AI Model References

Compare model inputs, outputs, and recorded generation settings. Each model links to its prompt examples.

Google

Veo 3.1

Veo 3.1 is Google's state-of-the-art video generation model from DeepMind, capable of creating high-fidelity videos up to 4K resolution with natively generated audio from text prompts and reference images.

12 prompt examplesView Veo 3.1 reference
OpenAI

GPT Image 2

OpenAI's state-of-the-art image generation and editing model, delivering photorealistic outputs with near-perfect text rendering, multilingual support, precise instruction following, and flexible high-resolution capabilities up to 2K native (extendable to 4K).

25 prompt examplesView GPT Image 2 reference
Google

Nano Banana 2

Google's latest state-of-the-art AI image generation and photo editing model (Gemini 3.1 Flash Image). Delivers Pro-level reasoning, subject/character consistency, accurate text rendering, and production-ready 4K visuals at Flash speed.

9 prompt examplesView Nano Banana 2 reference
ByteDance

Seedance 2.0

Seedance 2.0 is ByteDance's revolutionary multi-modal AI video generation model. It supports text, image, video, and audio inputs for cinematic video creation with director-level control, native audio synchronization, consistent characters, and realistic motion.

5 prompt examplesView Seedance 2.0 reference
Google DeepMind

Gemini Omni

Gemini Omni is Google DeepMind's native multimodal model that creates high-quality videos from any combination of text, image, audio, and video inputs. It delivers advanced world understanding, physics simulation, and natural conversational editing in a single unified system.

2 prompt examplesView Gemini Omni reference
Tongyi-MAI (Alibaba Group)

Z-Image-Turbo

A distilled 6B-parameter text-to-image model optimized for fast photorealistic generation, accurate Chinese and English text rendering, and efficient local inference.

1 prompt examplesView Z-Image-Turbo reference