---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: uni laying in a cardboard box on the floor, with a blurred background
  output:
    url: images/image_00057_.png
- text: uni sitting atop a wooden box with the word "UNI" written on it, The cat is wearing a pink bow tie, and in the background there is a wall
  output:
    url: images/image_00062_.png
- text: uni sitting on top of a wooden floor, wearing a red scarf around its neck, The background is slightly blurred, giving the focus to the cat
  output:
    url: images/image_00065_.png
- text: uni wearing a festive Santa Claus outfit, complete with a red and white dress and a red cap. The background is slightly blurred, giving the focus to the cat and its outfit
  output:
    url: images/image_00066_.png
- text: uni sitting on a couch wearing a bright yellow scarf, The background is slightly blurred, giving the focus to the cat and its scarf
  output:
    url: images/image_00067_.png
- text: uni with its mouth open, yawning in a blue bag
  output:
    url: images/image_00068_.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Uni
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# Uni

<Gallery />

## Model description 

Uni is the star of this LoRa. Follow her adventures and cuteness on her human's Instagram: @unico_uniuni

## Trigger words

You should use `Uni` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

[Download](/Hack337/flux-lora-Uni/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.bfloat16).to('cuda')
pipeline.load_lora_weights('Hack337/flux-lora-Uni', weight_name='uni')
image = pipeline('uni laying in a cardboard box on the floor, with a blurred background').images[0]
image.save("my_image.png")
```

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)