About this model
Venice SD35 is Venice's self-hosted, privacy-preserving text-to-image model, built on Stability AI's open-source Stable Diffusion 3.5 architecture. Introduced as the default model in Venice Image Engine V2 in March 2025, it wraps the base SD 3.5 weights in a custom-configured engine powered by a ComfyUI workflow backend. Venice emphasizes that prompts and generated images remain in the user's local browser rather than on company servers, reflecting its privacy-first positioning.
According to Venice's own materials, the team runs a specialized pipeline configured for cleaner, sharper output than an off-the-shelf deployment. The Image Engine V2 release also pairs SD35 with a new upscaling system that doubles or quadruples resolution while preserving the original style and details, a recommended two-step workflow: generate first, then upscale and enhance.
Through the Venice API, the model is addressed by its identifier and accepts pixel-based sizing with width and height, alongside parameters such as step count, negative prompts, style presets, and an option to hide the watermark. The endpoints are OpenAI-compatible.
Venice SD35 sits within a broader Venice generative lineup that includes the adult-oriented image model Lustify SDXL and the audio-generation model Stable Audio 2.5, spanning images, music, and beyond under the same privacy-centric platform.
This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.
Research & Papers
Primary reference paper for this model family, sourced from the HuggingFace model card.
Data sources: Venice API · HuggingFace · Wikipedia · arXiv — enrichment updated 1d ago