
Misty Cliffside Mule Trail
Genererer et realistisk dokumentarfotografi af en ensom rejsende og et pakmuldyr på en farlig, gammel bjergvej over en tåget kløft.
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.
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Create a hyper-realistic collectible fine-art documentary landscape photograph inspired by ancient Chinese mountain travel writings: a lone traveler and one pack mule moving along a perilous cliffside plank road carved into a sheer rock wall in {argument name="location" default="a remote misty Chinese mountain gorge"}. The image is a wide horizontal frame, shot from behind and slightly to the left on the narrow path, with the dark vertical cliff face dominating the entire left third of the composition and a vast abyss opening to the right. The path is made of uneven wet stone slabs and old wooden support beams jutting out from the cliff, with rough dirt, broken edges, and no railing; count exactly 2 living subjects on the path: 1 human traveler in muted earth-toned traditional mountain clothing and 1 brown pack mule carrying bundled cargo. The traveler is small in scale, walking away from the camera beside the mule, emphasizing danger, solitude, and the immensity of nature. Across the right and center background, show multiple jagged limestone peaks and steep forested cliffs fading into layers of dense white-gray fog and low cloud, with swirling mist pouring through the valley below. Use a cold, moody, overcast atmosphere after rain, wet rock textures, deep shadows, desaturated blue-gray and charcoal tones with subtle green vegetation. Make it look like a real photograph taken by a top National Geographic or fine-art landscape photographer, with natural light, high dynamic range, sharp foreground detail, atmospheric depth, cinematic realism, no fantasy architecture, no modern objects, no text, no watermark. Camera feel: {argument name="camera feel" default="full-frame documentary photography, 28mm wide-angle lens, f/8, natural overcast light"}. Overall mood: {argument name="mood" default="awe, danger, ancient journey, and lonely grandeur"}.Promptvariabler
Redigerbare argumentpladsholdere fundet i prompten med deres standardværdier.
Variabel
location
Misligholdelse
a remote misty Chinese mountain gorge
Variabel
camera feel
Misligholdelse
full-frame documentary photography, 28mm wide-angle lens, f/8, natural overcast light
Variabel
mood
Misligholdelse
awe, danger, ancient journey, and lonely grandeur
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.
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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.