Img Upscaler vs New API
Side-by-side comparison · Updated October 2026
| Description | ImgUpscaler is a versatile AI-powered mobile app designed to upscale images and photos. It features an array of advanced tools including image upscaling, face swapping, and object removal. The app enables users to enhance and enlarge their images in batches by 200% or 400%. Additionally, non-login users can upscale images up to 4000x4000 pixels for free, while paid subscribers can achieve resolutions up to 16000x16000 pixels. ImgUpscaler also stands out for its efficient batch processing and robust privacy measures, making it ideal for both casual users and professionals needing high-quality image enhancements. | 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 Improvement | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Use Cases |
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| Tags | AIimage upscalingface swappingobject removalbatch processing | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| AI-powered image upscaling | ||
| Face swapping | ||
| Object removal | ||
| Batch processing for up to 5 images | ||
| Non-login upscaling up to 4000x4000 pixels | ||
| Paid upscaling up to 16000x16000 pixels | ||
| Portrait Model for facial images | ||
| Detailed Model for intricate details | ||
| Optimized for Anime and Cartoon upscaling | ||
| Robust privacy measures, clearing photos within 24 hours | ||
| 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 Img Upscaler | View New API | |
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