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WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor

WanGP supports the Wan (and derived models) but also Hunyuan Video, Flux, Qwen, Z-Image, LongCat, Kandinsky, LTXV, LTX-2, Qwen3 TTS, Chatterbox, HearMula, ... with:

• Low VRAM requirements (as low as 6 GB of VRAM is sufficient for certain models)
• Support for old Nvidia GPUs (RTX 10XX, 20xx, ...)
• Support for AMD GPUs (RDNA 4, 3, 3.5, and 2), instructions in the Installation Section Below.
• Very Fast on the latest GPUs
• Easy to use Full Web based interface
• Support for many checkpoint Quantized formats: int8, fp8, gguf, NV FP4, Nunchaku
• Auto download of the required model adapted to your specific architecture
• Tools integrated to facilitate Video Generation : Mask Editor, Prompt Enhancer, Temporal and Spatial Generation, MMAudio, Video Browser, Pose / Depth / Flow extractor, Motion Designer
• Plenty of ready to use Plug Ins: Gallery Browser, Upscaler, Models/Checkpoints Manager, CivitAI browser and downloader, ...
• Loras Support to customize each model
• Queuing system : make your shopping list of videos to generate and come back later
• Headless mode: launch the generation of multiple image / videos / audio files using a command line

Discord Server to get Help from the WanGP Community and show your Best Gens: https://discord.gg/g7efUW9jGV

Follow DeepBeepMeep on Twitter/X to get the Latest News: https://x.com/deepbeepmeep

• 🚀 Quick Start
• 📦 Installation
• 🎯 Usage
• 📚 Documentation
• 🔗 Related Projects

• LTX-2 Ic Lora Rebooted: Ic Loras behave like Control Nets and can do Video to Video by applying an effect specific to the Ic Lora for instance Pose Extraction, Upsampling, Transfer Camera Movement, ... More and More Ic Loras are available nowadays. Until now WanGP Ic Lora implementation was based on the official LTX-2 github implementation (which a 2 phases process where the Ic Lora is only applied during the first low res phase). However I have just discovered that all the Ic Loras around expect in fact the ComfyUI implementation which is one phase only process at full res.

So from then on WanGP Ic Lora will work this way too. The downside is that a single Full Res pass is much more GPU intensive. But all is good in WanGP world, as the LTX2 VRAM optimisations will allow you to use Ic Loras at resolutions impossible anywhere else.

As a bonus I have tuned Sliding Windows for Ic Loras, and if you set Overlap Size to a single frame, transitions between windows when using Ic Lora will be almost invisible.

• Outpaint Ic Lora: this new impressive Ic Lora will be loaded automatically if you select the Control Video for Ic Lora option and enable Outpainting. If you use Sliding Windows with Outpainting you will be able to outpaint a full movie (assuming you have enough RAM).

• New Outpainting Auto Change Aspect Ratio: As a reminder WanGP let you define manually where an Outpainting should happen. Alternatively you can now ask WanGP to use outpainting to change the Width/ Height Aspect ratio of the Control Video. For instance you can turn any 16/9 video into a 4/3 video by generating new details instead of adding black bars. The Top/Bottom/Left/Right Sliders in this new mode will be used to define which area should be expanded in priority to meet the requested aspect ratio..

-- New One Click Install / Update Scripts: We have to thank Tophness / @steve_Jabz for that one. Huge Kudos to him! The scripts will not only install WanGP but also all the Kernels (among Triton, Sage, Flash, GGuf, Lightx2v, Nunchaku) supported by your GPU. Please have a look at the instructions further down. Dont't hesitate to share feedback or report any issue.

update 11.26: fixed outpainting ignored with if Manual Expansion was selected

• Magi Human: this is a newly Talking Head model that accepts either a custom soundrack or can generate the audio speech that comes with the video.
  • The bad news :it is VRAM hungry (targets RTX 5090+) and very res picky, that is the ouput res must be either 256p or 1080p (using a 2 stage pipeline with upsampling). There is also a 540p version (using also an upsampler) but it is not included as I found it unpractical (ghosting guaranteed if your output is not exactly the right height/width ratio),
  • The good news : now that it is WanGP optimized, 101 frames at 1080p requires "only" 16 GB of VRAM. If you dont have that much VRAM I recommend to still go for 1080p but set a 45 frames Sliding Window (not too low to avoid artifacts) as Sliding Windows sometime works well with this model.

