EvoLink Kling V3 Turbo Text-to-Video (Official)

Kling V3 Turbo is the budget lane of Kuaishou's Kling line, and EvoLink_KlingTurboT2V is its text-to-video node. It's the answer to "I want to try out Kling quality without committing to a 4K bill." The Turbo tier cuts the premium features - no sound generation, no negative prompt, no 4K, 1080p top - and in exchange runs faster and cheaper. For draft passes, prompt experiments, and any volume work, that trade is usually the right one.

It's also one of the simplest nodes in this pack, which is a feature: prompt, duration, aspect, quality, key, run.

The inputs that matter

• prompt (required) - shot and motion description, up to 2500 characters, Chinese-friendly.
• duration - 3–15 seconds, default 5, billed by duration.
• aspect_ratio - 16:9 (default), 9:16, or 1:1.
• quality - 720p (default) or 1080p. The tooltip is explicit: Turbo doesn't support 4K, so don't go looking for it.

Then the pack-standard api_key (fill once, saved locally, leave blank after) and timeout_seconds (1200).

How it works

The job posts to POST /v1/videos/generations as kling-v3-turbo-text-to-video, and the pack polls the task until the clip completes, showing a progress bar on the node. The finished video downloads to your machine as a VIDEO object - connect video to a native Save Video node to keep it. The full output set is video, task_id, status_info, result_urls (24h expiry), and response_json. Failed or blocked jobs don't charge; unchanged reruns reuse ComfyUI's cache. As with every video node here, the VIDEO output type needs a recent ComfyUI with comfy_api support.

Installing

No GPU, no model files - only requests:

cd ComfyUI/custom_nodes
git clone https://github.com/deeplearning-goethe/comfyui-evolink.git

then fully restart ComfyUI, or install via ComfyUI Manager by searching EvoLink. If the node's missing, check for a nested folder (the pack's __init__.py must sit directly in custom_nodes/comfyui-evolink/) and that you restarted the process, not just the browser tab.

Troubleshooting

The pack-wide error set applies: 401 bad key, 402 empty balance, 403 no model access, 429 rate limited. VPN users should whitelist api.evolink.ai and files-api.evolink.ai for direct connection. The realistic Turbo-specific thing to know is what it doesn't have: if a job needs sound or a negative prompt, this node won't grow those knobs - step up to the standard Kling V3 or O3 T2V nodes instead. And don't set quality expecting 4K; the model caps at 1080p and silently the tier just is what it is.