MiniMax H3 Local Guide · Verified Aug 23, 2026

Run MiniMax H3 Locally: GPU, VRAM & Hardware Checker

MiniMax H3-Base can run locally, but there is no single official minimum VRAM number that applies to every workflow. Practical requirements depend on GPU architecture, VRAM, system RAM, model format, operating system, resolution and offloading. Check your hardware first, then choose the local or hosted H3 route that fits your setup.

Direct answer 01

Can MiniMax H3 Run Locally?

Yes. MiniMax H3-Base can run locally. MiniMax officially releases separate BF16 FL2VA and Ref2VA checkpoints and documents local deployment through frameworks including SGLang, vLLM, Diffusers and ComfyUI. MiniMax does not publish one universal consumer VRAM minimum for every H3 workflow. Local H3-Base is used to reproduce the base 768p generation stage, while the complete official 2K workflow also uses H3-Context-IR and H3-Regenerate-2K. See what parts of MiniMax H3 are actually open.

Official source · MiniMax-AI / MiniMax-H3 · Verified Aug 23, 2026

Evidence snapshot

MiniMax H3 Local — Key Facts

MiniMax H3 local key facts
FactCurrent answerEvidence
Can H3-Base run locally?YesOfficial
Official local checkpoint familiesFL2VA and Ref2VAOfficial
Original released checkpoint precisionBF16Official
Base local validation target768pOfficial
Local frameworksSGLang, vLLM, Diffusers, ComfyUIOfficial
Universal official consumer VRAM minimumNot publishedOfficial
16GB consumer GPU workflowReproducibly measured on one RTX 5070 Ti setupCommunity measured
8GB consumer GPU workflowNot verified in the current evidence setCommunity status
Full official 2K stack completely local/openNoOfficial

Six citation-ready answers

MiniMax H3 Local — Quick Answers

Resource model

MiniMax H3 Model Size vs VRAM vs System RAM

Model File Size

The amount of storage occupied by a checkpoint and its supporting model components.

GPU VRAM

Memory used by GPU-resident weights, activations, latent tensors and other generation data.

System RAM

Host memory used for model components that are loaded, staged or offloaded outside GPU memory.

These numbers are related but not interchangeable. A MiniMax H3 checkpoint larger than available VRAM can sometimes run through offloading, while a checkpoint smaller than the GPU's VRAM can still exceed the final runtime memory budget once activations, VAE components and other generation data are included.

A 20GB model file does not mean MiniMax H3 only needs 20GB of VRAM.

Release boundary

Official MiniMax H3 vs Optimized Local Builds

Official MiniMax H3 Release

  • H3-Base FL2VA
  • H3-Base Ref2VA
  • BF16 checkpoints
  • SGLang
  • vLLM
  • Diffusers
  • ComfyUI deployment support
  • 768p H3-Base validation

Optimized / Community Ecosystem

  • INT8
  • INT8 ConvRot
  • NVFP4 ecosystem components
  • GGUF
  • CPU offloading
  • low-memory ComfyUI workflows
  • cache optimizations
  • attention optimizations

Optimized INT8 and GGUF routes can make MiniMax H3 more practical on consumer hardware, but they are not the precision of MiniMax's original released BF16 checkpoints. Always distinguish the official H3 release from optimized ecosystem variants.

Conservative routing matrix

MiniMax H3 Hardware Decision Snapshot

MiniMax H3 hardware decision snapshot
Your setupCurrent guidanceBest first routeConfidence
RTX 5090 · 32GBStrong VRAM headroomOptimized local H3Practical inference
RTX 4090 · 24GBStrong consumer targetOptimized local H3Practical inference
RTX 5070 Ti · 16GB · LinuxReproducibly demonstratedVerified optimized ComfyUI pathCommunity measured
Other 16GB NVIDIA GPUPossible, architecture-dependentVerify exact optimized routeExperimental
10–12GB NVIDIAEvidence limitedAggressive optimization onlyExperimental
8GB NVIDIANot reproducibly verifiedHosted H3 recommendedUnverified
Apple SiliconRuntime-specificVerify exact Apple runtimeExperimental
AMD consumer GPUEvidence fragmentedFramework-specific validationExperimental
CPU onlyNot practical for normal generationHosted H3Not recommended

This matrix is deliberately conservative. “Possible” and “recommended” are not the same thing. pikah3.org only labels a hardware route as measured when a reproducible configuration exists in the current evidence set.

Answer index

Jump to Your Question

Interactive decision tool

Can Your PC Run MiniMax H3?

Choose your hardware and target workflow. This checker combines official MiniMax H3 information with clearly labeled measured evidence and conservative practical guidance. It is a decision tool, not an official MiniMax hardware certification.

Platform

Your configuration result appears here

Choose your platform, memory, storage and workflow, then run the evidence-based check. No synthetic score is generated.

Evidence ledger

MiniMax H3 Local Hardware Evidence

MiniMax H3 local hardware evidence ledger
EvidenceHardwareEnvironmentWorkflowSettingsMeasured ResultEvidence Type
Official H3-Base local deploymentNo universal consumer minimum specifiedSGLang / vLLM / Diffusers / ComfyUIFL2VA / Ref2VAOriginal BF16 checkpoints · 768p local validationOfficial BF16 H3-Base local deployment availableOfficial
RTX 5070 Ti 16GB measurementRTX 5070 Ti · Blackwell · 16GBLinux · ComfyUI · NVMeFL2VA optimized local workflow30 seconds · 640×480 · optimized INT8/ConvRot-style workflowApproximately 12.2–15.3 GiB measured GPU-memory peak in the documented 30-second 640×480 test rangeCommunity measured
16GB higher-resolution short testRTX 5070 Ti · 16GBLinux · ComfyUI · NVMeFL2VA optimized local workflow5 seconds · 1344×768Approximately 14.1 GiB measured GPU-memory peakCommunity measured
Host-memory behaviorSame 16GB test platformLinux · ComfyUI · NVMeOptimized local workflow with offloadingDefault and fast-disk memory behavior comparedApproximately 45.4 GiB resident application memory documented in one configuration; fast-disk behavior can shift more pressure toward file cache and NVMe storageCommunity measured
8GB status8GB classNo reproducible physical 8GB configuration in this evidence setMiniMax H3 local generationCurrent evidence registryNot verified by the current detailed reproducible measurement sourceUnverified

Do not convert one benchmark into a universal MiniMax H3 requirement. A measured memory peak only describes the specific hardware, model files, software stack, resolution, duration and optimization settings used in that run.

