Big-Brother-Pikachu/Where2edit
Official PyTorch implementation for "Where You Edit is What You Get: Text-Guided Image Editing with Region-Based Attention" (Pattern Recognition)
This project helps graphic designers and artists precisely edit images using text descriptions. You input an image and a text prompt (e.g., 'make her hair blonde'), and it outputs an edited image where only the specified region has changed. This is ideal for creatives who need to make targeted adjustments to images based on verbal cues.
No commits in the last 6 months.
Use this if you need to modify specific parts of an image (like changing hair color or adding glasses) using simple text commands, without affecting other regions.
Not ideal if you need to generate entirely new images from scratch or perform complex, non-localized image transformations.
Stars
10
Forks
—
Language
Python
License
—
Category
Last pushed
Oct 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/Big-Brother-Pikachu/Where2edit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
bytedance/InfiniteYou
🔥 [ICCV 2025 Highlight] InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
River-Zhang/ICEdit
[NeurIPS 2025] Image editing is worth a single LoRA! 0.1% training data for fantastic image...
muzishen/IMAGHarmony
🧩 IMAGHarmony 🧩: Controllable image editing with consistent object quantity and layout. A...
AMAP-ML/FE2E
[CVPR 2026] Beyond Generation: Advancing Image Editing Priors for Depth and Normal Estimation
TencentARC/BrushNet
[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting...