--- title: "Awesome-AIGC-Tutorials vs Learning-Prompt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/luban-agi-awesome-aigc-tutorials-vs-thinkingjimmy-learning-prompt" tools: ["luban-agi-awesome-aigc-tutorials", "thinkingjimmy-learning-prompt"] --- # Awesome-AIGC-Tutorials vs Learning-Prompt *GraphCanon updated Jul 28, 2026* ## Verdict Pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry; pick Learning-Prompt if learning-Prompt is an accessible online course for understanding prompt crafting with a focus on ChatGPT and Midjourney. [Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) reports 4.5k GitHub stars, 303 forks, and 10 open issues, last pushed Mar 31, 2024. [Learning-Prompt](https://learningprompt.wiki) has 5.3k stars, 394 forks, and 16 open issues, last pushed Sep 17, 2023. Figures are from public GitHub metadata via [Awesome-AIGC-Tutorials's repository](https://github.com/luban-agi/Awesome-AIGC-Tutorials) and [Learning-Prompt's repository](https://github.com/thinkingjimmy/Learning-Prompt). | | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | [Learning-Prompt](/tools/thinkingjimmy-learning-prompt.md) | | --- | --- | --- | | Tagline | Curated tutorials and resources for Large Language Models, AI Painting, and more | Free prompt engineering online course with ChatGPT and Midjourney tutorials | | Stars | 4,522 | 5,314 | | Forks | 303 | 394 | | Open issues | 10 | 16 | | Language | - | CSS | | Adopt for | Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. | Learning-Prompt is an accessible online course for understanding prompt crafting with a focus on ChatGPT and Midjourney. | | Persona | - | - | | Runtime | - | - | | License | MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. | Other | | Categories | Developer Tools, LLM Frameworks, Model Training | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | [Learning-Prompt](/tools/thinkingjimmy-learning-prompt.md) | | --- | --- | --- | | Days since push | 848d | 1045d | | Open issues (now) | 10 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/luban-agi-awesome-aigc-tutorials/trust.md) | [trust report](/tools/thinkingjimmy-learning-prompt/trust.md) | ## Shared compatibility - **ChatGPT**: [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) - Works with ChatGPT; [Learning-Prompt](/tools/thinkingjimmy-learning-prompt.md) - Works with ChatGPT ## Decision facts: Awesome-AIGC-Tutorials - **Requirements:** No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial. - **Adopt for:** Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. - **License detail:** MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. ## Decision facts: Learning-Prompt - **Pricing:** freemium - The course content is free for users who want to learn about crafting prompts without any upfront costs. Advanced features are not specified within the repository summary provided. - **Adopt for:** Learning-Prompt is an accessible online course for understanding prompt crafting with a focus on ChatGPT and Midjourney. ## Choose when ### Choose Awesome-AIGC-Tutorials if… - License: Awesome-AIGC-Tutorials is MIT, Learning-Prompt is Other. - Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.. - Tags unique to Awesome-AIGC-Tutorials: ai, aigc, deep-learning, llm. - Also covers LLM Frameworks, Model Training. - If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources. ### Choose Learning-Prompt if… - License: Learning-Prompt is Other, Awesome-AIGC-Tutorials is MIT. - Pricing: The course content is free for users who want to learn about crafting prompts without any upfront costs. Advanced features are not specified within the repository summary provided.. - Tags unique to Learning-Prompt: prompt-engineering. - When you need specific tutorials on how to craft prompts for ChatGPT or generate images with Midjourney, as opposed to learning generic AI tool usage. ## When NOT to use Awesome-AIGC-Tutorials - Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. - Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis. ## When NOT to use Learning-Prompt - If looking for a course tailored to tools other than ChatGPT and Midjourney, as this learning resource centers around these two technologies. - Not recommended if you seek in-depth programming knowledge related to AI development; Learning-Prompt focuses solely on prompt engineering. ## Common questions ### What is the difference between Awesome-AIGC-Tutorials and Learning-Prompt? Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. Learning-Prompt: Free prompt engineering online course with ChatGPT and Midjourney tutorials. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-AIGC-Tutorials over Learning-Prompt? Choose Awesome-AIGC-Tutorials over Learning-Prompt when License: Awesome-AIGC-Tutorials is MIT, Learning-Prompt is Other; Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.; Tags unique to Awesome-AIGC-Tutorials: ai, aigc, deep-learning, llm; Also covers LLM Frameworks, Model Training; If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources. ### When should I choose Learning-Prompt over Awesome-AIGC-Tutorials? Choose Learning-Prompt over Awesome-AIGC-Tutorials when License: Learning-Prompt is Other, Awesome-AIGC-Tutorials is MIT; Pricing: The course content is free for users who want to learn about crafting prompts without any upfront costs. Advanced features are not specified within the repository summary provided.; Tags unique to Learning-Prompt: prompt-engineering; When you need specific tutorials on how to craft prompts for ChatGPT or generate images with Midjourney, as opposed to learning generic AI tool usage. ### When should I avoid Awesome-AIGC-Tutorials? Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis. ### When should I avoid Learning-Prompt? If looking for a course tailored to tools other than ChatGPT and Midjourney, as this learning resource centers around these two technologies. Not recommended if you seek in-depth programming knowledge related to AI development; Learning-Prompt focuses solely on prompt engineering. ### Is Awesome-AIGC-Tutorials or Learning-Prompt more popular on GitHub? Learning-Prompt has more GitHub stars (5,314 vs 4,522). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-AIGC-Tutorials and Learning-Prompt open source? Yes - both are open-source projects on GitHub (Awesome-AIGC-Tutorials: MIT, Learning-Prompt: Other). ### Where can I find alternatives to Awesome-AIGC-Tutorials or Learning-Prompt? GraphCanon lists graph-backed alternatives at [Awesome-AIGC-Tutorials alternatives](/tools/luban-agi-awesome-aigc-tutorials/alternatives) and [Learning-Prompt alternatives](/tools/thinkingjimmy-learning-prompt/alternatives) ([Awesome-AIGC-Tutorials markdown twin](/tools/luban-agi-awesome-aigc-tutorials/alternatives.md), [Learning-Prompt markdown twin](/tools/thinkingjimmy-learning-prompt/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/luban-agi-awesome-aigc-tutorials-vs-thinkingjimmy-learning-prompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Awesome-AIGC-Tutorials or Learning-Prompt? Awesome-AIGC-Tutorials: Dormant. Learning-Prompt: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Awesome-AIGC-Tutorials and Learning-Prompt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-AIGC-Tutorials trust report](/tools/luban-agi-awesome-aigc-tutorials/trust); [Learning-Prompt trust report](/tools/thinkingjimmy-learning-prompt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials`](/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_