Instructions to use FastVideo/FastWan-QAD-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastWan-QAD-1.3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/FastWan-QAD-1.3B", 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
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -41,8 +41,8 @@ The model is built on [Wan-AI/Wan2.1-T2V-1.3B-Diffusers](https://huggingface.co/
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| Model | Hardware | Generation Time (5s 480p) |
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| FastWan-QAD-1.3B | RTX 5090 | **1.78s** |
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| FastWan-QAD-1.3B-SA2 | RTX 5090 | ~2.0s |
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| FastWan-QAD-FP8-1.3B | RTX 4090 | ~3.4s |
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| TurboDiffusion | RTX 5090 | 6.10s |
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| LightX2V | RTX 5090 | 6.91s |
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| Model | Hardware | Generation Time (5s 480p) |
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| FastWan-QAD-1.3B | RTX 5090 | **1.78s** |
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| [FastWan-QAD-1.3B-SA2](https://huggingface.co/FastVideo/FastWan-QAD-1.3B-SA2) | RTX 5090 | ~2.0s |
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| [FastWan-QAD-FP8-1.3B](https://huggingface.co/FastVideo/FastWan-QAD-FP8-1.3B) | RTX 4090 | ~3.4s |
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| TurboDiffusion | RTX 5090 | 6.10s |
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| LightX2V | RTX 5090 | 6.91s |
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