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Your request will cost $0.01 per run.
For $1 you can run this model approximately 100 times.
One more thing::





Z-Image-Turbo LoRA is a personalised version of Tongyi-MAI’s 6B-parameter Z-Image-Turbo model. It keeps the same 8-step, ultra-fast sampler and low VRAM footprint, while letting you plug in up to three LoRA adapters to inject your own styles, characters, or brand identity into each generation.
Where many diffusion models need dozens of steps, Z-Image-Turbo LoRA stays aggressively optimised around 8 sampling steps. On top of that, it adds LoRA hooks so you can steer the visual style without retraining the base model—perfect for interactive products, dashboards, and large-scale backends that still need a branded look.
• Photorealistic output at speed Generates high-fidelity, realistic images suitable for product photos, hero banners, and UI visuals—now with your own LoRA styles layered on top.
• Bilingual prompts and text Understands prompts in English and Chinese, and can render multilingual on-image text, ideal for cross-market campaigns and UI screenshots.
• LoRA-powered customisation Attach up to 3 LoRAs per request to add a specific art style, character look, or brand aesthetics without touching the base weights.
• Low-latency, low-step design Only 8 function evaluations per image deliver extremely low latency, ideal for chatbots, configuration tools, design assistants, and any “type → image” workflow.
• Friendly VRAM footprint Runs well in 16 GB VRAM environments, reducing hardware costs and making local or edge deployments more realistic—even with LoRAs enabled.
• Scales for bulk generation The efficient sampler keeps large jobs—catalogues, continuous feeds, or mass thumbnail generation—practical, even when every image uses one or more LoRAs.
• Reproducible generations A controllable seed parameter lets you recreate previous images or generate small, controlled variations for brand safety and experimentation.
prompt – natural-language description of the scene, style, and any on-image text (English or Chinese).
size (width / height) – choose the output resolution that fits your use case.
seed – set to -1 for random results, or use a fixed integer to make outputs reproducible.
loras – optional list of up to three LoRA adapters:
<owner>/<model-name> or a direct .safetensors URL.You can click “Add Item” in the loras panel to add 1–3 LoRAs. They are combined during generation, so a single prompt can mix, for example, a character LoRA, a style LoRA, and a brand-colour LoRA.
For detailed, step-by-step guidance on finding, uploading, and using LoRAs on WaveSpeedAI, see our LoRA tutorials How to use LoRA.
Simple per-image billing:
stability-ai/sdxl-lora – Stability AI’s SDXL LoRA hub, offering a wide range of ready-made styles and subjects for fast, lightweight customisation on top of the SDXL base model.
wavespeed-ai/qwen-image/edit-plus-lora – Qwen Image Edit Plus with LoRA support, combining strong semantic understanding with style-controllable, localised image editing.
wavespeed-ai/flux-2-dev/edit-lora – FLUX.2 [dev] Edit enhanced with LoRA adapters, enabling prompt-based image editing that can also match specific art styles, characters, or brand looks.