Instructions to use lieding1994/nova-anime-8-dmd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lieding1994/nova-anime-8-dmd2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lieding1994/nova-anime-8-dmd2", 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:
- aca29a6cbf8d793bddd2b4441e710e2eeb758133a4777daafe830fb2ffaf66fa
- Size of remote file:
- 98.8 MB
- SHA256:
- 89ee53298de8100e70712de58de341da5bdfed53a04131fa7d61fee17179a4a5
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