AI Headshot Generator vs New API
Side-by-side comparison · Updated October 2026
| Description | Headshot AI is a powerful tool designed to generate professional AI headshots quickly and efficiently. Powered by Next.js, Leap AI, and Vercel, this starter kit is perfect for developers looking to jumpstart their AI app development. It includes essential features like AI model training through Astria, database and authentication via Supabase, and integrates with Resend for email notifications. This open-source project is highly customizable, allowing users to modify and expand its functionality to suit their needs. | New API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents. |
| Category | Image Generation | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Free | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Tags | AIheadshotsNext.jsLeap AIVercel | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| AI model training via Astria | ||
| Fast deployment with Vercel | ||
| Customizable open-source template | ||
| Database and authentication handled by Supabase | ||
| Integration with Resend for email notifications | ||
| Supports Stripe for billing | ||
| Powered by Next.js framework | ||
| Tailwind CSS for styling | ||
| Live demo available | ||
| Scalable infrastructure | ||
| Self-hosted AI gateway and model management | ||
| Provider channels, token groups and model restrictions | ||
| OpenAI-compatible, Claude Messages and Gemini format support | ||
| Documented limits on protocol conversion | ||
| Weighted channel selection and failure retries | ||
| User-level model rate limiting | ||
| Request, usage and cache-hit cost accounting | ||
| Docker Compose deployment documentation | ||
| View AI Headshot Generator | View New API | |
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