Tools/Video Generation/HunyuanVideo 1.5

HunyuanVideo 1.5

Tencent 8.3B video model that animates text prompts or still images on about 14 GB of VRAM with offloading.

Open SourceSelf HostedOffline CapableGPU Required (24GB+ VRAM)
0.0 (0)

About

Where Tencent's original HunyuanVideo topped 13 billion parameters, version 1.5 shrinks to 8.3 billion: a Diffusion Transformer coupled to a causal 3D VAE that compresses frames 16x spatially and 4x in time, so generation fits on one consumer GPU. A single codebase generates clips from a written prompt or from a starting image at 480p or 720p, defaulting to 121 frames, about five seconds at 24 fps, and a separate distilled upscaling model can take results to 1080p. Released checkpoints include CFG-distilled versions and a 480p image-to-video step-distilled model that needs either 8 or 12 sampling steps, alongside sparse attention, cache-based speedups, and FP8 matrix kernels. Plan on Linux, Python 3.10 or newer, and an NVIDIA GPU with roughly 14 GB of VRAM when offloading is enabled; Flash, Sage, or flex-block attention are optional extras. Diffusers, ComfyUI, and LightX2V support it, and training plus LoRA scripts arrived in December 2025. Weights fall under the Tencent Hunyuan Community License, which excludes the EU, UK, and South Korea and requires a separate deal for services above 100 million monthly users.

Should you use HunyuanVideo 1.5?

Pick it when

Pick HunyuanVideo 1.5 when you want Tencent-quality text and image-to-video on a single workstation card: the 8.3B model runs from about 14 GB with offloading, far below the original HunyuanVideo's 45 GB floor.

Look elsewhere when

Skip it if you operate in the EU, UK, or South Korea, which the Tencent Hunyuan Community License excludes, or need standard open terms: Wan 2.1 is Apache-2.0 and Kandinsky 5.0 is MIT, both with consumer-GPU paths.

Alternatives to HunyuanVideo 1.5

  • HunyuanVideo

    The original 13B model with a longer-established base of quants, LoRAs, and fine-tunes, but it needs 45 GB minimum and 80 GB recommended.

  • Wan 2.1

    Apache-2.0 without territory exclusions, plus first-last-frame and VACE editing models, with a 1.3B option for 8 GB cards.

  • Kandinsky 5.0

    MIT-licensed, with a 2B Lite tier around 12 GB and a 19B Pro tier up to 1080p, plus pretrain checkpoints for researchers.

  • LTX-2.5

    Adds synchronized audio and multishot character consistency, free commercially under 10 million dollars in revenue, but a heavier 22B model.

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