快速搞定AI视频：8大免费模型真香合集 | Fast & Free AI Video: 8 Must‑Try Models You Can Use Instantly

如果你还以为“AI 生成视频”只有大厂才能玩，那你真的落伍了。

今天我直接给你端上 8 个免费、易上手、效果离谱的 AI 视频模型，从 MoneyPrinterTurbo 到 Emo，全都能让你 无脑生成、丝滑出片、0 成本爽到飞起。

If you still think “AI video generation” is only for big studios, you’re missing out.

Here are 8 free, beginner‑friendly, ridiculously powerful AI video tools — from MoneyPrinterTurbo to Emo — all capable of producing smooth, cinematic clips with almost no effort.

🚀 这 8 个模型到底有多香？/Why these 8 tools are insanely good

MoneyPrinterTurbo：名字就告诉你，它快得离谱/fast enough to scare you

https://github.com/harry0703/MoneyPrinterTurbo

https://brew.sh/

https://code.visualstudio.com/

https://www.jetbrains.com/pycharm/download/?section=mac

ComfyUI：AI 视频界的“乐高积木”，随便拼随便跑/the LEGO of AI workflows

https://github.com/Comfy-Org/ComfyUI

domoai：小白友好，界面比你家猫还温柔/friendly UI, zero stress

https://www.domoai.app/home

hunyuan：大模型出手，画面稳得像老狗/stable, clean, reliable

https://hunyuanvideo-avatar.github.io/

https://github.com/Tencent-Hunyuan/HunyuanVideo-Avatar

Pyramid-Flow：流畅得像喝了冰美式/smooth like cold brew

https://github.com/jy0205/Pyramid-Flow

CogVideo：老牌实力派，稳定输出/veteran powerhouse

https://github.com/zai-org/CogVideo

Keling：国产之光，速度快到怀疑人生/fast, sharp, efficient

https://app.klingai.com/cn/

Emo：表情细腻到让你怀疑它是不是活的/expressions so real it feels alive

https://humanaigc.github.io/emote-portrait-alive-2/

https://github.com/HumanAIGC/EMO

https://tongyi.aliyun.com/

ComfyUI Wizardry: Efficient Workflow & ControlNet Mastery in 5 Minutes! - ComfyUI魔法：5分钟掌握高效工作流和ControlNet!

Unleash AI artistry with less fuss, more pizzazz! - 解放AI艺术，少折腾多惊艳!

Video tutorial - 视频教程

Master Efficient workflow in a Snap - 秒会高效工作流

Resource:

Efficient node github or Install it by using ComfyUI Manager

ControlNet workflow - ControlNet工作流

ControlNet is a powerful tool that enhances the capabilities of diffusion models like Stable Diffusion in ComfyUI. It allows you to guide the image generation process by providing extra information, such as edges, depth maps, human poses, and more. This additional conditioning enables you to steer the generated imagery more precisely according to both textual and visual inputs.

ControlNet works by introducing a clone of the model's encoding layers for training, using "zero convolutions." These specially designed convolutional layers start with zero weights and carefully integrate the new spatial conditions without disrupting the model's original proficiency.

Resource:
ComfyUI ControlNet Example

ControlNet Auxiliary

ControlNet-v1-1
ControlNet-v1-1_fp16_safetensors
sd_control_collection

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