Local AI Video · Updated 2026-07-17

Local Text-to-Video Model Rankings

A practical local AI video model list scored by visual quality, speed, deployability, ecosystem, and production workflow maturity. Text-to-image support is called out separately so you can decide whether to generate keyframes first.

Top model
Wan2.2 / Wan A14B / TI2V-5B
Top score
94/100
Minimum trial
8GB-12GB VRAM
Recommended stack
ComfyUI / Diffusers
Rank
Model
Score
Support
Minimum Install
1#1

Wan2.2 / Wan A14B / TI2V-5B

Wan-AI / Alibaba

Local text-to-video, image-to-video, first/last-frame video, and production ComfyUI workflows

GitHubHugging Face
GitHub IssuesHF DiscussionsReddit
94/100
Best overall tier
Text-to-videoNative
Image-to-videoNative
Text-to-imageNative

TI2V-5B/GGUF can be tested at low resolution on 12GB-16GB VRAM; A14B is best with 24GB VRAM plus FP8/GGUF/offload.

RTX 4090/5090 24GB or a 48GB workstation GPU, 64GB RAM, 150GB-200GB SSD.

  • Best default core for a local video product today: T2V, I2V, first/last-frame, and quantized community workflows are all active.
  • A14B has stronger quality; TI2V-5B/GGUF is better for lower-cost trials and batch iteration.
2#2

FramePack

lllyasviel / HunyuanVideo ecosystem

Image-to-video, long shot continuation, low-VRAM tests, and character showcase clips

GitHubComfyUI Wrapper
GitHub IssuesRedditX Search
86/100
Low-VRAM long-video workflow
Text-to-videoWorkflow
Image-to-videoNative
Text-to-imageNot native

Community examples report low-resolution short clips on 6GB-12GB VRAM; slow but accessible.

RTX 3060/4060 12GB to start; RTX 4090/5090 24GB for longer clips and batches.

  • It is more of a HunyuanVideo-based low-VRAM video workflow/wrapper than a fully separate foundation model.
  • Great for animating one character image, extending a shot, and proving a local-video product cheaply.
3#3

HunyuanVideo 1.5

Tencent Hunyuan

Chinese/English prompts, character stability, camera stability, and high-quality consumer-GPU generation

GitHubHugging Face
GitHub IssuesHF DiscussionsReddit
82/100
High-quality lightweight flagship
Text-to-videoNative
Image-to-videoNative
Text-to-imageNot native

The 8.3B model targets consumer GPUs; practical use is best from 16GB-24GB VRAM.

RTX 4090/5090 24GB, 64GB RAM, 120GB SSD.

  • Good for local creators who care about cinematic output, complex scenes, and motion stability.
  • Heavier to operate than Wan2.2/FramePack, so use it as a high-quality fallback or hero-shot rerender path.
4#4

LTX-Video

Lightricks

Fast previews, low-VRAM iteration, and short-video shot drafts

GitHubHugging Face
GitHub IssuesHF DiscussionsReddit
88/100
Speed first
Text-to-videoNative
Image-to-videoNative
Text-to-imageNot native

RTX 4060 8GB can use quantized workflows for short 720x480 clips.

12GB-16GB VRAM, 32GB RAM, 80GB SSD.

  • Its main strength is speed and local iteration, useful for storyboards and motion drafts.
  • Final hero shots can be rerun in Wan or HunyuanVideo for higher quality.
5#5

CogVideoX

THUDM / Zhipu AI

Open-source tutorials, Diffusers/ComfyUI workflows, and reproducible experiments

GitHubHugging Face
GitHub IssuesHF DiscussionsReddit
84/100
Mature ecosystem
Text-to-videoNative
Image-to-videoWorkflow
Text-to-imageNot native

The 5B model is best with 12GB-16GB VRAM; lower VRAM needs quantization or CPU offload.

RTX 3090/4090 24GB, 64GB RAM, 100GB SSD.

  • There is a large body of text-to-video material, making it useful for controlled tests and integration.
  • Image-to-video depends on specific model variants or community workflows, so confirm the checkpoint first.
6#6

SkyReels-V2

SkyworkAI

Cinematic tests, multi-shot sequences, and long temporal consistency experiments

GitHubHugging Face
GitHub IssuesHF DiscussionsReddit
82/100
Long-video direction
Text-to-videoNative
Image-to-videoWorkflow
Text-to-imageNot native

24GB VRAM is the practical starting point; long clips and high resolution raise VRAM and storage needs quickly.

48GB VRAM or multi-GPU, 128GB RAM, 200GB SSD.

  • Useful for long-video consistency research, but harder to deploy locally than short-video models.
  • Before production use, confirm both the license and required model weights.
7#7

Mochi 1 Preview

Genmo

English prompts, cinematic tests, and research reproduction

GitHubHugging Face
GitHub IssuesHF DiscussionsReddit
78/100
Open research model
Text-to-videoNative
Image-to-videoNot native
Text-to-imageNot native

24GB VRAM is recommended; lower VRAM needs community quantization and offload.

RTX 4090 24GB or a 48GB workstation GPU, 64GB RAM, 120GB SSD.

  • It has a strong visual style, but I2V and T2I are not the native main path.
  • Good as a comparison model or for stylized shot experiments.
Scoring method

Score = visual quality 35%, motion stability 20%, local deployability 20%, ecosystem 15%, production workflow maturity 10%. This is a builder-oriented score, not a pure paper benchmark.

Minimum practical config

For a first run, try LTX-Video or Wan 1.3B on 8GB-12GB VRAM. For reliable production, use 24GB VRAM, 64GB RAM, and enough SSD space.

Asset workflow

The most reliable path is text-to-image keyframes first, then image-to-video clips, then FFmpeg or an editor for interpolation, transcoding, sound, and delivery.

Update cadence

This page refreshes every three days through Cloudflare Cron and KV. Each refresh records the last update time and checks official weights, install docs, Hugging Face metadata, and community discussion before changing the curated ranking.

Last refreshed: 2026-07-17 · Next scheduled refresh: 2026-07-20

Official GitHub releases and issuesHugging Face model cards and discussionsReddit search across StableDiffusion, LocalLLaMA, ComfyUI, and aiVideoArxiv papers and project pagesArtificial Analysis and Video Arena open-weight leaderboards

Local install checklist

NVIDIA Driver + CUDA 12.x
Python 3.10/3.11 + Git + Git LFS
ComfyUI + ComfyUI-Manager, or the official repo + Diffusers
FFmpeg for frame extraction, transcoding, interpolation, and compression
At least 100GB free SSD space; 200GB+ is better for multiple 14B models

Asset websites

Pexels Videos

Free video assets

Good for real footage, motion references, and first frames for image-to-video.

Pixabay Videos

Free video/audio

Useful for B-roll, nature scenes, and commercial-safe source material.

Mixkit

Free video/music

Good for short-video templates, transitions, and music drafts.

Unsplash

Image keyframes

Good for image-to-video keyframes and moodboards.

Poly Haven

HDRI/textures/3D

Useful for 3D scenes, lighting reference, and game-video assets.

Freesound

Sound effects

Useful for ambience and action sound effects; check each asset license.

Licenses vary by asset. For commercial use, open each asset page and verify its license; model weights also have separate terms.