WAN 2.7 Image

The professional version of the WAN 2.7 Text to Image model supports output with a maximum resolution of 4K (4096×4096), which can meet the needs of print-grade and large-format material production.

Nano Banana 2.1

Nano Banana 2.1 (gemini-nano-banana-2.1) is Google's next-generation Nano Banana 2 image model, built on Gemini 3.6 Flash. It improves realism, visual design, text rendering and multi-turn character consistency, generating and editing images at 1K, 2K and 4K with up to 14 reference images.

Seedream 5.0 Flash

Seedream 5.0 Flash is the faster tier of ByteDance's Seedream 5 family, with the same prompt fidelity and text rendering capabilities as Pro. It generates a single 1K, 1.5K or 2K image per request in PNG or JPEG, ideal for latency-sensitive workloads.

Seedream 5.0 Pro

Seedream 5.0 Pro is the flagship tier of ByteDance's Seedream 5 image family, focused on prompt fidelity, legible text rendering and photorealistic detail. It generates a single 1K or 2K image per request in PNG or JPEG, with optional reference images for composition and style.

GPT Image 2.5

GPT Image 2.5 Flare Lite is APIPod's cost-oriented routing variant for GPT Image 2.5 Flare rather than a separate OpenAI model. It uses the shared generation and editing contract with lower-cost configured channels, suited to high-volume batch generation on a budget.

GPT Image 2

GPT Image 2 1K low-cost image generation model is a special-priced gpt-image-2 model for 1K resolution. It features an ultra-low price with slightly compromised stability. It is suitable for quick preview and testing and not recommended for production environments.

Nano Banana

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is the ultra-fast, low-cost tier of Google's Nano Banana 2 image generation family. It generates and edits images at 1K resolution with the lowest latency in the family, making it ideal for high-concurrency real-time scenarios such as stickers, recoloring and background changes.

Seedream V4.5

Seedream V4.5 is the latest text-to-image model developed by the ByteDance Seed team. It achieves all-round improvement through overall model scaling and supports professional-level text rendering, diverse artistic styles, and accurate semantic understanding.