Hunyuan Video

Hunyuan Video is Tencent's open-source text-to-video foundation model, released in late 2024 as one of the largest publicly available video generation systems at roughly 13B parameters. It uses a diffusion transformer backbone with a 'dual-stream to single-stream' hybrid design, a causal 3D VAE that compresses video into a compact latent space, and a multimodal LLM as its text encoder in place of the CLIP/T5 encoders used by most competitors. The result is notably strong prompt adherence, cinematic motion, and physical plausibility that benchmark-close to closed models like Runway Gen-3 and Kling. Standard output is 129 frames (roughly 5 seconds) at up to 1280x720, with support for 9:16, 16:9, 4:3, 3:4 and 1:1 aspect ratios and a built-in 'Normal' and 'Master' prompt-rewriting mode that reshapes user prompts into the format the model was trained on. The repository ships with an image-to-video variant, a LoRA training pipeline, ComfyUI nodes, Docker images, a Gradio UI, and Diffusers integration, and the weights are mirrored on Hugging Face. Tencent also runs a hosted consumer product and exposes generation through Tencent Cloud's API. It is aimed at researchers, generative-AI studios, VFX and pre-viz teams, and independent creators who need frontier-tier video quality without a per-second SaaS bill and are willing to run an 80GB-class GPU (or rent one). Common workflows include text-to-video shorts, image-to-video animation of stills and product shots, LoRA fine-tunes on branded characters or styles, and using it as the generation backend inside ComfyUI pipelines.