- MiniMax H3 prompt guide: Use ordered instructions for subject, action, camera, lighting, audio, and output.
- Multimodal inputs: Combine text with images, video references, and audio when the workflow requires stronger control.
- Prompt priority: Describe relationships between references instead of listing disconnected visual details.
- Output planning: Set duration, resolution, aspect ratio, and sound expectations before sending a generation request.
- Safety check: Confirm current model names, file limits, API pricing, and local-release status through official channels.
MiniMax H3 Prompt Guide: Core Workflow
MiniMax H3 prompt guide principles work best when a prompt reads like a compact production brief. Start with the main subject, define the action, then explain how the camera, environment, lighting, and sound should interact. This structure gives the model a clearer hierarchy than a loose collection of adjectives.
The supplied reference material describes a general-purpose multimodal workflow that can interpret text, images, video, and audio together. It also describes native 2K generation, synchronized stereo sound, reference-driven camera motion, and outputs designed for short-form creative production. Treat those capabilities as configuration-dependent and verify current availability before planning a large project.
Video Highlights:
- Multimodal prompts can connect a character image with a motion reference.
- Text instructions can define camera movement and audio relationships.
- The workflow targets visual consistency, synchronized sound, and cinematic composition.
- API access may require an account, an API key, and available credits.
The Five-Layer Prompt Order
A dependable prompt usually follows this order:
- Subject — Identify the person, character, product, or environment.
- Action — State what changes during the shot.
- Camera — Describe framing, movement, lens feel, and viewpoint.
- World and lighting — Define location, color, atmosphere, and light behavior.
- Audio and output — Explain speech, music, sound effects, duration, aspect ratio, and resolution.
| Prompt Layer | What to Specify | Useful Example |
|---|---|---|
| Subject | Identity, appearance, wardrobe, key features | A silver-haired singer in a black stage jacket |
| Action | Movement, emotion, timing | Sings toward the lens while turning slowly |
| Camera | Shot type, motion, perspective | Slow forward dolly with a centered medium shot |
| Environment | Location, depth, color, atmosphere | Dark concert hall with violet haze and cyan rim light |
| Audio | Voice, music, effects, mix | Clear lead vocal, restrained synth bed, subtle crowd ambience |
| Output | Duration, ratio, resolution | Five-second landscape shot at 16:9 and 2K |
Put non-negotiable details early. If the subject identity or camera movement matters most, describe those elements before secondary style details.
Build Prompts That Control Motion and Sound
The strongest prompts explain relationships, not just objects. Instead of writing “a singer, neon lights, moving camera, music,” describe how the singer performs while the camera moves and how the lighting responds to the performance. This gives the model a more coherent interpretation of the scene.
For reference-based generation, assign each input a clear role. An image can establish character identity, a video can guide camera motion, and an audio file can define vocals or ambience. The text prompt should then connect those references into one production instruction.
Reusable Prompt Formula
Use this template as a starting point:
Create a [duration] [shot type] featuring [subject] performing [action] in [environment]. Use [camera movement] from [starting viewpoint] to [ending viewpoint]. Preserve [identity or reference details]. Light the scene with [lighting and color]. Match [voice, music, or sound effects] to the visible action. Maintain [composition, aspect ratio, and output quality].
The following table separates the most important controls.
| Control | Recommended Direction | Common Mistake |
|---|---|---|
| Character identity | Repeat distinctive visual traits and wardrobe | Adding multiple conflicting descriptions |
| Camera motion | Use one dominant movement per short shot | Combining orbit, zoom, shake, and crane movement |
| Timing | Connect action to the beginning, middle, or end of the clip | Describing several events without sequence |
| Lighting | Specify source, color, intensity, and atmosphere | Using only broad style labels |
| Audio | Identify voice, music, ambience, and synchronization | Treating audio as an unrelated post-production step |
| References | State what each image, video, or audio file controls | Uploading files without assigning their purpose |
Example: Character Performance Prompt
Create a five-second cinematic performance shot of the reference character singing directly toward the camera. Preserve her facial features, hairstyle, and dark performance outfit. Follow the gentle forward camera movement from the reference video, keeping her centered in a medium shot. Use deep violet and cyan stage lighting with a soft haze behind her. Match the vocal timing to her mouth movement and add restrained stereo crowd ambience. Keep the composition clean, realistic, and suitable for a 16:9 landscape frame.
Example: Abstract Motion Prompt
Create a five-second infinite point-of-view loop traveling through a geometric tunnel made of receding golden triangular frames. Add layered pulsing pink, purple, and cyan neon light inside the structure. Keep the background as a deep dark void. Use smooth forward motion, stable perspective, strong depth, and clean repeating geometry. Add a subtle synchronized electronic atmosphere without overpowering the visual rhythm.
Short clips have limited time to express change. Too many subjects, movements, transitions, and audio events can compete for attention and reduce consistency.
Step-by-Step MiniMax H3 API Setup
The reference workflow uses an API-based process with an environment file and a Python request. The exact endpoint, model identifier, input limits, and pricing can change, so verify them in the current MiniMax platform documentation before implementation.
Define the Shot
Decide the subject, action, camera movement, duration, aspect ratio, resolution, and audio direction. Write the prompt as a single production brief before adding reference files.
Prepare Reference Inputs
Select an image for identity, a video for movement, or an audio file for sound direction. Use only the references that solve a specific control problem, and label their purpose clearly in the prompt.
