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
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README.md
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## 📜 License
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Released under the [Apache 2.0 License](LICENSE). The Wan2.2 backbone and any third-party weights remain subject to their original licenses.
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<sub>If RVR is useful to your research or product, please consider giving it a ⭐.</sub>
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## 📜 License
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Released under the [Apache 2.0 License](LICENSE). The Wan2.2 backbone and any third-party weights remain subject to their original licenses.
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