Lightweight text-to-image for quick concepts and volume drafting.
# Z Image Base Versatile foundation model for high-quality creative generation. ## Overview Z Image Base is the foundational model within the Z-Image family, engineered to provide a robust balance between high-fidelity visual quality and broad stylistic versatility. Designed for professional creative workflows, this model excels at interpreting complex natural language prompts to produce diverse, aesthetically pleasing imagery. Whether you are looking for photorealistic textures, stylized artistic compositions, or precise graphical elements, Z Image Base offers the generative range necessary to support varied marketing and analytical requirements. What sets Z Image Base apart is its emphasis on precise prompt adherence and structural integrity. Unlike models that may struggle with complex scene descriptions, Z Image Base is optimized to maintain the spatial relationships and thematic elements defined by the user. This makes it an ideal choice for ad agencies and marketing teams that require consistent output quality across a wide spectrum of visual styles, from minimalist product shots to intricate, narrative-driven illustrations. ## Use Cases * Generating high-resolution hero images for digital marketing campaigns and landing pages. * Creating diverse variations of product mockups to test different visual aesthetics. * Developing custom, brand-aligned social media assets that require specific stylistic consistency. * Producing conceptual storyboards for video production and advertising pitches. * Rapid prototyping of visual concepts for client presentations and mood boards. * Generating unique, royalty-free background imagery for web and print design projects. * Creating consistent character or object assets for multi-channel brand storytelling. ## Parameters The Z Image Base model provides a comprehensive suite of configuration options to fine-tune your output. Users can adjust parameters such as image dimensions, inference steps, and guidance scales to balance speed with creative precision. Please refer to the Input Parameters section in the Pixloop interface for the full technical specifications, including default values and valid ranges for seed control, acceleration modes, and safety checker toggles. ## Tips for Best Results * Start with a clear, descriptive prompt that defines the subject, lighting, and artistic style to leverage the model's high prompt adherence. * Use the negative_prompt field to explicitly exclude unwanted elements, such as "blurry," "low resolution," or specific colors, to refine your final output. * Adjust the guidance_scale between 3 and 7; lower values often yield more creative, diverse results, while higher values force the model to stick strictly to your prompt. * Experiment with different image_size presets to ensure the composition matches your intended platform, such as landscape for web banners or portrait for mobile social media. * If you require a specific look, incorporate stylistic keywords like "cinematic lighting," "macro photography," or "minimalist vector art" to guide the model's aesthetic output. * Utilize the seed parameter to maintain consistency across multiple generations if you are iterating on a specific concept or character design. ## About Z Image Base is developed and maintained by the team at fal.ai, serving as a core component of their generative media infrastructure. As a foundation model, it is built upon advanced diffusion architectures designed to provide enterprise-grade reliability and performance. By focusing on generative diversity and broad stylistic coverage, the Z-Image family represents a significant step forward in accessible, high-performance AI imaging tools for professional creative teams.
Model input reference derived from preset schema.
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
| seed | integer | No | null | The same seed and the same prompt given to the same version of the model will output the same image every time. |
| prompt | string | Yes | null | The prompt to generate an image from. |
| sync_mode | boolean | No | false | If `True`, the media will be returned as a data URI and the output data won't be available in the request history. |
| image_size | select | No | "square_hd" | The size of the generated image. |
| num_images | integer | No | 1 | The number of images to generate. |
| acceleration | select | No | "regular" | The acceleration level to use. |
| output_format | select | No | "png" | The format of the generated image. |
| guidance_scale | number | No | 4 | The guidance scale to use for the image generation. |
| negative_prompt | string | No | "" | The negative prompt to use for the image generation. |
| num_inference_steps | integer | No | 28 | The number of inference steps to perform. |
| enable_safety_checker | boolean | No | true | If set to true, the safety checker will be enabled. |