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
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- README.md +10 -0
- images/example_m6rp2yvnk.png +0 -0
README.md
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mysterious, detailed winter forest, moody and atmospheric
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output:
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url: images/example_gmxdp5j8s.png
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---
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mysterious, detailed winter forest, moody and atmospheric
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output:
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url: images/example_gmxdp5j8s.png
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- text: >-
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animexl , a solitary tree with lush green leaves under a glowing full moon,
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serene lake perfectly mirroring the moon and the tree’s silhouette,
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sparkling reflections on the water surface, starry sky with soft glowing
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clouds, distant mountains creating depth in the background, tranquil and
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magical ambiance, inspired by the detailed landscapes of Makoto Shinkai,
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cinematic composition, soft lighting effects, ultra-high detail, peaceful
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and enchanting
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output:
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url: images/example_m6rp2yvnk.png
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---
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images/example_m6rp2yvnk.png
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