Create a Protected API Key
Create an account through the official platform, generate an API key, and store it in a local environment file. Do not place the key directly in public code, screenshots, repositories, or shared project files.
Build the Generation Payload
Add the current model name, prompt, resolution, duration, aspect ratio, and supported input fields to the request payload. Confirm each parameter against the current API reference.
Submit and Review the Result
Send the request, record the task identifier, inspect the returned status, and review the final clip for identity, motion, audio synchronization, framing, and unwanted artifacts.
A practical request plan can be organized as follows:
| Stage | Input or Setting | Review Question |
|---|---|---|
| Prompt | Structured production brief | Is the main action unambiguous? |
| Identity | Character or product image | Are defining traits preserved? |
| Motion | Camera or movement reference | Does the motion have one clear direction? |
| Audio | Voice, music, or ambience | Does sound match the visible event? |
| Output | Duration, resolution, aspect ratio | Are the settings supported and affordable? |
| Response | Task ID and status | Did the request complete without an API error? |
The supplied material describes a sample configuration using a five-second duration, 2K output, and a 16:9 landscape format. It also reports an API cost of $0.13 per second for the demonstrated workflow. Because pricing and model availability are time-sensitive, confirm current rates and supported settings on the official platform before generating multiple variations.
Keep credentials in environment variables, rotate exposed keys immediately, and use a small test request before committing significant credits to a longer generation.
Choose the Right Generation Mode
A prompt alone is useful for concept exploration, but references become more valuable when a project needs consistent identity, movement, or sound. Select the simplest mode that provides the required control. Extra inputs can improve direction, but they also introduce more relationships that the model must interpret.
The reference workflow describes three broad approaches.
Text to Video
Best for concept tests, environments, abstract motion, title cards, and situations where exact identity is not essential.
Image-Guided Generation
Best for maintaining a character, product, costume, or composition while the prompt controls movement and scene development.
Reference Generation
Best for coordinated workflows using text, images, video, and audio to define identity, camera motion, performance, and sound together.
| Mode | Best Use | Control Strength | Preparation |
|---|---|---|---|
| Text only | Fast ideation and visual experiments | Moderate | Write a precise prompt |
| Image plus text | Character or product continuity | Strong identity control | Prepare a clear reference image |
| Video plus text | Camera or movement guidance | Strong motion control | Choose a stable movement reference |
| Audio plus text | Performance and sound direction | Stronger timing guidance | Use clean, relevant audio |
| Multiple references | Complex coordinated shots | Highest planning demand | Assign a purpose to every file |
When to Add More Inputs
Use an image when the subject must retain recognizable traits. Add a video when the camera path or physical motion matters more than a static composition. Add audio when singing, dialogue, or rhythmic synchronization is central to the scene.
Avoid adding a reference merely because it is available. A simple text prompt can be easier to debug than a multimodal request with unclear priorities.
Prompt Review Checklist:
- Name the primary subject and its defining traits
- Describe one dominant action and one primary camera movement
- Assign a clear role to every image, video, or audio reference
- Specify lighting, atmosphere, audio behavior, duration, and framing
- Confirm current API limits, model availability, and pricing before submission
Use the minimum number of references needed to control the shot. Clear roles produce more useful results than a large collection of loosely related files.
Troubleshooting and Prompt Refinement
Prompt refinement should be systematic. Change one major variable at a time, compare the result with the previous version, and keep a short record of what changed. This makes it easier to determine whether an issue came from the prompt, the reference material, or a generation setting.
| Problem | Likely Cause | Refinement |
|---|---|---|
| Subject changes identity | Identity description is too vague or references conflict | Repeat key traits and use one strong image reference |
| Camera feels unstable | Too many movement instructions | Keep one dominant camera path and simplify the shot |
| Audio does not match action | Timing relationship is not explicit | State when vocals, effects, or movement should align |
| Scene looks cluttered | Excessive style and environment details | Remove secondary objects and prioritize composition |
| Output format is wrong | Unsupported or incorrectly named parameters | Check the current API schema and supported values |
| Request fails | Missing key, invalid payload, or unsupported input | Validate environment variables, fields, file limits, and response status |
A Practical Iteration Loop
Begin with a five-second test and a single clear subject. Once identity and composition are acceptable, add a camera reference or audio layer. Only then experiment with more complex lighting, environmental motion, or multiple source files.
For cinematic prompts, prioritize:
- A stable subject position
- A clearly defined start and end state
- One main camera movement
- Simple color relationships
- Explicit audio synchronization
- A short duration for early tests
The reference material describes an architecture that compresses multimodal context before generation. That makes prompt clarity especially important: the model must interpret the relationship among the supplied inputs, not just process them as unrelated assets.
Q: What is the best structure for a MiniMax H3 prompt?
Use a production-brief order: subject, action, camera, environment, lighting, audio, references, and output settings. Put the most important constraints first.
Q: Should I use images, video, and audio in every request?
No. Use each reference only when it solves a specific control problem. Text is suitable for ideation, while image, video, and audio references add identity, motion, or timing guidance.
Q: What output settings should I test first?
A short landscape clip is a practical starting point. The supplied workflow uses five seconds, 2K resolution, and a 16:9 ratio, but confirm current support before submitting.
Q: Is local MiniMax H3 generation currently guaranteed?
No. The supplied material describes planned community model-weight availability and consumer-hardware compatibility, but release timing and hardware requirements should be checked through official announcements.
When a result is close, preserve the successful parts of the prompt and edit only one variable, such as camera speed, lighting color, or audio timing.