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
#6
by Nishitbaria - opened
Generated example for model Nishitbaria/AnimeXL.
Prompt: AnimeXL, a peaceful Japanese countryside in daylight, a boy and girl sitting on a grassy hill surrounded by blooming cherry blossoms, vibrant green rice fields stretching into the distance, a traditional wooden shrine nestled among the trees, sunlight casting dappled shadows, serene and nostalgic atmosphere, Studio Ghibli-inspired vibrant natural settings, ultra-detailed, 4k resolution
Nishitbaria changed pull request status to merged