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
- Xet hash:
- 842027b56f48f41ab1aa02bc0c66dbc3f08d1cf8e7a7ccaaa7a838fd5a32a9b3
- Size of remote file:
- 1.36 GB
- SHA256:
- 1e4aa519f64dc6386f88221a66c106a09fa027b47a20cc0e126687695f2a6669
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