
Blue Neon Denial ASMR Anime Portrait
This prompt generates a close-up anime VTuber-style ASMR illustration with a whispering girl, binaural microphones, and a glowing denial-themed holographic text panel.
This is a GPT Image 2 prompt case for Anime & Game. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.
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Prompt
Copy-ready prompt
A polished anime-style close-up illustration of a young virtual streamer girl leaning toward the viewer in a dim blue neon studio, themed around harshly dismissive ASMR. She has short fluffy white hair with faint icy blue highlights, soft layered bangs partly covering one eye, bright blue half-lidded eyes, pale skin, and a slightly smug, cold, teasing expression with a small open mouth as if whispering criticism directly into the listener’s ear. One hand is raised beside her mouth in a whispering pose. She wears large futuristic over-ear headphones with glowing cyan rings and a small liquid-droplet motif on top, a white short-sleeved dress uniform with navy trim, gold buttons, a large dark blue ribbon at the collar, and a large blue bow at the back, plus a visible side tag reading “shizuku.” Add 2 blurred black binaural ASMR microphones in the foreground at the lower left, creating strong depth of field. Place 1 glowing holographic vertical panel on the left side with Japanese text and waveform graphics, including the headline {argument name="headline text" default="Complete Denial ASMR"} and small branding text {argument name="brand name" default="SHIZUKU"}. Include 4 short Japanese negative whisper lines beneath the headline, styled like a translucent cyan UI display. The room behind her is dark, atmospheric, and softly blurred with cool blue shelves and scattered glowing droplets or bokeh lights. Use dramatic cinematic lighting, cool monochrome blue and white tones, glossy highlights, delicate blush, highly detailed eyes and hair strands, soft bloom, crisp cel-shaded anime rendering, intimate composition, slight Dutch angle, and a feeling that the character is invading the listener’s personal space for an ASMR recording. The character should read as {argument name="character name" default="Shizuku"}, with {argument name="hair color" default="white with light blue highlights"} and {argument name="eye color" default="icy blue"}.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Best for
- - Anime & Game visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: Text to Image
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
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Reuse and source notes
Use this prompt safely after previewing the case.
- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
- 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.
Can I use this prompt commercially?
Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.
Where does this case come from?
This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.





