Generate detailed images from text with controls for iteration count and seed.

huggingface.co/spaces/ruslanmv/Text-to-Multipl…
Text To Multiple Images SDXL homepage screenshot

About Text To Multiple Images SDXL

Text To Multiple Images SDXL is a web-based text-to-image tool hosted as a Hugging Face Space. Users enter a text prompt, choose whether to add more details, set an iteration count, and provide a seed. The seed input is intended to make results reproducible. The page describes the app as outputting images, but the description is cut off and the output format is not stated.

The Space was paused when the page was captured. The page says that users who want to use it should ask the authors to restart it through the community tab. The project is not listed as open source, and no public repository is given.

Key features

  • Generates detailed images from a text prompt
  • Optional setting to add more details to the output
  • Adjustable number of iterations per generation
  • Seed input for reproducible results
  • Runs as a web app on Hugging Face Spaces
Best for: People who want to generate images from text prompts and repeat results with a fixed seed, once the Space has been restarted.
Good for
  • Provides a seed setting so results can be reproduced.
  • Lets users set the number of iterations.
Watch out for
  • The Space was paused when the page was captured, so it may not be usable until the authors restart it.
  • No public repository is listed and the project is not marked as open source.

Text To Multiple Images SDXL at a glance

Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Text To Multiple Images SDXL FAQ

Why can't I use this Space right now?
The page states that the Space has been paused. It suggests asking the author or authors to restart it through the community tab on Hugging Face.
How can I get the same image again?
The app has a seed setting that is described as providing reproducibility. Using the same seed is the stated way to aim for repeatable output.
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