A beginner's guide to the Z-Image-Turbo model by Prunaai on Replicate

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This is a simplified guide to an AI model called Z-Image-Turbo maintained by Prunaai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

z-image-turbo is a compact text-to-image model with 6 billion parameters created by Tongyi-MAI and optimized by prunaai. The model prioritizes speed without sacrificing quality, making it suitable for applications requiring rapid image generation. Compared to similar options like wan-image and wan-2.2-image, which generate 2-megapixel images, this model focuses on efficient inference with customizable output dimensions. For users seeking faster alternatives, flux-schnell offers another optimized option.

Model inputs and outputs

The model accepts text prompts and various configuration parameters to control the image generation process. Output is delivered as a single image file in your chosen format. The architecture supports flexible image dimensions and quality settings, allowing you to balance speed against visual fidelity based on your specific needs.

Inputs

Prompt: Text description of the image you want to generate
Width: Image width from 64 to 2048 pixels (default 1024)
Height: Image height from 64 to 2048 pixels (default 1024)
Num Inference Steps: Number of generation steps from 1 to 50 (default 8)
Guidance Scale: Influence of the prompt on generation from 0 to 20 (default 0, recommended at 0 for Turbo models)
Seed: Optional random seed for reproducible results
Output Format: Choose between PNG, JPG, or WebP formats
Output Quality: Quality level from 0 to 100 for JPG and WebP formats (default 80)