--- title: "disco-diffusion vs awesome-gpt3" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alembics-disco-diffusion-vs-elyase-awesome-gpt3" tools: ["alembics-disco-diffusion", "elyase-awesome-gpt3"] --- # disco-diffusion vs awesome-gpt3 *GraphCanon updated Aug 6, 2026* ## Verdict Pick disco-diffusion if disco Diffusion is a comprehensive toolkit of Jupyter Notebooks and models for creating advanced AI-generated art and animations, including modes for 3D animation and video input; pick awesome-gpt3 if awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation. [disco-diffusion](https://github.com/alembics/disco-diffusion) reports 7.4k GitHub stars, 1.1k forks, and 72 open issues, last pushed Jul 9, 2023. [awesome-gpt3](https://github.com/elyase/awesome-gpt3) has 4.5k stars, 345 forks, and 26 open issues, last pushed Aug 27, 2023. Figures are from public GitHub metadata via [disco-diffusion's repository](https://github.com/alembics/disco-diffusion) and [awesome-gpt3's repository](https://github.com/elyase/awesome-gpt3). | | [disco-diffusion](/tools/alembics-disco-diffusion.md) | [awesome-gpt3](/tools/elyase-awesome-gpt3.md) | | --- | --- | --- | | Tagline | Generative AI Art and Animation Tools | A collection of demos and articles about the OpenAI GPT-3 API | | Stars | 7,399 | 4,520 | | Forks | 1,089 | 345 | | Open issues | 72 | 26 | | Language | Jupyter Notebook | - | | Adopt for | Disco Diffusion is a comprehensive toolkit of Jupyter Notebooks and models for creating advanced AI-generated art and animations, including modes for 3D animation and video input. | awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation. | | Persona | - | - | | Runtime | - | - | | License | Other | License information not specified, therefore usage rights are uncertain. | | Categories | Developer Tools, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [disco-diffusion](/tools/alembics-disco-diffusion.md) | [awesome-gpt3](/tools/elyase-awesome-gpt3.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 1119d | 1075d | | Archived on GitHub | No | Yes | | Open issues (now) | 72 | 26 | | Owner type | Organization | User | | Full report | [trust report](/tools/alembics-disco-diffusion/trust.md) | [trust report](/tools/elyase-awesome-gpt3/trust.md) | ## Shared compatibility - **Python**: [disco-diffusion](/tools/alembics-disco-diffusion.md) - Python runtime; [awesome-gpt3](/tools/elyase-awesome-gpt3.md) - Python runtime ## Decision facts: disco-diffusion - **Pricing:** freemium - The Disco Diffusion repository is open source under an ambiguous 'Other' license; commercial use may require negotiation with contributors. - **Requirements:** Min 8 GB RAM; Colab-Convert must be installed for .py to .ipynb conversion.; Ensure that python and pip are up to date. - **Adopt for:** Disco Diffusion is a comprehensive toolkit of Jupyter Notebooks and models for creating advanced AI-generated art and animations, including modes for 3D animation and video input. ## Decision facts: awesome-gpt3 - **Requirements:** - No specific technical requirements stated except for engaging with GPT-3 through its API. - **Adopt for:** awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation. - **License detail:** License information not specified, therefore usage rights are uncertain. ## Choose when ### Choose disco-diffusion if… - Pricing: The Disco Diffusion repository is open source under an ambiguous 'Other' license; commercial use may require negotiation with contributors.. - Requirements: Min 8 GB RAM; Colab-Convert must be installed for .py to .ipynb conversion.; Ensure that python and pip are up to date.. - Tags unique to disco-diffusion: ai-art, animation, art generation, notebooks. - Also covers Developer Tools. - Use Disco Diffusion when you specifically need to implement Katherine Crowson's Secondary Model Method or Dango's advanced cutout technique. ### Choose awesome-gpt3 if… - Requirements: - No specific technical requirements stated except for engaging with GPT-3 through its API.. - Tags unique to awesome-gpt3: ai demos, gpt-3 applications. - - When you are looking for specific examples of how to leverage GPT-3's powerful API across different applications ranging from code generation to creative writing. ## When NOT to use disco-diffusion - Avoid Disco Diffusion if the inclusion of Super Resolution or SLIP models is critical to your project's requirements. - Do not use this tool if you are looking for a solution that requires frequent updates and refinements, since development has ceased at version v5.1. ## When NOT to use awesome-gpt3 - - When seeking a direct development tool to integrate GPT-3 into your projects without further curation and customization. 