Closed rickstaa closed 3 months ago
@rickstaa i am interested in this i request you to assign me in this .
@rickstaa i am interested in this i request you to assign me in this .
@lukiod, thank you for your interest in implementing this bounty. I reviewed your GitHub profile and your experience with Python. I'm happy to announce that you are accepted to work on this bounty and qualify for the 25 LPT reward 🎉. Welcome to the Livepeer open-source community 🚀. I have provided the necessary information in this issue, but if anything is unclear, please don't hesitate to comment below or reach out in the #🛋│developer-lounge channel on our Discord server.
I increased the bounty amount to 30 LPT since due to complications in the OneDiff software the task took a lot longer than estimated.
here is my report https://github.com/lukiod/T2I-and-I2I-Report
here is my report https://github.com/lukiod/T2I-and-I2I-Report
High quality report 🚀. Thanks again for your OpenSource contribution to the Livepeer ecosystem. I will contact you in DM to ensure you get your bounty reward 🪙.
Overview
Inference speed is crucial for our applications, and we aim to enhance the performance of our T2I and I2I pipelines. Previous optimizations like DeepCache have improved inference times but at the expense of image quality. We are interested in exploring whether another optimization, OneDiff, can provide better results. As we are currently focused on the core AI subnet software, we are inviting community builders to conduct this research in exchange for a software bounty. If OneDiff proves effective, we will create another bounty to implement this optimization in the T2I and I2I pipelines. The successful researcher will have the first opportunity to take on this new bounty, allowing them to implement this potentially valuable feature for the community and accelerate our pipelines ⚡.
Required Skillset
Bounty Requirements
The following items are NOT included in this bounty:
Required models
Text-to-Image
Image-to-image
Implementation Tips
Avoid testing OneFl directly on the livepeer/ai-worker repository, as its complexity may hinder your process. Instead, create a simple inference Python script for your tests.
How to Apply
Thank you for your interest in contributing to our project 💛!