Instructions to use wav/TemporalNet2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wav/TemporalNet2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wav/TemporalNet2", 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
How to combine with HED?
#3 opened almost 3 years ago
by
redromnon
Does it require downloading the Temporalnet2 model from CiaraRowles?
7
#2 opened almost 3 years ago
by
Sravanth
PyAV output error
2
#1 opened almost 3 years ago
by
paul-stamets