I have spent a lot of time optimizing Magi Human, but I am not yet sure it is worth keeping it given all the constraints to run this model. So this is where I need YOU. Please share your experience using Magi Human on the Discord server and you shall decide its fate. Should we keep it or send it to the model graveyard ?

• Ace 1.5 Turbo XL: the best open source song generator has now a big brother XL that delivers better audio quality and sticks closer to the requested lyrics.

• LTX 2 Id Lora: due to a huge popular demand I have added this one (it is a new Generate Video option). You can provide a voice audio sample, a start image and text script and it will turn LTX 2/2.3 into talking heads. Cost is high to get this feature as Id Lora works only with LTX2/2.3 DEV. By chance it seems it can produce decent results in only 10 inference steps. To get the best results it is recommended to use prefix tags [VISUAL], [SPEECH] & [SOUND]. Alternatively you can use WanGP Prompt Enhancer that has been to tuned to generate a prompt following this syntax.

• LTX 2 NAG: you can now inject a Negative Prompt even if you use the Distilled Model thanks to NAG support for LTX 2

• LTX 2 DEV HQ Mode: this High Quality mode should produce better output at higher res. You can turn it on using the new HQ (res2s) Sampler and set 15 steps and guidance rescaler to 0.45. It is compatible with Id Loras. Note that a HQ steps is twice as slow as a vanilla Dev step, so it is going to be as slow as Dev if not slower.

• LTX2 DEV Presets: Vanilla Dev mode & HQ Mode have lots of tunable settings. To make your life easier I have added selectionable presets in the Settings Drop Downbox

• More Deepy :

  • UI Improvements: you can queue requests by inserting empty lines between two requests, get the last turn by clicking the Down Arrow
  • More Responsive: Deepy should execute much more quickly consecutive actions
  • More Reliable: fast full context compaction (when deepy ran out of tokens), Deepy will remember what you stopped / aborted
  • More Capabilities: you can ask Deepy to specifiy a guidance, denoising strength, ... value (the value defined in the tool template will be overridden)

As a reminder beside writting huge essays about how great you are, Deepy can generate Video, Image & Audio, extract / transcribe / trim / resize (when applicable) video or audio clip, inspect the content of an image or a video frame, generate black frames, ... Deepy used Tool templates but you can specify for one task the loras, number of frames, dimensions, ... There is also a CLI version of Deepy quite useful for remote use. Please check the fulldoc docs/DEEPY.md.

• Multi Multilines Prompts: check new options in "How to Process each Line of the Text Prompt", you can now have multiple multi lines prompts. They just need to be separated by an empty line.

update 11.21: added Ace Step 1.5 Turbo XL
update 11.22: added LTX2 NAG

Meet Deepy your friendly WanGP Agent.

It works offline with as little of 8 GB of VRAM and won't divulge your secrets. It is 100% free (no need for a ChatGPT/Claude subscription).

You can ask Deepy to perform for you tedious tasks such as:

generate a black frame, crop a  video, extract a specific frame from a video, trim an audio, ...

Deepy can also perform full workflows:

1) Generate an image of a robot disco dancing on top of a horse in a nightclub.
2) Now edit the image so the setting stays the same, but the robot has gotten off the horse and the horse is standing next to the robot.
3) Verify that the edited image matches the description; if it does not, generate another one.
4) Generate a transition between the two images.

or

Create a high quality image portrait that you think represents you best in your favorite setting. Then create an audio sample in which you will introduce the users to your capabilities. When done generate a video based on these two files.

Deepy can also transcribe the audio content of a video (new to WanGP 11.11)

extract the video from the moment it says "Deepy changed my life"

Deepy reuses the Qwen3VL Abliterated checkpoints and it is highly recommended to install the GGUF kernels (check docs/INSTALLATION.md) for low VRAM / fast inference. now available with Linux!

