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Hunyuan Motion (Text to 3D Motion) is now available in the Mina Labs studio. The model is listed in the Mina Labs models directory under the model ID fal-ai/hunyuan-motion.
The release adds a text-to-3D-motion option to Mina Labs. It is designed for creators who want to describe motion with words and work with the resulting output as part of a 3D production workflow.
Motion is often one of the slower parts of a 3D project. A creator may have a character, object, or scene in mind but still need to plan movement before the idea can be evaluated. A text-to-3D-motion model offers a way to start from a written description instead of beginning with manual keyframing or a completed motion reference.
That makes the model useful at the concept stage. A short prompt can express the basic action, direction, or feeling of a sequence. For example, a maker might describe a character walking cautiously, an object rotating in place, or a figure moving with a particular rhythm. The generated result can then help communicate the idea or guide the next production step.
The announcement does not provide a detailed list of supported export formats, editing tools, or animation controls. Those details matter for a finished pipeline, so creators should treat the Mina Labs listing as the source for what is currently available in the studio. The confirmed point is more focused: Hunyuan Motion is available for text-to-3D-motion generation through Mina Labs.
This can still be valuable even when the first result is not the final asset. Early motion tests help answer practical questions. Does the action read clearly? Is the timing close to the intended direction? Does the movement fit the character or object? Text-based generation can make those questions easier to explore before more time is spent on manual production.
What it costs and whether it is on Mina Labs
Hunyuan Motion is available directly in the Mina Labs studio. Its listed pricing is 2 credits per one image. The price is tied to a single image unit in the listing, while the model itself is identified as fal-ai/hunyuan-motion.
That availability is the main practical detail for creators comparing ways to test the model. There is no separate access step described in the announcement. Users can find it through Mina Labs and use the studio interface rather than looking for an external integration.
The per-image pricing also gives a simple way to think about small experiments. A creator can begin with a limited prompt set, compare the results, and decide whether the output is useful for the project. The announcement does not state additional package pricing or usage limits, so those should be checked in the Mina Labs interface before starting a larger batch.
What we would use it for
We would use Hunyuan Motion first for motion exploration. Before committing to a detailed 3D sequence, we could write several variations of the same action and compare their direction. One prompt might describe slow, careful movement, while another could ask for a more energetic version. This would give the team a quick way to discuss the intended motion using visible examples rather than descriptions alone.
We would also use it for storyboarding and pitch work. A rough motion test can make an idea easier to review with collaborators, especially when a static model or sketch does not show how a scene should progress. The goal would not be to assume that every generated result is production-ready. Instead, the output could serve as a visual reference for timing, blocking, and creative decisions.
Another use would be testing movement concepts for short-form animation, game prototypes, or character studies. Text is a flexible starting point when the exact motion has not been captured or designed yet. By trying several descriptions, a creator can narrow down the style and action that best fits the project.
Hunyuan Motion is now a practical option on Mina Labs for makers who want to investigate 3D motion through prompts. Its value will depend on how well the generated motion fits a creator’s existing workflow, but the entry point is clear: choose the model in the studio, provide a text direction, and evaluate the result.