scumble logo
scumble
★ 149
vs
groundingLMM logo
groundingLMM
★ 969

scumble vs groundingLMM

scumble: Scumble is a desktop AI-native image editor designed for ComfyUI and various AI models, enabling inpainting, editing, upscaling, and generation with every edit returning as a new, editable layer. It supports local ComfyUI, cloud services, and direct API keys for popular models, while also featuring an agent-driven command core and advanced layer management.; groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.

01

TL;DR

scumble logo
scumbleVision / Multimodal · ★ 149

AI-powered image creation and editing: Generate new images from scratch or enhance existing ones using AI capabilities.

groundingLMM logo
groundingLMMVision / Multimodal · ★ 969

Interactive visual assistants that understand and respond to user queries about specific image regions.

02

Side-by-Side Comparison

Field
scumble logoscumble
groundingLMM logogroundingLMM
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 149
★ 969
License
GPL-3.0
Apache-2.0
Install Command
winget install scumble
git clone https://github.com/mbzuai-oryx/groundingLMM.git
Updated
1d ago
1mo ago
Open Source
Yes
Yes
Tags
AI Image Editor, ComfyUI, Layer Editing
Multimodal AI, Computer Vision, Natural Language Processing
03

Features

scumble logoscumble
01Every generation result is its own layer: Non-destructive editing with color matching, masking, and blending modes.
02Precise control over generated content using bounding boxes and reference images (e.g., @img1).
03Flexible rendering backends: Choose between local ComfyUI, Comfy Cloud, or direct API keys (e.g., OpenAI, FLUX).
04Drivable by AI agents: All features are exposed as commands via an MCP server, allowing external AI agents (like Claude Desktop) to automate tasks.
05Designed for large files and professional workflows: Supports images up to 65,535 pixels, and exports PSD/OpenRaster files with layers and masks.
groundingLMM logogroundingLMM
01Generates natural language responses seamlessly integrated with object segmentation masks.
02Supports a novel Grounded Conversation Generation (GCG) task with comprehensive evaluation protocols.
03Performs detailed Region-Level Captioning and answers reasoning-based visual questions.
04Excels in Referring Expression Segmentation by creating segmentation masks from text-based queries.
05Provides high-quality Image Captioning and Conversational Style Question Answering.
04

Use Cases

scumble logoscumble
↳AI-powered image creation and editing: Generate new images from scratch or enhance existing ones using AI capabilities.
↳Non-destructive inpainting and outpainting: Precisely fill selected areas or expand image content using AI, with results as new layers.
↳Image upscaling and detail refinement: Enhance image resolution and detail, especially for post-processing AI-generated content.
↳Automated image workflows with AI agents: Control image editing tasks programmatically using external AI assistants for efficiency.
↳Professional-grade layer-based image manipulation: Perform complex multi-layer, mask, and filter operations, supporting large file sizes and industry-standard export formats.
groundingLMM logogroundingLMM
↳Interactive visual assistants that understand and respond to user queries about specific image regions.
↳Automated annotation tools for creating dense, pixel-level grounded datasets.
↳Advanced image analysis for tasks requiring both visual understanding and detailed textual descriptions with segmentation.
FAQ

FAQ

What is the difference between scumble and groundingLMM?
Both scumble and groundingLMM are in the Vision / Multimodal category. scumble has 149 stars, while groundingLMM has 969 stars.
Which is better, scumble or groundingLMM?
The best choice depends on your use case. Choose scumble if AI-powered image creation and editing: Generate new images from scratch or enhance existing ones using AI capabilities., and groundingLMM if Interactive visual assistants that understand and respond to user queries about specific image regions..
Is scumble free or open source?
Yes, scumble is open source on GitHub (GPL-3.0).
Is groundingLMM free or open source?
Yes, groundingLMM is open source on GitHub (Apache-2.0).
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