Direct answer 08

How Much VRAM Does MiniMax H3 Need?

MiniMax does not publish one universal minimum VRAM requirement for MiniMax H3. Current consumer hardware evidence shows that an optimized H3 workflow can run on a measured 16GB RTX 5070 Ti setup, but that result depends on specific optimized model files, GPU architecture, software, operating system, offloading and storage. Treat measured configurations as evidence for specific setups rather than official minimum specifications.

Architecture matrix

Why GPU Architecture Matters for MiniMax H3

Two GPUs with the same VRAM capacity can behave differently with MiniMax H3. Low-precision kernels, software support, memory bandwidth and optimization paths differ between Blackwell, Ada and Ampere generations. The strongest current 16GB measurement comes from a Blackwell RTX 5070 Ti, so that result should not be treated as proof that every 16GB NVIDIA GPU will behave identically.

Blackwell — RTX 50 Series

Strongest current low-VRAM measured evidence

Ada — RTX 40 Series

Strong consumer platform, but Blackwell-specific assumptions should not be transferred automatically

Ampere — RTX 30 Series

Quantized and offloaded routes may work, but verify the exact precision and software path

Direct answer 09

Can MiniMax H3 Run on 8GB VRAM?

There is not enough reproducible evidence to recommend 8GB VRAM as a practical MiniMax H3 target today. The current detailed low-memory evidence leaves 8GB unverified rather than demonstrating the tested H3 workflow on a physical 8GB GPU. Low-memory techniques may continue to improve, but pikah3.org should not present 8GB as a verified or official H3 requirement until a reproducible end-to-end configuration exists.

Not yet verified

Direct answer 10

Can MiniMax H3 Run on 16GB VRAM?

Yes. MiniMax H3 has been reproducibly measured on a 16GB RTX 5070 Ti using an optimized ComfyUI workflow. In the published test, GPU memory peaked at roughly 12.2–15.3 GiB for a 30-second 640×480 job, while a 5-second 1344×768 run reached about 14.1 GiB. This proves that a specific 16GB setup can work, but it does not make 16GB an official or universal MiniMax H3 minimum.

Community measured

The measured GPU is Blackwell-based. Do not automatically assume an older 16GB GPU will behave identically.

Direct answer 11

Can an RTX 4090 Run MiniMax H3?

A 24GB RTX 4090 is a strong practical candidate for optimized MiniMax H3 workflows, but MiniMax does not designate the RTX 4090 or 24GB as an official minimum. Reproducible H3 measurements already exist below a 24GB VRAM budget on another GPU architecture, so a 4090 provides considerably more memory headroom than the measured 16GB case. Actual behavior still depends on precision, RAM, workflow, resolution and offloading.

Practical inference — not a direct 4090 benchmark

pikah3.org treats RTX 4090 suitability as a practical hardware inference unless a controlled, first-party matched benchmark is attached.

Direct answer 12

Can an RTX 5090 Run MiniMax H3?

A 32GB RTX 5090 offers strong VRAM headroom for current optimized MiniMax H3 consumer workflows. Its memory capacity is substantially above the reproducibly measured 16GB configuration, but MiniMax does not publish 32GB or the RTX 5090 as an official requirement. System RAM, workflow complexity, model precision and offloading can still affect the final result even when GPU VRAM is plentiful.

Practical inference — not a universal requirement

Community reports must remain separate from controlled benchmark claims. High VRAM capacity alone does not determine H3 generation speed.

Direct answer 13

How Much System RAM Does MiniMax H3 Need?

MiniMax H3 does not have one official system-RAM minimum for every local workflow. In one measured 16GB-GPU configuration, application memory reached about 45.4 GiB before more aggressive fast-disk behavior was used. Offloading can shift pressure between GPU VRAM, host memory and storage, which is why system RAM should be evaluated together with the complete deployment strategy.

32GB RAM

Experimental / heavily optimized territory

pikah3.org practical guidance — not official minimum

64GB RAM

More practical consumer-offloading headroom

pikah3.org practical guidance — not official minimum

96GB+ RAM

Strong host-memory headroom

pikah3.org practical guidance — not official minimum

Direct answer 14

Does SSD Speed Matter for MiniMax H3?

SSD performance can matter when a MiniMax H3 workflow relies heavily on offloading. Low-memory configurations may move model components between storage, system RAM and GPU memory instead of keeping everything resident on the GPU. The measured 16GB setup used NVMe storage and documented a fast-disk approach that shifted more pressure toward file cache and storage. This does not mean every H3 workflow requires NVMe, but storage can become part of the memory strategy.

Low VRAM can move the bottleneck from GPU memory to RAM and storage bandwidth.

Task-family matrix

FL2VA vs Ref2VA: Which Is Easier to Run Locally?

