What's inside

One app. Seven studios. Zero cloud.

Everything a local AI workstation needs, in a single native window — each tool talks to the same on-device model.

Chat

Talk to any local GGUF model. Renders live HTML artifacts in a side pane — ask it to build a tool or a game and watch it run.

GGUFlive artifacts

⌘

Saient — the coding agent

A real agent with a PTY terminal and a tool-use loop (read · ls · write · edit · bash). It plans, writes files, runs commands, and fixes its own errors — on your local model, in a sandboxed workspace.

Ctrl · Shift · K — toggle Saient

◐

Image Gen

SDXL text-to-image with LoRA support, schedulers, live progress, and an optional face-detail pass.

SDXLLoRA

▷

Video Gen

Text-to-video and image-to-video with Wan & CogVideoX — frame control, live progress, and an optional refine & upscale pass.

WanCogVideoXi2v

⊙

Vision

Ask questions about any image — describe it, read its text, count objects — with a local Moondream2 analyzer. Paste a screenshot and go.

Moondream2local

♪

Text-to-Speech

Natural, expressive speech via Kokoro voices — generated entirely offline.

Kokoro

⊞

LoRA & Merge

Train your own SDXL LoRAs and merge checkpoints, with a built-in dataset cleaner.

trainmerge

⚡

One engine

Powered by Quartz, Saient's native inference runtime — local model execution with no ONNX Runtime or cloud inference.

QuartznativeVulkan

Guides and use cases

Practical local AI pages.

Useful pages for people searching for prompt makers, local AI agents, image generation, video generation, and private AI setup.

AI prompt maker

Prompt templates for image generation, video generation, chat and agent workflows.

how to prompttemplates

◐

Local AI image generator

SDXL and LoRA image generation on your own machine, with no cloud API keys.

SDXLLoRA

▷

Local AI video generator

Text-to-video and image-to-video workflows with practical prompt guidance.

t2vi2v

⌘

Local AI agent

A guide to Saient's coding agent for files, terminal tasks and verified changes.

coding agentoffline

Quartz inference engine

How Saient runs supported language and image models locally without cloud inference or ONNX Runtime.

Vulkanon-device

How to run AI locally

Install Saient, choose a GGUF model, load it, and use chat, agent, image and video tools offline.

GGUFprivacylocal setup

The agent

It doesn't just answer.
It does the work.

Open the Agent screen, type saient, and hand it a goal. It runs an autonomous plan→act→verify loop until the job is done.

planBreaks the goal down into concrete steps and a JSON plan you can edit.
actReads, writes, edits and runs inside a sandboxed workspace.
verifyChecks its own output, catches errors, and re-plans until it succeeds.
safeWrite mode is off by default; destructive tools ask before running. Every action is logged to an audit trail.

planner · autonomous run

goal › add a /health endpoint + a test

───────────────────────────────

● planning… 3 steps

read server.py

edit server.py +12 −0

write test_health.py

bash pytest -q

✓ 2 passed — goal achieved

Local-first, by design

Your data never leaves the building.

bytes sent to the cloud

API keys required

100%

offline after setup

∞

generations, no metering

[>_<]
/|#|\
/   \

Saient is ready.

Download the desktop app, point it at a GGUF model, and you've got a full AI workshop that answers to nobody but you.

↓ Linux · AppImage ↓ Linux · .deb ↓ Windows installer

v1.0.3 · release notes