Paint-by-Example VS DeepCache

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

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Paint-by-Example DeepCache
2 1
985 627
- -
3.3 8.9
6 months ago about 1 month ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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.

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.

DeepCache

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

What are some alternatives?

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

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

e4t-diffusion - Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

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

KVQuant - KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

SUPIR - SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild