Instructions to use Runware/Video-Upscale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/Video-Upscale with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/Video-Upscale", 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
Rename vae/vae_video_config.json to vae/config.json (#4)
Browse files- Rename vae/vae_video_config.json to vae/config.json (4fc4aec76beeeef26362c70b8dffca7952a02d42)
Co-authored-by: Munaza Ashraf <Munaza10@users.noreply.huggingface.co>
vae/{vae_video_config.json → config.json}
RENAMED
|
File without changes
|