Keyframe-Drive Image-to-Video

A text-to-image model generates one or more keyframe stills that lock composition, character, and lighting; those stills are then fed into an image-to-video model to produce motion. The i2v model inherits the keyframe's identity rather than hallucinating from text alone, giving tighter control over subject appearance and scene layout.

Properties

family: image-to-video
modality: text -> image -> video
whyMultiModel: A single text-to-video model must simultaneously handle composition, identity, and motion; splitting the job lets a high-quality t2i model nail the still, then a separate i2v model concentrate on motion, preserving the still's identity in a way end-to-end t2v cannot.
steps: [object Object], [object Object]
controls: Seed consistency between t2i and i2v passes; motion prompt describing camera move or action; motion scale / CFG; clip duration.
exampleStack: ComfyUI KSampler + Character LoRA + IPAdapter (keyframe still) -> Kling API image-to-video (motion clip).
useCases: [AI influencer and character video content][Product reveal shots][Character animation from concept art][Social media motion graphics]
pitfalls: i2v models can drift from the keyframe under strong motion prompts; over-long clips degrade identity. Short (2-6 s) clips per shot recommended. Source image quality matters more than generation settings.
source: Apatero: AI Influencer Image to Video - Kling AI ComfyUI Workflow 2025

Provenance

Source: https://apatero.com/blog/ai-influencer-image-to-video-kling-ai-comfyui-workflow-2025

Keyframe-Drive Image-to-Video

Properties

family: image-to-video
modality: text -> image -> video
whyMultiModel: A single text-to-video model must simultaneously handle composition, identity, and motion; splitting the job lets a high-quality t2i model nail the still, then a separate i2v model concentrate on motion, preserving the still's identity in a way end-to-end t2v cannot.
steps: [object Object], [object Object]
controls: Seed consistency between t2i and i2v passes; motion prompt describing camera move or action; motion scale / CFG; clip duration.
exampleStack: ComfyUI KSampler + Character LoRA + IPAdapter (keyframe still) -> Kling API image-to-video (motion clip).
useCases: [AI influencer and character video content][Product reveal shots][Character animation from concept art][Social media motion graphics]
pitfalls: i2v models can drift from the keyframe under strong motion prompts; over-long clips degrade identity. Short (2-6 s) clips per shot recommended. Source image quality matters more than generation settings.
source: Apatero: AI Influencer Image to Video - Kling AI ComfyUI Workflow 2025

Provenance

Source: https://apatero.com/blog/ai-influencer-image-to-video-kling-ai-comfyui-workflow-2025