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Image & Video AI

Ilab Conjure

Ilab Conjure is a local-first AI image-generation and editing workbench with a web interface and CLI. It connects to GPT Image and Gemini models through configured provider connections and includes prompt templates, gallery references, concurrent tasks, a local queue and searchable task history.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Ilab Conjure — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a self-hosted interface or CLI to organize image prompts, references, generation tasks and results while connecting to a supported external model provider.

Who it is for

  • People who want a local WebUI or CLI for image generation and editing through supported providers.
  • Users who reuse prompts and reference images across creative tasks.
  • Individuals organizing multiple image tasks, outputs and prompts in a local history.
  • Developers evaluating or adapting an AGPL-3.0 image-generation application.

Documented uses

  • Generate images from text prompts using a configured GPT Image or Gemini provider.
  • Use reference images and model-supported image-editing workflows.
  • Reuse prompt templates, gallery references, color chips and prompt fragments.
  • Run concurrent generation tasks and track their local queue status.
  • Search, filter, tag, favorite and export historical tasks and their images.
Before you choose

Requirements & limits

  • The project is a workbench; image generation depends on configuring a supported provider and model.
  • The README recommends OpenAI-compatible API mode for shared, team or potentially public use.
  • The advanced local Codex/ChatGPT OAuth mode is described for personal local workflows and may be affected by changes to the internal interface.
  • The documented source setup requires Python 3.11 or later.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install the WebUI from source

Prepare the documented Python environment for running the WebUI.

Before you start

  • Python 3.11 or later
  • Git and network access to clone the repository and install its pinned dependencies

Steps

  1. Clone the repository and change into its directory.

  2. Create a Python virtual environment named .venv.

  3. Install the WebUI requirements using the provided requirements-webui.txt file and pip's require-hashes option.

Expected outcome

The repository and its pinned WebUI dependencies are present in a Python virtual environment; the documented startup step is separate.

Guide limitations

  • These steps cover setup only, not starting the WebUI or connecting a provider.
  • The README's manual startup command is truncated in the available documentation.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
kadevin/ilab-conjure · Official homepage title · retained in its source language
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