Instructions to use cortex-ai-nova/Airy-Video-2.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cortex-ai-nova/Airy-Video-2.7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cortex-ai-nova/Airy-Video-2.7") prompt = "airy dog" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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Download README.md from cortex-ai-nova/Airy-Video-2.7: direct link, hf CLI and curl.
- Browser
- Download file 580 Bytes
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https://huggingface.co/cortex-ai-nova/Airy-Video-2.7/resolve/main/README.md
- Command line
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hf download hf://cortex-ai-nova/Airy-Video-2.7/README.md
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curl -L -o README.md https://huggingface.co/cortex-ai-nova/Airy-Video-2.7/resolve/main/README.md
580 Bytes
| license: creativeml-openrail-m | |
| tags: | |
| - text-to-video | |
| - wan-2.1 | |
| - lora | |
| - diffusers | |
| - video | |
| base_model: Wan-AI/Wan2.1-T2V-1.3B | |
| instance_prompt: airy dog | |
| ![Uploading image.png…]() | |
| # Airy-Video-2.7 | |
| Это обученная ИИ-модель (LoRA адаптер) на основе базовой модели **Wan2.1-T2V-1.3B**. | |
| ## Характеристики обучения | |
| - **Базовая модель:** Wan-AI/Wan2.1-T2V-1.3B | |
| - **Тип адаптера:** LoRA | |
| - **Триггерное слово (промпт):** airy dog | |
| - **Разрешение:** 512px | |