z_image_bf16 The full-step sibling of Turbo — same model line, maximum detail.
No GPU. No setup. Cancel anytime.
Z-Image is the quality tier of the Z-Image line: the same architecture as Turbo, run at full step counts for sharper detail, cleaner texture, and better adherence on dense prompts.
It sits at the same price point as FLUX.2 [dev] and Qwen Image 2512 — pick between them by aesthetic preference; all three are strong general-purpose flagships.
On the Sogni API you pay per render in Spark (1 Spark = $0.005). Prefer a flat rate? The Sogni app runs Z-Image and 100+ other models credit-free under fair use.
| Configuration | Spark | USD |
|---|---|---|
| 1024 × 1024 · 25 steps | 4.00 Spark | $0.02 |
One Sogni API key reaches every model on the Supernet — call Z-Image by id.
import { SogniClient } from '@sogni-ai/sogni-client';
const client = await SogniClient.createInstance({
appId: crypto.randomUUID(),
apiKey: process.env.SOGNI_API_KEY,
network: 'fast',
});
const project = await client.projects.create({
type: 'image',
modelId: 'z_image_bf16',
positivePrompt: 'a slothicorn surfing a wave of liquid paint, studio lighting',
numberOfMedia: 1,
});
const [url] = await project.waitForCompletion();
console.log(url); // result link — download within 24h curl https://api.sogni.ai/v1/creative-agent/workflows \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $SOGNI_API_KEY" \
-d '{
"input": {
"title": "First render",
"steps": [{
"id": "step1",
"toolName": "generate_image",
"arguments": { "prompt": "a slothicorn surfing a wave of liquid paint, studio lighting", "model": "z-image" }
}]
},
"confirm_cost": true
}' REST workflow alias: z-image. Pin the exact id with the SDK. Full reference at docs.sogni.ai.
Real generations from Sogni. Hit Use prompt to open the app with Z-Image selected and the full prompt preloaded.
Most platforms ration credits or rent a cloud GPU by the hour. Sogni gives you a flat monthly price for credit-free fair-use generation, powered by a creator-owned GPU network — or per-render Spark pricing if you'd rather pay as you go via the API.
One flat price in the app. Generate under fair use without a per-image meter.
Image, video, music, and language models in one workspace and one API key.
Prefer pay-as-you-go? Call Z-Image by id and pay in Spark.
Runs on a decentralized GPU network where workers share subscription revenue.
Z-Image is the full-capacity, undistilled open-source text-to-image model from Alibaba's Tongyi-MAI lab — the foundation of the Z-Image family. The standard variant favors maximum fidelity, taking more sampling steps than Z-Image Turbo for the highest-quality, most detailed photorealistic output, and it renders legible text (including English and Chinese) inside images. It's released under the permissive Apache-2.0 license.
Same family, different trade-off. Z-Image Turbo is distilled for speed — photorealistic images in roughly eight steps. Standard Z-Image is the undistilled, full-capacity model: it takes more sampling steps to favor maximum fidelity and the most detailed output. Both are on Sogni and both are credit-free fair-use, so you can pick the right one per job.
Yes — covered jobs are credit-free under fair-use. There are no per-image credits to buy, but active-job concurrency, generate queue limits, and fair-use controls apply. Covered jobs run on Sogni's shared GPU network and may queue during peak demand; heavy-usage based throttles reset each UTC day.
Sogni Unlimited is $20/month (or $199/year). Unlimited Pro is $50/month (or $498/year) and adds higher throughput, higher queue priority, and larger supported outputs where available. Every plan starts with a 3-day free trial and you can cancel anytime.
Absolutely — Z-Image follows long, structured prompts faithfully. The examples above show complete, unedited prompts (some several hundred words) and the exact image each produced. Hit "Use prompt" to load the full prompt into the app and reproduce or remix it.
Z-Image is Apache-2.0 licensed, which permits commercial use of what you create. Always review the current model and Sogni terms for the specifics of your use case.
Create in the app, or build with the API. Your call.