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
-
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
metadata
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
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