Start & End Frame to Video AI Generator

Upload a start frame and an end frame — VideoFlux AI generates the complete video transition between them. Full cinematic control over your video's opening and closing shots.

Start Frame
End Frame
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What is Start and End Frame to Video

Start and end frame to video generation creates an AI video between two keyframes. You provide the first frame and the last frame, then VideoFlux generates the motion, transition, and intermediate frames that connect them into a coherent video clip.

START FRAME

Set the First Frame

The start frame defines how the video begins. It anchors the subject, composition, lighting, and opening visual state before the AI generates any motion.

END FRAME

Set the Final Frame

The end frame defines where the video should finish. This gives frame to video generation more control than a single image prompt because the ending is not left open.

TRANSITION PROMPT

Guide the Transition

Use a prompt to describe how the movement should happen between keyframes, including camera motion, pacing, subject action, mood, and cinematic style.

AI INTERPOLATION

Generate the In-Between Motion

VideoFlux fills the gap between the two frames with AI-generated motion, creating a video that starts and ends where you intended.

Why Use Start & End Frame to Video

Use start and end frame to video when you need stronger control over the opening, ending, and visual direction of an AI-generated video.

Control Both Ends of the Video

Instead of hoping the AI chooses the right final shot, you define both the beginning and ending frames for a more predictable AI video result.

Create Better Transitions

Frame to video generation is ideal for transformations, product reveals, before-and-after visuals, scene changes, and short cinematic transitions.

Useful for Product and Story Shots

Start with one product angle and end on another, or move from one story moment to the next while keeping the key visual beats under your control.

Reduce Random AI Output

Because the first and last frames are specified, the AI has clearer boundaries and less room to drift away from the visual direction you want.

How to Generate Video from Start and End Frames

Follow these steps to create a controlled AI video transition from two keyframes.

1

Open Frame to Video Mode

Sign in to VideoFlux and choose the start and end frame to video mode so the generator expects two keyframe images.

2

Upload Start and End Frames

Upload the image that should appear first and the image that should appear last. Use related visuals for the most coherent frame to video transition.

3

Add a Transition Prompt

Describe the camera movement, object motion, transformation, speed, or style you want between the two keyframes, then choose model and output settings.

4

Generate and Review the Motion

Generate the video, review how the AI connects the frames, and iterate with a clearer prompt or different keyframes if you want a smoother transition.

Key Features of Start and End Frame to Video

Core frame to video features for keyframe control, transition generation, and cinematic AI motion.

Dual Keyframe Control

Upload a start frame and an end frame to define the exact visual boundaries of the generated AI video.

AI Transition Generation

Generate the intermediate motion between keyframes instead of manually animating or editing the transition.

Prompt-Guided Motion

Use text prompts to guide camera movement, transformation style, pacing, subject motion, and overall mood.

Multiple Model Support

Choose from available AI video models that support start and end frame generation and compare transition quality.

Flexible Output Formats

Select duration, resolution, and aspect ratio for social media, product demos, website visuals, or creative previews.

Saved Generation History

All start and end frame to video generations are saved in your VideoFlux dashboard for download, comparison, and iteration.

Start & End Frame to Video FAQ

Answers to common start and end frame to video questions, keyframe tips, transition quality, and model support.