Wan2GP Free Guide: How to Install & Use the Local Wan AI Video Tool

Introduction

A friend messaged me last week asking whether Wan2GP was actually free. He'd seen people on Reddit generating Wan videos on their own computers, but every search result he clicked was either a tutorial site with pop-ups or a service asking for money to "install Wan2GP for you." He'd almost paid $20 before asking me.

Wan2GP is one of the most popular ways to run Wan video models locally — the main repository has over 8,700 stars on GitHub and is updated almost daily. But the information around it is messy: the project renamed itself, several third-party sites use the name, and the "free" claim comes with hardware caveats that most tutorials skip.

This guide covers what Wan2GP actually is, whether it's really free, how to install it on Windows, Mac, AMD, or with no GPU at all, what hardware you need, and when you're better off skipping local setup entirely and using an online free Wan generator.

TL;DR

• Wan2GP (now branded WanGP) is an open-source local AI video generation platform built around Wan 2.1/2.2, with support for LTX-2, Hunyuan Video, MiniMax H3, Qwen Image, and more
• It's genuinely free to use locally — the project explicitly states it will never charge a license fee, subscription, or donation for running it on your own computer
• The real costs are hardware and time — you need a capable GPU (6GB VRAM for select models, more for bigger ones) and patience for setup and model downloads
• No GPU? There's a free path — a community Google Colab notebook runs Wan2GP on the free tier, though you're limited to the Wan 2.2 5B FastWan model at 480p
• If you just want finished videos fast, a free online Wan video generator needs zero setup and runs the newer Wan 2.7 — that's the better default for most people

What Is Wan2GP?

Wan2GP is an open-source "super app" for running generative AI models locally, created by a developer who goes by DeepBeepMeep. The tagline in the repo says it all: "The best open source generative models accessible to the GPU poor."

The project started as a fast, friendly way to run Wan video models (hence the name: Wan + GP for "GPU poor"), and grew into a full platform:

Category	Supported models
Video	Wan 2.1/2.2 and derived models, MiniMax H3, LTX-2, Hunyuan Video 1/1.5, LongCat, Kandinsky, LTXV
Image	Qwen Image, Z-Image, Flux 1/2, HiDream
Audio / TTS	Qwen3 TTS, Ace Step, Omnivoice, Index TTS2, KugelAudio, and more

You interact with it through a web interface (Gradio) that runs in your browser, pointed at your local machine. From there you can generate text-to-video and image-to-video clips, apply LoRAs, queue multiple jobs, browse past generations, and even run it headless or through an API.

Important naming note: the project recently rebranded to WanGP. Both names point to the same software, which is why you'll see "Wan2GP" and "WanGP" used interchangeably across Reddit, GitHub, and YouTube. The official channels are the GitHub repository (deepbeepmeep/Wan2GP) and the sites wangp.ai / wan2gp.ai. The project explicitly warns it is not affiliated with third-party services using the WanGP/Wan2GP names — many of those are paid "setup services" or lookalike sites.

Is Wan2GP Really Free?

Yes — with one important clarification.

The software is free. The official README states the project will never ask you to pay a license fee, subscription, or donation to run Wan2GP on your own computer. The code is open source, the interface is free, and all the built-in tools (LoRA manager, prompt enhancer, upscalers, audio tools) are included.

What "free" doesn't cover:

1. Hardware — you need a GPU with enough VRAM. Select models run on as little as 6GB, but bigger Wan checkpoints want 12-24GB. If you don't own one, that's the real cost.
2. Model downloads — checkpoints are large. The Wan 2.2 5B model alone is several gigabytes, and a full setup with multiple models can eat 50GB+ of disk. (Architecture-aware downloads help: Wan2GP fetches only the files suited to your hardware.)
3. Setup time — installing dependencies, downloading models, and tuning settings takes an evening for a first-timer. It's a one-time cost, but it's a cost.
4. Electricity and patience — local generation is slower than hosted services unless you have a strong GPU.

