wangkai930418/DPL
[NeurIPS 2023] Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
This tool helps visual artists, graphic designers, or marketers refine existing images by editing them based on text descriptions. You provide an image and a text prompt (like "change the car to red"), and it generates a modified image reflecting your textual instructions. It's designed for anyone who needs precise control over image elements through text-based editing.
111 stars. No commits in the last 6 months.
Use this if you need to perform targeted, text-guided edits on specific objects or regions within an image, such as changing colors or adding details, without affecting other parts of the image.
Not ideal if your image already looks good, as the core method is designed to fix issues related to cross-attention during the editing process, or if you need to ensure perfect editing quality every time.
Stars
111
Forks
5
Language
Python
License
—
Category
Last pushed
May 15, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/wangkai930418/DPL"
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...