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Open source

Image Inpaint(Qwen & InstantX) — v1.0

Fed up? Models too big filling up your storage, nodes a nightmare to install with constant errors, GPU RAM always running out and crashing halfway? RunningHub solves it all! With RTX 4090 24G VRAM in the cloud, all...

Sourcecivitai.com/models/1964721
VersionRelease 2223875 — Image Inpaint(Qwen & InstantX).jsonEstimated VRAMNot yet characterizedDgrade

Runtime profile

Access
External workflow
Status
Listed
Version
Image Inpaint(Qwen & InstantX).json
Source
Civitai
Updated
Oct 16, 2026

Source description

Fed up? Models too big filling up your storage, nodes a nightmare to install with constant errors, GPU RAM always running out and crashing halfway? RunningHub solves it all! With RTX 4090 24G VRAM in the cloud, all models and nodes pre-integrated, just sign up with Gmail to get 1000 free credits and run your workflow instantly — smooth, fast, and hassle-free!

Workflow Link: https://www.runninghub.ai/workflow/1968188418582786050?inviteCode=rh-v1153

Apply Qwen together with InstantX ControlNet to achieve localized inpainting effects, including support for text inpainting. Check the notes to get started with the workflow more quickly.

What you need

Model files
8.7 GiB known subtotal

Remaining hardware or download-size estimates are not available yet.

Requirements

Models

5

Node packs

1

Sources

1 source
CivitaiPrimaryVersion 2223875
civitai.com/models/1964721

Verified Oct 16

Source excerpts

1 excerpt
NoteOct 16civitai.com/models/1964721

Source context: 210 downloads · Type Workflows · Base model Qwen