ROADMAP
Textopia -- Timeline
2024 Q3:
Objective: Lay the groundwork for the text-to-image generation AI.
- Completion of conceptualization, idea, and beta testing for the Textopia project.
- Initiation of team building activities.
- Definition of art style and visual style for the project.
- Outline of mechanics.
- 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.
- AI Architecture Design and Development:
2025 Q1:
- Continuation of conceptualization, idea refinement, and beta testing for the Textopia project.
- Expansion and strengthening of the team.
- Refinement of art style and establishment of visual style.
- Analysis of requirements, software design, and development, followed by unit testing.
- Pre-alpha testing with milestone releases.
- Creation of user flow and UX charts.
- Design of customization options and technology stack.
- Development of 3D models, animations and VFX compositing, matchmoving and rotoscoping along with prototypes.
- Implementation of UI design.
- Launch of the Textopia.ai website.
- Release of Textopia Functional Teaser.
- Publication of Whitepaper v2.1.
- Launch of AI personal Assistant and AI Text Generator.
- Compliance with KYC and AML regulations.
- 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.
- 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.
- Model Training and Optimization:
2025 Q2:
Objective: Refine the AI model and prepare for scalability.
- Pinksale Presale conducted.
- Launch of Textopia Website v2.
- Release of Pre-alpha teaser for Textopia.
- CertiK security audit conducted.
- Continued compliance with KYC and AML regulations.
- Listing on Raydium and OKX.
- Coinmarketcap and Coingecko listing.
- 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.
- Advanced Model Refinement:
2025 Q4:
Objective: Prepare for the deployment of Textopia.Ai in real-world applications.
- Introduction of new products and services within the app.
- Optimization of UI for enhanced user experience.
- Opening of Creative Studio for public access.
- Conducting Public Beta test for Text To Video Generator.
- Release of Textopia wallet/app.
- Integration with payment services for eCommerce.
- Securing corporate endorsements and sponsorships.
Continuous Improvement and Maintenance
Objective: Sustain the quality and performance of the text-to-image AI tool.
- 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 modelās capabilities based on user feedback and emerging technological advancements.
- 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.
2025 Q3:
- Alpha launch of Textopia, followed by QA testing and implementation of AI Bot.
- Refinement of Image Generator and definition of mechanics.
- Integration of usability Web4 testing. 4. Listing on ByBit
- Locking of LP and ownership renouncement.
- Introduction of voting rights for the Textopia community.
- Listing on ByBit
- 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.
- Feedback Mechanisms and Iterative Updates:
- 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)
- 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.
- 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)
- 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.