Instructions to use dummy9996/SwiftVR-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dummy9996/SwiftVR-bf16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dummy9996/SwiftVR-bf16", 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
SwiftVR: Real-Time One-Step Generative Video Restoration
Original model is at https://huggingface.co/H-oliday/SwiftVR
Install:
git clone https://github.com/H-oliday/SwiftVR
cd SwiftVR
uv pip install -e .
hf auth login --token {token}
hf download dummy9996/SwiftVR-bf16 --local-dir checkpoints/
Run:
from swiftvr import SwiftVRPipeline
pipe = SwiftVRPipeline.from_pretrained("checkpoints/").to("cuda", dtype="bfloat16")
pipe.restore_video("before.mp4", "after.mp4", upscale=2)
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