📦 Sonstige & Niche

image to video 360 product rotaion

📁 Sonstige & Niche 👤 Beigetragen von @ayoubelouardi3710@gmail.com 🗓️ Aktualisiert
Der Prompt
{ "model": "veo-3.1", "task": "image_to_video_360_product_rotation", "objective": "Generate a photorealistic, silent, 360-degree rotation video from the provided front and back images of the exact same product. Preserve 100% of the original product identity without modification, addition, removal, or hallucination. The product must appear naturally filled internally using ghost mannequin volume reconstruction, while remaining completely faithful to the original images. The garment must appear professionally ironed, perfectly smooth, crisp, and retail-ready while preserving all original details. Output must contain absolutely no audio.", "garment_condition_global_rule": { "all_clothing_must_be_ironed": true, "appearance": "perfectly pressed, crisp, smooth, structured, premium retail presentation", "no_new_wrinkles": true, "no_random_fabric_folding": true, "maintain_original_wrinkle_data_if_present": true, "no_artificial_wrinkle_generation": true, "clean_finish": true, "brand_new_look": true }, "input": { "type": "multi_image", "views": [ { "name": "front", "role": "primary_reference", "weight": 1.0 }, { "name": "back", "role": "secondary_reference", "weight": 1.0 } ], "forensic_identity_lock": { "mode": "strict", "geometry_lock": true, "silhouette_lock": true, "mesh_lock": true, "texture_lock": true, "fabric_pattern_lock": true, "stitching_lock": true, "wrinkle_lock": true, "color_lock": true, "material_lock": true, "surface_lock": true, "logo_lock": true, "label_lock": true, "branding_lock": true, "proportion_lock": true, "measurement_lock": true, "prevent_hallucination": true, "prevent_detail_invention": true, "prevent_detail_removal": true } }, "geometry_reconstruction": { "method": "constrained_true_3d_reconstruction", "source_constraint": "only_use_information_present_in_input_images", "volume_generation": { "enabled": true, "type": "ghost_mannequin_volume", "visibility": "none" }, "reconstruction_rules": { "interpolate_only": true, "no_detail_creation": true, "no_surface_modification": true, "no_topology_change": true, "no_design_interpretation": true }, "mesh_constraints": { "rigid": true, "no_deformation": true, "no_shape_change": true, "no_texture_shift": true } }, "animation": { "type": "360_degree_rotation", "axis": "vertical", "degrees": 360, "direction": "clockwise", "speed": "constant", "duration_seconds": 6, "motion_constraints": { "no_wobble": true, "no_jitter": true, "no_mesh_change": true, "no_texture_shift": true, "no_geometry_shift": true }, "start_state": "exact_front_view", "end_state": "exact_front_view", "loop": true }, "ghost_mannequin": { "enabled": true, "visibility": "invisible", "constraints": { "must_not_be_visible": true, "must_not_modify_surface": true, "must_not_modify_shape": true, "must_not_modify_wrinkles": true, "must_not_modify_fit": true } }, "scene": { "background": { "type": "pure_white", "color": "#FFFFFF", "uniform": true }, "product_state": { "floating": true, "no_support_visible": true }, "shadow": { "type": "soft_contact", "stable": true, "physically_correct": true } }, "camera": { "type": "fixed", "movement": "none", "rotation": "none", "zoom": "none", "center_lock": true, "lens": "85mm", "distortion": false }, "lighting": { "type": "studio_softbox", "consistency": "locked", "variation": false, "flicker": false, "must_not_change_during_rotation": true }, "rendering": { "mode": "photorealistic", "texture_source": "input_images_only", "no_texture_generation": true, "no_creative_interpretation": true, "no_artificial_enhancement": true, "fabric_finish": "smooth_pressed_clean", "retail_presentation_standard": "premium_ecommerce_ready" }, "audio": { "enabled": false, "generate_audio": false, "include_audio_track": false, "music": false, "sound_effects": false, "voice": false, "ambient_sound": false, "silence": true }, "output": { "resolution": "2160x2160", "fps": 30, "duration_seconds": 6, "format": "mp4", "video_codec": "H.264", "audio_codec": "none", "include_audio_track": false, "loop": true, "background": "pure_white", "silent": true }, "hard_constraints": [ "NO audio", "NO music", "NO sound effects", "NO voice", "NO ambient sound", "DO NOT add details", "DO NOT remove details", "DO NOT modify stitching", "DO NOT modify logos", "DO NOT modify texture", "DO NOT modify structure", "DO NOT change proportions", "DO NOT stylize", "DO NOT hallucinate", "NO new wrinkles", "NO messy fabric folds", "MUST appear professionally ironed" ], "negative_prompt": [ "music", "sound", "voice", "audio", "ambient audio", "sound effects", "hallucinated details", "modified stitching", "different fabric", "shape morphing", "geometry distortion", "creative reinterpretation", "wrinkled fabric", "messy folds", "creased clothing", "unpressed garment" ] }

So nutzt du diesen Prompt

Kopiere den Prompt oben oder klicke einen "Öffnen in"-Button um ihn direkt in deiner bevorzugten KI zu starten. Du kannst den Text dann an deinen Anwendungsfall anpassen — z.B. Platzhalter wie [dein Thema] durch echten Kontext ersetzen.

Welches KI-Modell funktioniert am besten

ChatGPT, Claude und Gemini liefern alle gute Ergebnisse für diese Art von Prompt. Claude ist meist am nuanciertesten, ChatGPT am schnellsten, Gemini am besten wenn visueller Input oder Google-Workspace-Daten involviert sind.

Diesen Prompt anpassen

Passe den Prompt an deinen konkreten Use-Case an. Ersetze Platzhalter (meist in Klammern oder Großbuchstaben) mit deinem eigenen Kontext. Je mehr Details du lieferst, desto präziser die Antwort.

Typische Anwendungsfälle

  • In ChatGPT, Claude oder Gemini sofort einsetzen
  • An dein spezifisches Projekt oder Branche anpassen
  • Als Startpunkt für deinen eigenen benutzerdefinierten Prompt nutzen
  • Mit verschiedenen Models vergleichen um das beste für deinen Fall zu finden
  • Im Team teilen als Standard-Workflow

Variationen

Passe den Tonfall an (lockerer, technischer), ändere das Ausgabeformat (Aufzählungen vs. Absätze) oder füge Einschränkungen hinzu (Wortlimits, Zielgruppe).

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