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", torch_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
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README.md
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| Metric | SeedVR2-3B (tile)| DOVE (tile)| FlashVSR-Tiny | **RVR (Ours)** |
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| Avg. Time (s) ↓ | 17.320 | 27.615 | 2.493 |
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| Peak Mem. (GB) ↓ | 35.35 | 59.24 | 34.35 | 38.01 |
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> At **3840×2160**, every compared diffusion-based VR baseline **OOMs** on a single H100; RVR sustains **14 FPS**.
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| Metric | SeedVR2-3B (tile)| DOVE (tile)| FlashVSR-Tiny | **RVR (Ours)** |
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| Avg. Time (s) ↓ | 17.320 | 27.615 | 2.493 | 0.766 |
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| FPS ↑ | 1.39 | 0.85 | 9.61 | 31.32 |
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| Peak Mem. (GB) ↓ | 35.35 | 59.24 | 34.35 | 38.01 |
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> At **3840×2160**, every compared diffusion-based VR baseline **OOMs** on a single H100; RVR sustains **14 FPS**.
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