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MiniMax H3 LoRA text-to-video runs the open-weights MiniMax H3 with up to three of your own LoRAs. It returns a 3 to 15 second MP4 with stereo sound at 480p to 1080p in seven aspect ratios, with no filter on the prompt, weights or result.

From $0.05/s

Workbench

Input

Text to video
318/7000
Write the shot as a short timeline: who is in it, what they do, how the camera moves. Put the soundtrack on its own Audio: line. If a LoRA has a trigger word, start the prompt with it. at least 1 characters · at most 7000 characters
16:9, 9:16, 1:1, 4:3, 3:4, 21:9 or 9:21. The ratio changes the frame, not the price: at the lowest tier a 16:9 clip comes back at 832 x 480.
affects price
480p, 540p, 768p or 1080p. Price rises with each step. Draft at 480p, deliver at 768p or 1080p.
Durationaffects price
Any whole second from 3 to 15. You pay for the seconds you ask for, so test at 3 to 5. no lower than 3 · no higher than 15
Style LoRAs1/3

Vh5tape Vhs

Up to three {path, scale} entries. path is a direct HTTPS link to a .safetensors file trained for MiniMax H3; scale runs 0 to 4, 1 is neutral. Style LoRAs are fine at 1; start concept LoRAs at 0.6 to 0.8. at most 3 items
Seed
Keeps a series close when you compare LoRA scales or prompt edits. Change one thing per run. no lower than 0 · no higher than 2147483647
Safety checkerOff

SpicyAPI does not run a safety checker on this model. Your prompt and media go to the model as written, and the model itself decides what comes back.

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Output

Ready for a new run
Example result

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Your LoRAs on MiniMax H3, from the first test to the final cut

MiniMax H3 LoRA runs the open-weights H3 with up to three LoRA files you choose, on a written scene, a single opening frame or a set of references, and nothing on our side filters any of it. Loading the weights is the easy part. This page covers the part that decides whether the clip comes out right: which file to trust, how to point at it so it never changes under you, which endpoint should own the picture, and when a shot belongs on the Singularity or Image LoRA families instead.

Open the playground
Your LoRAs on MiniMax H3, from the first test to the final cut
Start here for
Text-to-video, and any shot where a quick render matters more than razor-sharp fast motion
Move to Singularity for
Spins, strikes and wide shots where faces have to hold
Move to Image LoRA for
Settling a look on stills before paying for seconds of video
One file, three families
The same H3 LoRA link loads on all three; we ran one file across every endpoint
What the link must return
The .safetensors file itself: a Hugging Face …/resolve/… link, not the …/blob/… page
Content filter
None from the platform; rights and consent stay with you
Pipeline
One set of weights, three stagesSettle the character and the style on stills, where a draw takes seconds. Confirm the movement with a three-second 480p clip here. Send only the shots with fast action on to Singularity. The loras array travels unchanged through all three, so nothing has to be re-tuned between stages.
Frame or weights
Decide which one owns the pictureOn image-to-video your opening frame and a strong LoRA compete for the same pixels. If the LoRA's world is the point, write the scene on text-to-video or reference-to-video and let the weights lead. If your frame is the point, stay on image-to-video with the LoRA turned down and the prompt about what happens next.
Ecosystem
The H3 LoRA scene is under two months old, so vet every fileMiniMax published the open weights on 3 August 2026, so every H3 LoRA you can download is new, and quality swings from polished to half-trained. A good model card names the base, the trigger word and a working strength. A file that says none of that deserves one cheap test before it goes anywhere near a batch.

Getting LoRAs right on MiniMax H3 LoRA

Borrow the words the LoRA was trained on

Borrow the words the LoRA was trained on

A LoRA learns from captioned clips, and it answers best to the vocabulary of those captions. Open the model card, copy the trigger word and the phrasing of its sample prompts, then write your scene in that dialect. A camera LoRA captioned with 'orbit shot' responds more reliably to that phrase than to any paraphrase of it.

Pin the file so next month's clip matches this one

Pin the file so next month's clip matches this one

A link that runs through /resolve/main/ follows whatever the author uploads next, so the same request can quietly change its look. Replace main with the commit hash from the repository history and the address points at one frozen file for good. Keep that pinned link in your configuration, next to the scale it was tuned at.

  • Test looks on stills, test movement on clips

    Character and style LoRAs show up on a single frame, so MiniMax H3 Image LoRA answers 'is this the right look' for the price of a still. Motion and camera LoRAs cannot be judged that way, because a frame has no movement in it. Run those here, at 480p and three seconds, the smallest clip this family renders.

