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ROADMAP

Textopia -- Timeline

2023 Q3:

Objective: Lay the groundwork for the text-to-image generation AI.

  1. Completion of conceptualization, idea, and beta testing for the Textopia project.
  2. Initiation of team building activities.
  3. Definition of art style and visual style for the project.
  4. Outline of mechanics.
  5. Research and Development Phase Initiation:
    • AI Architecture Design and Development:
      • Define neural network architecture for text-to-image and text-to-video synthesis.
      • Experiment with various model architectures such as CNNs, RNNs, or attention-based models.
    • Data Collection and Annotation:
      • Curate diverse datasets of text-image and text-video pairs for training.
      • Annotate data to ensure accurate alignments between textual descriptions and images or videos.

2024 Q1:

  1. Continuation of conceptualization, idea refinement, and beta testing for the Textopia project.
  2. Expansion and strengthening of the team.
  3. Refinement of art style and establishment of visual style.
  4. Analysis of requirements, software design, and development, followed by unit testing.
  5. Pre-alpha testing with milestone releases.
  6. Creation of user flow and UX charts.
  7. Design of customization options and technology stack.
  8. Development of 3D models, animations and VFX compositing, matchmoving and rotoscoping along with prototypes.
  9. Implementation of UI design.
  10. Launch of the Textopia.ai website.
  11. Release of Textopia Functional Teaser.
  12. Publication of Whitepaper v2.1.
  13. Launch of AI personal Assistant and AI Text Generator.
  14. Compliance with KYC and AML regulations.
  15. Introduction of Reward Scheme for Holders:
    • Eligibility for rewards based on TXT holdings.
    • Rewards includes a percentage of transaction fees, revenue from premium features, and periodic airdrops of additional tokens.
    • Transparent communication of the reward scheme to foster trust and engagement among token holders.
  16. Research and Development Continuation:
    • Model Training and Optimization:
      • Implement training pipelines for accelerated model training.
      • Optimize hyperparameters, loss functions, and regularization techniques.
    • Prototype Development:
      • Build a basic prototype to demonstrate text-to-image and text-to-video AI capabilities.
      • Fine-tune model performance with various text inputs.

2024 Q2:

Objective: Refine the AI model and prepare for scalability.

  1. Pinksale Presale conducted.
  2. Launch of Textopia Website v2.
  3. Release of Pre-alpha teaser for Textopia.
  4. CertiK security audit conducted.
  5. Continued compliance with KYC and AML regulations.
  6. Listing on Raydium and OKX.
  7. Coinmarketcap and Coingecko listing.
  8. Model Enhancement and Scaling:
    • Advanced Model Refinement:
      • Continuously fine-tune the model to improve image and video quality.
      • Explore advanced techniques such as self-attention mechanisms and progressive growing GANs.
    • Scalability and Parallel Processing:
      • Develop strategies for distributed training and parallel processing to handle larger datasets.
      • Investigate model distillation and compression techniques for deployment on various devices and platforms.

2024 Q4:

Objective: Prepare for the deployment of Textopia.Ai in real-world applications.

  1. Introduction of new products and services within the app.
  2. Optimization of UI for enhanced user experience.
  3. Opening of Creative Studio for public access.
  4. Conducting Public Beta test for Text To Video Generator.
  5. Release of Textopia wallet/app.
  6. Integration with payment services for eCommerce.
  7. Securing corporate endorsements and sponsorships.

Continuous Improvement and Maintenance

Objective: Sustain the quality and performance of the text-to-image AI tool.

  1. Feedback Mechanisms and Iterative Updates:
    • Establish feedback loops to collect user inputs and improve the AI model through continuous updates and refinements.
    • Iteratively enhance the AI model’s capabilities based on user feedback and emerging technological advancements.
  1. Monitoring and Maintenance:
    • Set up monitoring systems to track performance metrics and address any issues that may arise.
    • Provide regular maintenance to ensure the stability and functionality of the Textopia.Ai system.

2024 Q3:

  1. Alpha launch of Textopia, followed by QA testing and implementation of AI Bot.
  2. Refinement of Image Generator and definition of mechanics.
  3. Integration of usability Web4 testing. 4. Listing on ByBit
  4. Locking of LP and ownership renouncement.
  5. Introduction of voting rights for the Textopia community.
  6. Listing on ByBit
  7. Continuous Improvement and Maintenance:
    • Feedback Mechanisms and Iterative Updates:
      • Establish feedback loops to collect user inputs and improve the AI model through continuous updates and refinements.
      • Set up monitoring systems to track performance metrics and address any issues that may arise.
  8. Research and Innovation:
    • Stay updated with the latest advancements in Quantum AI and image generation technology.
    • Integrate new techniques and enhancements into the Textopia.Ai system to improve its performance and capabilities.

Deployment and Integration (2a)

  1. User Interface and Experience Enhancement:
    • Develop intuitive interfaces for users to interact with the AI tool, providing options for customizations and adjustments to generated images.
  1. Performance Optimization:
    • Conduct performance optimizations to enhance the speed and efficiency of image generation, considering hardware acceleration and real-time generation capabilities.

Continuous Improvement and Maintenance (2a)

  1. Research and Innovation:
    • Stay updated with the latest advancements in AI and image generation technology to integrate new techniques and enhancements into the Textopia.Ai system.