Instructions to use Nishitbaria/AnimeXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nishitbaria/AnimeXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Nishitbaria/AnimeXL") prompt = "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" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#12
by Nishitbaria - opened
Generated example for model Nishitbaria/AnimeXL.
Prompt: animexl, Black Widow in her black tactical suit, crouching in a snow-covered forest under a pale winter sky. Snowflakes fall gently, and her breath is visible in the cold air. She holds a pair of batons, ready for combat, while her red hair stands out vibrantly against the frosty backdrop of trees laden with snow. Footprints trail behind her in the deep snow. Style: stealthy and mysterious, detailed winter forest, moody and atmospheric
Nishitbaria changed pull request status to merged