
Antique Desert Radio Telescope Array
Generates a sepia wet-plate style archival scene of radio telescopes stretching across a desert beside railroad tracks.
Dette er et GPT Image 2 -eksempel på en prompt for Landskab og natur . Brug den kopieringsklare prompt nedenfor til at generere lignende visuelle elementer, og gennemgå Awesome GPT Image 2 Prompts -kreditering samt kommercielle brugsrettigheder før genbrug.
Har du brug for det fulde promptsæt? Brug Landskab og natur emnehub for flere relaterede eksempler, eller åbn GPT Image 2 hurtig katalog for det fulde eksempelindeks, genanvendelige strukturer og kildeattribution.
Free 1K preview
Generate one preview image instantly, no sign-up required.
1267/4000
Hurtig
Klar til kopiering
Create an antique black-and-white wet plate collodion photograph of {argument name="subject" default="a desert radio telescope array"} in a vast arid landscape. Show exactly 14 parabolic satellite dishes receding diagonally from the left foreground toward the far right horizon, with the nearest dish very large and sharply dominant, the next 5 medium dishes clearly visible, and the remaining 8 fading into atmospheric haze and shallow-focus blur. Place exactly 2 parallel railroad rails running from the lower center foreground into the distance beside the telescope line, converging toward the horizon. The setting is a flat scrub desert with low bushes, dusty ground, distant low mountains on the left, and a pale empty sky. Use a sepia-toned monochrome palette, soft vintage lens blur, strong vignetting, uneven exposure, scratches, dust specks, chemical stains, blackened edges, chipped glass-plate corners, liquid drip marks along the top and bottom borders, and a visible fingerprint smudge in the upper left. The image should feel like an eerie archival scientific expedition photograph from {argument name="era" default="the late 19th century"}, despite the futuristic radio telescopes. No modern color, no people, no readable text, no clean digital finish.Promptvariabler
Redigerbare argumentpladsholdere fundet i prompten med deres standardværdier.
Variabel
subject
Misligholdelse
a desert radio telescope array
Variabel
era
Misligholdelse
the late 19th century
Best for
- - Landskab og natur 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: Tekst til billede
- - 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.
Importeret fra Awesome GPT Image 2 Prompts . Kreditering er påkrævet. Status for kommerciel brug er allowed ; gennemgå kilderettighederne før betalt brug.
Flere sager i denne kategori
Prioriteret efter kategori, kompatibilitet med inputtilstande, kvalitet og lavere risiko.

Imperial Research Bunker on Volcanic Planet
Tekst til billede

Manga Desert Radio Telescope Road Trip
Tekst til billede

Female Clown Cyborg Portrait
Tekst til billede

Android Quantum Lab Workstation
Tekst til billede

Greyscale Puzzle Portrait with Color Accent
Tekst til billede

Glitch Aesthetic Surreal Portrait
Tekst til billede
Genbrug og kildenoter
Brug denne prompt sikkert efter at have gennemgået sagen.
- 1.Kopier prompten, eller åbn den direkte i Dovoo med genereringsknappen.
- 2.Juster variabler, billedformat og referencebilleder til din egen brug.
- 3.Før udgivelse eller betalt brug skal du verificere kilderettigheder, krav til kreditering og risici forbundet med branding eller lighed.