sakalond

sakalond

Corpus Hub contributor since 2026-10-29

sakalond's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus
1selected commit
40files
2,212lines
★ 1,219GitHub stars on repo

Totals across every corpus @sakalond appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the StableGen corpus

sakalond/StableGen: Transform your 3D texturing workflow with the power of generative AI, directly within Blender!

Example questions
Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.
Search the GitHub repository sakalond/StableGen with XERJ (https://hub.xerj.org/corpus/sakalond--stablegen).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/sakalond/StableGen StableGen && git -C StableGen checkout 6fb05d5ffa3771f5ce953a21f1b07b924b620451
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./StableGen --url http://127.0.0.1:9200 --prefix stablegen --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: GPL-3.0. Read it for the approach only, do not copy code.

corpus sakalond--stablegen · AI, prompts and agents
Related corpora: laurentvv/generator-assets, PieroFra/auto-copy-transforms-def
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1,219

sakalond/StableGen

Transform your 3D texturing workflow with the power of generative AI, directly within Blender!

On GitHub: 254 commits · 104 forks · created 2025-05 · last push 2026-10-28
Languages: Python 100%
6fb05d5ffa add experimental qwen 2.1 turbo, moss image and fibo 2.0 architecture…
selected commit: 40 files · 2,212 lines · Python · stablegen

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

live on the hub · licence clearedcorpus sakalond--stablegenAIGPL-3.0blendercontrolnetipadapterstable-diffusiontextureqwen-image-edit agreed 2026-10-29
XERJ Corpus Hub contributor badge
[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/sakalond/badge.svg)](https://hub.xerj.org/contributors/sakalond)

Included with the author's permission (email, 2026-10-29), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.