  • Debug a stack by taking slots away

    When a clip with three LoRAs goes wrong, hold the seed and the prompt and re-run with one entry removed at a time. The run that recovers names the file at fault in at most three short requests, which beats nudging three scales at once and guessing which nudge helped.

  • No review queue means your pipeline is the review

    Nothing on our side checks the weights you load or the clip you get back, which is exactly what makes uncensored LoRAs usable here. It also means the checks your business depends on belong in your own pipeline: that everyone shown is an adult, that you hold the rights to any likeness, and that no one is being misrepresented.

Who uses MiniMax H3 LoRA

  • Turn a look into a versioned file

    Studios with a house style

    Turn a look into a versioned file

    Pick or train one style LoRA, pin it by commit and route every clip through it. The look stops living in a prompt that each editor rewrites and starts living in a file you can version, roll back and hand to a new team member in one line of configuration.

  • Check the link before you forward it

    Platforms letting users bring LoRAs

    Check the link before you forward it

    The weights are fetched when the job runs, so a bad link from a user comes back later as a failed task. Check it in your own app first: the address answers, it serves a .safetensors file, and its size sits within a limit you set to keep first-call times predictable.

  • An animatic in the client's style

    Pitch and storyboard teams

    An animatic in the client's style

    Load the style LoRA the campaign will use, render each storyboard panel as a three-second 480p clip and cut them together. The client sees motion, pacing and the final look in one pass, long before a finished sequence is paid for, and the approved panels re-render at 1080p with the same array.

  • A hosted test bench for every checkpoint

    People training their own H3 LoRAs

    A hosted test bench for every checkpoint

    Push each checkpoint to a URL, run the same short prompt battery against each one with a fixed seed, and compare the clips side by side. There is no GPU to rent and no local install to keep in step with the base model, and uncensored checkpoints run through the same fields as everything else.

From a new LoRA to a delivered clip on MiniMax H3 LoRA

  1. Read the model card before you download anything

    Confirm the LoRA was trained on MiniMax H3, then note three things: the trigger word, the strength its author recommends and two or three of its sample prompts. Those three facts decide how your first prompt should read.

  2. Copy the pinned download link

    On Hugging Face, take the …/resolve/… link to the .safetensors file and replace main with a commit hash. The address must serve the file without a login, because the request carries only a path and a scale, never credentials.

  3. Choose the endpoint by what should own the picture

    Words only: text-to-video. Your frame must survive: image-to-video with a gentle scale. A face, a room and a move from separate assets: reference-to-video. The loras array is identical on all three, so switching later costs nothing.

  4. Run a three-rung strength ladder

    Send the same prompt and seed three times at 480p for three seconds, with the new LoRA at 0.5, 0.8 and 1.1. Keep the rung that reads right, or split the difference between two. The whole ladder is nine seconds of the lowest tier.

  5. Deliver the keeper and collect it by callback

    Re-send the winning request at 768p or 1080p with the same seed and expect a close variation rather than a copy. Renders are asynchronous: pass a callback URL or poll the task until it finishes, and the MP4 arrives with its soundtrack inside.

MiniMax H3 LoRA prompts worth copying

  • A strength ladder for a style LoRA

    Three runs of this prompt at 0.5, 0.8 and 1.1 with the VHS-tape LoRA loaded show where the tape look starts to swallow the scene. The trigger word leads because that is how the LoRA was captioned.

    vh5tape, a birthday party in a wood-panelled living room in 1987, a man in a striped sweater carries a cake with lit candles toward the camera, friends clapping around him, handheld home-video camera. Audio: everyone singing, a dog barking once
  • Continue the frame instead of replacing it

    On image-to-video the prompt only says what happens next inside the uploaded picture, so the room, the light and the person carry through while a gently scaled LoRA shapes the movement.

    She sets the glass down on the windowsill, turns toward the camera and smiles, the city lights behind her staying exactly where they are, slow push-in. Audio: distant traffic and a soft exhale
  • Write in a camera LoRA's own vocabulary

    Camera-move LoRAs answer to the phrases in their training captions. Put that phrase first, name the subject, and let the weights handle the path of the lens.

    orbit shot, a dancer in a red dress spins on a rooftop at dusk, her skirt flaring outward, the city skyline turning slowly behind her. Audio: a brass band and wind

More MiniMax H3 LoRA questions

Before you batch anything

Read the model card, pin the link to a commit, and spend your first requests on a three-rung strength ladder at 480p and three seconds. Decide whether your frame or the LoRA should own the picture before you choose an endpoint. Settle looks on stills in MiniMax H3 Image LoRA and send only the shots with fast action on to Singularity; the same loras array works everywhere.