视频｜HappyHorse 1.1/1.0 文生视频 T2V

The text-to-video entry in the HappyHorse family: no image inputs at all, just a prompt, and out comes a 3–15 second clip at up to 1080P. It's the simplest of the four HappyHorse nodes - one required field (the prompt), one meaningful decision (sync vs async), and the standard five outputs. If you want to know whether this whole HappyHorse thing is worth integrating, this is the cheapest node to find out with.

The default prompt gives away the author's flavor ("a miniature city built from cardboard and bottle caps..."), which is fine - it's a good demonstration of the level of scene description the model rewards. And since there's no reference image to anchor the result, the prompt carries everything. 1080P at 3–15 seconds is a genuinely useful spec for short social content; that resolution tier is not something every resold video model offers at this price point.

How it works

Same cloud pipeline as every video node here - submit, poll, download, return. The standout knob is 执行方式: 同步 waits and downloads the finished clip before the workflow continues (fine for single test jobs), while 异步 submits the task and returns immediately with a 任务ID, letting you collect results later with the pack's async task node. The docs recommend async for long or batch runs, and that's the right instinct - T2V jobs at 1080P can sit in the queue for a while, and a synchronous node blocks your whole graph while it waits.

The inputs that matter

• 生成指令 - the only creative input. Be specific about subject, action, camera, and mood.
• 执行方式 - sync for tests, async for anything real.
• 清晰度 - 1080P default, 720P for cheap iteration.
• 画面比例 - 16:9, 9:16, 1:1 (the five choices cover the short-form ratios).
• 视频时长 - 3–15 seconds; longer = slower + pricier.
• 水印 - on/off.
• 随机种子 - fixed default for reproducibility.

Install and first run

cd ComfyUI/custom_nodes
git clone https://github.com/htrert/ComfyUI-Tikpan-Pro

Restart (or Manager → "Tikpan"), paste your sk- key, write a prompt, pick 720P and 5 seconds for the first run, and switch to async once you trust the setup. Nothing to download - the model lives on Tikpan's servers.

Common issues

The boring pack-wide trio applies (401 bad key, 402 empty balance, 429 calling too fast), plus the video-task staples: timeouts on long jobs (use 任务ID + the task-query node to recover instead of paying twice), money taken with no file (the 完整日志 tells you whether the render actually succeeded), and preview problems that are local - if the VIDEO tensor won't display but 本地保存路径 has a file, the clip is fine. Because there's no image anchor, prompt quality is your only lever: vague prompt, vague video.