Enhance Image Prompt
The Enhance Image Prompt block uses a language model to rewrite or generate prompts intended for image generation.
Enhance or generate image prompts with AI
The Enhance Image Prompt block uses a language model to rewrite or generate prompts intended for image generation. It takes a raw input prompt and returns a refined version with added detail covering elements like style, lighting, colors, and composition. Optionally, it can also produce a negative prompt — a description of what the image should avoid — by making a second model call when that option is enabled.
The block has two required configuration points: the initial prompt text to work from, and a boolean flag indicating whether a negative prompt should also be generated. You can specify destination variable names to store the enhanced prompt and, if applicable, the negative prompt separately. A custom system prompt can be provided to override the default behavior, giving you control over how the language model approaches the enhancement task.
This block fits into workflows that involve image generation, where prompt quality directly affects output. It can sit upstream of an image generation block, taking a short or rough description and expanding it before passing the result along. It works equally well for refining an existing prompt or generating a detailed one from scratch.
What you can build
Real-world workflows powered by the Enhance Image Prompt block.
Upstream Image Generation
Place this block before an image generation step to automatically expand a short user-provided description into a detailed prompt before the image is created.
Negative Prompt Generation
Enable the negative prompt option to produce a paired set of positive and negative prompts, giving image models clearer guidance on what to include and exclude.
Batch Prompt Preparation
Loop over a list of rough image concepts and run each through this block to produce consistently detailed prompts before passing them to a generation pipeline.
User-Facing Image Tools
In an app where users type simple image requests, use this block to silently enhance their input before generation, improving output quality without requiring prompt expertise from the user.
Style-Specific Prompt Tuning
Supply a custom system prompt to steer the enhancement toward a particular visual style or genre, such as photorealism or illustration, for specialized image workflows.
Content Creation Pipelines
Integrate this block into automated content workflows where images are generated alongside written content, ensuring each image prompt is detailed enough to match the intended visual.
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Get Started FreeCommon questions about Enhance Image Prompt
What are the required parameters for this block?
The two key parameters are initialPrompt, which is the raw text the block will enhance, and includeNegativePrompt, a boolean that determines whether a negative prompt is also generated. Destination variable names for storing the outputs are optional but recommended for use in downstream blocks.
What does the block return?
The block returns an object with a prompt field containing the enhanced image generation prompt. If includeNegativePrompt is set to true, the object also includes a negativePrompt field with the generated negative prompt.
Does the initial prompt need to be an existing image prompt?
No. The block can work from a rough or minimal description and generate a detailed prompt from scratch. It does not require an already-formed image prompt as input.
What kinds of workflows commonly use this block?
This block is typically used in image generation workflows, placed upstream of a block that produces images. It is also used in user-facing applications where end users provide simple descriptions and the workflow handles prompt refinement automatically.
Can I customize how the language model enhances the prompt?
Yes. The block accepts an optional systemPrompt field that overrides the default system prompt, allowing you to control the style, focus, or constraints applied during enhancement.
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Add Enhance Image Prompt to your workflow
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