Popular Lesson
Identify where to find and activate Kling’s image-to-video feature
Upload an image as the basis for your video creation
Select between different video models (1.6 and 2.0) and understand their differences
Choose key options for start, end, or both frames in the animation
Select essential generation settings such as quality, duration, and creativity level
Generate your first video clip with Kling using default prompts
This lesson introduces the process of turning a single image into a moving video clip with Kling’s image-to-video tool. After setting up your account, you can begin experimenting with how a still image can be animated using AI. Unlike simple text-to-video tools, which generate motion entirely from a description, image-to-video starts with your chosen image and builds animation forward (or backward) from that visual reference.
Understanding the right tools and settings is important to maximize Kling’s capabilities. There are various options, like choosing the animation’s starting or ending frame and selecting between video generation models (such as 1.6 or 2.0). Which model you use impacts quality, speed, and credit use. This lesson covers how to make these choices efficiently, depending on whether you want a simple scene or something more complex.
If you’re making movie clips, creative shorts, or animating artwork, knowing how to get your first result out of Kling is an essential building block. This skill unlocks more advanced creative control in later lessons, where you’ll guide movement with prompts or combine multiple assets.
If you want to animate images using AI, this lesson is designed for you. You’ll find it relevant if you are:
Using Kling’s image-to-video feature is often the first technical step after preparing your source artwork or film assets. You’d typically use this tool when:
For example, if you have a character design or key scene illustration, this lesson covers how to generate an initial movement draft. In creative workflows, this step quickly produces animated material to refine or prompt further edits, speeding up the early stage of movie-making with AI.
Historically, animating a still image required manual frame-by-frame edits or complex software. Kling’s image-to-video tool simplifies this, letting you animate from an uploaded picture with a few option selections. Compared to making animation from scratch, this method:
Whether you’re developing concept clips for a pitch or building out full scenes, Kling’s image-to-video cuts down technical barriers and accelerates experimentation with AI-generated animation.
Try the image-to-video process with your own material:
Reflect: Did the animation match your expectations, or was it limited in motion? Consider how guiding the tool with a custom prompt (covered next) might help shape the scene more deliberately.
This lesson marks your first real animation work in Kling, following account setup and asset preparation. Previously, you learned how to organize your material and understand Kling’s available tools. In this lesson, you’ve made your first animated clip from a static image using default settings. Next, you’ll learn how to guide your animation more intentionally using prompts for finer control. Keep progressing through the course to master every step of AI-powered moviemaking with Kling.