NIKE — AI Image Prompt
Prompt
A dynamic fashion advertisement for Nike showing a hyper-realistic model mid-twist jump, light trails following her limbs. Background: prism-shifting gradient (hot magenta to sapphire) with refracted lens flares. The model wears iridescent Nike runner tights and a cropped tech hoodie in holographic white. Bold serif "NIKE" and motion-glitched "LUMINA" in layered text behind. High-energy, futuristic aesthetic with fashion gloss. --ar 3:4 --raw --stylize 750
✦ Use this prompt for free
About “NIKE”
This AI image prompt was created by AdX and is available to copy and use for free on PromptSpace. At 64 words, this is a detailed prompt that gives AI models precise instructions for generating the exact image you envision. It falls under the product poster, logo, corporate categories.
How to Use This Prompt
- 1
Copy the prompt
Click the “Copy Prompt” button above to copy the full prompt text to your clipboard.
- 2
Open your AI image generator
Open Midjourney, FLUX and paste the prompt into the text field.
- 3
Generate your image
Hit generate. For best results, use the default settings first and see how the output looks.
- 4
Experiment with variations
Change details like colors, lighting, or composition to make it uniquely yours.
- 5
Want your own face in the image?
Upload a clear, well-lit front-facing photo of yourself directly inside your AI tool (look for Image Reference, Face Swap, or IP-Adapter options) — then paste this prompt alongside it to generate images with your own face.
Recommended Settings
Aspect Ratio
1:1 or 2:3 (Default)
Quality
High / HD
Best For
Midjourney, FLUX
Style
As described in prompt
Why This Prompt Works
The high word count gives the model rich context, reducing ambiguity and producing more consistent results. Well-crafted prompts like this one combine subject precision, style vocabulary, and rendering hints — the three pillars of reliable AI image generation.
Best Model
Midjourney is strongly recommended for this prompt. Midjourney v6 handles the stylized aesthetic especially well. Try --ar 2:3 and --style raw for the most faithful output.