Create AI videos from GPT Image 2 source images, text prompts, or existing clips with Seedance 2.0 and Kling 3. Supports text-to-video, image-to-video, and video-to-video workflows.

Best for image-to-video, reference-rich prompts, camera direction, and cinematic motion.
Best for final assets, reference-guided edits, and image inputs for video.
Image-to-video quality usually depends on the source image more than on longer prompts. Clear GPT Image 2 storyboard frames, character sheets, product shots, and UI screenshots give the video stage stronger structure to follow.
Use one main person, one product, or one dominant focal point when possible to reduce ambiguity.
Set framing, subject placement, and motion direction in the image stage before moving into video.
Busy environments increase drift, deformation, and loss of focus during motion generation.
Matching aspect ratios and crops across assets helps reduce jumpy transitions and automatic reframing.
If you still need stronger storyboard frames, character sheets, product images, or UI screenshots, prepare them in GPT Image 2 first and then return to AI video.
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