The one place you'll actually spend money: cloud GPU time. If you run Wan2GP on a rented GPU instance or a paid Colab tier, you pay the cloud provider. The software itself is still free.

And the scam alert: because "free local AI video" is a hot search, there are sites that charge for "Wan2GP installation" or sell "Wan2GP accounts." None of that is necessary. Everything you need is on the official GitHub, free.

If you want output today, start here: Launch Wan 2.2 Now →

How to Install Wan2GP for Free

The good news: you have several free installation paths, and at least one of them will fit your hardware. Here's the step-by-step breakdown.

Option A: One-Click Windows Installer (easiest)

If you're on Windows, a community-maintained one-click installer (airesearch-official/Wan2GP-OneClick-Installer) automates the whole setup: it installs dependencies and configures Wan2GP with minimal input.

1. Go to the installer's GitHub page and download the latest release
2. Run the installer — it handles Python, PyTorch, and Wan2GP itself
3. Launch Wan2GP from the installer's start menu entry or desktop shortcut
4. In the web UI, download a model (start with Wan 2.2 5B FastWan) and generate

This is the path I'd recommend for anyone who doesn't want to touch a terminal.

Option B: Unified Installer for NVIDIA, AMD, and Mac

The 6Morpheus6/wan2gp repo provides a unified installer script covering NVIDIA, AMD, and Apple Mac, with optimized support for newer GPUs (including NVFP4 quantized formats on RTX 50-series). If you're on AMD — which historically had the roughest time with local AI tools — this is the fork people point to. There's also an AMD-only optimized build (6Morpheus6/wan2gp-amd) for 6GB+ VRAM cards.

Option C: Pinokio

Pinokio is a popular app store for AI software that handles installs and updates for you. Search for "Wan2GP" inside Pinokio (the community manifest is matrokweb/Wan2GP.pinokio) and it will download, install, and keep the app updated. This is the most convenient option if you already use Pinokio for ComfyUI or other AI tools.

Option D: Google Colab — the no-GPU free path

Don't have a capable GPU? The Square-Zero-Labs/Wan2GP-on-Colab notebook automates the entire setup on Google Colab's free tier:

1. Open the notebook and make sure the runtime is set to a GPU (free tier gives you a T4 with 15GB VRAM)
2. Run the cells top to bottom — the notebook clones Wan2GP, installs dependencies, and launches the Gradio interface
3. Click the public Gradio link it prints and generate in your browser

The catch: 15GB of T4 VRAM is too small for most Wan2GP checkpoints. Stick to the Wan 2.2 TextImage2Video 5B FastWan model at 480p and you'll be fine. Free Colab sessions also time out after a few hours of inactivity, so treat it as a way to test the tool, not as a production pipeline.

Option E: Desktop Launcher

GKartist75/wan2gp-desktop is a lightweight desktop launcher that installs, updates, and starts Wan2GP. Useful if you want a GUI for managing the app itself rather than typing commands.

Ready to try it yourself? Try Wan 2.2 Free →

After installation, the first-run flow is the same everywhere: launch the web UI → download a checkpoint (start small: Wan 2.2 5B FastWan) → write a prompt or upload an image → generate. Keep the first session to one model; downloading several at once is how people fill their drives and blame the software.

Hardware Requirements: What You Can Actually Run

Hardware	What you can realistically run
6GB VRAM (older NVIDIA 10XX/20XX, some AMD)	Select low-VRAM models and quantized formats (int8, GGUF, NVFP4)
8-12GB VRAM	Wan 2.2 5B models at lower resolutions, with quantization
15GB VRAM (Colab free T4)	Wan 2.2 5B FastWan at 480p
16-24GB VRAM	Larger checkpoints, higher resolutions, faster iteration
AMD RDNA 2/3/3.5/4	Supported via the AMD installers; performance varies by card

A few practical notes: older NVIDIA cards (10-series and 20-series) are explicitly supported. Quantized formats (int8, fp8, GGUF, NVFP4, Nunchaku) exist specifically to squeeze bigger models into less VRAM — if you're on 8GB, learn to use them. And more VRAM doesn't just mean bigger models; it means faster iteration, which matters more for real work.