Please install also flash attention 2 and triton to enable vllm and get x2/x3 speed gain and lower VRAM usage.

You can customize Deepy to use the settings of your choice when generating a video, image, ... (please check docs/DEEPY.Md).

Go the Config > Prompt Enhancer / Deep tab to enable Deepy (you must first choose a Qwen3.5VL Prompt Enhancer)

Important: in order to save Deepy from learning all the specificities of each model to generate image, videos or audio, Deepy uses Predefined Settings Templates for its six main tools (Generate Video, Generate Image, ...). You can change the templates used in a session or even add your own settings. Just have a look at the doc.

With WanGP 11.11 you can ask Deepy to generate a Video or an Image in specific dimensions and also a number of frames for a video. You can also specify an optional number of inference of steps or loras to use with multipliers. If you don't mention any of these to Deepy, Deepy Default settings or the current Templated Settings will be used instead.

WanGP 11 addresses a long standing Gradio issue: Queues keep being processed even if your Web Browser is in the background. Beware this feature may drain more battery, so you can disable it in the Config / General tab.

You have maybe also noticed the new option Keep Intermediate Sliding Windows in the Config / Outputs tab that allows you to discard intermediate Sliding Windows

• Qwen3.5 VL Abliterated Prompt Enhancer: new choice of Prompt Enhancer

  • Based on widely acclaimed Qwen3.5 model that has just been released
  • Uncensored thanks to the Abliterating process that nullifies any LLM will to decline any of your request
  • 4 choices of models: depending on how much VRAM you have 4B & 9B models, and GGUF Q4 or Int8
  • vllm accelerated x5 faster, if Flash Attention 2 & Triton are installed (please check docs/INSTALLATION.md)
  • Think Mode: for complex prompt queries

  Also you can now expand or override a System Prompt prompt Enhancer with add @ or @@ (check new doc PROMPTS.md)

• GGUF CUDA Kernels: 15% speed gain when using GGUF on Diffusion Video Models & x3 speed with GGUF LLM (Qwen 3.5 VL GGUF for instance). GGUF Kernels are for the moment only available for Windows (please check docs/INSTALLATION.md).

• LTX2.3 Improvements

  • End Frame without Start Frame: you know how your story ends but want to see how it started, just give an End Frame (no start Frame)
  • New GGUF Checkpoints
  • VAE Decoding hopefully should expose less banding
  • Multiple Frames Injections: inject at different positions the reference frames of your choice (works for LTX-2.0 too)
  • Image Strength can be applied now too End Frames & Injected Frames
  • New Spatial Upsampler 1.1, hotfix supposed to improved quality with long video
  • More VRAM optimisations: Oops I dit it again ! not that is was needed since WanGP is by far the LTX2 implementation that needs the least VRAM. But now we can in theory (output wont look nice due to LTX2 limitations) generate 15s at full 4K with 24GB of VRAM. So it means that with lower config you should be able to generate longer videos at 720p/1080p. As a bonus you get a 8% speedup.
  • NVFP4 Dev checkpoint: if you have a RTX 50xx, help yourself

• WanGP API: rejoice developers (or agents) among you ! WanGP offers now an internal API that allows you to use WanGP as a backend for your apps. It is subject to compliance to the terms & conditions of WanGP license and more specifically to inform the users of your app that WanGP is working behind the scene.

• LTX Desktop WanGP: as a sample app (made just for fun) that uses WanGP API, you may try LTX Desktop. This app offers Video / Audio nice editing capabilities but will require 32+ VRAM to run. As now it uses WanGP as its core engine, VRAM requirements are much smaller. It will use LTX 2.3 for Video Gen & Z Image turbo fo Image gen. You can reuse (in theory) your current WanGP install with LTX Destop WanGP. https://github.com/deepbeepmeep/LTX-Desktop-WanGP

• New Audio Ouput formats in mp4: audio stored in video file can now be of higher quality (AAC192 - AAC320) or ALAC (lossless). Please note that you wont be able listen to ALAC audio track directly in the webapp.

