[Product Idea] Hiding & Monetizing Core AI Workflow Parameters on CKB + Fiber – Feasibility Check?【产品想法+技术可行性求助】在 CKB + Fiber 上实现 AI 工作流核心参数链上隐藏与付费调用，可行吗？

English CKB Development & Technical Discussion
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Hey Nervos community,I’ve been thinking about a real pain point in the open-source AI image/video generation space (especially ComfyUI users):Many creators spend hours (or even days) fine-tuning workflows, only for others to easily copy, modify slightly, and resell them. The most critical parts are usually just a few numbers — CFG value, Steps, Shift value, etc. Even tiny changes in these parameters can dramatically affect the output quality and efficiency.Product Idea:Store and protect these key parameters using CKB + Fiber while keeping the main workflow open-source and local.Core concept:

  • Keep the bulk of the ComfyUI workflow open and local (respecting the open-source nature).

  • Extract and encrypt only the most critical 3–5 parameters and store them on CKB (data size is tiny, cost is negligible).

  • After payment, use Fiber to call/retrieve the parameters and feed them back to the user’s local ComfyUI.

  • This enables a “pay-per-use” or “pay-per-generation” model for creators to earn ongoing revenue.

Why this fits CKB + Fiber well:

  • Extremely small data size → very low storage cost on CKB

  • It is fully in line with the underlying design of CKB that only stores the most valuable data

  • Fiber can potentially handle the on-chain call + decryption/return flow

  • Seamless integration with existing ComfyUI ecosystem

Questions for CKB and Fiber devs:Is this technically feasible?

  • Any issues with encrypting and storing small parameters on CKB?

  • Can Fiber support asynchronous calls/decryption? (AI generation often takes 30 seconds to several minutes)

  • Would this kind of “on-chain data + paid retrieval” pattern work well with Fiber?

  • Any obvious bottlenecks in cost or performance?

大家好，我最近在研究 ComfyUI 这类开源 AI 图片/视频生成工具，发现一个很现实的痛点：很多创作者（up主）把精心调好的工作流上传、售卖，但因为整个 workflow 基本是明文的，别人稍微改改就能直接转卖或者倒卖，导致原创者花大量时间和算力调出来的参数被轻松复制。尤其是 cfg 值、steps 值、shift 值 这几个核心数字，虽然只占极小的存储空间，但稍微变动一点点，结果和出图效率就会天差地别。我的产品想法是： 把这些最关键的少数几个参数（本质就是几个数字）通过 CKB + Fiber 进行 隐藏 + 链上存储 + 授权调用。核心设计思路（基于聊天里的讨论）：

  1. 工作流主体仍然保持开源/本地运行（尊重 ComfyUI 开源属性），只把最核心的 3-5 个关键参数单独提取出来。

  2. 把这些参数 加密后上链 存到 CKB（占用极小，成本几乎可以忽略）。

  3. 用户付费后，通过 Fiber 实现链上调用（或异步解密），把参数回传给本地 ComfyUI 使用。

  4. 这样既保护了创作者的核心 IP，又能实现 “按次付费” 的商业模式（每次调用收一点费用，创作者有持续收入）。

优点总结：

  • 数据量极小 → CKB 存储成本极低

  • 完全符合 CKB 只保存最有价值数据的底层设计

  • 未来用户越来越多时，也只是一笔客观的链上占用

  • 可以和现有 ComfyUI 生态无缝结合（目前玩开源 AI 图像的基本都在用 ComfyUI）

现在最想请教 CKB 和 Fiber 的专业 dev： 这个方案在技术上是否可行？

  • 加密后的小参数上链存储没问题吧？

  • 调用时是否支持异步解密/回传？（因为 AI 出图通常需要几十秒到几分钟）

  • Fiber 是否能很好地支持这种 “链上数据 + 付费调用” 的场景？

  • 整体成本和性能上有没有明显瓶颈？

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hi @silenceport , this is really good thinking around product market fit. I do think that there is importance in the details here. If the encrypted data is stored on CKB, it is available to everyone, once someone has the decryption key, they can make the data available to anyone. While this may not affect the first user, by the 100th, we can say with certainty that the situation is the same as today.

Would it be possible to for the “vendor” to just do the AI inference and return the image to the customer? I think the user experience and infrastructure is mostly the same and it maintains the objective of your design.