MiniMax H3 FL2VA versus Ref2VA local workflow matrix
FactorFL2VARef2VA
Text-to-videoYesNo
First frame conditioningYesSupported as reference context
First + last frameYesReference-driven
Reference imagesLimited frame conditioningYes
Reference videoNoYes
Reference audioNoYes
Workflow complexityLowerHigher
Recommended first hardware testYesAfter basic local validation

FL2VA is the better first local validation workflow for most MiniMax H3 users. Ref2VA accepts richer multimodal reference inputs including images, video and audio, which increases workflow complexity. Validate your local H3-Base installation, memory configuration and decoding path with FL2VA before assuming a borderline machine will handle a demanding Ref2VA workflow.

Format answer

What Is MiniMax H3 INT8?

MiniMax H3 INT8 refers to optimized lower-precision H3 components used to reduce deployment memory compared with the original BF16 release. Optimized INT8 and INT8-ConvRot style files are used in the broader H3 ecosystem to make consumer-GPU deployment more practical. They should not be described as the precision of MiniMax's original released H3-Base checkpoints.

Best for consumer NVIDIA GPUsUseful for optimized ComfyUI workflowsReduces memory pressure
See H3 Model Downloads

Format answer

What Is MiniMax H3 GGUF?

GGUF is a community quantization route for running MiniMax H3 with flexible memory and offloading strategies. GGUF can be useful for memory-constrained local experiments, but it is not the format of MiniMax's original BF16 H3-Base release. Compatibility depends on the exact conversion, loader, ComfyUI implementation and GPU architecture, so do not assume that every MiniMax H3 GGUF file works with every standard workflow.

Do not automatically choose GGUF only because your GPU has less VRAM. Use the currently validated route for your exact loader and GPU architecture.

Deployment matrix

MiniMax H3 INT8 vs GGUF

MiniMax H3 INT8 versus GGUF deployment matrix
FactorINT8 / ConvRotGGUF
Main goalOptimized lower-precision deploymentFlexible quantized deployment
Original official BF16 checkpointNoNo
Strongest current 16GB evidenceYesNot the primary measured path
ComfyUI pathStrongLoader-dependent
CPU offloadingYesYes
Best starting useCurrently validated optimized workflowsMemory-constrained experimentation when explicitly supported

Choose the workflow with the strongest evidence for your actual hardware rather than selecting INT8 or GGUF from VRAM alone. GPU architecture, loader compatibility, system RAM, storage and operating system can matter as much as the quantization label.

2K reality check

Can MiniMax H3 Generate 2K Fully Locally?

The complete official MiniMax H3 2K workflow is not a fully local open-weight pipeline today. MiniMax defines the full system as H3-Context-IR → H3-Base → H3-Regenerate-2K. H3-Base can be deployed locally and is used for the base 768p generation stage. The official complete 2K workflow also depends on H3-Context-IR and H3-Regenerate-2K platform stages.

H3-Context-IR

Official context stage

H3-Base

Local open weights

768p base video

Base generation output

H3-Regenerate-2K

Official regeneration stage

2K output

Complete official result

Try Hosted H3 2K

Platform answer

Can MiniMax H3 Run on a Mac?

MiniMax H3 has emerging Apple-device deployment paths, but Mac hardware should not be evaluated using NVIDIA VRAM tables. Apple unified memory behaves differently from discrete CUDA GPU memory, and actual compatibility depends on the exact runtime, model format and operator support. Do not directly translate a 16GB or 24GB NVIDIA recommendation into a Mac unified-memory requirement.

Experimental / implementation-specific

Evidence class: Community measurement

One documented Apple Silicon workflow used an Apple M4 Max with 48GB unified memory. It reported a 5-second 480p generation in approximately 6m48s at 4 steps and 10m50s at 8 steps.

This demonstrates that one M4 Max 48GB configuration can run H3 locally. It does not establish an official Mac minimum, support every Apple Silicon generation, or make unified memory directly comparable with NVIDIA VRAM.

Platform answer

Can MiniMax H3 Run on AMD GPUs?

AMD MiniMax H3 deployment should currently be treated as configuration-dependent rather than assigned a universal compatibility rating. The official H3 documentation focuses on inference frameworks rather than publishing a consumer AMD GPU requirements table. Until a reproducible benchmark exists for a specific AMD configuration, do not invent an RX-series VRAM recommendation.

Advanced / configuration-dependent

Seven common corrections

MiniMax H3 Local: Myth vs Fact

Myth

MiniMax H3 officially requires 24GB VRAM.

Fact

MiniMax does not publish one universal consumer VRAM minimum for every H3 workflow.

Myth

MiniMax H3 is verified on 8GB GPUs.

Fact

The current detailed low-memory evidence does not verify a physical 8GB H3 configuration.

Myth

16GB is the official MiniMax H3 minimum.

Fact

A specific 16GB RTX 5070 Ti workflow has been measured successfully, but that is configuration-specific evidence rather than an official universal minimum.

Myth

A 20GB model file requires exactly 20GB VRAM.

Fact

Model size, runtime VRAM and system RAM are different resource constraints.

Myth

Every 16GB NVIDIA GPU behaves the same.

Fact

GPU architecture, low-precision support and software stack can materially change MiniMax H3 behavior.

Myth

GGUF is always the best lower-VRAM option.

Fact

Loader compatibility and reproducible workflow support matter more than the quantization label alone.

Myth

Running H3 locally gives the complete official 2K pipeline.

Fact

Local H3-Base is only one part of the full H3-Context-IR → H3-Base → H3-Regenerate-2K system.

