Nodes/Comfyui-zhenzhen/Zhenzhen Grok3 Video
ComfyUI Node

Zhenzhen Grok3 Video

The Sora 2 stand-in that actually works

By T8mars·Created about a year ago·Updated 2 days ago· 740
Zhenzhen Grok3 Video
  • image1
  • image2
  • image3
  • image4
  • image5
  • image6
  • image7
  • video
  • task_id
  • response
  • video_url
prompt
modelgrok-video-3
ratio1:1
duration15
resolution1080P
api_key
seed0
skip_errorfalse

If you've been fighting Sora 2's constant 500s and capacity wall, the pack author has a recommendation you should actually listen to: ComflyGrok3VideoApi - the grok-video-3 node - is the Sora replacement they keep coming back to. The README is unusually specific about why: multi-shot generation, image-to-video with up to seven reference images, real-person mode, Chinese voiceover support, unlimited concurrency, and 10-second clips with audio. It's xAI's Grok video model, metered through the Zhenzhen relay, and it lands as a VIDEO tensor in your graph.

That seven-reference-image mode is the standout. It's a "multi-ref" workflow where you reference each image by name inside the prompt - @img1, @img2, up to @img7 - like the seedance-style multi-parameter videos. The node uploads your images and the model composes them into one scene.

The inputs that matter

  • prompt - the video prompt, including the @imgN references if you're using multiple images.
  • model - grok-video-3, fixed.
  • ratio - 2:3, 3:2, 16:9, 9:16, 1:1.
  • duration - 6, 10, or 15 seconds.
  • resolution - 480P, 720P, or 1080P.
  • image1image7 - reference images (for i2v / multi-ref).
  • seed, api_key, skip_error.

Outputs: video (VIDEO tensor → save node), task_id (the async handle), response, and video_url.

Install and key

cd ComfyUI/custom_nodes
git clone https://github.com/T8mars/Comfyui-zhenzhen

Restart, or ComfyUI Manager → "Comfyui-zhenzhen". Key from ai.t8star.org into api_key. Token-group note: Grok video rides the veo&grok groups on the site, so make sure your key has one assigned.

The parts that bite

Two things the README is honest about. First, Grok video content is filtered - NSFW is filtered out at the model level, so this won't be your unrestricted lane, "合规使用" (use it compliantly) as the author puts it. Second, the multi-ref @imgN prompt format is mandatory: plug in seven images and write a prompt that doesn't reference them, and you've wasted a run - the model needs the @img1...@img7 markers to know which image is which. Beyond that, standard pack rules: transient 500s re-run clean, the task_id lets you find results in the site's async list, and your prompts and reference images leave the machine. For short-form Chinese-dialogue video that doesn't require a Sora badge, this is genuinely the more reliable tool.

Categoryzhenzhen/Grok

Inputs (15)

NameTypeDefaultDescription
promptSTRING
modelCOMBOgrok-video-31 options: grok-video-3
ratioCOMBO1:15 options: 2:3, 3:2, 16:9, 9:16, 1:1
durationCOMBO153 options: 6, 10, 15
resolutionCOMBO1080P3 options: 480P, 720P, 1080P
api_keyoptSTRING
image1optIMAGE
image2optIMAGE
image3optIMAGE
image4optIMAGE
image5optIMAGE
image6optIMAGE
image7optIMAGE
seedoptINT00–2147483647
skip_erroroptBOOLEANfalse开启后,节点失败时不报错、按旧行为返回默认空结果;关闭时(默认)失败直接抛出错误。

Outputs (4)

NameTypeDescription
videoVIDEO
task_idSTRING
responseSTRING
video_urlSTRING