HunyuanVideo-I2V

Self-Hostable

Category: video • Released 2025

Image-to-video model for animating still images into clips

HunyuanVideo-I2V is a distinct repository and should be evaluated separately from the text-to-video model. Its documentation requires NVIDIA CUDA, lists 60 GB minimum peak memory at 720p and recommends 80 GB; tested on Linux.

Pricing Structure & Model AccessTencent Hunyuan Community License Agreement; check this repository’s terms and notice independently.

freeOfficial Pricing

Free Access QuotaLocal image-to-video weights; no hosted inference included.

Free Tier LimitsOfficial README lists 60 GB minimum peak GPU memory at 720p and recommends 80 GB.

Requirements & Verification

No Account Required (Instant)Verified: 2026-10-23

Open weights · community license · 60 GB VRAM

License: Tencent Hunyuan Community License Agreement; verified for the I2V repository.

Source repository Model weights

Core Capabilities & Features

Image-to-video

Inference and LoRA training code

720p workflow

NVIDIA CUDA/Linux

Who It's Best Suited For

Developers with 60–80 GB NVIDIA GPU memory for local image-to-video experiments.

Execution Environment

Linux with NVIDIA CUDA; local PyTorch inference.Hardware / setup: 60 GB minimum peak at 720p; 80 GB recommended (official README).

Tags & Keywords

#video #image-to-video #open-weights #hunyuan #tencent #gpu

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