CIVITAI / Workflows

HunyuanVideo 1.5 accelerated image-to-video 1080p

This workflow focuses on accelerating image-to-video generation with HunyuanVideo 1.5 by combining its native i2v diffusion model with a four-step Light-X2V acceleration LoRA. The accelerated LoRA compresses the long inference path of the standard model into a much shorter sequence, so a 720p clip that normally requires more than 30 minutes can be produced in about 10 minutes. Even though Light-X2V is labeled as a text-to-video accelerator, it still works reliably for image-to-video when paired with Hunyuan’s architecture. The workflow keeps the structure clean: an uploaded start image feeds into Hunyuan’s dual-encoder system, then the accelerated sampling produces the motion sequence, and the final 1080p enhancement remains available as an optional finishing stage. Despite Hunyuan being less universally adaptable than Wan2.2, its training quality is still excellent, making it well-suited for fast, high-resolution image-to-video tasks. In use, the workflow is straightforward—upload an image, write the prompt, set resolution and frame length, and run the accelerated pipeline. Lower CFG values help stabilize the accelerated model, and although it can run at four steps, many users prefer keeping it around eight for more dependable motion. Reducing LoRA strength slightly prevents over-pushing the dynamics, especially when using the 2-rank or 8-rank variants. The Sage Attention module can speed up model interaction without changing the visual style, and the final tiled 1080p decode stage preserves clarity while keeping the upscale process automatic. Motion intensity may drop slightly at extreme acceleration, but overall the speed increase is substantial, and the quality remains steady enough for practical production. For creators who need quick, clean 720p–1080p video from a single image, this accelerated setup offers an efficient, reliable workflow built on top of HunyuanVideo 1.5’s strengths. 🎥 YouTube Video Tutorial Want to know what this workflow actually does and how to start fast? This video explains what the tool is, how to launch the workflow instantly, and shares my core design logic — no local setup, no complicated environment. Everything starts directly on RunningHub, so you can experience it in action first. 👉 YouTube Tutorial： https://youtu.be/Ac0662XPbyE Before you begin, I recommend watching the video thoroughly — getting the full context h