Also note as people preferred mataynone v1 over v2 I have added an option to select matanyone version in the Config / Extension tab

update 10.9871: Improved Qwen3.5 GGUF Prompt Enhancer Output Quality & added Think mode
update 10.9872: Added LTX 2.0/2.3 frames injection
update 10.9873: Fixed low fidelity LTX2 injected frames + added Image Strength slider for end & injected frames
update 10.9874: Replaced LTX-2.3 spatial upsampler by hotfix v1.1
update 10.9875: LTX-2 more VRAM optimisations + NVFP4 checkpoint

• LTX-2 2.3: 0 day delivery of LTX 2 latest version with better audio, image 2 video and greater details. This model is bigger (22B versus 19B), but with WanGP VRAM usage will be still ridiculously low. Try it at 720p or 1080p, this is where it will shine the most !

Control Video Support (Ic lora Union Control) will let you transfer Human Motion, Edges, ... in your new video.

For expert users, Dev finetune offers extra new configurable settings (modality guidance, audio guidance, *STG pertubation/skip self attention *, guidance rescaling). LTX team suggests: Cfg=3, Audio cfg=7, Modality Cfg=3, Rescale=0.7, STG Perturbation Skip Attention on all steps.

I recommend to stick to the Distilled finetune for higher resolutions (see sample video below) as it seems to have been distilled from a higher quality model (pro model?).

• Kiwi Edit: a great model that lets you edit video and / or inject objects in a video. It exists in 3 flavours depending on what you want to do

• SVI PRO2 End Frames: this should allow in theory to generate very long shots by splitting one shot into sub shots (sliding windows) by inserting key frames (the End Frames). This is an alternative to the Infinitalk references frames method (see my old release notes). I am waiting for your feedback to know which method is the best one.

• Upgraded Models Selector with already Downloaded indicator: Next to each model or finetune, you will find a colored square: Blue = fully downloaded & available, Yellow = partially downloaded & Black = not downloaded at all. Please note that the square color will depend on your current choices of requested model quantization.

• Upgraded Models Manager: colors squares have also been added so that you can see in glance what has already been downloaded. New filter for a quick model lookout. List of missing files per finetune.

• Matanyone 2: everyone favorite Mask extractor has been been updated and is now more precise

update 10.981: LTX2.3 Ic Lora Support & expert settings, Matanyone 2, SVI Pro end frames

See full changelog: Changelog

The 1-click automated scripts for both Windows (.bat) and Linux/macOS (.sh) make installation, environment management, and updates as seamless as possible. These scripts will not only install WanGP but also best acceleration kernels (Triton, Sage, Flash, GGuf, Lightx2v, Nunchaku) available for your config.

👉 Windows Users: Double-click the .bat files. Linux Users: Run the .sh files in your terminal.

Choose Installation Type

• Auto Install
• Manual Install

Manual Install

If you selected Manual Install, you will be guided through:

1. Choose your package manager
2. Name your environment
3. Select your Install Mode

Once installed, use this script to launch the application. It runs WAN2GP using your active environment.

If you want to pass extra command-line flags to the WAN2GP launcher (like enabling advanced UI features or automatically opening your browser), create an args.txt file in your scripts folder.

Example args.txt:

--advanced  --open-browser

Use this script to get the latest updates for WAN2GP and upgrade dependencies.

• 1. Update: Fetches the latest code from GitHub (git pull) and updates requirements (pip install -r requirements.txt).
• 2. Upgrade: Allows you to manually individually upgrade heavy backend components (like PyTorch, Triton, Sage Attention) based on your hardware profile.

Use this script to manage and switch between your sandboxed environments safely.

• Example Scenario: Let's say you have an environment named env_stable that works perfectly, but you want to try the new "Use Latest" combo. Instead of risking your working setup, you can run install.bat, create a new environment called env_testing, and select "Use Latest".
• If the testing environment breaks or gives you errors, you can simply open manage.bat, select Set Active Environment, and switch back to env_stable. You are back up and running instantly.

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Get started instantly with Pinokio App
It is recommended to use in Pinokio the Community Scripts wan2gp or wan2gp-amd by Morpheus rather than the official Pinokio install.

