Z image Turbo
Ultra-fast, photorealistic text-to-image generation
Ultra-fast, photorealistic text-to-image generation built for creators and developers. Z Image Turbo delivers crisp 1024px outputs, consistent characters and styles, and first-frame latency as low as 0.7s—optimized for 8–12GB VRAM and lean cloud deployments.
Features
- Turbo inference: Latency-optimized sampling for instant feedback and rapid iteration.
- High fidelity: Sharp textures, balanced lighting, clean edges at 768–1024px.
- Prompt + negative prompt: Steer composition and remove artifacts or unwanted styles.
- Style presets: One-click cinematic, product, portrait, and illustration looks.
- History & downloads: Keep recent generations handy and export in seconds.
- Production-ready: Safe defaults, rate limits, and observability for reliable scaling.
- Consistency: Stable subjects and styles for batch jobs and brand assets.
- Lightweight: Runs locally on 8–12GB VRAM; deploy easily to cost-efficient clouds.
Use Cases
- Product photography: Consistent lighting and angles for ecommerce listings and ads.
- Marketing creatives: Rapid campaign visuals and on-brand social assets.
- Game & character design: Lock a character style and generate many poses without drift.
- Storyboards & concept art: Fast ideation with clean, print-ready frames.
- UI/UX mockups: Drop-in assets for decks, prototypes, and handoff.
- Batch generation: Scalable pipelines for catalogs, variations, and A/B testing.
Comments
Launch on-brand visuals the same day—no retouching needed. See how teams ship faster: https://www.zimage-turbo.org/blog
The 0.7s first-frame latency is impressive—that kind of speed is crucial for iterative design workflows. I'm particularly interested in the "consistency" feature for maintaining stable subjects across batch jobs. For those of us building AI tools with image generation backends, could you share more about the API's concurrency limits and whether there's support for webhook callbacks on completion? The 8-12GB VRAM requirement also makes this accessible for local deployment, which is a smart positioning against cloud-only competitors.
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Comments
Launch on-brand visuals the same day—no retouching needed. See how teams ship faster: https://www.zimage-turbo.org/blog
The 0.7s first-frame latency is impressive—that kind of speed is crucial for iterative design workflows. I'm particularly interested in the "consistency" feature for maintaining stable subjects across batch jobs. For those of us building AI tools with image generation backends, could you share more about the API's concurrency limits and whether there's support for webhook callbacks on completion? The 8-12GB VRAM requirement also makes this accessible for local deployment, which is a smart positioning against cloud-only competitors.
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