Engineering deep dives on the systems behind adult AI products. Topics include how AI companions remember users and stay in character, how Stable Diffusion and Flux compare for NSFW image generation, and which language, image and voice models platforms such as OurDream.ai and Candy AI appear to run.
They are written for technical founders and engineers choosing an architecture: vector databases and persona cards, fine-tuning ecosystems and licences, VRAM, latency and cost per generation.
Related services: AI Model TrainingAI Integration ServicesNSFW Image Generation API
A production-grade comparison of Stable Diffusion and Flux for NSFW image generation in 2026 — architectures, base NSFW capability, fine-tuning ecosystems, licensing, VRAM and latency, cost economics, and the decision framework NSFW Coders uses on real builds.
An informed analysis of the AI models OurDream and Candy AI appear to be running — LLMs, image generation, voice synthesis, and memory architecture. What founders building competing platforms can learn from the inferred tech stacks.
The technical breakdown of how production AI companion memory actually works — vector vs structured memory, personality engines, emotional state tracking, monetisation tiers, and the architecture that determines retention.