Refine Reference Images with AI
Upload an existing visual, explain what should change and what should stay, then create a new version for a campaign, concept, or Kling Motion AI image-to-video workflow.
What this workflow gives you
Practical controls and model-specific capabilities for refine reference images with ai inside Kling Motion AI.
Change the image with words
Adjust the setting, mood, lighting, styling, or composition with a prompt while using the uploaded image as visual guidance.
Build from multiple references
Combine the supported number of source images for the selected model to guide subject, style, composition, or product consistency.
Match model to edit
Choose Nano Banana, GPT Image, or Flux according to the fidelity, speed, typography, detail, and reference control the task requires.
Prepare a video-ready frame
Create the opening composition you want, then move the result into image-to-video and describe how the camera and subject should move.
Plan your credit use
Compare Kling Motion AI plans and one-time credits before choosing a model and output setting.
Before you generate
Questions about this Kling Motion AI workflow
Refine your next reference frame
Upload an image, describe the change precisely, and generate a new version in Kling Motion AI with your available credits.