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GLIDE is a generative model designed for text-to-image synthesis, image editing, and the contextual filling of masked image regions. It uses a guided diffusion process to transform random noise into high-resolution imagery that aligns with descriptive text prompts. The system provides specialized capabilities for modifying existing visuals, including the ability to alter specific image elements and iteratively refine selected regions through text-driven guidance. It also functions as an inpainting tool, filling missing or masked sections of an image with new content that blends naturally with
Chao Gong 1 · Dong Li 2 · Yingwei Pan 2 · Jingjing Chen 1,3✉️ · Ting Yao 2 · Tao Mei 2
Inpainting using Denoising Diffusion Probabilistic Models
[ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inpainting, object removal, image outpainting and shape-guided object inpainting with only a single model. 一个高质量多功能的图像修补模型，可以同时支持插入物体、移除物体、图像扩展、形状可控的物体生成，只需要一个模型
The main features of open-mmlab/powerpaint are: Image Inpainting Models.
Open-source alternatives to open-mmlab/powerpaint include: openai/glide-text2im — GLIDE is a generative model designed for text-to-image synthesis, image editing, and the contextual filling of masked… ascend-huawei/ascend-canada. charlesgong12/freeinpaint — Chao Gong 1 · Dong Li 2 · Yingwei Pan 2 · Jingjing Chen 1,3✉️ · Ting Yao 2 · Tao Mei** 2. crashmoon/progressive-generative-networks — Semantic Image Inpainting with Progressive Generative Networks. dengyecode/hourglassattention — python - m visdom.server python train.py --noflip --norotation --noaugment --imgfile yourdata --lr 1e-4 python… andreas128/repaint — Inpainting using Denoising Diffusion Probabilistic Models.
