LOloxias·Oct 3, 2024
In FLUX1.1 [pro] – New SotA text-to-image model from Black Forest Labsleejet
stable-diffusion.cpp
C++2023–2026
leejet / stable-diffusion.cpp
stable-diffusion.cpp
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,Minimax H3,...) inference in pure C/C++
16Distinct people
16Mentions
0Explicit recommenders
8KGitHub stars
What to know before exploring
What it is
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,Minimax H3,...) inference in pure C/C++
GitHub
Where it is used
No documented product use was verified in the last source check.
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 PM UTC.
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HN mentions by year16 dated mentions
Observed mentions: 2023-08-16 05:46:18 UTC to 2026-09-20 16:39:07 UTC.
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View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 5 | 3 | 2 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 2 | 1 | 1 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2026 (partial) | 2026-01-01 00:00:00 UTC | 2027-01-01 00:00:00 UTC | 7 | 1 | 6 |
What Hacker News says
2 sourcesShow HN: Offline sketch to image geneartor in a whiteboard
I'm excited to share my indie product, https://drawing.pics
In this post, I'll share all the technical details behind it.
So, what exactly is DrawingPics?
It's an image-to-image and sketch-to-image generator that runs in a whiteboard, allowing you to draw your draft directly on the canvas and easily generate the desired image.
How does it work from a technical perspective?
TLDR: Miniconda + Diffusers + Electron + Excalidraw
One of the most important aspects of creating this tool was finding a stable diffusion locally inference solution. There are many solutions available, such as https://github.com/leejet/stable-diffusion.cpp and https://github.com/apple/ml-stable-diffusion. I tested the C++ version, but the inference speed was very slow, and Metal GPU support still had issues (you can find relevant issues in their repo). Ultimately, I de
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cided to use python to run it because PyTorch is mature and MPS support is well-established. And I chose Miniconda, because it can create a small, isolated Python environment to run the program.
The AI model should run in the background so that we can continuously produce images while you draw. We need to find an RPC method to enable communication between the Python process and Electron's Node.js process. The easiest way is to run a Python HTTP server, but the memory usage is too high. We need a more lightweight solution, so I used xmlrpc for memory efficiency, although there might be better alternatives that I'm unaware of. The AI inference part is handled by diffusers, which is great, but I had to apply some custom patches to make it work in this situation. This can be a bit challenging if you're not familiar with Python.
For the frontend, I initially used a low-level canvas library and tried to implement a drawing pad from scratch. However, it had too many details, so I chose a more mature option: Excalidraw. It's fantastic, with the only shortcoming being limited API support.
Finally, I combined all these technologies in Electron, ensuring they work smoothly on both the main process and the renderer process.
Ok, Is DrawingPics free to use?
80% of the project is free to use. I only charge a lifetime license for the effort I've put in, as I've spent 4 months on it and made numerous improvements based on user feedback. Currently, only Mac is supported. Windows support will be added later.