`puter.ai.txt2img()`

Websites Puter Apps Node.js Workers

Given a prompt, generate an image using AI.

Syntax

puter.ai.txt2img(prompt, testMode = false)
puter.ai.txt2img(prompt, options = {})
puter.ai.txt2img({ prompt, ...options })

Parameters

`prompt` (String) (required)

A string containing the prompt you want to generate an image from.

`testMode` (Boolean) (Optional)

A boolean indicating whether you want to use the test API. Defaults to false. This is useful for testing your code without using up API credits.

`options` (Object) (Optional)

Additional settings for the generation request. Available options depend on the provider.

Option	Type	Description
`prompt`	`String`	Text description for the image generation
`provider`	`String`	The AI provider to use. `'openai-image-generation' (default) \| 'gemini' \| 'together' \| 'xai' \| 'replicate-image-generation'`
`model`	`String`	Image model to use (provider-specific). Defaults to `'gpt-image-1-mini'` (OpenAI) or `'grok-imagine-image'` when `provider: 'xai'`
`test_mode`	`Boolean`	When `true`, returns a sample image without using credits
`puter_output_path`	`String`	When set, the generated image is automatically saved to this path on the Puter filesystem. Relative paths are resolved against the app's data directory (or `~/` outside an app). The caller must have write permission to the destination
`input_images`	`Array<String>`	Input image(s) for image-to-image — the canonical, cross-provider field (see below).
`input_image`	`String`	Single-image shorthand for `input_images`.

Input images (image-to-image)

input_images is the universal way to pass image-to-image inputs across providers; input_image is the single-image shorthand. Each entry may be a public URL, a data-URI, or raw base64 — providers that need base64 fetch URLs server-side (SSRF-guarded), so a URL works everywhere.

Provider	Multiple images?	Accepted input forms
OpenAI `gpt-image-*`	Yes	URL, base64 / data-URI
Gemini	Yes	URL, base64 / data-URI
Replicate	Yes (model-dependent)	URL, base64 / data-URI
xAI `grok-imagine-*`	Up to 3	URL, base64 / data-URI
Together	Single only (400 if more than one)	URL, base64 / data-URI
Cloudflare	Single only (400 if more than one)	URL, base64 / data-URI (only some models use it)

OpenAI Options

Available when provider: 'openai-image-generation' or inferred from model (gpt-image-2, gpt-image-1.5, gpt-image-1, gpt-image-1-mini):

Option	Type	Description
`model`	`String`	Image model to use. Available: `'gpt-image-2'`, `'gpt-image-1.5'`, `'gpt-image-1'`, `'gpt-image-1-mini'`
`quality`	`String`	Image quality: `'high'`, `'medium'`, `'low'` (default: `'low'`); `gpt-image-2` also accepts `'auto'`
`ratio`	`Object`	Aspect ratio with `w` and `h` properties. `gpt-image-2` accepts arbitrary sizes; other GPT models are restricted to fixed sizes
`input_image`	`String`	An input image for image-to-image editing — a URL or base64/data-URI (URLs are fetched server-side).
`input_images`	`Array<String>`	Multiple input images (URL or base64/data-URI) for image-to-image editing. Routes the request through OpenAI's image edit endpoint.

For more details, see the OpenAI API reference.

Gemini Options

Available when provider: 'gemini' or inferred from model:

Option	Type	Description
`model`	`String`	Image model to use.
`ratio`	`Object`	Aspect ratio as `{ w, h }` (e.g., `{ w: 16, h: 9 }`).
`quality`	`String`	Output size tier: `'512'`, `'1K'`, `'2K'`, `'4K'` (availability varies by model)
`input_images`	`Array<String>`	Input images for image-to-image — a URL or base64/data-URI (URLs are fetched server-side).

xAI (Grok) Options

Available when provider: 'xai' or inferred from model (grok-imagine-image, alias grok-image):

Option	Type	Description
`model`	`String`	Image model to use. Available: `'grok-imagine-image'` (default), `'grok-imagine-image-quality'`
`prompt`	`String`	Text prompt for the image (or the edit instruction when input images are supplied).
`quality`	`String`	Output resolution tier: `'1k'` (default) or `'2k'`.
`input_image`	`String`	A public URL or base64-encoded (data-URI) input image for image-to-image editing.
`input_images`	`Array<String>`	Up to 3 input images (URLs or base64/data-URI) for multi-image editing — combine subjects, transfer styles, compose scenes. Routes through xAI's image edit endpoint.

