Skip to content
DATASHEET // COMFYUI-INSPIRE-PACK

Inspire Pack

Regional prompting, segs, and the Lora-Block-Weight system.

OPEN SOURCEVIA COMFYUIRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKPlugin

Requires: ComfyUI

Visit Inspire PackUPDATED 2026-04-30 · DIRECT LINK
github.com/ltdrdata/ComfyUI-Inspire-Pack
Inspire Pack — preview image

HARDWARE REQUIREMENTS //

Runs locally · No GPU

VIA COMFYUI
Min VRAM
None
Rec. VRAM
None
Min RAM
8 GB
Rec. RAM
16 GB
Disk
10 GB
GPU class
No GPU
No Apple SiliconGPU Required

Plug-in for ComfyUI — inherits host requirements.

[ EDITORIAL PICK ]

Why we recommend Inspire Pack

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Inspire Pack the company changes direction.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

VRAM guide

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Plugin

    Drops into comfyui — assuming the host is already set up.

  • Hardware comfort
    Runs anywhere

    No dedicated GPU required.

  • Ecosystem
    Open source

    Source is public — auditable and forkable, no vendor lock.

  • Verification
    Recent

    Catalogue entry last updated 77 days ago — re-verification due soon.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for Inspire Pack

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other custom nodes & extensions tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Inspire Pack.

What is Inspire Pack?

Built by the Impact Pack author (Dr.Lt.Data) as a sister project. Inspire adds the Regional Prompter port (assign different prompts to different image regions), advanced LoRA Block Weight controls, and the SEGS pipeline used by many auto-detailing workflows.

Pros & cons

✓ PROS

  • Regional prompting that actually works on SDXL
  • LoRA Block Weight = fine control over which LoRA layers fire
  • Tight integration with Impact Pack workflows

– CONS

  • Many nodes are 'companion' to Impact Pack — install both
  • Documentation is thin; assumes Comfy fluency

What's actually free?

GPL.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives