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MiniMax

MiniMax H3 Max Turbo

minimax-h3-max-turbo/image-to-video

MiniMax's speed-optimized video model, supporting text-to-video and image-to-video (with a specified first frame and an optional last frame), generating 1- to 15-second clips at 480P to 1080P per run, ideal for quickly producing marketing short videos and storyboard previews

Try minimax-h3-max-turbo/image-to-video

Input

Output

video
Fill in the parameters and run — results show up here.

Pricing

minimax-h3-max-turbo/image-to-video per second

Specifications Unit Price
480P $0.025
768P $0.040
1080P $0.080

Positioning Overview

Generates a video clip using a single image as the first frame, with the output canvas following the aspect ratio of the input image. It is suitable for developers who need to turn static images into dynamic short videos, and can be used for rapid social media content production, animated storyboard previews for advertising, or dynamic display of image assets. It supports an optional end-frame image to constrain the closing shot, and the generation result can be controlled through prompt, duration, and resolution parameters.

Core Highlights

  • First-frame-driven generation — Upload an image as the first frame; the output video canvas follows that image's aspect ratio, keeping the starting composition consistent.
  • Optional end-frame constraint — Provide an additional end-frame image to converge the video's final shot toward the specified image, ideal for transitions or freeze-frame endings.
  • Adjustable duration and resolution — Each generation can last from 1 to 15 seconds, with a choice of 480P, 768P, or 1080P resolution.
  • Controllable and reproducible seeding — Fix the random seed via the seed parameter, making it easy to reproduce or fine-tune the same visual direction across batch generations.

Capability Description

First-frame image-to-video: Specify the first-frame image via image_url and combine it with a prompt to generate a dynamic video. The output canvas follows that image's aspect ratio, making it suitable for turning static images into dynamic clips.

End-frame constraint: On top of providing a first frame, you can additionally pass end_image_url as the end frame, so the video's final shot moves toward the specified image, for use in transitions or freeze-frame shots.

Duration and resolution control: duration can be set between 1 and 15 seconds, and the actual output may be about 0.7 seconds longer than requested; resolution offers a choice of 480P, 768P, or 1080P, where 1080P is an upscaled and refined output based on native 768P generation.

Prompt expansion adjustment: prompt_expansion_mode can be set to disabled, balanced, or quality, which respectively skip expansion, return quickly, or spend about 30 seconds generating a richer prompt, helping control generation details.

Use Cases

  • Social media image animation — Operations teams use product images or posters as the first frame, paired with a short prompt to quickly generate dynamic short videos for social platform publishing or feed assets.
  • Animated storyboard previews for advertising — Advertising or film pre-production teams use keyframe images plus an end-frame image to generate transition clips as animated storyboard previews for internal pitches or shooting references.
  • Turning image assets into video clips — Content creators use photographic works or illustrations as the first frame to generate several-second dynamic shorts for portfolio showcases or transition shots in video editing.
  • Freeze-frame ending shot production — Use two images, first frame and end frame, to constrain the start and end of the shot, generating a short clip that transitions from the starting image to the specified ending image, for opening or closing freeze-frame effects.

Limitations and Selection Advice

The first-frame image image_url is required; text-only input generation is not supported. The end-frame image is an optional constraint, and the video is not guaranteed to converge precisely to that image. When resolution is set to 1080P, the output is an upscaled and refined result based on native 768P generation, not native 1080P generation. duration is set from 1 to 15 seconds, and the actual output may be about 0.7 seconds longer than requested. The prompt can be up to 50,000 characters, and the image link can be up to 50,000 characters. Generation results are not guaranteed to keep characters absolutely consistent or reproduce the image precisely.

  • New model MiniMax H3 Max Turbo is live: text-to-video and first/last-frame image-to-video

Frequently asked questions

View all FAQs →
  • Is the 1080P of this model natively generated?

    No, it is not native generation—1080P is obtained by latent-space refinement from a 768P source; the highest tier natively generated by the model is 768P. If you have strict requirements for image detail, it is recommended to evaluate based on native 768P generation, or switch to a tier that supports 2K masters.

  • Can image-to-video use reference images to lock in a character?

    Currently, reference-image-to-video is not supported. image_url is used only as the starting frame, and the generated canvas will follow this image; you cannot use reference images, reference clips, or audio to lock in the character and style. For scenarios that require character consistency, you should switch to a tier that supports reference-image-to-video.

  • How should the first and last frames be set to control where the camera ends up?

    Use image_url to specify the first frame and the optional end_image_url to specify the last frame; the model will interpolate motion between the two. The first frame determines the entire output canvas, so the last frame's composition and aspect ratio should closely match the first frame; otherwise, the interpolation is prone to distortion.

  • Can the generated video be longer than 15 seconds?

    A single generation can be at most 15 seconds long; it cannot produce a longer clip in one go. The actual output may be about 0.7 seconds longer than the duration you specify. If you need a longer final video, generate it segment by segment and then stitch the segments together.

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