Shap E Img 2img
Shap E Img 2img is an open-source image model developed by OpenAI, specifically designed to generate 3D images from synthetic 2D images. It is genuinely best at sampling 3D images from given 2D images, leveraging a diffusion process to produce complex and diverse 3D assets.
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Frequently asked questions about Shap E Img 2img
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
OpenAI has not published a context window for Shap E Img 2img, so the catalog shows it as not available rather than estimating one.
Yes. Shap E Img 2img is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
Shap E Img 2img accepts Image and produces Image. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Shap E Img 2img is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Shap E Img 2img is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
OpenAI has not published a parameter count for Shap E Img 2img, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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