Kan jeg bruge denne prompt kommercielt?

Status for kommerciel brug er allowed . Gennemgå den oprindelige kilde, licens, brandbegrænsninger og juridiske krav før betalt brug.

Hvor stammer denne sag fra?

Denne sag er importeret fra Awesome GPT Image 2 Prompts ; sørg for, at kildeangivelsen er synlig, og kontroller kilde-URL'en før genbrug.

GPT Image 2 sag Illustration og kunstTekst til billede

Calligraphic Sports Grid System

A structured, logic-based prompt that translates sports movements into minimalist calligraphic art within a 2x2 grid.

Dette er et GPT Image 2 -eksempel på en prompt for Illustration og kunst . 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 Illustration og kunst emnehub for flere relaterede eksempler, eller åbn GPT Image 2 hurtig katalog for det fulde eksempelindeks, genanvendelige strukturer og kildeattribution.

Forfatter @Gadgetify

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Prompt

2x2 grid, do this for {argument name="subject" default="Olympics sports"}: 16:9 INPUT ::= {argument name="keyword" default="[TOPIC_OR_WORD]"}    W := derive_word(INPUT)  A := infer_actor_or_symbol(INPUT)  E := infer_defining_action(INPUT)  M := infer_reactive_medium(E, INPUT)    LAYOUT_SOLVER ::    +--------------------------------------------------------------------------------+  |                                                                                |  |       ┌─ glyph capable of holding A                                             |  |       ↓                                                                        |  |    [ GLYPH ]   [ GLYPH ]   [ ACTION_GLYPH ]   [ GLYPH ]   [ GLYPH ]           |  |        A                           │                                             |  |                                    │ motion_vector(E)                           |  |                                    ▼                                             |  |                         **** IMPACT ****                                        |  |                    ╭─────────┼─────────╮                                        |  |                ≈≈≈≈≈≈≈≈≈ reactive baseline ≈≈≈≈≈≈≈≈                           |  |                                                                                |  +--------------------------------------------------------------------------------+    SEMANTIC_ASSIGNMENT ::    BODY_SLOT :=      glyph whose counter/curve/stem best accommodates pose(A)    ACTION_SLOT :=      glyph whose geometry naturally expresses E    GROUND_SLOT :=      bottom typographic zone transformed into M    FUSION ::    A.body_part       -> glyph_stroke  A.gesture         -> terminal_or_curve  ACTION_GLYPH      -> motion_trajectory  M.surface         -> shared_word_baseline  collision         -> ink_burst  energy_propagation-> concentric_marks_or_topic_equivalent    BRUSH_PHYSICS ::    stroke_width(t) ∝ pressure(t)  dryness(t)      ∝ velocity(t)  splatter        ∝ impact_force(E)  ripple_radius   ∝ elapsed_visual_time    RULES ::  - only enough literal detail to understand A and E  - preserve huge white negative space  - reaction marks become compositional support for the entire word  - use asymmetry and sparse brush imperfections  - infer the appropriate reaction if M is not liquid  - never preassign a specific letter, actor, action, or medium

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Klar til kopiering

2x2 grid, do this for {argument name="subject" default="Olympics sports"}: 16:9 INPUT ::= {argument name="keyword" default="[TOPIC_OR_WORD]"}    W := derive_word(INPUT)  A := infer_actor_or_symbol(INPUT)  E := infer_defining_action(INPUT)  M := infer_reactive_medium(E, INPUT)    LAYOUT_SOLVER ::    +--------------------------------------------------------------------------------+  |                                                                                |  |       ┌─ glyph capable of holding A                                             |  |       ↓                                                                        |  |    [ GLYPH ]   [ GLYPH ]   [ ACTION_GLYPH ]   [ GLYPH ]   [ GLYPH ]           |  |        A                           │                                             |  |                                    │ motion_vector(E)                           |  |                                    ▼                                             |  |                         **** IMPACT ****                                        |  |                    ╭─────────┼─────────╮                                        |  |                ≈≈≈≈≈≈≈≈≈ reactive baseline ≈≈≈≈≈≈≈≈                           |  |                                                                                |  +--------------------------------------------------------------------------------+    SEMANTIC_ASSIGNMENT ::    BODY_SLOT :=      glyph whose counter/curve/stem best accommodates pose(A)    ACTION_SLOT :=      glyph whose geometry naturally expresses E    GROUND_SLOT :=      bottom typographic zone transformed into M    FUSION ::    A.body_part       -> glyph_stroke  A.gesture         -> terminal_or_curve  ACTION_GLYPH      -> motion_trajectory  M.surface         -> shared_word_baseline  collision         -> ink_burst  energy_propagation-> concentric_marks_or_topic_equivalent    BRUSH_PHYSICS ::    stroke_width(t) ∝ pressure(t)  dryness(t)      ∝ velocity(t)  splatter        ∝ impact_force(E)  ripple_radius   ∝ elapsed_visual_time    RULES ::  - only enough literal detail to understand A and E  - preserve huge white negative space  - reaction marks become compositional support for the entire word  - use asymmetry and sparse brush imperfections  - infer the appropriate reaction if M is not liquid  - never preassign a specific letter, actor, action, or medium

Promptvariabler

Redigerbare argumentpladsholdere fundet i prompten med deres standardværdier.

Variabel

subject

Misligholdelse

Olympics sports

Variabel

keyword

Misligholdelse

[TOPIC_OR_WORD]

Best for

- Illustration og kunst 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.

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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.

Klar til kopiering

Promptvariabler

Best for

Change these parts

Recommended model and settings

How to use this prompt

Limitations, source, and reuse cautions

Flere sager i denne kategori

Brug denne prompt sikkert efter at have gennemgået sagen.

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