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
- art
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
- text: >-
    animexl a futuristic cyberpunk samurai standing under neon lights, wearing a
    black and red glowing armor, wielding a plasma katana, holographic cityscape
    in the background with flying cars and holograms, cinematic lighting, rain
    reflections on the ground
  output:
    url: images/example_kunqv4ecx.png
- text: >-
    animexl a serene night sky with scattered clouds glowing in soft shades of
    purple and pink, illuminated by the full moon casting a gentle white light,
    twinkling stars scattered across the deep indigo sky, silhouette of tree
    branches with delicate leaves framing the scene, a peaceful and tranquil
    atmosphere, cinematic composition, ultra-detailed textures, dreamy and
    calming aesthetic
  output:
    url: images/example_m1t9yt7lf.png
- text: >-
    AnimeXL, a peaceful Japanese countryside in daylight, a boy and girl sitting
    on a grassy hill surrounded by blooming cherry blossoms, vibrant green rice
    fields stretching into the distance, a traditional wooden shrine nestled
    among the trees, sunlight casting dappled shadows, serene and nostalgic
    atmosphere, Studio Ghibli-inspired vibrant natural settings, ultra-detailed,
    4k resolution
  output:
    url: images/example_qj23glz94.png
- text: >-
    AnimeXL, a sleek red sports car parked on a winding mountain road,
    surrounded by dense green forests, the golden rays of sunset casting long
    shadows and illuminating the car’s polished surface, reflections of trees
    and sky on the hood, distant mountains in soft focus, cinematic composition,
    inspired by Makoto Shinkai’s atmospheric lighting and Studio Ghibli’s
    detailed nature settings, ultra-detailed, 4k resolution
  output:
    url: images/example_eiza2swyg.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)