Faster, Leaner, yet Better
A high-quality, fast, and affordable generative AI API service developed by experts in AI optimization
Featured Models
Explore ModelsZ-Image-Turbo
Fast text-to-image with sub-second inference and accurate in-image text rendering.
Motif-Video-T2V-2B
Generate videos from text prompts with Motif-Video-2B.
Motif-Video-I2V-2B
Generate videos from an input image + text prompt with Motif-Video-2B.
SAM-3D-Object
Reconstruct 3D object models from images using SAM 3D Object.
Cosmos-Transfer2.5 General
Multi-control video-to-video generation for Sim2Real transformation. Transform simulation videos to photorealistic using depth, edge, segmentation, and visibility controls.
Supertonic2 Multilingual TTS
Multilingual text-to-speech synthesis supporting Korean, English, Spanish, Portuguese, and French with multiple voice styles.
VOID-Inpaint-V1
Remove objects from video using VOID's quadmask flow or auto SAM3 + Gemini masking.
No more compromising on performance
yetter ensures a production-ready quality for your consumer products. We achieve this by: (1) Leveraging a deep understanding of SW/HW frameworks to test diverse scenarios and identify optimal performance points, and (2) Enhancing the model's core advantages through our expertise in AI model quantization and optimization. All of these technical advantages are passed directly on to you.
Yetter Inference Engine
But we don't stop at just finding the optimal point. Model quantization, serving framework optimization, and low-level technologies that leverage the unique strengths of each hardware - all these combine to form the yetter Inference Engine.
A Tech Stack that Spans the Full HW/SW Framework
Easily integrate into your current pipeline
Seamlessly add the power of asynchronous AI models to your existing workflow without any changes. Our straightforward integration will elevate your development experience. You can use the full power of yetter directly in your web application via our JavaScript package.
import { yetter } from "@yetter/client";
async function main() {
const model = "ytr-ai/flux/dev";
try {
const result = await yetter.subscribe(model, {
input: {
prompt: "Glass teapot on marble, minimal, natural light",
num_inference_steps: 28,
seed: 62481024,
num_images: 4
},
});
console.log("Result:", result);
} catch (err) {
console.error("Error during subscribe:", err);
}
}
main();
