Introduction
Technical documentation for dryAPI APIs, integration guides, and operational references.
Fast and affordable inference for open-source AI models
What is dryAPI?
dryAPI provides fast and affordable inference for open-source AI models — without infrastructure overhead.
Run image, video, audio, and text workloads through a single, consistent API.
dryAPI handles GPU orchestration, execution, and scaling so you can focus on building applications, not managing infrastructure.
Under the hood, dryAPI runs on a global, decentralized GPU network, allowing significantly lower inference costs compared to traditional cloud providers.
What you can build
With dryAPI, you can power a wide range of AI applications:
- Image generation — Create and edit images using modern diffusion models
- Text-to-speech — Generate natural-sounding speech with preset voices, voice cloning, or voice design
- Music generation — Create music tracks with lyrics, tempo, key, and style control
- Video AI — Video generation and transcription from YouTube, Twitch, Kick,TikTok and X
- Document & text processing — OCR and text extraction from documents and images
- Multimodal workflows — Combine text, image, audio, and video in a single application
- Image enhancement — Upscale images to higher resolution
A full, up-to-date list of supported models is available here:
- Available models - View all supported AI models and their capabilities
API Reference for AI Assistants
If you are building an AI agent or integrating AI assistance into your development workflow, you can use the llms.txt file below to give your model structured access to the complete dryAPI reference.
The file provides canonical API endpoints, usage documentation, and stable links to all relevant sections of the platform. Simply include or link to this file in your AI tooling or agent configuration to enable accurate and up-to-date access to the dryAPI API.