---
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: animexl
widget:
- text: >-
    animexl a majestic celestial dragon flying through a star-filled sky, its
    scales shimmering with a mix of gold and silver, glowing runes etched along
    its body, surrounded by glowing nebula clouds and twinkling stars, a sense
    of vastness and divinity, hyper-detailed scales and cosmic background
  output:
    url: images/example_f5qbha2v5.png
- text: >-
    animexl an ethereal elf princess with glowing silver hair, wearing a flowing
    emerald gown adorned with golden patterns, sitting by a glowing blue lake in
    an enchanted forest, surrounded by bioluminescent flowers, glowing
    fireflies, and ancient stone ruins covered in moss, soft moonlight shining
    through the mist, ultra-detailed face and clothing texture
  output:
    url: images/example_377tmyn08.png
- text: >-
    animexl a lone wanderer in a torn black cloak, standing in a desolate
    wasteland with crumbling skyscrapers in the distance, carrying a glowing
    energy sword, the sky filled with ominous red clouds, lightning striking in
    the distance, detailed cracks in the dry ground, atmospheric perspective
    with dusty air and a sense of mystery"
  output:
    url: images/example_1fnaylit5.png

---

# Animexl

<Gallery />

Trained on Replicate using:

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


## Trigger words
You should use `animexl` 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('Nishit2411/AnimeXL', 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)