Deployment choice

MiniMax H3 Local vs Online

MiniMax H3 local versus online decision matrix
FactorRun H3 LocallyRun H3 Online
Local GPU requiredYesNo
Large model downloadYesNo local model download
Setup effortHigherLower
Hardware controlFullHosted
ComfyUI customizationFullNot required
VRAM tuningUser managedHosted
Model maintenanceUser managedHosted
Best forTechnical users and experimentationFast generation without local hardware setup

Choose Local If

  • You already own suitable hardware
  • You want ComfyUI-level control
  • You are comfortable managing large model files
  • You want to experiment with local optimizations

Choose Hosted If

  • You have limited local hardware
  • You do not want to manage model files and offloading
  • You want to generate immediately
  • You want hosted access to supported H3 workflows

Production generator

Try MiniMax H3 Without the Local Setup

Do I Need a GPU to Use MiniMax H3 Online?

No local GPU is required when MiniMax H3 generation runs on hosted infrastructure. Your browser supplies the supported prompt and reference inputs, while the hosted service supplies model storage, GPU memory and inference compute. A local GPU is therefore relevant to local deployment decisions, not to using the hosted MiniMax H3 generator on this page.

Don't want to download large H3 model files, configure CPU offloading or troubleshoot GPU memory? Use the hosted MiniMax H3 generator below and generate directly in your browser.

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768pRecommended

Recommended for testing prompts and first drafts.

2K output is available on the 2K tier only.

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Est. cost: ~30 creditsBalance: — credits

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Vintage Binocular Brand Film AI video previewProduct Ads

Vintage Binocular Brand Film

Product Ads
Model
MiniMax H3
Duration
5 seconds
Resolution
768p
Aspect ratio
16:9

“Use Images 1–4 as sequential keyframes, seen through a vintage binocular viewfinder searching for the MINIMAX installation. Open out of focus with subtle handheld shake, then push in quickly and rack focus onto Image 1. Between keyframes, use fast binocular-scan transitions with whip movement, motion blur, optical smearing, and brief exposure flicker. Cut at peak blur, then settle and snap back into focus. Keep the twin circular lens mask absolutely fixed throughout: identical position, scale, feathered black vignette, and edge softness, with no warping or drift. Only the image inside the mask may move. In Image 2, let the fabric move gently in the wind while the MINIMAX lettering follows the folds and remains legible. In Image 3, the subject should feel like a stylish passerby caught by chance, walking, turning, and swinging their arms naturally. In Image 4, the subject adjusts their glasses or lifts their chin slightly with a cool, effortless fashion-campaign attitude. Red typography should resolve with the focus: begin slightly blurred and at low opacity, then fade into clarity over 0.3–0.5 seconds. A subtle vertical slide or slight tracking expansion is allowed. Fade it out before the next transition or let motion blur carry it away. No spins, bounces, or large fly-ins/outs. Visual language: a voyeuristic, Wes Anderson-inspired 35 mm film look with fine grain, soft highlight halation, restrained color, and red typographic accents. Minimal, premium, lightly playful. Do not add people, vehicles, buildings, or logos. Preserve the core composition and the MINIMAX installation exactly. PRODUCTION CONTROL MODE: Reference to Video. Assign Images 1–4 only as sequential visual anchors. TIMELINE: 0–3s search and rack focus; 3–10s two fast scan transitions; 10–15s settle on the final mark. CONTINUITY LOCKS: the twin circular mask, vignette softness and installation lettering never change geometry. CAMERA: handheld micro-shake inside the mask only; cut at peak motion blur. AUDIO: wind, cloth movement and two short optical whooshes; restrained low pulse, no dominant score. END FRAME: hold the final mark sharp for one second. AVOID: mask drift, melted text, cross-dissolves and extra subjects.”

View full prompt

Use Images 1–4 as sequential keyframes, seen through a vintage binocular viewfinder searching for the MINIMAX installation. Open out of focus with subtle handheld shake, then push in quickly and rack focus onto Image 1. Between keyframes, use fast binocular-scan transitions with whip movement, motion blur, optical smearing, and brief exposure flicker. Cut at peak blur, then settle and snap back into focus. Keep the twin circular lens mask absolutely fixed throughout: identical position, scale, feathered black vignette, and edge softness, with no warping or drift. Only the image inside the mask may move. In Image 2, let the fabric move gently in the wind while the MINIMAX lettering follows the folds and remains legible. In Image 3, the subject should feel like a stylish passerby caught by chance, walking, turning, and swinging their arms naturally. In Image 4, the subject adjusts their glasses or lifts their chin slightly with a cool, effortless fashion-campaign attitude. Red typography should resolve with the focus: begin slightly blurred and at low opacity, then fade into clarity over 0.3–0.5 seconds. A subtle vertical slide or slight tracking expansion is allowed. Fade it out before the next transition or let motion blur carry it away. No spins, bounces, or large fly-ins/outs. Visual language: a voyeuristic, Wes Anderson-inspired 35 mm film look with fine grain, soft highlight halation, restrained color, and red typographic accents. Minimal, premium, lightly playful. Do not add people, vehicles, buildings, or logos. Preserve the core composition and the MINIMAX installation exactly. PRODUCTION CONTROL MODE: Reference to Video. Assign Images 1–4 only as sequential visual anchors. TIMELINE: 0–3s search and rack focus; 3–10s two fast scan transitions; 10–15s settle on the final mark. CONTINUITY LOCKS: the twin circular mask, vignette softness and installation lettering never change geometry. CAMERA: handheld micro-shake inside the mask only; cut at peak motion blur. AUDIO: wind, cloth movement and two short optical whooshes; restrained low pulse, no dominant score. END FRAME: hold the final mark sharp for one second. AVOID: mask drift, melted text, cross-dissolves and extra subjects.

