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Add pipeline support for prompt Embeds [40 LPT] #32
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Interested! |
@tegridydev, 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 40 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. |
@tegridydev as discussed in DM I removed you from the bounty so somebody else can tackle it 👍. |
@JJassonn69, if you're interested in taking on this bounty, you can apply similar logic as used in the prompt splitting. Please refer to this link for guidance: Prompt Splitting Example. You can create a function that returns both |
Hello! I'm interested in this bounty if it's already not been assigned |
Hi @nishantkluhera, thank you for your interest in contributing to the Livepeer open-source ecosystem! Unfortunately, this bounty has already been completed by @JJassonn69, and you can view the finished pull request here. It seems we forgot to assign him to the task—apologies for any confusion. We hope to see you tackle another bounty soon! 🚀 |
Overview
Currently, applications using the Livepeer pipelines lack a mechanism to prioritize parts of a prompt. This can be achieved using weighted prompts (i.e., prompt embeds). Adding support for weighted prompts in the T2I, I2I, and upscaling pipelines would greatly enhance the user experience. We invite the community to help us implement this important feature 🛠️.
Required Skillset
Bounty Requirements
++/--
syntax should be recognized by Livepeer, creating a prompt embed to be passed through the superresolution pipeline.Implementation Tips
gen_openapi.py
file and themake
command in the main folder to regenerate the OpenAPI spec.How to Apply
Warning
Please wait for the issue to be assigned to you before starting work. To prevent duplication of effort, submissions for unassigned issues will not be accepted.
Thank you for your interest in contributing to our project 💛!
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