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git clone https://github.com/deepbeepmeep/Wan2GP.git
cd Wan2GP
conda create -n wan2gp python=3.10.9
conda activate wan2gp
pip install torch==2.7.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128
pip install -r requirements.txt

git clone https://github.com/deepbeepmeep/Wan2GP.git
cd Wan2GP
conda create -n wan2gp python=3.11.14
conda activate wan2gp
pip install torch==2.10.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu130
pip install -r requirements.txt

python wgp.py

First time using WanGP ? Just check the Guides tab, and you will find a selection of recommended models to use.

If using Pinokio use Pinokio to update otherwise: Get in the directory where WanGP is installed and:

git pull
conda activate wan2gp
pip install -r requirements.txt

I recommend creating a new conda env for the Python 3.11 to avoid bad surprises. Let's call the new conda env wangp (instead of wan2gp the old name of this project) Get in the directory where WanGP is installed and:

git pull
conda create -n wangp python=3.11.9
conda activate wangp
pip install torch==2.10.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu130
pip install -r requirements.txt

Once you are done you will have to reinstall Sage Attention, Triton, Flash Attention. Check the Installation Guide -

if you get some error messages related to git, you may try the following (beware this will overwrite local changes made to the source code of WanGP):

git fetch origin && git reset --hard origin/main
conda activate wangp
pip install -r requirements.txt

When you have the confirmation it works well you can then delete the old conda env:

conda uninstall -n wan2gp --all  

Process saved queues without launching the web UI:

# Process a saved queue
python wgp.py --process my_queue.zip

Create your queue in the web UI, save it with "Save Queue", then process it headless. See CLI Documentation for details.

For Debian-based systems (Ubuntu, Debian, etc.):

./run-docker-cuda-deb.sh

This automated script will:

• Detect your GPU model and VRAM automatically
• Select optimal CUDA architecture for your GPU
• Install NVIDIA Docker runtime if needed
• Build a Docker image with all dependencies
• Run WanGP with optimal settings for your hardware

Docker environment includes:

• NVIDIA CUDA 12.4.1 with cuDNN support
• PyTorch 2.6.0 with CUDA 12.4 support
• SageAttention compiled for your specific GPU architecture
• Optimized environment variables for performance (TF32, threading, etc.)
• Automatic cache directory mounting for faster subsequent runs
• Current directory mounted in container - all downloaded models, loras, generated videos and files are saved locally

Supported GPUs: RTX 40XX, RTX 30XX, RTX 20XX, GTX 16XX, GTX 10XX, Tesla V100, A100, H100, and more.

For detailed installation instructions for different GPU generations:

• Installation Guide - Complete setup instructions for RTX 10XX to RTX 50XX

For detailed installation instructions for different GPU generations:

• Installation Guide - Complete setup instructions for RDNA 4, 3, 3.5, and 2

• Getting Started Guide - First steps and basic usage
• Models Overview - Available models and their capabilities
• Prompts Guide - How WanGP interprets prompts, images as prompts, enhancers, and macros

• Deepy Assistant - Enable Deepy, configure its tool presets, use selected media and frames, and run Deepy from the CLI
• Loras Guide - Using and managing Loras for customization
• Finetunes - Add manually new models to WanGP
• VACE ControlNet - Advanced video control and manipulation
• Command Line Reference - All available command line options

• Changelog - Latest updates and version history
• Troubleshooting - Common issues and solutions

• Nice Video that explain how to use Vace:
  https://www.youtube.com/watch?v=FMo9oN2EAvE
• Another Vace guide:
  https://www.youtube.com/watch?v=T5jNiEhf9xk

• HuanyuanVideoGP - One of the best open source Text to Video generators
• Hunyuan3D-2GP - Image to 3D and text to 3D tool
• FluxFillGP - Inpainting/outpainting tools based on Flux
• Cosmos1GP - Text to world generator and image/video to world
• OminiControlGP - Flux-derived application for object transfer
• YuE GP - Song generator with instruments and singer's voice

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Made with ❤️ by DeepBeepMeep