What You Can Generate with Wan2GP

Once it's running, Wan2GP is closer to a production toolkit than a toy:

• Text-to-video and image-to-video with Wan 2.1/2.2 and derived models
• LoRA support — add community LoRAs from Hugging Face or CivitAI, or drop in your own finetunes
• Quantized checkpoints — int8, fp8, GGUF, NVFP4, and Nunchaku formats for low-VRAM setups
• Generation queue — line up multiple jobs and walk away
• Headless mode and an API — batch generation from the command line, or plug generative capabilities into your own app
• Built-in editing tools — mask editor, background remover, pose/depth/flow extractors, plus upscaling (RIFE, FlashVSR, Lanczos) and audio post-processing (MMAudio soundtracks, voice replacement)

That's the honest upside: it's a genuinely capable local studio, and it's free. The honest downside is that all of this lives behind a setup process and your GPU's limits. For a closer look at how it stacks up against other models, see Wan Video Models Compared.

Wan2GP vs Free Online Wan Tools

Local and hosted tools solve the same problem in different ways, and the right choice depends on what you're optimizing for:

Dimension	Wan2GP (local)	Free online Wan tools
Setup	30-120 minutes + model downloads	None — open a browser
Hardware cost	GPU with 6GB+ VRAM (or Colab juggling)	None
Model versions	Wan 2.1/2.2 family; add your own checkpoints	Wan 2.7 (newer) out of the box
Privacy	Fully offline, nothing leaves your machine	Cloud processing
Control	LoRAs, quantized formats, full settings access	Prompt-level control only
Ongoing cost	Electricity + your time	Free tier, paid plans for volume
Best for	Tinkerers, offline workflows, developers	Fast production work, non-technical users

Two things worth being direct about. First, Wan2GP's core video support is the Wan 2.1/2.2 family — that's what the official repo documents. You can add finetunes and checkpoints yourself, but if you specifically want Wan 2.7, the hosted free tools are where it runs today. Second, if your goal is finished videos — a product clip, a social post, a storyboard — the setup time of local tools rarely pays for itself. The free online path gets you from zero to a video in minutes.

Want to see the difference on your own footage? Start creating with Wan 2.2 →

Common Mistakes

• Buying a "Wan2GP installation" service — everything is free on the official GitHub; anyone charging for setup is selling what you can do in an hour
• Running big checkpoints on small VRAM — start with Wan 2.2 5B FastWan and quantized formats, not the biggest model you can find
• Using the free Colab tier for heavy work — it's a test environment; sessions time out and 15GB T4 VRAM limits you to 480p on one model
• Downloading every model at once — checkpoints are huge; install one, learn the workflow, then expand
• Confusing Wan2GP with Wan 2.7 tools — they're different things: Wan2GP is a local platform for Wan 2.1/2.2 (plus other open models), while current hosted tools run Wan 2.7

The Bottom Line

Wan2GP is free, open source, and genuinely impressive — it's the best answer I've found for running Wan video models on your own hardware without paying anyone. But "free" here means free software, not zero cost. You pay with GPU hardware, disk space, and setup time, and the tool's core video support is the Wan 2.1/2.2 generation.

Here's how to decide: if you already have a capable GPU, enjoy tinkering, or need offline generation — install it, start with the 5B FastWan model, and use the official GitHub (or the Colab notebook if you have no GPU). If you just want videos for a project this week — product clips, social content, storyboards — skip the setup entirely and use a free online Wan 2.7 generator. You'll get newer models and finished results in minutes, not evenings.

Try a Free Wan Video Generator Instead

Don't want to install drivers, download 50GB of models, or babysit a Colab session? Wan 2.7 runs free in your browser — no setup, no GPU needed.

