Make `num_inference_steps` configurable in I2I and I2V pipelines [10 LPT]

[rickstaa]

Overview

Currently, users can specify the num_inference_steps parameter in the T2I (Text-to-Image) pipeline (see the implementation here). However, this parameter is not supported in the I2I (Image-to-Image) and I2V (Image-to-Video) pipelines. We invite builders in the community to implement this functionality 🔧. By completing this bounty, you'll help enhance the flexibility and functionality of our AI pipelines, benefiting the entire community.

Requirements

Parameter Implementation:

• Enable users to specify the num_inference_steps for the I2I and I2V pipelines.

Default Value:

• The default num_inference_steps should remain the same as the current value.

Compatibility:

• Ensure this parameter works with all models in the I2I and I2V pipelines.

Implementation Tips

Reference Implementation:

• Review the implementation of num_inference_steps in the T2I route and pipeline for guidance on adding this feature.

Development Guide:

• Consult the AI runner development guide for information on testing your implementation.

OpenAPI Specification:

• After completing your implementation, run the gen_openapi.py file and the make command in the main folder to regenerate the OpenAPI spec.

How to Apply

1. Express Your Interest: Comment on the issue to let us know you're interested.
2. Wait for Review: Our team will review expressions of interest within 14 days and select the best candidate.
3. Get Assigned: If selected, we'll assign the GitHub issue to you.
4. Start Working: Begin your work! For help or guidance, join 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 the GitHub issue when your pull request is ready for review.
7. Receive Your Bounty: Once your pull request is approved, we'll arrange the bounty payment.

Thank you for your interest in contributing to our project 💛!