'awesome-gpt3' is an example showcase rather than an SDK. - - If you require specific implementations for certain tasks like SEO optimization or language-specific translation beyond the provided samples, as it mainly contains links to tweets and external sites ## Common questions ### What is the difference between disco-diffusion and awesome-gpt3? disco-diffusion: Generative AI Art and Animation Tools. awesome-gpt3: A collection of demos and articles about the OpenAI GPT-3 API. See the comparison table for live GitHub stats and shared categories. ### When should I choose disco-diffusion over awesome-gpt3? Choose disco-diffusion over awesome-gpt3 when Pricing: The Disco Diffusion repository is open source under an ambiguous 'Other' license; commercial use may require negotiation with contributors.; Requirements: Min 8 GB RAM; Colab-Convert must be installed for .py to .ipynb conversion.; Ensure that python and pip are up to date.; Tags unique to disco-diffusion: ai-art, animation, art generation, notebooks; Also covers Developer Tools; Use Disco Diffusion when you specifically need to implement Katherine Crowson's Secondary Model Method or Dango's advanced cutout technique. ### When should I choose awesome-gpt3 over disco-diffusion? Choose awesome-gpt3 over disco-diffusion when Requirements: - No specific technical requirements stated except for engaging with GPT-3 through its API.; Tags unique to awesome-gpt3: ai demos, gpt-3 applications; - When you are looking for specific examples of how to leverage GPT-3's powerful API across different applications ranging from code generation to creative writing. ### When should I avoid disco-diffusion? Avoid Disco Diffusion if the inclusion of Super Resolution or SLIP models is critical to your project's requirements. Do not use this tool if you are looking for a solution that requires frequent updates and refinements, since development has ceased at version v5.1. ### When should I avoid awesome-gpt3? - When seeking a direct development tool to integrate GPT-3 into your projects without further curation and customization. 'awesome-gpt3' is an example showcase rather than an SDK. - If you require specific implementations for certain tasks like SEO optimization or language-specific translation beyond the provided samples, as it mainly contains links to tweets and external sites ### Is disco-diffusion or awesome-gpt3 more popular on GitHub? disco-diffusion has more GitHub stars (7,399 vs 4,520). Stars measure visibility, not whether either tool fits your constraints. ### Are disco-diffusion and awesome-gpt3 open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to disco-diffusion or awesome-gpt3? GraphCanon lists graph-backed alternatives at [disco-diffusion alternatives](/tools/alembics-disco-diffusion/alternatives) and [awesome-gpt3 alternatives](/tools/elyase-awesome-gpt3/alternatives) ([disco-diffusion markdown twin](/tools/alembics-disco-diffusion/alternatives.md), [awesome-gpt3 markdown twin](/tools/elyase-awesome-gpt3/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/alembics-disco-diffusion-vs-elyase-awesome-gpt3.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, disco-diffusion or awesome-gpt3? disco-diffusion: Dormant. awesome-gpt3: Archived. 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 disco-diffusion and awesome-gpt3? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [disco-diffusion trust report](/tools/alembics-disco-diffusion/trust); [awesome-gpt3 trust report](/tools/elyase-awesome-gpt3/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alembics-disco-diffusion`](/api/graphcanon/graph?tool=alembics-disco-diffusion) - 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/_