# phodal/understand-prompt

【🔞🔞🔞 内含不适合未成年人阅读的图片】基于我擅长的编程、绘画、写作展开的 AI 探索和总结：StableDiffusion 是一种强大的图像生成模型，能够通过对一张图片进行演化来生成新的图片。ChatGPT 是一个基于 Transformer 的语言生成模型，它能够自动为输入的主题生成合适的文章。而 Github Copilot 是一个智能编程助手，能够加速日常编程活动。

Repository: https://github.com/phodal/understand-prompt
Canonical: https://ross.abutalabs.com/products/understand-prompt
Language: Jupyter Notebook
License Family: other
Topics: ai, aigc, chatgpt, github-copilot, stable-diffusion
Last push: 2023-03-11T13:25:16+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 92
- inputs: {"age_days": 1292, "days_push": 1271, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5558, forks 440 (observed 2026-08-28T04:09:22.342538+00:00)

## What it is
A Chinese-language tutorial repository (Jupyter Notebook based) exploring AI prompt usage across programming, image generation, and writing. It covers Stable Diffusion image generation, ChatGPT article writing, and GitHub Copilot code generation, plus ideas about 'prompt programming' for low-code workflows.

## Use cases
- learn how to write effective Stable Diffusion prompts
- learn prompt techniques for writing articles with ChatGPT
- learn how to use GitHub Copilot for code generation
- understand prompt programming and low-code AI workflows
- find examples of combining ChatGPT and Copilot in software design
- learn about ControlNet for precise image control

## When to choose
- you want a practical, example-driven introduction to prompting across text, image, and code generation
- you read Chinese and want curated prompt engineering notes with notebooks
- you are exploring AIGC tools like Stable Diffusion, ChatGPT, and Copilot together

## When to avoid
- you need production software or a maintained library rather than educational notes
- you need English-language documentation only
- you want a tool rather than a guide - the author's click-prompt project is the actual tool

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: prompt-engineering, stable-diffusion, llm-inference, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, image-processing, developer-tools
- platform: cross-platform, python
- tags: prompt-engineering, chatgpt, github-copilot, stable-diffusion, aigc, jupyter-notebook, tutorial, chinese-language

## Member repositories
- phodal/understand-prompt (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:22.342538+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:55:38.865470+00:00, confidence not recorded.
  - readme: https://github.com/phodal/understand-prompt (fetched 2026-08-28T04:09:22.342538+00:00, sha 885c599e5e6e)
- Data as of 2026-08-30T08:39:29.467469+00:00.