Jime International (Dreamina) icon

Jime International (Dreamina)

Generate Dreamina international AI images, videos, and avatars in n8n.

Actions6

AI Image → Generate

AI-generated

Summary

Generate AI images using Dreamina's international AI platform by specifying text prompts or reference images, along with various customization options for model version, aspect ratio, resolution, and execution mode.

Inputs

  • Mode (required) — Select between 'Text to Image' (generating an image from a text description) or 'Image to Image' (modifying an existing image using reference images).
  • Execution Mode (required) — Choose the method to generate images: 'Local Playwright' uses a real local browser process (recommended), while 'Direct HTTP' is a legacy fallback mode.
  • Text — Enter the descriptive text prompt for the image generation. Required especially in 'Text to Image' mode.
  • Model (required) — Select the AI model version for image generation, ranging from Image 4.0 to Image 5.0 Lite.
  • Aspect Ratio (required) — Define the aspect ratio of the output image, with options including Auto, 21:9, 16:9, 3:2, 4:3, 1:1, 3:4, 2:3, and 9:16.
  • Resolution (required) — Choose the output image resolution: High (2K) or Ultra (4K).
  • Browser Executable Path — When using Local Playwright execution, optionally specify the path to the Chrome or Edge browser executable. Leave empty for auto-detection.
  • Browser User Data Dir — Optional persistent browser user profile directory path for Playwright mode, must exist in the runtime environment.
  • Headless Browser — Boolean to run the browser in headless mode, recommended for Docker or Linux servers without a GUI.
  • Wait Timeout Seconds — Maximum wait time in seconds for the browser operation and status polling (min 30, max 900).
  • Reference Images — Only for 'Image to Image' mode. Provide comma-separated URLs or local file paths of reference images to base the generation on.

Output shape

a list of JSON objects representing generated images or error messages per input item

Returns an array of images generated as JSON objects. If any input item fails, error details are returned for that item if 'Continue On Fail' is enabled; otherwise, the workflow errors out.

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