Epic Space Opera Teaser AI video previewCinematic

Epic Space Opera Teaser

Cinematic
Model
MiniMax H3
Duration
5 seconds
Resolution
768p
Aspect ratio
16:9

“Epic theatrical space-opera teaser Keep the pace fast and the scale enormous without letting the edit drag. Use sharp hard cuts, a shaking command deck, white-hot flashes, split-second black frames, and a violent jump-to-warp impact. Title cards should use wide-tracked cinematic typography—not pure white—with restrained material texture, subtle illumination, and a faint edge glow. Animate the titles by emerging from deep-space shadow, catching a sweep of starlight, opening their letter spacing, leaving a slight afterimage, and flashing briefly against black. PRODUCTION CONTROL MODE: First & Last Frame. SHOT BUDGET: maximum four shots. TIMELINE: 0–3s command-deck disturbance; 3–7s gateway reveal; 7–11s jump-to-warp impact; 11–15s title on black. CAMERA: one primary movement per shot. TEXT LOCK: exact title copy, centered, wide-tracked, fully readable for at least 24 frames. AUDIO: sub-bass rise, one metallic impact at the warp cut, then a short vacuum drop. AVOID: extra title cards, soft dissolves, pure-white typography and constant camera shake.”

View full prompt

Epic theatrical space-opera teaser Keep the pace fast and the scale enormous without letting the edit drag. Use sharp hard cuts, a shaking command deck, white-hot flashes, split-second black frames, and a violent jump-to-warp impact. Title cards should use wide-tracked cinematic typography—not pure white—with restrained material texture, subtle illumination, and a faint edge glow. Animate the titles by emerging from deep-space shadow, catching a sweep of starlight, opening their letter spacing, leaving a slight afterimage, and flashing briefly against black. PRODUCTION CONTROL MODE: First & Last Frame. SHOT BUDGET: maximum four shots. TIMELINE: 0–3s command-deck disturbance; 3–7s gateway reveal; 7–11s jump-to-warp impact; 11–15s title on black. CAMERA: one primary movement per shot. TEXT LOCK: exact title copy, centered, wide-tracked, fully readable for at least 24 frames. AUDIO: sub-bass rise, one metallic impact at the warp cut, then a short vacuum drop. AVOID: extra title cards, soft dissolves, pure-white typography and constant camera shake.

Desert Fashion Campaign AI video previewFashion

Desert Fashion Campaign

Fashion
Model
MiniMax H3
Duration
5 seconds
Resolution
768p
Aspect ratio
16:9

“Create a premium 16:9 landscape fashion film. Use Image 1 for the overall mood, location, and film texture; Image 2 for the talent; Image 3 for the bag; and Image 4 for the closing brand mark. This is a fashion campaign for the clothing and bag. The tone is elevated, cool, and restrained, but the edit should still feel lively and fashion-forward—not like a conventional narrative film or an e-commerce ad. Keep the story simple: beside a vintage car on a desert highway, a woman walks to the rear of the car, opens the trunk, takes out a black bag, shares a quiet beat with the man standing nearby, then leaves carrying the bag. Integrate the clothing and bag naturally into the performance so they feel like part of the characters’ identity. PRODUCTION CONTROL MODE: Reference to Video. Image 1 controls desert location and film texture; Image 2 the woman; Image 3 the black bag; Image 4 the closing mark. ACTION ORDER: approach trunk → open trunk → lift bag by its handle → brief eye contact → walk away. CAMERA: three restrained editorial setups, never more than one move per setup. PRODUCT LOCK: preserve bag silhouette, material, hardware and color. AUDIO: desert wind, trunk latch, footsteps on gravel; minimal music. END FRAME: clean brand mark after the walk-away. AVOID: extra products, wardrobe swaps and e-commerce turntable shots.”

View full prompt

Create a premium 16:9 landscape fashion film. Use Image 1 for the overall mood, location, and film texture; Image 2 for the talent; Image 3 for the bag; and Image 4 for the closing brand mark. This is a fashion campaign for the clothing and bag. The tone is elevated, cool, and restrained, but the edit should still feel lively and fashion-forward—not like a conventional narrative film or an e-commerce ad. Keep the story simple: beside a vintage car on a desert highway, a woman walks to the rear of the car, opens the trunk, takes out a black bag, shares a quiet beat with the man standing nearby, then leaves carrying the bag. Integrate the clothing and bag naturally into the performance so they feel like part of the characters’ identity. PRODUCTION CONTROL MODE: Reference to Video. Image 1 controls desert location and film texture; Image 2 the woman; Image 3 the black bag; Image 4 the closing mark. ACTION ORDER: approach trunk → open trunk → lift bag by its handle → brief eye contact → walk away. CAMERA: three restrained editorial setups, never more than one move per setup. PRODUCT LOCK: preserve bag silhouette, material, hardware and color. AUDIO: desert wind, trunk latch, footsteps on gravel; minimal music. END FRAME: clean brand mark after the walk-away. AVOID: extra products, wardrobe swaps and e-commerce turntable shots.

Cyber-Grunge Fashion Film AI video previewCinematic

Cyber-Grunge Fashion Film

Cinematic
Model
MiniMax H3
Duration
5 seconds
Resolution
768p
Aspect ratio
16:9

“Use Image 1 as the reference for texture and mood, and Image 2 for the subject’s appearance. Generate a 15-second, 16:9 fashion short. Preserve the subject’s identity: long platinum-blonde hair, narrow black vintage sunglasses, a glossy black patent-leather trench coat, a cool, self-assured expression, and orange firelight reflected across the coat. Style: fast-cut fashion film on analog stock, set against a nighttime blaze with black smoke and orange-red flames. Layer in VHS glitches, CCTV signal interruptions, 1990s film grain, scanlines, chromatic aberration, light leaks, flash-to-white transitions, and subtle frame jitter. PRODUCTION CONTROL MODE: Reference to Video. Image 1 controls texture and fire-lit mood; Image 2 controls identity, hair, sunglasses and coat. TIMELINE: 0–4s close-up identity lock; 4–10s two fashion poses with hard cuts; 10–15s walking hero shot. EFFECT RULE: glitches may affect signal and background, not facial geometry or garment construction. CAMERA: handheld 35mm language with two deliberate flash cuts. AUDIO: fire crackle, low industrial beat and one tape-stop accent. AVOID: face replacement, coat color changes, continuous glitch overlays and unreadable silhouettes.”

