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
  - anime
  - text-to-image
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: animexl
widget:
  - example_title: Futuristic Samurai
    inputs:
      prompt: animexl a cyberpunk samurai standing on a neon-lit rooftop, wearing black armor with glowing blue patterns, holding a katana with an electric blade, a bustling futuristic city in the background with flying cars and holographic billboards, cinematic lighting
    outputs:
      - image: https://example.com/samurai.png
  - example_title: Magical Forest Scene
    inputs:
      prompt: 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
    outputs:
      - image: https://example.com/forest.png
---

# AnimeXL - Fine-Tuned LoRA for Anime Image Generation

AnimeXL is a LoRA fine-tuned using 200+ anime-style images over 2500 training steps. It specializes in creating vibrant, highly detailed anime-style visuals. The model leverages the **FLUX.1-dev** base model and is compatible with the 🧨 `diffusers` library for seamless integration.

---

## Features
- **Trigger Word:** Use `animexl` in prompts to activate the model.
- **High Compatibility:** Fully integrated with `diffusers` and works with FLUX.1-dev.
- **Specialized Output:** Designed to generate anime-style artwork, perfect for creative projects.

## How to Use

### Using 🧨 Diffusers
```python
from diffusers import AutoPipelineForText2Image
import torch

# Load the base pipeline
pipeline = AutoPipelineForText2Image.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    torch_dtype=torch.float16
).to("cuda")

# Load the LoRA weights
pipeline.load_lora_weights("Nishit2411/AnimeXL", weight_name="lora.safetensors")

# Generate an image
prompt = "animexl a futuristic city with anime characters"
image = pipeline(prompt).images[0]

# Save or display the image
image.save("output.png")

Trigger Words
Use animexl in prompts to achieve optimal results. Example prompts:

animexl a magical girl in a serene forest
animexl a samurai standing under a cherry blossom tree at sunset
About Training
AnimeXL was trained on Replicate's LoRA Trainer using the following configuration:

Base Model: FLUX.1-dev
Training Steps: 2500
Images: 200+ anime-style images
Resolution: 512x512, 768x768, and 1024x1024
Batch Size: 1
Optimizer: AdamW8bit with a learning rate of 0.0004
Scheduler: Flowmatch
Sampling: Flowmatch with 28 steps, guidance scale of 3.5
For more details, refer to Replicate's LoRA Trainer Documentation.