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local editing

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ShiZhen AI
ShiZhen AI
Sep 21, 2026 · Artificial Intelligence

Qwen-Image-2.1: 7B DiT Unifies Text-to-Image, Editing & Transparent Output

Qwen-Image-2.1 releases a 7B-parameter Single-Stream DiT that unifies text-to-image, multi-reference editing up to 10 images, native RGBA transparency, and local region editing, with 33.1GB BF16 weights under a non-commercial research license and a self-reported 60.28 benchmark score.

DiTQwen-Image-2.1RGBA transparency
0 likes · 12 min read
Qwen-Image-2.1: 7B DiT Unifies Text-to-Image, Editing & Transparent Output
Design Hub
Design Hub
Aug 9, 2026 · Artificial Intelligence

Grok Image 2.0 Launch: Treating Image Editing as a Serious Tool

Grok Image 2.0, released on August 7, adds precise local editing, multi‑reference composition, Smart Resize and templating to its Quality Mode, and while it shows strong visual layout capabilities, third‑party tests reveal weaknesses in Chinese text accuracy, style stability and fine‑grained edits, prompting a cautious but enthusiastic adoption for early‑stage image production.

AI image generationGrok Image 2.0Smart Resize
0 likes · 13 min read
Grok Image 2.0 Launch: Treating Image Editing as a Serious Tool
James' Growth Diary
James' Growth Diary
Jun 6, 2026 · Artificial Intelligence

Master GPT‑Image‑2: Multi‑Round Iteration, Local Editing, Batch Generation, Reference Images

This guide explains how to unlock GPT‑Image‑2’s four advanced capabilities—multi‑round iteration, natural‑language local editing, multi‑image generation, and reference‑image mode—by showing concrete prompts, code snippets, best‑practice formulas, performance data, and common pitfalls to avoid.

GPT Image 2batch generationimage generation
0 likes · 15 min read
Master GPT‑Image‑2: Multi‑Round Iteration, Local Editing, Batch Generation, Reference Images
DataFunTalk
DataFunTalk
Jan 8, 2023 · Artificial Intelligence

Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Images

The paper introduces ABPN, an Adaptive Blend Pyramid Network that achieves precise, high‑quality skin retouching and garment wrinkle removal on 4K‑8K photos in real time by combining a context‑aware local retouching layer with a novel adaptive blend pyramid layer, addressing challenges of artifact‑free detail preservation and efficient high‑resolution processing.

Computer Visionadaptive blend pyramiddeep learning
0 likes · 16 min read
Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Images