GPT Image keyframes + Seedance 2.5: a two-step workflow for controllable AI video
techhalla · x · 2026-09-15
A practical workflow for getting better, more controllable results from Seedance 2.5: first generate a high-quality still keyframe with GPT Image 2.5 (Flare), then feed that image into Seedance 2.5 for video generation — better input images yield better output.
The author shares a full structured prompt example (DIRECTIVE / SUBJECT / POV / BEAT) simulating a GoPro chest-mount first-person skateboarding frame, showing how to constrain the camera angle, subject details, and narrative beat to keep the video model on track.
Key takeaways:
- Upstream image quality directly determines the final video quality in image-to-video pipelines
- Sectioned prompts (directive / subject / POV / beat) improve controllability
- Useful for creators chasing cinematic consistency in short-form AI video
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