Turn Your First Image into a Video with APIXO

Image-to-video starts with a still picture and adds motion around it. For your first video with APIXO, keep the task small: one clear subject, one short shot, and one intended movement. You can use a product photo, an illustration, or a scene you have already composed.

The workflow: prepare your image, choose an image-to-video model, describe the motion, check the selected settings and price, then generate and review. A useful first result is a clip that preserves the important parts of your image while showing the action you intended.

1. Choose a clear starting image

Decide where the clip will go before choosing the image. A product teaser might need room for a headline; a vertical social post might need the subject near the center. Write down what must remain recognizable: the silhouette of a shoe, the shape of a bottle, or the face of a character.

For a manageable first attempt, choose an image with:

• One main subject and a readable background.
• Enough space around the subject for the movement you want.
• A composition close to your intended final framing.
• No essential detail that is already blurry or cropped out.

Use an image you have permission to use. If the photo includes a person, make sure the intended use is appropriate for their consent and the context of the image.

Treat crop and composition as preparation. Some models expose aspect-ratio controls only in text-to-video mode. For example, APIXO's Kling 2.5 Turbo Pro page (https://apixo.ai/models/kling-2-5-turbo-pro) describes image-to-video from a starting image, with an optional ending image, and distinguishes its framing controls from text-to-video.

2. Select an image-to-video model

Open the APIXO AI Generator (https://apixo.ai/ai-generator). Choose a video model that supports an image-to-video workflow, then add your starting image using that model's image input. Sign in if the workspace asks you to.

Check the selected model's page before assuming it supports a particular duration, sound option, or reference input. A model family can contain several versions with different controls. The name of the family alone does not tell you which version you are using.

One documented example is Kling 2.5 Turbo Pro (https://apixo.ai/models/kling-2-5-turbo-pro). APIXO documents a required prompt, a starting image, and a choice of 5 or 10 seconds for this route. It also accepts an optional tail frame. You do not need the tail-frame workflow for this first exercise.

This is an example of a compatible workflow, not a recommendation based on a comparison test. If you use a different model, follow the options shown for that model rather than copying these settings.