Originaldokument
GPT Image 2 · en
Scene:
A square material-focused image where lighting, scale, and surface behavior are the main event. Build the frame around the dominant material language shown with full confidence. Keep the lighting, camera distance, and spatial organization tuned for a high-signal research image rather than a casual snapshot. The image belongs to the Complex Optics Materials theme and should feel immediately legible as a prompt atlas theme for complex optics materials, testing photorealism, physics-materials, reasoning-composition with gpt image 2..
Subject:
Center the study on the dominant material language shown with full confidence. Translate the theme into a concrete visual statement instead of an abstract mood board: the viewer should understand what kind of image this is, what is being tested, and why the composition is difficult. Use the slug idea of complex optics materials as a literal guide for subject matter, materials, and staging.
Important details:
Microstructure matters: refraction, fibers, scratches, pores, edge wear, translucency, and dust should all feel physically specific. Preserve a disciplined square composition, clear focal hierarchy, and enough secondary information to make the image feel complete rather than underspecified. The image should look polished, novel, and exhibition-ready, with topic-specific credibility coming from the way surfaces, structure, and visual language reinforce Complex Optics Materials. Avoid generic filler elements that do not serve the main concept.
Use case:
Complex Optics Materials single study 1/8, testing photorealism, physics-materials, reasoning-composition through the surface hero variation.
Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no generic stock macro, no broken scale cues, no plastic-looking texture when it should feel natural, no meaningless blur, no watermark, no fake labels.Verwendung
- Den vollständigen Original-Prompt einschließlich Parametern kopieren.
- Motiv, Text und Komposition an die eigenen Anforderungen anpassen.
- Ein kompatibles externes Werkzeug nutzen; Zugangsbedingungen und Ergebnis prüfen.
Vor dem Start
- Prüfen, ob ein Referenzbild nötig ist. Kompatibilität belegt nicht das tatsächlich verwendete Modell.
- Namen, Zahlen und Bildtexte prüfen; Modellversionen können andere Ergebnisse liefern.