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
#7
by Nishitbaria - opened
Generated example for model Nishitbaria/AnimeXL.
Prompt: 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
Nishitbaria changed pull request status to merged