Back to the library
Glitch Art Portrait — source-provided image example.
SOURCE-PROVIDED EXAMPLESource and attribution
FROM INSPIRATION TO SOMETHING YOURS

Make it happen.

  1. Open Midjourney and choose an appropriate model. The source example is not a reproduction performed by this library.
  2. Copy the original source prompt. Review its subjects, styles and any artist references before using it.
  3. Apply the source-reported settings shown here where supported. Stable Diffusion records do not disclose an exact model version.
  4. Generate your own result and inspect it. Seeds and settings do not guarantee identical results across model versions or interfaces.
ImagesSourced example · not independently verified

Glitch Art Portrait

Portrait Photography image prompt with a source-provided example. Glitch Art Portrait. Midjourney V7.

MidjourneyMidjourney 7
THE PROMPT
Glitch art portrait of a woman, digital distortion, RGB color separation, pixel displacement, cyberpunk aesthetic, neon pink and cyan, contemporary digital art
Your next idea is one copy away.
Source parameters--v 7
Model disclosureMidjourney V7 as reported by source
MediaSource-provided image; resized/re-encoded for delivery
Source example · not independently verified

Source-provided example, published with administrator approval and license attribution. Not reproduced or independently verified by this library. Licensed source-provided example. Prompt text is unchanged; the image is resized/re-encoded for web delivery. Source model/settings are reported as supplied. No independent verification, test date, popularity metric or guaranteed reproduction is claimed.

FROM INSPIRATION TO SOMETHING YOURS

Make it happen.

  1. Open Midjourney and choose an appropriate model. The source example is not a reproduction performed by this library.
  2. Copy the original source prompt. Review its subjects, styles and any artist references before using it.
  3. Apply the source-reported settings shown here where supported. Stable Diffusion records do not disclose an exact model version.
  4. Generate your own result and inspect it. Seeds and settings do not guarantee identical results across model versions or interfaces.