GA Release

The Multi-Agent WebGPU Engine & Interactions API are now generally available.

Part 18: Generating Images in Chat with Gemini

Learn how inline image requests work, which provider path the app currently uses, and how to retry a failed request.

Category: Visual Generation • Read Time: 18 min read • Updated: August 2026

1. Inline Image Generation Experience

Accelerated Logic AI generates visual assets directly within assistant message bubbles. Rather than switching to an external tool, images render in-line alongside text and code explanations.

📷 Viewfinder Loading State

While generating, a 100x100px animated viewfinder card displays a scanning laser grid, rotating corner brackets, and centered sparkle icons.

🖼️ Interactive Image Display

Images fade in capped at 50vh height. Hovering presents a resolution badge (e.g. 1024×576) and a 1-click PNG download button.

2. How to Trigger Image Generation

Image generation requires explicit intent in your user prompt to prevent accidental API calls:

Effective Prompts: "Generate an image of a cyberpunk skyline at night", "Create a logo: minimalist coffee shop icon", "Draw a picture of a futuristic dashboard".

Multi-Agent Pipeline Note: In Multi-Agent mode, only the Finalizer agent is permitted to emit the <image_gen prompt="..." /> system tag.

3. Image Models & Aspect Ratios

Image generation currently uses the Google Gemini image-generation route. The Settings page describes image generation but does not currently provide a model picker or a fallback toggle.

Current provider path
  • Image requests use the Google Gemini image-generation endpoint configured by the app.
  • Model availability and requirements depend on the connected Google account and current API support.
  • The current Settings interface does not expose a selector for choosing individual image model IDs.
Aspect Ratios & Auto-Enhance
  • Ratios: 1:1 (Square), 16:9 (Landscape), 9:16 (Portrait), 3:2, 2:3, 4:3, 3:4.
  • Auto-Enhance Prompt: LLM pre-expands short prompts into detailed lighting and composition directives.

4. Optional Pollinations retry

The image error card can offer a user-initiated retry through Pollinations. This is a separate third-party service; its availability, account requirements, and usage limits can change. The automatic fallback setting is disabled by default and is not exposed as a control in the current Settings interface.

Manual retry: If the error card offers Force Retry via Pollinations AI, you can choose to send that image request to the alternate service.

5. Prompting Best Practices & Image Reuse

Detailed Styling Directives: Specify lighting ("cinematic soft lighting"), artistic media ("3D Octane render", "flat vector"), and perspective ("rule of thirds, macro lens").

Vision Model Iteration: Download generated PNGs or paste them directly back into the chat composer to refine visuals with vision-enabled models (e.g. "Use this layout as reference, but change the palette to warm sunset tones").

6. Troubleshooting Image Generation

401 Key Rejected? Verify that your Google AI Studio key starts with valid credentials and has Generative Language API enabled.

Safety Policy Block (400)? Rephrase your prompt to avoid trademarked brand names or restricted content filters.

429 rate limit? Check the connected provider's current quota and retry later. If the error card offers the Pollinations action, it can be tried manually; the app does not promise automatic failover.