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
#13
by Nishitbaria - opened
Generated example for model Nishitbaria/AnimeXL.
Prompt: animexl , a solitary tree with lush green leaves under a glowing full moon, serene lake perfectly mirroring the moon and the tree’s silhouette, sparkling reflections on the water surface, starry sky with soft glowing clouds, distant mountains creating depth in the background, tranquil and magical ambiance, inspired by the detailed landscapes of Makoto Shinkai, cinematic composition, soft lighting effects, ultra-high detail, peaceful and enchanting
Nishitbaria changed pull request status to merged