Instructions to use H-oliday/SwiftVR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use H-oliday/SwiftVR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("H-oliday/SwiftVR", 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
Update README.md
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README.md
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<div align="center">
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# RVR: One-step Generative Streaming Real-time Video Restoration
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> Full-length restored clips (low-quality input → RVR, played back to back).
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url: assets/demo_1.mp4
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<Gallery />
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## 📖 Citation
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---
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license: apache-2.0
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pipeline_tag: text-to-video
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widget:
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---
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<div align="center">
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# RVR: One-step Generative Streaming Real-time Video Restoration
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> Full-length restored clips (low-quality input → RVR, played back to back).
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<Gallery />
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## 📖 Citation
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