Instructions to use Wan-AI/Wan2.1-T2V-1.3B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wan-AI/Wan2.1-T2V-1.3B-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers", 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
请问如何将pytorch训练的模型,导出成这种格式呢?
#14
by JohnHenry - opened
如题,请问这种格式是怎么组织的? 我用pytorch训练的pt模型权重【并非文生图,文生视频这种端到端模型,而是一种中间特征转换生成模型】,如何将它转化为这个模型格式呢?另外此处存储的权重,是量化前的还是量化后的?那些config.json 之类的配置文件,具体配置格式怎么要求的?