Instructions to use Clybius/SDXL-Anime-VAE-decoder-B1-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-B1-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-B1-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:
- bffeb40e14a2f3503c4488863d326e7208441c28681b54aa1770486411aefb2c
- Size of remote file:
- 335 MB
- SHA256:
- bbf0406b05708afbe734c7347975e24990ec2c4e0f496ef97c22daace7eec7c1
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