Open Source Text-to-Video in 2026: Open-Sora (29k Stars) vs AnimateDiff vs Stable Video Diffusion - Local Video Generation

Open-Sora (29,244 stars), AnimateDiff (12,211) and Stable Video Diffusion (27,240) bring text-to-video to your own GPU - shorter clips than Sora, but free and fully controllable.

💡 What You Will Learn

Open-Sora (29,244 stars), AnimateDiff (12,211) and Stable Video Diffusion (27,240) bring text-to-video to your own GPU - shorter clips than Sora, but free and fully controllable.

## The short answer **Open-Sora** (29,244 stars, Apache-2.0) by HPC-AI Tech is the most serious open-source attempt at a Sora-like video model - it supports text-to-video, image-to-video and longer clips, with training code included. **AnimateDiff** (12,211 stars, Apache-2.0) animates Stable Diffusion images - perfect for short stylized loops. **Stable Video Diffusion** (27,240 stars, MIT) from Stability generates 2-5 second clips from a single image. ## Quick start with Open-Sora ```bash git clone https://github.com/hpcaitech/Open-Sora.git; cd Open-Sora pip install -e . ``` ```python import torch from opensora.models import TextToVideo model = TextToVideo.from_pretrained("hpcai-tech/Open-Sora-v1.2") prompt = "a golden retriever running through a flower field, cinematic lighting" video = model.generate(prompt, num_frames=93, height=480, width=640) ``` ## Which model for which job | Model | Stars | Input | Best for | |:------|------:|:------|:---------| | Open-Sora | 29,244 | Text / image | Longer clips, real motion | | AnimateDiff | 12,211 | Text + image | Stylized animated loops | | SVD | 27,240 | Image only | 2-5s motion from one photo | ## Real numbers - Open-Sora v1.2 generates 16 frames (480p) in about 2-4 minutes on an A100-class GPU; consumer 24GB GPUs can do 240p clips. - AnimateDiff runs on a 12GB GPU and produces 16-frame GIFs in ~1-2 minutes. - These models produce 480p/720p clips of 2-10 seconds - not Sora's 60s cinema, but enough for ads, social posts and concept videos. ## FAQ **Q: Why not just use Sora?** A: Sora is not publicly available for everyone and costs per generation. Open models are free, private, and fine-tunable. **Q: Can I use these for commercial projects?** A: Apache-2.0 (Open-Sora, AnimateDiff) and MIT (SVD) allow commercial use - check each model card for trained weights' specific terms.