Model reference · open weights
MiniMax-H3-slim is an open-weight video model from fkyyy. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Maker | fkyyy |
|---|---|
| Type | Video models |
| Task | Image→video |
| Runs with | minimax-h3 |
| Released | 2026-08-24 |
| Popularity | 986 downloads / month |
| Licence | Commercial licence needed |
About
Offical skills to improve prompt writing: skills on github
Use MiniMax-H3 directly via API.
Use MiniMax-H3 directly via App.
MiniMax H3 is a general-purpose, omni-modal generative system. It supports unified understanding of multimodal contexts composed of text, images, video, and audio, and can generate video with native stereo audio at resolutions up to 2K and durations of up to 15 seconds. Thanks to its task-generalization-oriented system design, H3 already possesses broad multimodal context understanding and generation capabilities at the pre-training stage, enabling outstanding performance in following complex multimodal instructions.
H3 supports the following input and output specifications:
| Category | Specification |
|---|---|
| Output duration | 4–15 seconds |
| Output aspect ratio | Supports a wide range of aspect ratios, including but not limited to 21:9, 16:9, 4:3, 1:1, 3:4, and 9:16 |
| Output resolution | Supports various resolution dimensions. The shorter side is set to 768 pixels by default. 2K | generation can be achieved with H3-Regenerate-2K |
| Output frame rate | 24 FPS |
| Output audio | 32 kHz stereo |
| Supported dialogue languages | Stable support for 11 languages: Arabic, Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, and Spanish. Additional languages are also supported to varying degrees |
| Model Variant | Input Mode | Specifications |
|---|---|---|
| H3-Base-FL2VA | First-and-last-frame mode | Supports zero, one, or two input images. - No image input: Text-to-video mode - One image input: First-frame-to-video or last-frame-to-video generation - Two image inputs: First-and-last-frame-to-video generation |
| H3-Base-Ref2VA | Omni-reference mode | Supports multi-modal reference inputs: - Images: ≤ 9 images - Videos: ≤ 3 clips; each clip must be 2–15 seconds long; total duration ≤ 15 seconds - Audio: ≤ 3 clips; each clip must be 2–15 seconds long; total duration ≤ 15 seconds - Mixed inputs: Maximum number of files across all input types is 12 |
The complete H3 system consists of the following three modules:
H3-Context-IR is a hosted preprocessing and orchestration system designed for free-form multimodal inputs.
It interprets the relationships among text, images, audio, and reference videos, as well as how these materials relate to the intended generation output. Its internal workflow includes instruction parsing, cross-modal association, temporal understanding, and complex logical reasoning.
H3-Context-IR serializes its understanding of the context into a structured representation accepted by H3-Base. Without deviating from the user’s original intent, it may also supplement missing or underspecified semantic details where appropriate.
Because H3-Context-IR relies on a multi-stage workflow and multiple hosted models and services, it is not included in this open-source release. We provide an API that enables users to reproduce the behavior of the official workflow. We also provide detailed tutorials, and developers can follow the Prompting Guidance to build their own preprocessing systems.
For detailed usage instructions, see Recommended Workflow — Full 2K Workflow.
Safety Guardrails
User-submitted text, images and videos, as well as enhanced prompts, are subject to automated moderation. Content suspected of being unlawful, pornographic, or infringing third-party rights may be blocked. We use industry-standard filtering measures but cannot eliminate false positives or false negatives. These guardrails do not affect the Licensee’s obligations under the MiniMax H3 Community License, especially those relating to lawful use and use restrictions.
H3-Base encodes different modalities using their corresponding encoders or VAEs and organizes the encoded representations into a unified packed multimodal sequence. RoPE is used to capture the necessary spatial and temporal relationships among tokens before the entire sequence is passed to the H3-Omni-Transformer.
Specifically, text is encoded by the H3-Encoder; visual inputs are encoded by both the H3-Encoder and the H3-VisualVAE; and audio is encoded solely by the H3-AudioVAE.
The H3-Omni-Transformer jointly predicts video and audio latents, which are then decode
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys minimax-h3-slim for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (minimax-h3-slim below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"minimax-h3-slim","prompt":"a drone shot over a forest"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.