Z Image Base

Z Image Base

Playground

Z-Image-Base is a 6 billion-parameter text-to-image model with full CFG support. Supports negative prompting and fine-tuning capabilities for maximum control over image generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Z-Image Base

Z-Image Base is a 6-billion parameter text-to-image model from Tongyi-MAI that generates photorealistic images with optional reference image guidance. Provide a text prompt alone, or add a reference image to guide the composition, style, or subject — all at an incredibly affordable price.

Why Choose This?

• Reference image guidance Optionally provide a reference image to influence the generated output’s composition, style, or subject matter.

• Flexible output sizing Customize width and height up to 1024px for any aspect ratio you need.

• Strength control Fine-tune how much the reference image influences the output with the strength parameter.

• Prompt Enhancer Built-in tool to automatically improve your prompts for better results.

• Ultra-affordable Just $0.01 per image — perfect for high-volume generation and experimentation.

Parameters

Strength Guide (with Reference Image)

• Lower values (0.2-0.4): Strong reference influence, output closely follows the reference image
• Medium values (0.5-0.7): Balanced blend of reference and prompt
• Higher values (0.8-1.0): Prompt dominates, reference serves as loose inspiration

How to Use

Text-to-Image (No Reference)

1. Write your prompt — describe the image you want to create.
2. Add negative prompt (optional) — specify what to avoid.
3. Set dimensions — adjust width and height for your needs.
4. Run — submit and download your image.

With Reference Image

1. Upload a reference image — to guide the generation’s composition or style.
2. Write your prompt — describe the desired output.
3. Adjust strength — control how much the reference influences the result.
4. Run — submit and download your generated image.

Pricing

Best Use Cases

• Rapid Prototyping — Generate multiple concepts quickly at minimal cost.
• Style-guided Generation — Use reference images to maintain consistent aesthetics.
• Content Creation — Produce visuals for social media, blogs, and marketing.
• Creative Exploration — Experiment freely with different prompts and settings.
• Batch Generation — Create large volumes of images affordably.

Pro Tips

• Use the Prompt Enhancer to automatically improve your descriptions.
• For pure text-to-image, be specific about style, lighting, and composition.
• When using a reference image, start with strength around 0.6 and adjust based on results.
• Use negative_prompt to avoid common issues like “blurry, distorted, low quality”.
• Keep the same seed to iterate on a specific composition while tweaking the prompt.
• Lower strength values make output follow the reference more closely; higher values give the prompt more creative freedom.

Notes

• When no image is provided, the model runs in pure text-to-image mode.
• The strength parameter only applies when a reference image is provided.
• enable_sync_mode is only available through the API, not in the web interface.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/z-image/base" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "negative_prompt": "",
    "size": "1024*1024",
    "strength": 0.6,
    "seed": -1,
    "output_format": "jpeg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"