A generative model developed by OpenAI that generates 3D objects conditioned on text, capable of directly generating parameters of implicit functions that can be rendered as textured meshes and neural radiance fields.
Sample code and API for Shap-e
OpenRouter normalizes requests and responses across providers for you.
To get started, you can use Shap-e via API like this:
fetch("https://openrouter.ai/api/v1/chat/completions",{ method:"POST", headers:{"Authorization":`Bearer ${OPENROUTER_API_KEY}`,"HTTP-Referer":`${YOUR_SITE_URL}`,// Optional, for including your app on openrouter.ai rankings."X-Title":`${YOUR_SITE_NAME}`,// Optional. Shows in rankings on openrouter.ai."Content-Type":"application/json"}, body:JSON.stringify({"model":"openai/shap-e","messages":[{"role":"user","content":"What is the meaning of life?"},],})});
You can also use OpenRouter with OpenAI's client API:
import OpenAI from"openai"const openai =newOpenAI({ baseURL:"https://openrouter.ai/api/v1", apiKey: $OPENROUTER_API_KEY, defaultHeaders:{"HTTP-Referer": $YOUR_SITE_URL,// Optional, for including your app on openrouter.ai rankings."X-Title": $YOUR_SITE_NAME,// Optional. Shows in rankings on openrouter.ai.}})asyncfunctionmain(){const completion =await openai.chat.completions.create({ model:"openai/shap-e", messages:[{ role:"user", content:"Say this is a test"}],})console.log(completion.choices[0].message)}main()
See the Request docs for all possible parameters, and Parameters for recommended values.