README.md

---
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
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: anm
widget:
- text: >-
    an anm young boy sitting under a large sakura tree, wearing traditional
    festival attire, cherry blossoms gently falling around him, peaceful smile,
    evening sky with vibrant hues.
  output:
    url: images/example_7y3r4uk1q.png
- text: >-
    an anm girl wearing a school uniform, standing beside her bicycle at a rural
    road, gazing up at the sky, full of hope, morning sunlight and dew-covered
    grass.
  output:
    url: images/example_1l93qqd0r.png
- text: >-
    an anm quiet residential street at dawn, soft orange sunlight peeking over
    the rooftops, dew-covered flowers along the roadside, a gentle peaceful
    mood.
  output:
    url: images/example_0vyad4135.png

---

# Anime Style Flux Lora Large

<Gallery />

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train


## Trigger words
You should use `anm` to trigger the image generation.


## 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('Nishitbaria/Anime-style-flux-lora-Large', weight_name='lora.safetensors')
image = pipeline('your prompt').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)