Together Options

Available when provider: 'together' or inferred from model:

Option	Type	Description
`model`	`String`	The model to use for image generation.
`width`	`Number`	Width of the image to generate in number of pixels. Default: `1024`
`height`	`Number`	Height of the image to generate in number of pixels. Default: `1024`
`aspect_ratio`	`String`	Alternative way to specify aspect ratio
`steps`	`Number`	Number of generation steps. Default: `20`
`seed`	`Number`	Seed used for generation. Can be used to reproduce image generations
`negative_prompt`	`String`	The prompt or prompts not to guide the image generation
`n`	`Number`	Number of image results to generate. Default: `1`
`input_images`	`Array<String>`	Image-to-image input — single image only (400 if more than one). A URL is routed to `image_url`; base64/data-URI to `image_base64`.
`input_image`	`String`	Single-image shorthand for `input_images`.
`image_url`	`String`	URL of an image to use for image models that support it
`image_base64`	`String`	Base64 encoded input image for image-to-image generation
`mask_image_url`	`String`	URL of mask image for inpainting
`mask_image_base64`	`String`	Base64 encoded mask image for inpainting
`prompt_strength`	`Number`	How strongly the prompt influences the output
`disable_safety_checker`	`Boolean`	If `true`, disables the safety checker for image generation
`response_format`	`String`	Format of the image response. Can be either a base64 string or a URL. Options: `'base64'`, `'url'`

For more details, see the Together AI API reference.

Replicate Options

Available when provider: 'replicate-image-generation' or inferred from model:

Common options

Option	Type	Description
`model`	`String`	Model id (e.g. `'black-forest-labs/flux-schnell'`, `'leonardoai/lucid-origin'`).
`ratio`	`Object`	Aspect ratio as `{ w, h }` (e.g., `{ w: 16, h: 9 }`).
`input_image`	`String`	Input image for image-to-image generation — a URL or base64/data-URI.
`input_images`	`Array<String>`	Input images (URL or base64/data-URI) for multi-image generation.

Per-model options

These keys are only forwarded for models that whitelist them (see per-model allowed_params):

Option	Type	Models	Description
`seed`	`Number`	most models	Random seed for reproducible generation.
`steps`	`Number`	`flux-schnell`	Number of inference steps.
`guidance`	`Number`	`flux-2-klein-9b-base`	Guidance scale.
`go_fast`	`Boolean`	`flux-2-dev`	Use optimized fast mode. Defaults to `true` for `flux-2-dev`; affects pricing.
`output_quality`	`Number`	flux family	Output quality (0–100).
`output_megapixels`	`String`	flux family	Approximate output megapixels (e.g. `'0.25'`, `'0.5'`, `'1'`, `'2'`).
`disable_safety_checker`	`Boolean`	flux-2-dev / klein / flux-schnell	If `true`, disables the safety checker.
`safety_tolerance`	`Number`	`flux-2-pro`, `flux-1.1-pro`	Safety tolerance level.
`prompt_upsampling`	`Boolean`	`flux-1.1-pro`	Enable prompt upsampling.
`response_format`	`String`	most models	Output format (e.g. `'webp'`, `'jpg'`, `'png'`).
`generation_mode`	`String`	Leonardo (`lucid-origin`, `phoenix-1.0`)	Generation tier — affects pricing. e.g. `'standard'`/`'ultra'` (lucid-origin), `'fast'`/`'quality'`/`'ultra'` (phoenix-1.0).
`style`	`String`	Leonardo	Stylistic preset.
`contrast`	`String`	Leonardo	Contrast preset.
`prompt_enhance`	`Boolean`	Leonardo	Server-side prompt enhancement.

For more details, see the Replicate API reference and each model's schema page on Replicate.

Any properties not set fall back to provider defaults.

Saving to Puter filesystem

Pass puter_output_path to persist the generated image directly on the Puter filesystem. Relative paths are resolved against ~/AppData/<appID>/ when called from an app, or ~/ otherwise:

puter.ai.txt2img("A sunset over the mountains", {
    puter_output_path: "images/sunset.png"  // saved to ~/AppData/<appID>/images/sunset.png
});

Absolute paths (/username/Pictures/sunset.png) and home-relative paths (~/Pictures/sunset.png) are sent as-is. Write permission to the destination is enforced server-side.

Return value

A Promise that resolves to an HTMLImageElement. The element’s src points at a data URL containing the image.

Examples

Generate an image of a cat using AI

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        // Generate an image of a cat using the default model and quality. Please note that testMode is set to true so that you can test this code without using up API credits.
        puter.ai.txt2img('A picture of a cat.', true).then((image)=>{
            document.body.appendChild(image);
        });
    </script>
</body>
</html>

Generate an image with specific model and quality

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        // Generate an image of a cat playing piano using a specific model and quality set to low
        puter.ai.txt2img("a cat playing the piano", {
            model: "gpt-image-2",
            quality: "low"
        }).then((image)=>{
            document.body.appendChild(image);
        });
    </script>
</body>
</html>

Generate an image with image-to-image generation

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.txt2img("a cat playing piano", {
            model: "gemini-3.1-flash-image-preview",
            input_image: "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txt2speech()

listModelProviders()

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puter.ai.txt2img()