View full prompt

Use Image 1 as the reference for texture and mood, and Image 2 for the subject’s appearance. Generate a 15-second, 16:9 fashion short. Preserve the subject’s identity: long platinum-blonde hair, narrow black vintage sunglasses, a glossy black patent-leather trench coat, a cool, self-assured expression, and orange firelight reflected across the coat. Style: fast-cut fashion film on analog stock, set against a nighttime blaze with black smoke and orange-red flames. Layer in VHS glitches, CCTV signal interruptions, 1990s film grain, scanlines, chromatic aberration, light leaks, flash-to-white transitions, and subtle frame jitter. PRODUCTION CONTROL MODE: Reference to Video. Image 1 controls texture and fire-lit mood; Image 2 controls identity, hair, sunglasses and coat. TIMELINE: 0–4s close-up identity lock; 4–10s two fashion poses with hard cuts; 10–15s walking hero shot. EFFECT RULE: glitches may affect signal and background, not facial geometry or garment construction. CAMERA: handheld 35mm language with two deliberate flash cuts. AUDIO: fire crackle, low industrial beat and one tape-stop accent. AVOID: face replacement, coat color changes, continuous glitch overlays and unreadable silhouettes.

Retro Anime Crime Title Sequence AI video previewCinematic

Retro Anime Crime Title Sequence

Cinematic
Model
MiniMax H3
Duration
5 seconds
Resolution
768p
Aspect ratio
16:9

“Create a 15-second, 16:9 opening-title sequence for a stylish crime mystery. Draw from retro Japanese animation titles, hard-edged silhouettes, comic-book collage, asymmetric split screens, bold geometric color fields, English credit typography, sparse katakana accents, and a noir-jazz sensibility. Aim for 60% suspense and 40% jazz: mysterious, cool, agile, and urban—never horror, heavy drama, or a cheerful jazz music video. Build the sequence as motion-graphics collage: linework appears over black, split-screen boundaries snap into place, then color blocks and frames assemble piece by piece. Character silhouettes, prop close-ups, and English credits slide, pop, and reveal through masks on the beat. Keep it designed and graphic, not like conventional narrative animation. Credits must be clean and legible. Animate thin frames drawing on, names sliding in, letters appearing one at a time, or color blocks revealing type, then hold briefly. Do not introduce Chinese text, garbled characters, or misspellings. Each role and each name appears once only; do not assign multiple roles to the same name. Vary the transitions: circular vinyl-record wipes, vertical car-door cuts, long character shadows wiping frame, red-line slices, oversized letter masks, split-screen reconfigurations, hard color-block cuts, and tiled frames snapping into place. Keep every transition crisp, rhythmic, suspenseful, and collage-driven. No soft dissolves or fluid morphs. BGM: an original 15-second title cue, 60% suspense and 40% jazz. Use a low drone, tense string pizzicato, cool synth pulses, low kick, sparse brushwork, fragments of walking bass, short baritone-sax phrases, and clipped brass accents. Build suspense with low frequencies and hi-hat in the first 2 seconds; bring in the low beat at 3 seconds, jazz-bass movement at 6 seconds, and a short sax/brass riff at 10 seconds. Freeze the final 2 seconds on a tense chord and drum hit. Keep it mysterious and criminally cool, never upbeat, and do not imitate an existing melody. PRODUCTION CONTROL MODE: Reference to Video. Images 1–5 define graphic language, character silhouettes, palette and credit layout; do not combine identities across references. SHOT PLAN: black-and-white linework → geometric split-screen assembly → prop close-ups → final ensemble title. TYPOGRAPHY LOCK: exact English credit strings supplied in the prompt, one credit per card, minimum one-second hold. MOTION: masks, slides and snap cuts on beat; no fluid morphing. AUDIO: brushed drums, upright bass and clipped brass accents. AVOID: narrative lip sync, 3D rendering, horror imagery and decorative fake text.”

View full prompt

Create a 15-second, 16:9 opening-title sequence for a stylish crime mystery. Draw from retro Japanese animation titles, hard-edged silhouettes, comic-book collage, asymmetric split screens, bold geometric color fields, English credit typography, sparse katakana accents, and a noir-jazz sensibility. Aim for 60% suspense and 40% jazz: mysterious, cool, agile, and urban—never horror, heavy drama, or a cheerful jazz music video. Build the sequence as motion-graphics collage: linework appears over black, split-screen boundaries snap into place, then color blocks and frames assemble piece by piece. Character silhouettes, prop close-ups, and English credits slide, pop, and reveal through masks on the beat. Keep it designed and graphic, not like conventional narrative animation. Credits must be clean and legible. Animate thin frames drawing on, names sliding in, letters appearing one at a time, or color blocks revealing type, then hold briefly. Do not introduce Chinese text, garbled characters, or misspellings. Each role and each name appears once only; do not assign multiple roles to the same name. Vary the transitions: circular vinyl-record wipes, vertical car-door cuts, long character shadows wiping frame, red-line slices, oversized letter masks, split-screen reconfigurations, hard color-block cuts, and tiled frames snapping into place. Keep every transition crisp, rhythmic, suspenseful, and collage-driven. No soft dissolves or fluid morphs. BGM: an original 15-second title cue, 60% suspense and 40% jazz. Use a low drone, tense string pizzicato, cool synth pulses, low kick, sparse brushwork, fragments of walking bass, short baritone-sax phrases, and clipped brass accents. Build suspense with low frequencies and hi-hat in the first 2 seconds; bring in the low beat at 3 seconds, jazz-bass movement at 6 seconds, and a short sax/brass riff at 10 seconds. Freeze the final 2 seconds on a tense chord and drum hit. Keep it mysterious and criminally cool, never upbeat, and do not imitate an existing melody. PRODUCTION CONTROL MODE: Reference to Video. Images 1–5 define graphic language, character silhouettes, palette and credit layout; do not combine identities across references. SHOT PLAN: black-and-white linework → geometric split-screen assembly → prop close-ups → final ensemble title. TYPOGRAPHY LOCK: exact English credit strings supplied in the prompt, one credit per card, minimum one-second hold. MOTION: masks, slides and snap cuts on beat; no fluid morphing. AUDIO: brushed drums, upright bass and clipped brass accents. AVOID: narrative lip sync, 3D rendering, horror imagery and decorative fake text.

