Kling O1: Precision Video-to-Video Editing & Scene Consistency on playground and API | RunComfy

Kling O1 allows video-to-video generation and editing under a license that typically follows an Open RAIL-style non-commercial or limited-commercial framework. Using Kling O1 through RunComfy does not override or bypass the original license. Always verify the official Kling O1 license before applying generated outputs in paid or brand-affiliated projects.

Kling O1 is distributed under the original license specified by Kuaishou Technology (currently aligned with an Open RAIL-like model). When using Kling O1 video-to-video capabilities via RunComfy, users must still comply with the model’s terms. RunComfy’s hosting only provides managed access and does not transfer or extend commercial rights.

RunComfy’s managed infrastructure distributes Kling O1 video-to-video requests across multiple cloud GPUs, ensuring low latency and stable throughput for concurrent users. Local runs of Kling O1 may require A100-class GPUs and are not recommended for high-volume workloads. The platform maintains dynamic scaling to balance efficiency and responsiveness.

Yes. Kling O1 enforces maximum output resolution up to 1080p and supports video durations roughly between 3–10 seconds per generation cycle. Up to 10 reference images or short clips can be used for video-to-video consistency. Prompt token limits align with the RunComfy API cap, which currently allows around 1000 characters per request.

To migrate Kling O1 video-to-video workflows, first finalize prototype results in the RunComfy Playground. Afterward, obtain an API key and replicate your configuration via the RunComfy REST or Python interface. The API offers the same output fidelity as the web interface but allows integration into scripts, CMS pipelines, or app backends.

Kling O1 unifies generation and editing within one multimodal engine, improving consistency of characters and scenes. Compared with prior models, Kling O1 video-to-video excels at handling scene continuity, start/end-frame control, and reference-based identity preservation. This reduces content drift often seen in earlier text-to-video systems.

Technically yes, but running Kling O1 video-to-video locally demands high-end GPUs (A100/RTX 4090 or higher) and substantial VRAM. RunComfy’s managed environment handles GPU provisioning, batching, and automatic checkpoint updates, making it more efficient and reliable for most users.

All Kling O1 video-to-video generations on RunComfy are processed using cloud GPUs. Users spend platform ‘usd’ credits per render. New accounts receive trial usd, which can be replenished through the billing menu. No local hardware resources are consumed when using the web or API services.

If Kling O1 video-to-video generation fails, verify prompt complexity, reduce reference inputs, and ensure network stability. Occasionally high busyness or quota limits may cause task timeouts. Contact hi@runcomfy.com for assistance, providing your task ID and configuration for support escalation.