---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
-   text: cowboy wearing a denim jacket, atelierai_style
    output:
        url: samples/1736257818773__000014000_0.jpg
-   text: A young woman with long red hair, oil painting, atelierai_style
    output:
        url: samples/1736257826131__000014000_1.jpg
-   text: A car driving the road, cyberpunk, digital painting, atelierai_style
    output:
        url: samples/1736257833440__000014000_2.jpg
-   text: Landscape of a mountain, stock photo, IMG_1025. HEIC, atelierai_style
    output:
        url: samples/1736257840767__000014000_3.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: atelierai_style
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
---

# style-5b80a892-7ed0-433e-9b6f-85f68cb2831a
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

You should use `atelierai_style` 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](/atelierai-me/5b80a892-7ed0-433e-9b6f-85f68cb2831a/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('atelierai-me/5b80a892-7ed0-433e-9b6f-85f68cb2831a', weight_name='style-5b80a892-7ed0-433e-9b6f-85f68cb2831a.safetensors')
image = pipeline('cowboy wearing a denim jacket, atelierai_style').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)