Hand-Drawn Kitchen Creature AI video previewCinematic

Hand-Drawn Kitchen Creature

Cinematic
Model
MiniMax H3
Duration
5 seconds
Resolution
768p
Aspect ratio
16:9

“15 seconds, 16:9 landscape. Blend live-action footage of a small kitchen at dusk with hand-drawn luminous animation. The last sunset light lingers at the window. The lived-in kitchen contains an old wooden table, a half-washed mug, a lightly fogged glass bottle, and a hanging dish towel. Shoot as if someone is filming one-handed on a phone: subtle hand tremor, hesitant close-focus pulls, backlit exposure breathing, and slightly coarse noise in the shadows. It should feel like an astonishing event captured in a rush at home, not a carefully dressed commercial. Do not show giant eyes, split mouths, fangs, threatening behavior, lunges, sudden black frames, or jump scares. Use only room tone, cloth friction, a soft mug clink, faucet drips, the camera operator’s footsteps and quiet breathing, plus gentle electronic tones and tiny vocalizations from the drawn creatures. PRODUCTION CONTROL MODE: Text to Video. TIMELINE: 0–4s hesitant kitchen discovery; 4–9s luminous creature crosses the table; 9–13s it reacts to a mug clink; 13–15s operator steadies the phone. CAMERA: one-handed phone, delayed autofocus and exposure breathing. SOUND: room tone, faucet drip, cloth friction, mug clink, footsteps and breathing; only tiny electronic creature tones, no score. CONTINUITY: kitchen layout and sunset direction remain stable. AVOID: giant eyes, fangs, lunges, jump cuts to black and studio lighting.”

View full prompt

15 seconds, 16:9 landscape. Blend live-action footage of a small kitchen at dusk with hand-drawn luminous animation. The last sunset light lingers at the window. The lived-in kitchen contains an old wooden table, a half-washed mug, a lightly fogged glass bottle, and a hanging dish towel. Shoot as if someone is filming one-handed on a phone: subtle hand tremor, hesitant close-focus pulls, backlit exposure breathing, and slightly coarse noise in the shadows. It should feel like an astonishing event captured in a rush at home, not a carefully dressed commercial. Do not show giant eyes, split mouths, fangs, threatening behavior, lunges, sudden black frames, or jump scares. Use only room tone, cloth friction, a soft mug clink, faucet drips, the camera operator’s footsteps and quiet breathing, plus gentle electronic tones and tiny vocalizations from the drawn creatures. PRODUCTION CONTROL MODE: Text to Video. TIMELINE: 0–4s hesitant kitchen discovery; 4–9s luminous creature crosses the table; 9–13s it reacts to a mug clink; 13–15s operator steadies the phone. CAMERA: one-handed phone, delayed autofocus and exposure breathing. SOUND: room tone, faucet drip, cloth friction, mug clink, footsteps and breathing; only tiny electronic creature tones, no score. CONTINUITY: kitchen layout and sunset direction remain stable. AVOID: giant eyes, fangs, lunges, jump cuts to black and studio lighting.

17 complete answers

MiniMax H3 Local FAQ

Yes. MiniMax H3-Base can run locally. MiniMax officially releases separate FL2VA and Ref2VA checkpoints and documents local deployment through SGLang, vLLM, Diffusers and ComfyUI. The released H3-Base checkpoints use BF16 precision. Local H3-Base covers the base generation stage, while the complete official 2K workflow additionally uses H3-Context-IR and H3-Regenerate-2K.

MiniMax does not publish one universal minimum VRAM requirement for MiniMax H3. Memory use changes with task family, model format, GPU architecture, resolution, video length, software stack and offloading. Current consumer hardware measurements should be treated as evidence for specific configurations rather than converted into an official H3 VRAM floor.

There is not enough reproducible evidence to recommend 8GB VRAM as a practical MiniMax H3 target today. The current detailed low-memory evidence leaves 8GB unverified rather than demonstrating the tested H3 workflow on a physical 8GB GPU. Do not describe 8GB as a verified or official H3 requirement.

Yes. MiniMax H3 has been reproducibly measured on a 16GB RTX 5070 Ti using an optimized ComfyUI workflow. The published test measured roughly 12.2–15.3 GiB peak GPU memory for a 30-second 640×480 job and about 14.1 GiB for a 5-second 1344×768 run. This demonstrates one working 16GB configuration, not an official universal minimum.

A 24GB RTX 4090 is a strong practical candidate for optimized MiniMax H3 workflows, but MiniMax does not designate the RTX 4090 or 24GB as an official minimum. Reproducible H3 measurements already exist below a 24GB VRAM budget on another GPU architecture, so a 4090 provides substantial additional memory headroom. Actual behavior still depends on precision, RAM, resolution, workflow and offloading.

