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
#8
by Nishitbaria - opened
Generated example for model Nishitbaria/AnimeXL.
Prompt: AnimeXL, The image shows a young girl sitting on a tree stump in a park at night. She is wearing a green jacket, white shorts, and pink sneakers. She has a pair of headphones on her head and is looking off to the side with a serious expression on her face. The background shows a cityscape with tall buildings and skyscrapers lit up with colorful lights. The sky is dark and the overall mood of the image is peaceful and serene.
Nishitbaria changed pull request status to merged