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:
- e352f3ec109293439ecc5543ef388385581af6c05857fb264548df44b9ccb01b
- Size of remote file:
- 8.95 MB
- SHA256:
- ea40a680d751f49849b69ed231a4f55839435dc6ed1a36813908d7bf3e06d8f3
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