Instructions to use Clybius/SDXL-Anime-VAE-decoder-B3-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Clybius/SDXL-Anime-VAE-decoder-B3-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Clybius/SDXL-Anime-VAE-decoder-B3-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b8e6274c5148f986adc8a99eb9c536eabb8adc373f1bab106f530bcb61596e9
- Size of remote file:
- 335 MB
- SHA256:
- 64927946652eabb3c5af8e51bd085441f6ab74b2bf791b9537bf74aa2a3b79ac
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