Enhancement Proposals for AIGC Direction Focusing on Strengthening Single Agent Capabilities

[waterflier]

Description:

Our current AIGC workflow, particularly with the story_maker, has ventured into the realm of multi-agent collaboration to tackle intricate problems. However, from the vantage point of delivering genuine end-user value, I firmly believe we should pivot the core direction of AIGC towards amplifying the capabilities of a single Agent.

Here are the key areas and associated tasks that I recommend we focus on:

1. Image Generation:

   • Integrate with DALL·E3 by adding a simple text_to_image node.
   • Enhance the single agent that uses SD, essentially replacing a less intuitive WebUI with an LLM-based agent for better SD utilization.
     • Assist users in clarifying their requirements before initiating the drawing process, possibly through interactive keyword prompts.
     • Use image analysis to determine effective construction methods.
     • Guide users towards popular effects, automating processes such as model downloads. This could be our breakthrough.
     • Steer users towards building and using their own Personal LoRA.

2. Image Editing:

   • There are two approaches to this:
     • Agent-based linguistic control: This approach not only aims at fulfilling traditional image editing needs but also includes advanced features like:
       • Beauty enhancement (Skin retouching, etc.)
       • Automatic exposure adjustments.
       • Even automatic composition.
     • Conventional image editing via WebUI.

The newly released GPT-V does not have an API available for use yet, but I think it can be of great help in solving the problems mentioned above.

3. Voice Generation and Editing:

   • Based on a given text and scenario, produce voice outputs in a specific voice imprint.
     • Train to derive one's own voice imprint, or "lora".
   • Given a voice input (or video), extract its content. An example use-case would be transcribing meeting records and identifying speakers.
   • Real-time translation: Accept voice input and provide translated output. For instance, translating a Chinese speech into English while retaining the original voice imprint.

4. Sound Editing:

   • Remove background noises.
   • Isolate a particular voice or extract background music (Karaoke mode).

By concentrating our efforts on enhancing a single Agent's capabilities, I believe we can create a more streamlined, user-centric experience. Feedback and additional suggestions are most welcome.

[alexsunxl]

Stable Diffusion hava a extension plugin to help users train personal lora.
It may requires 5~10 personal photos from different angles.
I would try to call this function through LLM and api, and integrate it into the AIOS. 🤔