Auto Portrait vs BerriAI/litellm - GitHub

Side-by-side comparison · Updated October 2026

 Auto PortraitAuto PortraitBerriAI/litellm - GitHubBerriAI/litellm - GitHub
DescriptionAutoPortrait.ai offers a simple and affordable way to create AI-generated portraits from your selfies. With a one-time payment of $5, users can train the AI on their face and generate 100 unique portraits in millions of styles, downloadable in 512x512px resolution. The service is secure, using Stripe for payment processing, and allows the generated portraits to be used for commercial purposes. Customer feedback has been highly positive, praising the quality and usefulness of the portraits for various personal and professional purposes.LiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application.
CategoryImage GenerationDeveloper Tools
RatingNo reviewsNo reviews
PricingPaidOpen Source
Starting Price$5N/A
Plans
  • 100 AI Portraits — $5
—
Use Cases
  • Professionals
  • Content Creators
  • Marketers
  • Social Media Users
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
Tags
AI-generated portraitsselfiestrain AI on faceunique portraitsmultiple styles
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
Features
100 portraits for $5
Train AI on your face
Millions of styles available
512x512px resolution downloads
One-time payment
Secure payments via Stripe
Commercial use permitted
High customer satisfaction
No subscription needed
Support via Discord
Python SDK for direct application integration
Shared AI proxy gateway and administration UI
More than 100 documented model-provider integrations
Virtual keys, users, teams, budgets and rate limits
Spend tracking and observability integrations
Router retries, fallbacks and load balancing
MCP gateway for Streamable HTTP, SSE and stdio upstreams
Key, team and organization MCP permissions
Separate enterprise identity, audit and support features
 View Auto PortraitView BerriAI/litellm - GitHub

Modify This Comparison