Hi everyone,
I'm currently working at NSFWCoders.com, where we're developing the Candy AI Clone API that focuses on advanced image generation features using conversational AI. The goal is to create a system capable of producing dynamic visual responses alongside text-based interactions - something similar to a hybrid of chat and generative AI models.
While building this, I've been exploring several technical aspects such as:
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Handling large-scale real-time image generation requests
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Optimizing transformer models for both text and visual outputs
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Managing context memory for continuous, personality-driven conversations
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Integrating APIs efficiently without performance bottlenecks
I'd love to get insights from other developers working on multi-modal AI systems.
How do you handle performance issues when combining text generation and image rendering in the same architecture?
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Albert wick
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