AI Gallery vs New API
Side-by-side comparison · Updated October 2026
| Description | The AI Gallery is a cutting-edge online platform designed for creating, editing, and managing digital artworks with artificial intelligence. It offers a wide range of tools such as generation options, prompt inputs, style loaders, advanced samplers, and post-processing features to enhance creativity. Users can experiment with different settings like batch size, steps, dimensions, and model choices to tailor their creations. Multi-select and multi-model capabilities allow for complex artwork generation, while safety features like NSFW filters ensure appropriate content. The platform is powered by InStyleAI and encourages community support through donations. | 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 |
| — |
| Use Cases |
|
|
| Tags | creatingeditingmanagingdigital artworksartificial intelligence | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Generation options | ||
| Prompt and negative prompt inputs | ||
| History and style loaders | ||
| Save and load presets | ||
| Various sampler algorithms like k_lms, DDIM, and k_dpm_fast | ||
| Batch size, steps, width, height customization | ||
| Guidance, CLIP Skip, and Model settings | ||
| Post-processors including Hi-res fix and Tiling | ||
| Safety features like NSFW filters | ||
| Trusted Workers, Multi Select, and Multi Model capabilities | ||
| 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 Gallery | View New API | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with AI Gallery and New API.