Outpainting Pipeline Implementation on ai-runner Bounty [$850]

[JJassonn69]

Overview

We are excited to announce the expansion of our AI Network with the introduction of Outpainting pipeline. This feature will enable advanced image expansion and modification techniques, improving the versatility of our AI network. 🔥

We are reaching out to the community to contribute to the implementation of this this essential pipeline within the AI-worker side of the AI-Network. Your contribution will be an invaluable addition to our image editing capabilites, pushing Livepeer AI Network at the forefront of AI-media generation. 🚀

Required Skillset

• Proficiency with FastAPI.
• Strong skills in Python.
• Familiarity with Docker and Hugging Face 🤗.

Bounty Requirements

1. Implementation: Develop a functional /out-paint route and pipeline within the AI-worker repository. This new pipeline should be accessible through Docker on port 8700.
2. Functionality: The pipeline must be able to take an initial image, and text input as a prompt, return an modified image as the result. It should also allow for optional parameters like negative_prompt, controlnet_conditioning_scale, num_inference_steps, and guidance_scale to be adjustable according to the outpainting model utilized.

Scope Exclusions

• This bounty does NOT include the complete end-to-end implementation of this pipeline on the go-livepeer side, such as payment processing or job routing. These elements will be handled by the AI SPE team or in a future bounty.

Implementation Tips

To guide your development of the new pipeline, you can reference recent pull requests where other pipelines were introduced:

• Pull Request #96
• Pull Request #103

Additional pointers:

• Leverage Previous Work: Examine existing implementations of outpainting available in Hugging Face documentation and this space. These can serve as valuable starting points.
• Consult Developer Documentation: Our developer documentation for the worker and runner includes helpful tips for mocking pipelines and direct debugging, speeding up the development process.
• Update OpenAPI Specification: Run the runner/gen_openapi.py script to generate an updated OpenAPI specification.
• Generate Go-Livepeer Bindings: In the main repository directory, execute the make command to generate the necessary bindings, ensuring compatibility with the go-livepeer repository.

How to Apply

1. Express Interest: Comment on this issue to show your interest and explain why you are a great fit for this task.
2. Await Review: Our team will review expressions of interest and select the most suitable candidate.
3. Get Assigned: If chosen, the GitHub issue will be assigned to you.
4. Start Working: Begin the task! If you need help or guidance, comment on the issue or join discussions in the #developer-lounge channel on our Discord server.
5. Submit Your Work: Create a pull request in the relevant repository and request a review.
6. Notify Us: Comment on this GitHub issue when your pull request is ready for review.
7. Receive Your Bounty: Once your pull request is approved, we will arrange the bounty payment.
8. Earn Recognition: Your valuable contributions will be highlighted in our project's changelog.

We appreciate your interest in contributing to our project! 💛

⚠️ WARNING:
Please ensure the issue is assigned to you before beginning work. To avoid duplication of efforts, unassigned issue submissions will not be accepted.

[JJassonn69]

Posted to Livepeer/bounties. Closing it here.