SDEdit VS Paint-by-Example

Compare SDEdit vs Paint-by-Example and see what are their differences.

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SDEdit Paint-by-Example
1 2
848 967
0.0% -
0.0 3.3
about 1 year ago 5 months ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SDEdit

Posts with mentions or reviews of SDEdit. We have used some of these posts to build our list of alternatives and similar projects.

Paint-by-Example

Posts with mentions or reviews of Paint-by-Example. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SDEdit and Paint-by-Example you can also consider the following projects:

clean-fid - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Paint-by-Sketch - Stable Diffusion-based image manipulation method with a sketch and reference image

DeepSIM - Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.

data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

DeepCache - [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

sketchedit - SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)