AI3D Studio

Convert one of the account’s Library 3D models (a GLB) to GLB, STL, 3MF, OBJ or PLY on the server, optionally simplifying it, compressing its geometry, scaling it to a real-world size, moving its origin or repairing it for printing (holes, flipped faces, debris; STL, 3MF, OBJ or PLY), and file the result in the Library as a new creation made from it. Free (no credits) and answered at once. STL and 3MF are millimetres and Z-up for slicers; OBJ and PLY are geometry only, in metres; GLB keeps materials and textures and can be meshopt-compressed. Take asset_id from get_job or search_library (a file of a finished 3D job). Models over 50 MB or 2,000,000 triangles, and Draco-compressed GLBs, are refused. The same conversion run twice returns the same creation.

Price a generation before starting it: the credits this model would charge for these options, and whether the current balance covers it. Uses the same validation and price calculation as generate_3d and generate, so for a valid request the figure is exactly what is charged. Omit scene to price every scene of the model. Nothing is charged and nothing is started.

Start an async AI generation of any media type and return its job id. The input shape depends on the model (see list_models); for 3D prefer generate_3d. To run an image preset (list_models returns them: figurine, style, pose, convert), send mediaType "image", scene "image-to-image", options.image (the picture, or the subject then a reference), options.preset (its id) and optionally options.preset_addons and options.preset_background; the server composes the prompt, and prompt is then only your extra instructions. Bills credits: check the price with estimate_cost first. Pass a stable idempotencyKey when retrying — a retry with the same key replays the original job instead of billing twice. Then call get_job.

Start a 3D generation and return its job id at once. mode picks the input: text (prompt), image (options with the image URL), multiview (several view images), sketch, or model (edit an existing 3D model). Take the model id and its option names from list_models, and check the price with estimate_cost first: this spends credits. Pass a stable idempotency_key when retrying so a retry replays the same job instead of billing twice. Then call get_job to follow it.

Get the credits this account can spend now (and how many of them come from the subscription or are permanent), the plan name when there is one, and — when you are connected with an API key that has a monthly credit limit — that limit, what the key has used this month, and when it resets. Read-only.

The state of a batch and of each picture in it: queued, running, done, failed or cancelled, the job_id of its run once started (get_job gives the files), credits charged, and whether retry_batch can run it again.

Get a job started by generate_3d or generate: its status, progress, credits charged and refunded, and — when it has finished — the result files with their public download URLs, including other formats where the model returned them. Poll about every 5–10 seconds while status is pending or processing; stop when is_terminal is true.

The account’s batches of one scene from the last 24 hours, newest first, with each picture’s progress — and how many pictures its plan lets one batch hold (allowance; 0 means the plan includes no batches).

List the files a finished job already has, one per format: the main result plus any alternate formats the model returned (for 3D models, for example glb with fbx or usdz), each with a public download URL. Pass format to find one format. This does not convert: if the format asked for is not there, available_formats says what is, and a model can be exported to other formats from the web app model viewer.

List the models this account can generate with, grouped by what they make (3D, image, …): each with its id, the scenes (input modes such as text-to-3d or image-to-3d) it supports, and the credits it costs at default options. Call this first to choose a model id, then estimate_cost for an exact price. Set include_inputs to also get the option fields of each scene (names, allowed values, ranges). An account whose app has Image Maker also gets presets: ready-made picture conversions (figurine, style, pose, …) to run with generate by passing options.preset. batches lists the scenes start_batch can run over several Library pictures at once, with the models each may use.

Queue the batch’s failed pictures (and any stopped for want of credits) again as new runs, or only the item_ids given. Charged as each starts, like a new batch of that many pictures: the balance must cover them and they count against a monthly limit.

Search the Library of past generations kept by this account, newest first: filter by words in the prompt or title and by kind (3d, image, …). Returns the job id, model, status and result file URLs of each run. Use next_cursor to page. Only runs of this account are ever searched. For the full detail of one run call get_job.

Run the same model, scene and options once for each of several pictures in the account’s Library — for example image to 3D for twelve product photos. Take the scenes and models from list_models (`batches`), and each picture’s asset_id from get_job or search_library on a finished image job. Nothing is charged now: each run is charged as it starts and refunded if it fails, but the balance must cover the whole quote, and for a key or connection with a monthly limit the whole quote is held against it until each picture runs (then its real cost counts) or is cancelled, refused or refunded (then nothing does). Returns a batch id at once; follow it with get_batch. Pass idempotency_key on retries so a repeat returns the same batch instead of queueing another.