alibaba-pai/Wan2.1-Fun-1.3B-InP

text-to-video model by alibaba-pai

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😊 Welcome! [](https://huggingface.co/spaces/alibaba-pai/Wan2.1-Fun-1.3B-InP) [](https://github.com/aigc-apps/VideoX-Fun) English | 简体中文 V1.0: DSW 有免费 GPU 时间，用户可申请一次，申请后3个月内有效。阿里云在Freetier提供免费GPU时间，获取并在阿里云PAI-DSW中使用，5分钟内即可启动CogVideoX-Fun。 [](https://gallery.pai-ml.com/#/preview/deepLearning/cv/cogvideoxfun) 我们的ComfyUI界面如下，具体查看ComfyUI README。使用docker的情况下，请保证机器中已经正确安装显卡驱动与CUDA环境，然后以此执行以下命令：我们已验证该库可在以下环境中执行： Windows 的详细信息： Linux…

alibaba-pai/Wan2.1-Fun-1.3B-InP on Hugging Face A short preview, not the full document.

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Model overview

alibaba-pai/Wan2.1-Fun-1.3B-InP is a text-to-video model repository published by alibaba-pai on Hugging Face. The source reports the videox_fun library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: text-to-video
Library: videox_fun
Recent downloads (30 days): 3,835
Cumulative likes: 43
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2025-03-17T02:16:47.000Z
Last modified: 2025-12-11T02:24:12.000Z

Compatibility and lineage

Reported languages: en, zh

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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