Tencent-Hunyuan/HunyuanVideo-I2V

Health v2 · maintenance only

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Adoption not part of the score

1840 stars · 196 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

HunyuanVideo-I2V is Tencent's open-source image-to-video generation framework built on the HunyuanVideo diffusion model, providing PyTorch model definitions, pre-trained weights, and inference code. It also includes LoRA training code for creating customizable video special effects.

Use cases

• generate a video from a single still image
• animate photos with a text prompt
• train a LoRA for custom video special effects
• run image-to-video diffusion inference on GPUs
• speed up video generation with parallel inference
• create AI video effects from custom images

When to choose

• you need state-of-the-art open-source image-to-video generation
• you want to fine-tune video effects with LoRA training
• you have GPU resources for large diffusion model inference
• you want customizable, prompt-driven video animation from images

When to avoid

• you need lightweight or CPU-only video generation
• you want a polished end-user app rather than model code
• you cannot meet the high GPU/VRAM requirements
• you need a permissively licensed model for commercial use without review

Facets

library · maturity active

machine-learning deep-learning video-processing image-processing llm-inference deep-learning artificial-intelligence image-processing media python diffusion-models image-to-video video-generation lora-training pytorch generative-ai video gpu linux

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