
Image Generation Template
Image Generation Starter
A Next.js OpenAI image generation starter with a responsive prompt studio, server-side image route, and gallery workflow.
Next.js multimodal chatbot templates for image explanations, vision-language model apps, image URL input, OpenRouter SDK integrations, and mobile AI chat interfaces.
Direct answer
A multimodal chatbot template lets users ask questions across text and visual inputs. In a Next.js app, this usually means an image-aware chat UI, server-side model route, vision-language model configuration, and streaming answer display.
Template collection

Image Generation Template
A Next.js OpenAI image generation starter with a responsive prompt studio, server-side image route, and gallery workflow.

Image Generation Template
An ad creative image generator starter for campaign variants and prompt packs.

Image Generation Template
An OpenAI image generation studio starter with prompt controls and gallery state.

Image Generation Template
A logo concept generator starter for brand exploration and creative direction.

Image Generation Template
A product-shot generator starter for ecommerce image prompts and variation workflows.

Image Generation Template
A social post image generator starter for platform-specific creative briefs.

OpenRouter Chatbot Template
A canonical Next.js OpenRouter chatbot template for multi-model AI chat, free model experimentation, streaming responses, model variant comparison, and secure server-side OpenRouter API key handling.

AI Chatbot Template
A full-stack JavaScript starter for building a ChatGPT-style multimodal chatbot with Next.js App Router, OpenRouter SDK streaming, image URL input, mobile responsive UI, and server-side API key handling.
It is an AI app starter that accepts text plus image input and sends the request to a vision-capable model through a server-side route.
Use the Multimodal Chatbot template for image URL input, OpenRouter SDK integration, and a vision-language model flow.
Multimodal chat reasons over visual inputs, while RAG retrieves evidence from documents or knowledge bases before answering.