How to use from the
Use from the
Diffusers library
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]

SwiftVR: Real-Time One-Step Generative Video Restoration

Now in BF16

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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