AutoPortrait.ai vs New API
Side-by-side comparison · Updated October 2026
| Description | AutoPortrait.ai is an innovative online platform that specializes in creating AI-generated portraits from user-uploaded photos. Offering a simple, affordable, and secure one-time payment model, it enables users to train the AI with high-quality face photos, producing diverse portraits in millions of styles at 512x512 resolution. The service stands out for its emphasis on portrait quality, likeness, and the allowance for commercial use of the generated images. With over 184,720 AI portraits already created, AutoPortrait.ai has become a go-to for individuals seeking unique, professional-quality images. | 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 | Paid | Open Source |
| Starting Price | $5 | N/A |
| Plans |
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| Use Cases |
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| Tags | AI-generated portraitsuser-uploaded photoshigh-quality face photosdiverse portrait stylescommercial use | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Simple and affordable one-time payment model | ||
| No subscription or hidden fees | ||
| Generation of portraits in millions of styles | ||
| Portraits available for commercial use | ||
| Secure payment process with Stripe and SSL encryption | ||
| Support through the Discord community | ||
| Over 184,720 AI portraits already generated | ||
| Developed by Zigg, registered in France | ||
| High-quality, 512x512px resolution portraits | ||
| User-generated testimonials highlighting portrait quality | ||
| 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 AutoPortrait.ai | View New API | |
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