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/pytorch_model.bin to vae/diffusion_pytorch_model.bin (#11)
Browse files- Rename vae/pytorch_model.bin to vae/diffusion_pytorch_model.bin (ef147d9a363cdc8391a680ac73ffb9c0d15724a7)
Co-authored-by: Munaza Ashraf <Munaza10@users.noreply.huggingface.co>
vae/{pytorch_model.bin → diffusion_pytorch_model.bin}
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