Produces a short MP4 from a single PNG/JPG using ffmpeg's zoompan
filter, so a downstream merge step still has a clip for every shot when
an upstream AI video generation step gets blocked.
seedance-2-prompt (and any platform-moderated video model) can refuse
individual requests for reasons that have nothing to do with the
prompt's narrative quality:
In meta-short-drama we always have a fresh PNG on disk before the
seedance call runs, so the cheapest "the show must go on" fallback is to
turn that PNG into a Ken-Burns clip and feed it to the merger. The clip
won't have the camera motion the prompt asked for, but the character,
framing, and timing will still match the script.
with:)| key | required | default | notes |
|---|---|---|---|
input_image |
yes | — | PNG or JPG path. |
output_path |
yes | — | Output .mp4 path. Parent dir created if missing. |
duration |
no | 5 |
Clip length in seconds. |
width |
no | 720 |
Output width. Match the merge step's pipeline. |
height |
no | 1280 |
Output height. 720x1280 = 9:16. |
fps |
no | 24 |
Output frame rate. |
zoom_rate |
no | 0.0015 |
Per-frame zoom delta; 0.0015 over 5s ≈ 1.18× final zoom. |
+faststart MP4 (web playback friendly)--ffmpeg-path directly).On Windows the script also probes the winget Gyan.FFmpeg install path,
Scoop, Chocolatey, and C:\Program Files\ffmpeg\bin before giving up.
on_failure substituteIn a meta-skill DAG, hang it off the real video step:
- id: shot1_video
kind: skill_exec
skill: seedance-2-prompt
on_failure: shot1_video_fallback
with: { ... }
- id: shot1_video_fallback
kind: skill_exec
skill: video-still-animator
with:
input_image: "{{ inputs.workspace_dir }}/.../1_shot.png"
output_path: "{{ inputs.workspace_dir }}/.../1_shot.mp4"
The fallback must be a standalone step (no depends_on, no own
on_failure) per the meta-skill engine rules. The PNG must already
exist on disk by the time the parent step fails — that's true here
because the image step always runs before the video step.
zoompan filter syntax; install ≥ 5.