Feature Proposal: Multi-Model Image Generation in One Request

Current Behavior:
Users can select only one image generation model per request. To compare outputs, they must submit the same prompt multiple times, manually switching models each time — which is time-consuming and inefficient.

Proposed Enhancement:
Allow users to select multiple image models simultaneously and generate one image per selected model in a single request.

User Experience Flow:

1. In the image generation modal, users can toggle checkboxes next to each model (e.g., Z-Image Turbo, Lustify v7, Qwen Image 2 Pro, etc.).

2. After entering a prompt, user clicks “Generate” — and the system runs the prompt through all selected models concurrently.

3. Results are returned in a side-by-side or grid layout, each clearly labeled with the model name used.

4. Optional: Add a “Compare Mode” toggle to highlight differences or allow direct image swapping for visual comparison.

Benefits:

• Saves time: No need to re-enter the same prompt repeatedly.

• Improves decision-making: Instant visual comparison of model outputs.

• Encourages exploration: Users can discover which model best fits their creative needs without friction.

• Enhances UX: Reduces clicks and cognitive load.

Technical Notes:

• Backend should queue and parallelize model inference jobs.

• Frontend must handle asynchronous result rendering and preserve model attribution.

• Add a limit (e.g., max 5 models per request) to prevent abuse or system overload.

Example Use Case:

User enters prompt: “Cyberpunk cat wearing sunglasses, neon city background, cinematic lighting”
Selects: Z-Image Turbo, Lustify v7, Qwen Image 2 Pro
Gets 3 images instantly — one per model — to compare style, detail, and composition.

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This feature would make Venice.ai’s image generation significantly more powerful for creative professionals, artists, and prompt engineers who need to evaluate model behavior at a glance.