deAPI Blog

Tutorials, guides and insights on AI infrastructure, image generation, voice synthesis, video processing and building with decentralized GPU networks.

May 22, 2026

LTX-2.3 Video Generation Guide

Most AI video models take a text prompt and guess what motion looks right. LTX-2.3 listens. Lightricks’ 22-billion-parameter DiT model accepts audio alongside a text prompt and generates video synchronized to the waveform. A character’s lips match the spoken words down to individual phonemes, while a drummer’s arms land on every snare hit the audio […]

16 min read Read more

May 14, 2026

Use Your OpenAI SDK with deAPI

Your app already uses the OpenAI SDK. Now it can hit deAPI through that exact client – just point it at a different URL. deAPI now supports the OpenAI API format. Swap two parameters in your client initialization, and your existing code connects to image generation, TTS, transcription, and embedding models running on decentralized GPUs. […]

3 min read Read more

May 8, 2026

Z-Image Turbo Prompting Guide: Formula, Tips, and 5 Example Prompts

You type “1girl, solo, masterpiece, best quality” into Z-Image Turbo and wonder why the output looks generic. That prompt syntax was built for Stable Diffusion. Z-Image speaks a different language entirely. Under the hood, it’s a 6-billion-parameter single-stream diffusion transformer (S3-DiT) that processes text and image tokens in one unified sequence. Instead of parsing comma-separated […]

8 min read Read more

Apr 29, 2026

How to Transcribe YouTube Videos with AI

Most transcription tutorials start with “first, install yt-dlp.” Then you download the video, extract the audio track, convert it to the right format, and upload it to a speech-to-text API. Four steps before you get a single word of text. deAPI skips all of that. You send a YouTube URL to the /audio/transcriptions endpoint, and […]

6 min read Read more

Apr 29, 2026

Qwen3 TTS: How to Use Preset Voices, Voice Cloning, and Voice Design

Most text-to-speech APIs hand you a dropdown of preset voices and call it a day. Qwen3 TTS goes further. Built on the Qwen3 LLM backbone, it offers three distinct modes: pick a preset voice for instant results, clone any voice from a 10-second audio sample, or describe a completely new voice in plain English and […]

8 min read Read more

Apr 29, 2026

Prompting FLUX.2 Klein: What Works, What Doesn’t, and Why

FLUX.2 Klein doesn’t follow the same rules as Stable Diffusion or even its predecessor, FLUX.1. Black Forest Labs built this model from scratch on a new MMDiT architecture, swapping the old T5+CLIP text encoder for Qwen3. The result is an image generation model that reads your prompts more like an LLM than a diffusion model. […]

8 min read Read more

Free tier available
Access to all models
No credit card required

Start Building with AI Today

Get $5 credits Read the Docs

Migration assistance available talk to an engineer