PoseForge

PoseForge is a local-first image studio that combines user-supplied identity photos and pose references to generate consistent visual outputs.

PoseForge is a local-first studio application designed to generate consistent images and videos using existing AI subscriptions and APIs. Users upload one to four identity photos and a pose reference to produce new visual compositions with controlled camera, lighting, and styling. The application runs locally using an embedded PGlite database to store character libraries, pose references, generation history, and metrics on the user machine. It supports interchangeable generation engines including Codex CLI, Google Antigravity, ComfyUI, OpenAI API, Google Gemini, Replicate, fal.ai, Higgsfield, and Dreamina. The platform normalizes references and assembles multi-image prompts before sending data to the selected provider.

PoseForge at a glance

Best for: Designer
Runs on: Web, macOS, Windows, Linux, self-hosted, open source
Pricing: Free
Released: October 2026
Category: AI image tool
Website: github.com/vishwakulkarni/poseforge

Key features

Stores character libraries and generation history locally
Supports up to four identity slots per generation
Handles pose reference uploads and multi-pose sheet splitting
Provides camera, lighting, styling, and fidelity controls
Runs seven interchangeable engines in Studio mode
Offers free-form node workflows in Advanced Studio
Calculates local usage, cost, and latency metrics

Use it for

Generating consistent character images across different poses
Transferring poses from reference photos to new subjects
Managing reusable character and pose libraries
Comparing visual outputs across multiple AI engines

Alternatives to PoseForge

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Poselab MCP — It gives AI models precise spatial numbers and anatomical limits for 3D posing.
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Leonardo — Generates images and videos with custom AI models and real-time canvas tools.
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