Nodes/comfyui-evolink/EvoLink Kling O3 Image-to-Video (Official)
ComfyUI Node

EvoLink Kling O3 Image-to-Video (Official)

4K image-to-video with a first and last frame

By deeplearning-goethe·Created 24 days ago·Updated a day ago· 0
EvoLink Kling O3 Image-to-Video (Official)
  • first_frame
  • last_frame
  • video
  • task_id
  • status_info
  • result_urls
  • response_json
prompt
duration5
aspect_ratio16:9
quality720p
soundoff
api_key
timeout_seconds1200

Kling O3 is Kuaishou's newest generation of video model, and EvoLink_KlingO3I2V is its image-to-video entry in this pack. It's the full-featured one: up to 4K output, optional last frame, per-model aspect ratio, and sound generation - a capability the cheaper Kling tiers drop. If you've got a strong reference image and want a high-end animated result rather than a draft, this is the Kling node to reach for.

The inputs that matter

  • first_frame (required) - the IMAGE input that starts the clip. It must be at least 300px on each side with a width:height ratio between 1:2.5 and 2.5:1, per the tooltip. Square or near-square frames sit safest in that range.
  • prompt (required) - shot and motion description, up to 2500 characters, Chinese-friendly.
  • last_frame (optional) - a second IMAGE input. Connect it and the model animates from the first frame to the last, which is the classic first/last-frame trick for controlled endings.
  • duration - 3–15 seconds, default 5, billed by duration.
  • quality - 720p (default), 1080p, or 4k.
  • aspect_ratio - 16:9 (default), 9:16, or 1:1.
  • sound - off (default) or on. Generated sound effects; on the standard O3 node this is available (unlike Turbo).

Then api_key and timeout_seconds (1200).

How it works

Your frames upload through EvoLink's file channel (auto-deleted after 72h, no third-party host), the job posts to POST /v1/videos/generations as kling-o3-image-to-video, and the pack polls until the clip completes, downloading it as a VIDEO object. Wire video into a native Save Video node. The other four outputs - task_id, status_info, result_urls (24h expiry), response_json - are the pack-wide standard.

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 nodes don't appear, check the pack isn't nested two folders deep.

Troubleshooting

The pack-standard error set (401/402/403/429) and the VPN note - whitelist api.evolink.ai and files-api.evolink.ai. The Kling-specific gotchas: respect the first-frame minimum size and ratio - the API rejects frames outside 1:2.5 to 2.5:1, and the error you get back may not say "resize your image" in so many words. And remember 4K costs meaningfully more per run than 1080p; for drafts, 720p is the sane default. Also be aware the video output needs a recent ComfyUI with comfy_api VIDEO support.

CategoryEvoLink

Inputs (9)

NameTypeDefaultDescription
promptSTRING镜头/画面描述,支持中文,最长 2500 字符。多分镜等高级用法见 evolink.ai/docs。
first_frameIMAGE首帧图(必接);宽高≥300px,比例 1:2.5~2.5:1
durationoptINT53–15视频时长(秒),3~15 任意整数,按时长计费
aspect_ratiooptCOMBO16:9画幅比例
qualityoptCOMBO720p分辨率
soundoptCOMBOoff生成音效
last_frameoptIMAGE尾帧图(可选)
api_keyoptSTRINGEvoLink API Key(sk- 开头)。首次填写后自动保存到本机配置,之后可留空。分享工作流前请清空此框。获取:evolink.ai/dashboard/keys
timeout_secondsoptINT120060–3600最长等待时间;生成失败或审核拦截的任务不扣费

Outputs (5)

NameTypeDescription
videoVIDEO生成结果(已下载落地,可直连保存节点)
task_idSTRINGEvoLink 任务 ID,可到 evolink.ai/zh/dashboard/logs 查询
status_infoSTRING人读状态摘要(模型/用时/消耗 credits)
result_urlsSTRING结果原始链接,每行一个(24 小时过期)
response_jsonSTRING平台 GET /v1/tasks/{id} 的完整 JSON 响应(status/usage/results 等),供下游节点解析