Comparison
Awesome-AIGC-Tutorials vs NExT-GPT
Verdict
Pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry; pick NExT-GPT if nExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications.
Markdown twin · Awesome-AIGC-Tutorials alternatives · NExT-GPT alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | Awesome-AIGC-Tutorials | NExT-GPT |
|---|---|---|
| Maintenance | Dormant (848d since push) As of 3w · github_public_v1 | Dormant (461d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Awesome-AIGC-Tutorials
- Curated tutorials and resources for Large Language Models, AI Painting, and more
- NExT-GPT
- Code and models for ICML 2024 paper on multimodal large language model
Stars
- Awesome-AIGC-Tutorials
- 4.5k
- NExT-GPT
- 3.6k
Forks
- Awesome-AIGC-Tutorials
- 303
- NExT-GPT
- 359
Open issues
- Awesome-AIGC-Tutorials
- 10
- NExT-GPT
- 81
Language
- Awesome-AIGC-Tutorials
- -
- NExT-GPT
- Python
Adopt for
- Awesome-AIGC-Tutorials
- Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry.
- NExT-GPT
- NExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications.
Persona
- Awesome-AIGC-Tutorials
- -
- NExT-GPT
- -
Runtime
- Awesome-AIGC-Tutorials
- -
- NExT-GPT
- -
License
- Awesome-AIGC-Tutorials
- MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors.
- NExT-GPT
- BSD-3-Clause
Last pushed
- Awesome-AIGC-Tutorials
- Mar 31, 2024
- NExT-GPT
- May 13, 2025
Categories
- Awesome-AIGC-Tutorials
- Developer Tools, LLM Frameworks, Model Training
- NExT-GPT
- LLM Frameworks, Model Training
Trust and health
Days since push
- Awesome-AIGC-Tutorials
- 848d
- NExT-GPT
- 461d
Open issues (now)
- Awesome-AIGC-Tutorials
- 10
- NExT-GPT
- 81
Stars delta
- Awesome-AIGC-Tutorials
- Unknown
- NExT-GPT
- -1 (30d)
Open issues delta
- Awesome-AIGC-Tutorials
- Unknown
- NExT-GPT
- 0 (30d)
Owner type
- Awesome-AIGC-Tutorials
- Organization
- NExT-GPT
- User
OSV dependency advisories
- Awesome-AIGC-Tutorials
- No lockfile (source not queried)
- NExT-GPT
- Published findings
Full report
- Awesome-AIGC-Tutorials
- Trust report
- NExT-GPT
- Trust report
Choose Awesome-AIGC-Tutorials if…
- License: Awesome-AIGC-Tutorials is MIT, NExT-GPT is BSD-3-Clause.
- 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, midjourney.
- Also covers Developer Tools.
- 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 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.
Choose NExT-GPT if…
- License: NExT-GPT is BSD-3-Clause, Awesome-AIGC-Tutorials is MIT.
- Pricing: NExT-GPT is open-source under BSD-3-Clause license, indicating a free but restricted-for-commercial-use model without associated direct monetary cost..
- Requirements: Min 8 GB RAM; - The repository notes that the code and models are intended for non-commercial use only and must not be used in any illegal or harmful contexts.; - Potential commercial users should seek approval from the authors, making it unsuitable without prior authorization if commercial application is considered..
- Tags unique to NExT-GPT: foundation-models, instruction-tuning, large language models, visual-language-learning.
- - If you are conducting research specifically centered around multimodal interactions (combining text with visual elements) aligning with the scope of NExT-GPT.
When NOT to use NExT-GPT
- - When your project necessitates a production-ready solution, as NExT-GPT is positioned purely for research and non-commercial use.
- - If your application requires the model to be used in contexts like illegal, harmful, violent, racist, or sexual purposes, since its usage guidelines explicitly prohibit such applications.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (luban-agi/Awesome-AIGC-Tutorials) · observed Jul 28, 2026
- GitHub forks (luban-agi/Awesome-AIGC-Tutorials) · observed Jul 28, 2026
- Last push (luban-agi/Awesome-AIGC-Tutorials) · observed Mar 31, 2024
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NExT-GPT/NExT-GPT) · observed Aug 18, 2026
- GitHub forks (NExT-GPT/NExT-GPT) · observed Aug 18, 2026
- Last push (NExT-GPT/NExT-GPT) · observed May 13, 2025
- License file (BSD-3-Clause) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-AIGC-Tutorials 4.5k · NExT-GPT 3.6k (synced Jul 28, 2026).
Common questions
- What is the difference between Awesome-AIGC-Tutorials and NExT-GPT?
- Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. NExT-GPT: Code and models for ICML 2024 paper on multimodal large language model. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-AIGC-Tutorials over NExT-GPT?
- Choose Awesome-AIGC-Tutorials over NExT-GPT when License: Awesome-AIGC-Tutorials is MIT, NExT-GPT is BSD-3-Clause; 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, midjourney; Also covers Developer Tools; 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 NExT-GPT over Awesome-AIGC-Tutorials?
- Choose NExT-GPT over Awesome-AIGC-Tutorials when License: NExT-GPT is BSD-3-Clause, Awesome-AIGC-Tutorials is MIT; Pricing: NExT-GPT is open-source under BSD-3-Clause license, indicating a free but restricted-for-commercial-use model without associated direct monetary cost.; Requirements: Min 8 GB RAM; - The repository notes that the code and models are intended for non-commercial use only and must not be used in any illegal or harmful contexts.; - Potential commercial users should seek approval from the authors, making it unsuitable without prior authorization if commercial application is considered.; Tags unique to NExT-GPT: foundation-models, instruction-tuning, large language models, visual-language-learning; - If you are conducting research specifically centered around multimodal interactions (combining text with visual elements) aligning with the scope of NExT-GPT.
- 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 NExT-GPT?
- - When your project necessitates a production-ready solution, as NExT-GPT is positioned purely for research and non-commercial use. - If your application requires the model to be used in contexts like illegal, harmful, violent, racist, or sexual purposes, since its usage guidelines explicitly prohibit such applications.
- Is Awesome-AIGC-Tutorials or NExT-GPT more popular on GitHub?
- Awesome-AIGC-Tutorials has more GitHub stars (4,522 vs 3,637). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-AIGC-Tutorials and NExT-GPT open source?
- Yes - both are open-source projects on GitHub (Awesome-AIGC-Tutorials: MIT, NExT-GPT: BSD-3-Clause).
- Where can I find alternatives to Awesome-AIGC-Tutorials or NExT-GPT?
- GraphCanon lists graph-backed alternatives at Awesome-AIGC-Tutorials alternatives and NExT-GPT alternatives (Awesome-AIGC-Tutorials markdown twin, NExT-GPT markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Awesome-AIGC-Tutorials or NExT-GPT?
- Awesome-AIGC-Tutorials: Dormant. NExT-GPT: 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 NExT-GPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-AIGC-Tutorials trust report; NExT-GPT trust report.