Instructions to use Shashi598/Anime_splash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shashi598/Anime_splash with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shashi598/Anime_splash", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 76f5c66df5204f30e27d17db571133142fcc9f9869c0494b2a2a2eb30fffc2c7
- Size of remote file:
- 335 MB
- SHA256:
- e395b47c8c594701001553772f3d409fcf2eaacc75382e059e40c7d98128acb6
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