Development of an AI Co-Pilot for ComfyUI #1828
Replies: 6 comments 4 replies
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Making a model that can turn a prompt into a ComfyUI workflow would be the first step to making something like this and would be very cool. |
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Another quick experiment using ChatCPT code interpreter. Just to see if it can learn from workflow json and image. I feel that with proper instructions and dataset, we can teach ChatGPT about the basic structure of ComfyUI |
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Last night, I tried asking ChatGPT-4V to see one of the workflow diagram and tell me what it does |
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Hi! we're trying to build something similar to this! we're starting off with a site called https://comfyworkflows.com/ that lets ppl share, search, & discuss ComfyUI workflows. would love any feedback! :) I really like how powerful/flexible ComfyUI is, and would be super cool if it was also more accessible for ppl! |
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Another tool to make ComfyUI more accessible is a sort of "education/learning mode" where the AI takes the user step by step to help build simple workflows in real time, explaining about the utility of the nodes. Like a built-in interactive tutorial. Later on, this can be upgraded and applied to existing workflows (complex ones) where the user can build it with AI assistance, step by step to fully understand how the workflow was built before using it. Thoughts? |
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I’m a UX Architect and would be interested in contributing to the UX of the learning mode and/or the AI co-pilot. DM me if interested. |
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Noted. Thanks and will get back... |
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Teaching GPT to link nodes and changing data is trivial. The real magic is cataloging all nodes JSON individually, all possible settings each node can have and the caveats with it's use (limitations, ticks), this data can then be used by GPT to build workflows with specific tasks. A GPT coaching and fine tuner expert can help with this. |
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That would indeed be magical. We should take and run an experiment with
only a few core nodes at first.
…On Tue, Nov 21, 2023 at 10:39 AM WAS ***@***.***> wrote:
Teaching GPT to link nodes and changing data is trivial. The real magic is
cataloging all nodes JSON individually, all possible settings each node can
have and the caveats with it's use (limitations, ticks), this data can then
be used by GPT to build workflows with specific tasks.
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is this project still active, or has it gone someplace else? -- im interested |
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Objective:
To simplify the learning curve and enhance the management of ComfyUI projects by introducing an AI co-pilot that provides real-time guidance and support to users.
Description:
ComfyUI's robust and modular diffusion GUI is a testament to the power of open-source collaboration. However, with a myriad of nodes and intricate connections, users can find it challenging to grasp and optimize their workflows. By integrating an AI co-pilot, we aim to make ComfyUI more accessible and efficient.
Features of the AI Co-Pilot:
Guided Learning: The co-pilot will offer step-by-step tutorials and dynamic tooltips, explaining the function and interplay of various nodes, making the learning process intuitive.
Project Management: With a bird's-eye view of the project, the co-pilot will suggest optimal node arrangements, highlight potential bottlenecks, and offer solutions for streamlining processes.
Node Discovery: Users will receive recommendations for custom nodes, tailored to their specific use cases, based on the vast contributions of the ComfyUI community.
Deployment Assistance: The AI will offer guidelines on best practices for deploying projects, ensuring that the final output is both efficient and robust.
Interactive Q&A: Users can ask the co-pilot questions directly, getting instant clarifications on any aspect of ComfyUI, from basic functions to advanced techniques.
Benefits:
Faster onboarding for new users, reducing the initial overwhelm.
Enhanced efficiency for experienced users, enabling them to harness the full potential of ComfyUI.
Streamlined project management, minimizing errors and redundancies.
Conclusion:
An AI co-pilot for ComfyUI is not just a tool but a companion, bridging the gap between intricate technicalities and user-friendly interactions. This development will make ComfyUI more adaptable, inclusive, and efficient, catering to both novice and expert users alike.
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