Skip to main content
SpringerLink
Log in

CreatiChain: From Creation to Market

  • Conference paper
  • First Online:
Image Analysis and Processing - ICIAP 2023 Workshops (ICIAP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14366))

Included in the following conference series:

  • 185 Accesses

Abstract

CreatiChain is a novel, integrated workflow management system that supports creating and monetizing AI-generated art. The system leverages grammars (Prompt Grammars) for semi-automated prompt generation, advanced AI algorithms for digital art creation, and blockchain technology for NFT minting and placement. The workflow begins with generating creative prompts using Prompt Grammars, offering creators a high level of customization. These prompts are fed into an AI-based art generation platform, producing unique digital art pieces. Once the art is created, the system automatically mints it into an NFT and places it on an NFT marketplace. CreatiChain streamlines access to AI art generation and NFT creation, offering a comprehensive solution for artists, designers, and digital creators to navigate the rapidly evolving digital art landscape.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://cryptopunks.app/.

  2. 2.

    https://boredapeyachtclub.com/.

  3. 3.

    https://www.ibm.com/topics/mean-stack.

  4. 4.

    https://www.midjourney.com/.

  5. 5.

    https://stablediffusionweb.com/.

  6. 6.

    https://opensea.io/.

  7. 7.

    https://rarible.com/.

  8. 8.

    https://docs.nftport.xyz/reference/easy-minting-file-upload.

References

  1. Bao, H., Roubaud, D.: Non-fungible token: a systematic review and research agenda. J. Risk Finan. Manag. 15(5) (2022). https://doi.org/10.3390/jrfm15050215. https://www.mdpi.com/1911-8074/15/5/215

  2. Brade, S., Wang, B., Sousa, M., Oore, S., Grossman, T.: Promptify: text-to-image generation through interactive prompt exploration with large language models. CoRR abs/2304.09337 (2023). https://doi.org/10.48550/arXiv.2304.09337

  3. Evans, E., Evans, E.J.: Domain-Driven Design: Tackling Complexity in the Heart of Software. Addison-Wesley Professional, Boston (2004)

    Google Scholar 

  4. Fowler, M.: Patterns of Enterprise Application Architecture: Pattern Enterpr Applica Arch. Addison-Wesley, Boston (2012)

    Google Scholar 

  5. Garriga, M., Palma, S.D., Arias, M., Renzis, A.D., Pareschi, R., Tamburri, D.A.: Blockchain and cryptocurrencies: a classification and comparison of architecture drivers. Concurr. Comput. Pract. Exp. 33(8) (2021). https://doi.org/10.1002/cpe.5992

  6. Jowers, I., Earl, C.F., Stiny, G.: Shapes, structures and shape grammar implementation. Comput. Aided Des. 111, 80–92 (2019). https://doi.org/10.1016/j.cad.2019.02.001

    Article  MathSciNet  Google Scholar 

  7. Jurafsky, D., Martin, J.H.: Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition, 2nd edn. Prentice Hall series in artificial intelligence, Prentice Hall, Pearson Education International (2009). https://www.worldcat.org/oclc/315913020

  8. Noviello, N., Pareschi, R.: Mybottega: An environment for the innovative production and distribution of digital art. In: Mazzeo, P.L., Frontoni, E., Sclaroff, S., Distante, C. (eds.) Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Lecce, Italy, 23–27 May 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science, vol. 13373, pp. 162–173. Springer, Heidelberg (2022). https://doi.org/10.1007/978-3-031-13321-3_15

  9. Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., Chen, M.: Hierarchical text-conditional image generation with CLIP latents. CoRR abs/2204.06125 (2022). https://doi.org/10.48550/arXiv.2204.06125

  10. Rowe, P.D.G., Reed, C.: Cad grammars. In: Gero, J.S. (ed.) Design Computing and Cognition, pp. 503–520. Springer, Dordrecht (2006). https://doi.org/10.1007/978-1-4020-5131-9_26

    Chapter  Google Scholar 

  11. Treude, C.: Navigating complexity in software engineering: a prototype for comparing gpt-n solutions. CoRR abs/2301.12169 (2023). https://doi.org/10.48550/arXiv.2301.12169

  12. Wang, B., Wang, Z., Wang, X., Cao, Y., Saurous, R.A., Kim, Y.: Grammar prompting for domain-specific language generation with large language models. CoRR abs/2305.19234 (2023). https://doi.org/10.48550/arXiv.2305.19234

  13. Yang, J., et al.: Harnessing the power of llms in practice: a survey on chatgpt and beyond. CoRR abs/2304.13712 (2023). https://doi.org/10.48550/arXiv.2304.13712

Download references

Author information

Authors and Affiliations

  1. Department of Biosciences and Territory, University of Molise, Contrada Fonte Lappone, 86090, Pesche, Italy

    Enrico Maria Aldorasi

  2. Stake Lab, University of Molise, Campobasso, Italy

    Remo Pareschi & Francesco Salzano

Authors
  1. Enrico Maria Aldorasi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Remo Pareschi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Francesco Salzano
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Remo Pareschi .

Editor information

Editors and Affiliations

  1. University of Udine, Udine, Italy

    Gian Luca Foresti

  2. University of Udine, Udine, Italy

    Andrea Fusiello

  3. University of York, York, UK

    Edwin Hancock

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aldorasi, E.M., Pareschi, R., Salzano, F. (2024). CreatiChain: From Creation to Market. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023. Lecture Notes in Computer Science, vol 14366. Springer, Cham. https://doi.org/10.1007/978-3-031-51026-7_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-51026-7_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51025-0

  • Online ISBN: 978-3-031-51026-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation