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", torch_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
#5
by Nishitbaria - opened
Generated example for model Nishitbaria/AnimeXL.
Prompt: 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
Nishitbaria changed pull request status to merged