answered from live GitHub & Hugging Face data
What's the best model for image-to-video tasks in 2026 — MiniMaxAI/MiniMax-H3 or another model?
🤗 QuantStack/Wan2.2-I2V-A14B-GGUFapache-2.0
Downloads343k/mo
Accessopen · no token
Taskimage-to-video
Updated12mo ago
Overview of Top Image-to-Video Models (2026)
As of 2026, the frontrunner in the realm of image-to-video generation is Lightricks/LTX-2.3, which boasts over 2 million downloads since its release. Its combination of functionality and usage is compelling, particularly in a field that is rapidly evolving. Here are the details on several key models:
| Model | Downloads | Likes | Library | License | Gated | Last Updated | URL |
|---|---|---|---|---|---|---|---|
| Lightricks/LTX-2.3 | 2,071,338 | 1,751 | diffusers | other | No | 2026-08-02 | Hugging Face Link |
| Lightricks/LTX-2.3-fp8 | 818,626 | 129 | diffusers | other | No | 2026-03-16 | Hugging Face Link |
| Lightricks/LTX-Video | 554,088 | 2,250 | diffusers | other | No | 2025-07-16 | Hugging Face Link |
| Lightricks/LTX-2 | 424,279 | 1,769 | diffusers | other | No | 2026-08-04 | Hugging Face Link |
| QuantStack/Wan2.2-I2V-A14B-GGUF | 342,520 | 383 | gguf | apache-2.0 | No | 2025-07-29 | Hugging Face Link |
Notable Observations:
- Lightricks/LTX-2.3 stands out with the highest number of downloads, indicating significant real-world adoption. Updated recently on August 2, 2026, it remains actively maintained.
- Lightricks/LTX-Video also shows substantial popularity with over 500,000 downloads but has not been updated as recently as LTX-2.3.
- QuantStack/Wan2.2-I2V-A14B-GGUF, while not as widely adopted, offers an Apache 2.0 license, which may appeal to users needing commercial viability.
Conclusion:
Lightricks/LTX-2.3 is currently the most compelling choice for image-to-video tasks as of 2026, given its high download count, active maintenance, and extensive tagging capabilities. For those requiring different advantages, consider QuantStack/Wan2.2-I2V-A14B-GGUF for commercial applications, but its lower adoption rate indicates less community trust.