A 32GB RTX 5090 offers strong VRAM headroom for current optimized MiniMax H3 workflows. Its memory capacity is substantially above the reproducibly measured 16GB configuration, but MiniMax does not publish 32GB or the RTX 5090 as an official requirement. System RAM, workflow complexity, model precision and offloading still matter.

MiniMax H3 does not have one official system-RAM minimum for every local workflow. In one measured 16GB-GPU configuration, application memory reached about 45.4 GiB before more aggressive fast-disk behavior was used. Offloading can shift pressure between GPU VRAM, host memory and storage, so RAM should be evaluated together with the complete deployment strategy.

SSD performance can matter when a MiniMax H3 workflow relies heavily on offloading. Low-memory configurations may move model components between storage, system RAM and GPU memory. A measured 16GB setup used NVMe storage and documented a fast-disk approach that shifted more pressure toward file cache and storage. This does not mean every H3 workflow requires NVMe.

INT8 is not the precision of MiniMax's original released H3-Base checkpoints. MiniMax officially releases its FL2VA and Ref2VA H3-Base checkpoints in BF16. Optimized INT8 and INT8-ConvRot files are used in the broader H3 ecosystem to reduce memory requirements and make consumer-GPU deployment more practical.

MiniMax H3 GGUF files are community quantized conversions rather than the original official BF16 H3-Base release. GGUF can be useful for flexible local memory strategies, but compatibility depends on the exact conversion, loader and workflow. Do not present GGUF as MiniMax's original checkpoint format.

Model size, GPU VRAM and system RAM are different MiniMax H3 resource constraints. Model size describes storage. VRAM holds GPU-resident generation data. System RAM can hold components that are staged or offloaded outside the GPU. A checkpoint larger than available VRAM may still run through offloading, while a smaller checkpoint can still exceed the final runtime VRAM budget.

FL2VA is the better first local validation workflow for most MiniMax H3 users. FL2VA handles text and first/last-frame conditioning, while Ref2VA accepts richer multimodal references including images, video and audio. Validate your local H3-Base installation with FL2VA before assuming a borderline hardware configuration will handle a demanding Ref2VA workload.

The complete official MiniMax H3 2K workflow is not a fully local open-weight pipeline today. MiniMax defines the system as H3-Context-IR → H3-Base → H3-Regenerate-2K. H3-Base can run locally for the base 768p stage, while the official complete 2K workflow also depends on MiniMax platform stages.

MiniMax H3 has emerging Apple-device deployment paths, but Mac hardware should not be evaluated using NVIDIA VRAM tables. Apple unified memory behaves differently from discrete CUDA GPU memory, and actual compatibility depends on the exact runtime, model format and operator support. Do not directly translate a 16GB NVIDIA recommendation into a 16GB Mac requirement.

No. ComfyUI is one supported way to run MiniMax H3 locally, but it is not the only option. MiniMax's official H3 documentation also covers deployment through SGLang, vLLM and Diffusers. ComfyUI is particularly convenient for interactive creator workflows, while serving frameworks are more appropriate for programmatic deployment.

AMD MiniMax H3 deployment should currently be treated as configuration-dependent rather than assigned a universal compatibility rating. The official H3 documentation focuses on inference frameworks rather than publishing a consumer AMD GPU requirements table. Do not invent an RX-series requirement without a reproducible benchmark.

No local GPU is required when MiniMax H3 generation runs on hosted infrastructure. The hosted service supplies model storage, GPU memory and inference compute, while your browser supplies the supported generation inputs. A local GPU is therefore relevant to local deployment, not to using the hosted H3 generator on this page.

Defined terms

MiniMax H3 Local Glossary

H3-Base
The locally released core MiniMax H3 generation module.
FL2VA
The MiniMax H3 task family for text and first/last-frame conditioned audio-video generation.
Ref2VA
The MiniMax H3 task family designed for multimodal reference conditioning with images, video and audio.
BF16
The precision used by MiniMax's original released H3-Base checkpoints.
INT8
An optimized lower-precision representation used by ecosystem deployments to reduce memory pressure.
GGUF
A community quantization format used for flexible memory and offloading configurations.
NVFP4
A low-precision representation used in some optimized H3 ecosystem components and particularly relevant to newer GPU architectures.
CPU Offloading
Moving model components between GPU memory and system RAM to reduce VRAM pressure.
H3-Context-IR
The context-processing stage used before H3-Base in the complete MiniMax H3 workflow.
H3-Regenerate-2K
The regeneration stage used after H3-Base to produce the complete 2K result.

Visible provenance

Sources & Verification

pikah3.org is an independent third-party platform and is not affiliated with, endorsed by, or operated by MiniMax. Official facts and community measurements are labeled separately.

Aug 23, 2026

What Changed?

  • Added MiniMax H3 Hardware Checker
  • Added GPU-architecture-aware guidance
  • Added reproducible 16GB evidence
  • Marked 8GB as not yet verified
  • Added model-size vs VRAM vs RAM explanation
  • Added SSD/offloading guidance
  • Added Local vs Hosted decision path
  • Added embedded MiniMax H3 Generator
  • Consolidated H3 hardware requirements into one reference page

Continue your setup

Two clear routes

Ready to Choose Your MiniMax H3 Setup?

Run H3 Locally

Use an H3 workflow matched to your GPU architecture, VRAM and available system memory.

Skip the Hardware Setup

Generate MiniMax H3 in your browser without downloading large model files or configuring local GPU offloading.

Run MiniMax H3 Online

Published 2026-09-15 · Verified 2026-09-15

By Jaysean Brambila · Founder of pikah3.org