Скачать или смотреть How to Install WAN 2.2 in ComfyUI! (Free AI Video Generator Tutorial)

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🔗 Links Mentioned:
⚡️ n8n: https://n8n.partnerlinks.io/3jjpno892i74
🍿 ComfyUI: https://www.comfy.org/
🔥 HuggingFace (Wan 2.2): https://huggingface.co/Wan-AI/Wan2.2-...
💎 HuggingFace (Wan 2.2 ComfyUI Repackaged): https://huggingface.co/Comfy-Org/Wan_...

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Video Overview:
🎬 Want to generate high-quality AI videos locally with the brand new WAN 2.2 models?

In this tutorial, I’ll show you exactly how to install and run WAN 2.2 inside ComfyUI, step by step. We’ll cover setup, model selection, and best practices so you can start creating cinematic videos right from your own machine — no cloud costs, no watermarks, just full control.

You’ll learn how to pick the right model (whether you’re on a laptop or a high-end GPU), set up workflows in ComfyUI, and fine-tune prompts to get the best results from WAN 2.2’s Text-to-Video and Image-to-Video capabilities.

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🔍 What You’ll Learn:
• How to install and run WAN 2.2 locally with ComfyUI
• The difference between T2V-A14B, I2V-A14B, and Ti2V-5B models (speed, VRAM needs, use cases)
• How to set up ComfyUI workflows for both text-to-video and image-to-video generation
• Where to download and store WAN 2.2 models safely (Hugging Face, GitHub, etc.)
• How to control resolution, frame rate, and video length in ComfyUI
• Tips for prompting WAN 2.2 to improve cinematic quality and consistency
• How to upscale and export your final video for professional use

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📌 Chapters:
00:00 – Intro & What’s New in WAN 2.2
01:15 – How WAN 2.2 Achieves Better Quality (Mixture of Experts)
03:00 – The Three New Models Explained (Text-to-Video, Image-to-Video, Hybrid 5B)
05:10 – Hardware & GPU Requirements (VRAM, Storage Needs)
06:20 – Installing ComfyUI (Step-by-Step Setup)
08:40 – Setting Up WAN 2.2 Locally in ComfyUI
11:00 – Prompt Engineering Basics for Video Generation
13:30 – ComfyUI Settings Deep Dive (Steps, CFG, Denoising, Samplers)
15:40 – Running the 14B Parameter Models (Advanced Outputs)
17:30 – WAN 2.2 Example Outputs (Strengths & Weaknesses)
19:10 – Comparing WAN 2.2 vs Halo 2 vs Seedance Pro 2
21:00 – Local vs Cloud Platforms (Replicate, RunPod, Cost & Speed)
22:15 – Wrap-Up, Recommendations & Next Steps

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🔧 Tools Used:
• WAN 2.2 AI Video Models (T2V-A14B, I2V-A14B, Ti2V-5B) – Open-source AI video generation
• ComfyUI – Visual workflow interface for running WAN locally
• Hugging Face – Model download repository
• GitHub – Pre-built ComfyUI workflow configs
• Python + Dependencies – Local setup environment (works best with NVIDIA GPUs)
• Optional: n8n Prompt Helper – For structured and reusable prompt writing

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🔥 Why Watch?
• Learn how to run WAN 2.2 locally, for free
• Compare different WAN 2.2 models to see what fits your hardware
• Skip expensive cloud credits and generate unlimited AI video
• Perfect for content creators, indie filmmakers, and AI enthusiasts
• Includes step-by-step ComfyUI setup + free workflow template

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