Integrated Image Generation within Conversational Chat

Subject: Feature Request - Integrated Image Generation within Conversational Chat

Issue Summary: The current workflow for generating images is disjointed and breaks the creative flow. Users must manually switch from a conversational model to an image generation model for each image request. This process is inefficient, especially for iterative design work where a user wants to collaborate with the AI to refine an image through multiple conversational prompts (e.g., "make the background darker," "change the object's color," "move that element to the left").

Proposed Solution: Implement a unified, multi-modal chat experience similar to other leading AI platforms. The conversational model should be able to intelligently detect when an image is requested and internally trigger the image generation process, returning the result directly within the same chat thread.

This would allow for a seamless, back-and-forth collaboration where the user can:

1. Brainstorm and refine concepts with the text AI.

2. Request an image based on the conversation.

3. Give follow-up text instructions to edit or iterate on that image without ever leaving the chat or manually switching models.

Benefit: This integration would dramatically improve the user experience, making Venice a much more powerful and intuitive tool for creative professionals and hobbyists by enabling a fluid, conversational design process.