Model report9 min read
MiniMax H3 Is Now Available on Yihook: Create 15-Second 2K Multimodal AI Videos
Text, image, video, and audio references in one model. MiniMax H3 generates up to 15 seconds at 2K with native stereo audio, now live on Yihook.
MiniMax H3 is now available on Yihook. As an omni-modal generation model, it supports text, image, video, and audio references and can generate videos up to 15 seconds long at up to 2K resolution with native stereo audio. It is designed for advertising, e-commerce, UGC, and branded content creation.
Core Capabilities of MiniMax H3
1. Unified Understanding of Text, Images, Video, and Audio
One of the most important advances in MiniMax H3 is its ability to understand multimodal context.
In a typical image-to-video workflow, the model generates motion from a single image and a text prompt. H3 can process multiple types of references at the same time and understand how each asset relates to the intended output.
For the shot below, the prompt is: “Follow the Hitchcock-style camera movement from reference video 1, make the person in image 2 sing, and use audio 3 as the vocal reference.”
| Input | ||
|---|---|---|
|
Video 1 |
Image 2 |
Audio 3 |
| Output | ||
For advertising, e-commerce, and branded content, this workflow more closely reflects how real creative production works. Commercial teams often already have product images, previous ads, brand guidelines, scripts, competitor references, and audio assets. H3 allows these existing materials to participate directly in video generation.
2. Up to 15 Seconds and 2K Resolution
MiniMax H3 can generate videos up to 15 seconds long at up to 2K resolution. The official open-weight version supports output durations from 4 to 15 seconds and multiple landscape and portrait aspect ratios.
H3 produces 2K output using In-context Regeneration.
Traditional super-resolution methods generally infer missing detail from a lower-resolution image. H3 instead reuses the original prompt, reference images, video, audio, and other multimodal context to regenerate the result at a higher resolution.
According to MiniMax's technical documentation, this method allows the model to reuse the original context and improve the rendering of small text, object textures, and fine visual details.
Detail retention is especially valuable for product ads, brand visuals, interface demonstrations, and videos containing text.
2K resolution example
3. Native Stereo Audio Generation
MiniMax H3 can generate native stereo audio together with the video.
Traditional AI video workflows often require separate steps for video generation, voice-over, music, ambience, and sound effects, followed by post-production compositing. H3 models audio and video together, allowing a single generation task to produce both visuals and sound.
The official MiniMax open-weight release provides 32 kHz stereo audio output and supports joint modeling of speech, sound effects, and music.
Native stereo audio example. Headphones are recommended.
This capability is well suited to:
- Product demonstrations with environmental sound
- Short narrative videos with dialogue
- Ads combining music and sound effects
- Cinematic brand films
- Social media videos
- Game concept videos
The final audio quality still depends on the prompt, language, scene complexity, and the generation parameters currently available on the platform.
4. Native Multi-Shot Modeling
MiniMax H3 includes native multi-shot modeling during pretraining.
Creators can describe the sequence, shot size, action, and transition for multiple shots in a prompt, enabling the model to understand several connected scenes within a single video.
| Input | Output |
|---|---|
|
Multi-shot generation helps AI video move beyond a single animated scene toward short-form storytelling with a beginning, progression, and ending.
It is useful for ad storyboards, product explainers, trailers, brand films, and social media content. However, as the number of shots increases, maintaining consistency across people, products, and environments usually becomes more challenging.
5. Video-to-Video Motion Transfer
MiniMax specifically highlights H3's V2V Motion Transfer capability.
Creators can use an existing video as a reference for movement, performance, or camera motion, then transfer those motion relationships to a new character, product, or visual setting.
| Input | |
|---|---|
Target Character and Scene Image |
Motion Reference Video |
| Output | |
For AI UGC, character performance, and short-form video ads, motion references reduce the uncertainty that comes with describing movement through text alone.
Potential applications include:
- Transferring live-action movement to a virtual character
- Reusing the pacing and camera rhythm of an existing ad
- Directing a specific character to perform a defined action
- Reusing product demonstration movements
- Applying a reference camera move to new visual content
When using a motion reference, clearly state how the source video should be used. For example, specify “reference body movement only,” “reference the camera movement without copying the person's appearance,” or “preserve the product design from the target image.”
6. Instruction Following for Commercial Content
MiniMax lists advertising, branding, e-commerce, product design, UI/UX, and gaming among H3's primary commercial applications.
According to MiniMax, H3 performs strongly in instruction following, text and brand presentation, multimodal editing, and video motion transfer.
| Film Title Sequence | Product Promotion |
|---|---|
| Brand Advertisement | Game UI |
Visual impact is only one requirement for commercial video. A model must also understand the product, brand elements, camera direction, requested actions, aspect ratio, and intended use.
H3's advantage is that teams can communicate creative intent through prompts and reference assets at the same time, reducing the information loss caused by relying on text alone.
Tips for Better MiniMax H3 Results
First, define the role of every reference asset. Do not simply upload multiple files; explain which asset controls the character, product, motion, or sound.
Second, be specific about consistency. For a product, describe its color, structure, materials, packaging, and logo. For a person, define the face, clothing, hairstyle, and physical characteristics that should remain consistent.
Third, break complex videos into individual shots. Describing the framing, action, timeline, and transition for each shot is generally more reliable than summarizing the entire story in broad terms.
Audio instructions should also be specific. Describe dialogue, ambience, action sound effects, and background music separately instead of writing only “add suitable sound.”
Finally, avoid adding too many conflicting references to a single generation. Multimodal input offers greater control, but it also increases the number of relationships the model must interpret.
MiniMax H3 Is Now Available on Yihook
Yihook has integrated MiniMax H3. You can now use the model for the following content workflows:
| Content Type | How to Use It | Best-Fit Channels or Value |
|---|---|---|
| E-commerce product videos | Upload product images, then describe the use environment, demonstration actions, camera movement, and visual style to turn static product assets into video. | Product pages, TikTok, Instagram Reels, YouTube Shorts, and paid advertising assets. |
| AI ad creatives | Generate multiple scenes, camera treatments, moods, and styles around the same product. | Quickly create studio, lifestyle, cinematic, and social-native variants for creative testing. |
| UGC-style short videos | Combine character references, scene descriptions, and action instructions to create videos resembling personal recommendations, product experiences, or talking-head content. | Expand the number of ad variants and creative directions available for the same product. |
| Brand visuals and concept videos | Use brand images, visual references, and text descriptions to generate animated posters, brand concepts, event teasers, and product-launch visuals. | Early-stage visual exploration, creative pitches, and brand communication. |
| Reference-based motion and camera generation | Upload reference assets, explain which actions, camera moves, or visual relationships should be retained, and generate a video with a new subject and setting. | Reduce uncertainty when directing motion and camera behavior through text alone, improving creative control. |
Go to Yihook and create your next AI video with MiniMax H3.
Ready to try it?
Put this playbook to workon your next piece.
Every prompt and workflow above runs as-is on the Yihook canvas. Start from a product shot or an idea, make the visuals and videos, and keep what works for your team.