AliceCam vs BerriAI/litellm - GitHub

Side-by-side comparison · Updated October 2026

 AliceCamAliceCamBerriAI/litellm - GitHubBerriAI/litellm - GitHub
DescriptionAliceCam is an AI-driven service that generates professional looking headshots effortlessly. By uploading just six selfies, users can receive numerous polished, studio-quality photos within minutes. With over 120 styles to choose from and the convenience of getting photos in as low as $0.1 per photo, AliceCam offers a wide range of options for any style preference. The service supports photos with glasses and accepts high-quality images with diverse backgrounds and expressions. Users can contact support for any issues or refunds within 14 days of purchase.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$11.99N/A
Plans
  • Starter Wonderland Explorer — $11.99
  • Standard Magic Crafter — $19.99
  • Premium Dream Weaver — $39.99
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Use Cases
  • Job Seekers
  • Social Media Influencers
  • Models
  • Online Daters
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
Tags
headshotsphotosselfiesstylesstudio-quality
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
Features
AI Powered Beautiful, Realistic Portraits
120+ Styles to Choose
Professional Looking Headshots with 6 Selfies
Photos in Minutes
High Quality Studio Style Photos
As Low as $0.1 Per Photo
Support for Glasses
100+ Poses to Choose
Refund Within 14 Days
Full Data Control
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
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