Electric Blue 700 Followers Anime Poster

Prompt

Create a vertical dark fantasy anime celebration poster in a dramatic electric-blue and black palette, featuring a single young anime woman floating diagonally through a storm of magical energy. She has long windblown {argument name="hair color" default="black"} hair, pale skin, a calm slightly melancholic expression, and a revealing gothic black outfit with thigh straps, seen partly behind the typography. Surround her with jagged lightning arcs, glowing blue flames, shattered glass-like fragments, swirling dark ribbons, luminous blue petals, and 4 distinct blue roses: one small rose at the lower left, one bright rose at the right of the number, one large rose near the lower right, and one dark rose at the bottom-right edge. Put large ornate glowing cursive neon lettering across the foreground, tilted with perspective and crackling edges, using 5 readable text elements: “{argument name="main thank you text" default="Thank you for your attention!"}” across the upper and middle area, “{argument name="milestone text" default="Over 700"}” huge in the lower middle, “{argument name="follower text" default="followers!!"}” across the lower area, and “{argument name="signature text" default="from @kuso_seisakusyo"}” small near the bottom. The typography should look like blue lightning calligraphy with a white-hot inner glow, cyan outer aura, and dark shadow, partially obscuring the character while remaining legible. Use high-contrast cinematic lighting, deep navy shadows, intense sapphire highlights, floating particles, motion blur, glossy fantasy illustration rendering, and a highly detailed gpt-image-2 anime key visual composition.

Example output

How to use this prompt

1. 1. Copy the full prompt text above.
2. 2. Paste it into your image model — Midjourney, DALL·E, Stable Diffusion, or GPT Image.
3. 3. Replace the subject, style or lighting words with your own to adapt it.
4. 4. Adjust aspect ratio and steps in your tool; the prompt itself is tool-neutral.
5. 5. Iterate on one variable at a time so you can tell which change mattered.