Paint-by-Example
Paint-by-Sketch
Paint-by-Example | Paint-by-Sketch | |
---|---|---|
2 | 2 | |
985 | 167 | |
- | - | |
3.3 | 3.6 | |
6 months ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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Paint-by-Example
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This AI Paper Introduces A Novel Image Editing Scenario Called Paint By Example Where You Can Edit A Scene By Painting With A Conditional Image
Quick Read: https://www.marktechpost.com/2022/12/07/this-ai-paper-introduces-a-novel-image-editing-scenario-called-paint-by-example-where-you-can-edit-a-scene-by-painting-with-a-conditional-image/ Paper: https://arxiv.org/pdf/2211.13227.pdf Github link: https://github.com/Fantasy-Studio/Paint-by-Example
- I've downloaded an Exemplar-Guided Text to Image Generator and I need help using it.
Paint-by-Sketch
What are some alternatives?
Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)
DeepCache - [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
diffusiondb - A large-scale text-to-image prompt gallery dataset based on Stable Diffusion
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
stable_diffusion_playground - Playing around with stable diffusion. Generated images are reproducible because I save the metadata and latent information. You can generate and then later interpolate between the images of your choice.