
  
  output:
    url: >-
      25794111.jpeg
- text: 'A socially awkward potato HuMeow'
  
  output:
    url: >-
      25794110.jpeg

---

# HuMeow [FLUX] 

<Gallery />



([CivitAI](https://civitai.com/models/678716/humeow-flux))

## Model description

<p>As you all know, there are not enough cat images on the internet.</p><p>This is HuMeow (Human + Meow): A FLUX LoRA which was designed to solve this problem by generating human(oid) cats as well as getting random cats to appear in scenes where the trigger word 'HuMeow' is used.</p><p></p><p>There are also <a rel="ugc" href="https://civitai.com/models/252637/humeow-lora">SDXL and SDv1.5 versions of this LoRA</a></p><p>The training dataset is <a target="_blank" rel="ugc" href="https://civitai.com/api/download/training-data/285058">available for download</a></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/humeow-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/humeow-flux', weight_name='HuMeow_FLUX.safetensors')
image = pipeline('`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)