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Wan2.1

Wan2.1

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Open-source large-scale video generative model family developed by Alibaba with 1080p text-to-video and image-to-video.

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open-sourcevideo-modelalibabaapache-2.0comfyui-nodetext-to-videodiffusion-transformer

Wan2.1 is an open-source, large-scale video generative foundation model suite developed by Alibaba Group's Wan-Video team. Released under the permissive Apache-2.0 license, Wan2.1 offers 1.3B and 14B parameter models that rival closed commercial systems in motion fidelity, spatial coherence, and physical realism.

### Core Architecture & Capabilities - **Dual Model Scales (1.3B & 14B)**: The 1.3B model enables high-speed consumer GPU inference, while the 14B model delivers studio-grade photorealistic motion and temporal coherence. - **Text-to-Video & Image-to-Video**: Supports native 480p, 720p, and 1080p generation across diverse aspect ratios. - **3D Variational Autoencoder (VAE)**: Novel spatio-temporal compression enables efficient video generation with minimal memory overhead. - **ComfyUI & Diffusers Ecosystem**: Rapidly integrated into community nodes, local inference wrappers, and quantized GPU pipelines. - **Truly Open Source**: Licensed under Apache-2.0, permitting commercial use, fine-tuning, and redistribution without proprietary restrictions.

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In-Depth Analysis & Guides for Wan2.1

Editorial deep-dives, architectural breakdowns, and tutorials featuring Wan2.1.

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CodingOct 3, 2026

Open-Source AI Video Architectures: Inside Wan2.1, LTX-Video, and HunyuanVideo

How open-weights video diffusion transformers (DiTs) are dismantling proprietary walled gardens, enabling local inference on consumer hardware.

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