---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: A person in a bustling cafe monogatari style
  output:
    url: samples/1727740519836__000001700_0.jpg
- text: A girl with purple hair loooking at bluish green sky
  output:
    url: samples/1727740624634__000001700_1.jpg
- text: A girl with a cap and headphones, smiling at the camera
  output:
    url: samples/1727740729501__000001700_2.jpg
- text: a girl with purple hair, portrait, background elements, monogatari style
  output:
    url: images/example_tnizfwreg.png
- text: >-
    girl with yellow hair looking at the moon, railway crossing in the
    background, with traffic lights, highly detailed backgroundmonogatari style
  output:
    url: images/example_5mbrwcv0a.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: monogatari 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

---

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

## Trigger words

You should use `monogatari 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](/jayavibhav/monogatari-style/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('jayavibhav/monogatari-style', weight_name='monogatari-style')
image = pipeline('A person in a bustling cafe monogatari 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)