README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
-   text: a cartoon cat standing in front of a house, surrounded by grass, a road,
        a fence, trees, and a sky with clouds. Balalar
    output:
        url: samples/1730233836785__000001000_0.jpg
-   text: a cartoon raccoon playing a flute against a green and yellow background.
        The raccoon has a mischievous expression on its face as it plays the flute.
        Balalar
    output:
        url: samples/1730233853026__000001000_1.jpg
-   text: an owl standing on the side of a road, surrounded by trees, plants, grass,
        and houses in the background. The sky is filled with clouds, creating a peaceful
        atmosphere. Balalar
    output:
        url: samples/1730233869271__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Balalar
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
---

# balalar
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

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

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/life/balalar/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('life/balalar', weight_name='balalar.safetensors')
image = pipeline('a cartoon cat standing in front of a house, surrounded by grass, a road, a fence, trees, and a sky with clouds. Balalar').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)