This project demonstrates image generation using **Stable Diffusion** with **ControlNet** for depth conditioning. We generate images based on textual prompts, depth maps, and metadata provided. The objective is to explore the effect of various factors on image generation such as input size, batch size, precision, and aspect ratios.
active 2024-10-04 → 2024-10-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2024-10-04 to 2024-10-06. Pushes: 35 total, peak 19 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| nitikasingh21 | 35 | 35 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.