• Wan 2.7, the newer model — not limited to the 2.1/2.2 checkpoints that dominate local setups
• Zero installation — open the free Wan video generator and start generating
• Text-to-video and image-to-video — the free image-to-video generator animates your photos in the same flow
• Works on any computer — no 6GB VRAM minimum, no AMD/NVIDIA compatibility roulette
• Free to start — test the workflow before you commit to anything

Try the free online Wan video generator

If local setup ever stops being worth your time, the online tools are where you'll land anyway — the free tier is there to prove it.

Skip the setup and test it in the browser: Experience Wan 2.2 Free →

Related guides

• Wan Video Models Compared: Wan 2.1 to Wan 3.0 - Which Should You Use in 2026?
• Krea 2 vs Qwen Image Edit vs Z-Image: Complete Comparison Guide (2026)
• LTX 2.3 vs Wan 2.7: Complete Comparison Guide for AI Video Creators (2026)

FAQ

Is Wan2GP free?

Yes. Wan2GP is open source and free to run locally — the official project states it will never charge a license fee, subscription, or donation. The real costs are hardware (a GPU with 6GB+ VRAM for select models), model downloads, and setup time. Cloud GPU time costs money if you rent it; the software doesn't.

What hardware do I need for Wan2GP?

The project supports setups with as little as 6GB of VRAM using quantized models, including older NVIDIA 10-series and 20-series cards and AMD RDNA 2/3/3.5/4 GPUs. More VRAM (12-24GB) means larger checkpoints and faster iteration. With no GPU at all, the community Colab notebook runs Wan2GP on the free tier, limited to the Wan 2.2 5B FastWan model at 480p.

Wan2GP vs ComfyUI: which should I use?

Wan2GP is a purpose-built, one-stop app with an installer, web UI, LoRA manager, and queue — much faster to set up and easier for beginners. ComfyUI is a node-based workflow engine that's more flexible and has a larger ecosystem of custom nodes, but it demands more technical knowledge. If you just want to generate videos, Wan2GP is the friendlier start.

Can I run Wan 2.7 in Wan2GP?

Wan2GP's documented core video support is the Wan 2.1/2.2 family (plus LTX-2, Hunyuan Video, MiniMax H3, and others), and you can add your own checkpoints and finetunes. But if you specifically want Wan 2.7, hosted online tools run it directly — no need to find or configure a checkpoint yourself.

Is Wan2GP safe to download?

Download only from the official GitHub repository (deepbeepmeep/Wan2GP) or the official sites wangp.ai / wan2gp.ai. The project explicitly warns it is not affiliated with third-party services using the WanGP/Wan2GP names — avoid paid "installation services" and lookalike sites.

Do I need a GPU for Wan2GP?

You need a GPU to run it on your own machine — but the free Google Colab notebook gives you a cloud GPU (T4, 15GB VRAM) at no cost. The trade-off is limits: one supported model (Wan 2.2 5B FastWan), 480p resolution, and sessions that time out after inactivity.

What's the difference between Wan2GP and WanGP?

Nothing — WanGP is the project's current name; Wan2GP is the original name. Both refer to the same open-source software, and you'll see the two used interchangeably in the community.

References

• deepbeepmeep/Wan2GP — official GitHub repository — the upstream project, documentation, model support list, and official statements on free usage
• WanGP Official Site (wangp.ai) — official web presence and download guidance
• Square-Zero-Labs/Wan2GP-on-Colab — free Google Colab setup notebook (Wan 2.2 5B FastWan at 480p on T4)
• airesearch-official/Wan2GP-OneClick-Installer — one-click Windows installer
• 6Morpheus6/wan2gp — unified installer for NVIDIA, AMD, and Apple Mac
• GKartist75/wan2gp-desktop — desktop launcher for install, update, and start
• matrokweb/Wan2GP.pinokio — Pinokio app manifest for Wan2GP
• Free Wan Video Generator (wanvideogenerator.com) — free online Wan 2.7 text-to-video and image-to-video generation