ENGLISHI created pr1v4t3 j3t to explore a fictional modern 2020s ultra-luxury private jet as a collection of cinematic backgrounds. I wanted each part of the aircraft to have its own atmosphere, materials, floor and lighting while keeping a coherent visual identity through walnut, champagne brass and cream leather.The set includes the cockpit, main lounge, dining and conference area, bar, cinema lounge, night suite, marble bathroom, VIP dressing room, sky office, galley and crew rest. Four compositions explore each zone, followed by a closing exterior view on a tarmac at dusk. All 45 training images are backgrounds without people. The aircraft is generic, with no intended manufacturer, model, brand or registration.Trigger word: pr1v4t3 j3tI place the exact trigger at the beginning of a prompt, then describe the zone, viewpoint, materials and lighting. For example:pr1v4t3 j3t, ultra-luxury private jet lounge, cream leather club seats, walnut panels, beige velvet carpet, golden clouds through cabin windows, cinematic daylightpr1v4t3 j3t, private jet night suite, silk bed, plush cream carpet, warm bedside lamp, starry sky above clouds, cinematic photorealismSuggested starting points ONLY, not verified results:For a future version trained on SDXL or Illustrious, I would begin testing around 25-35 steps, CFG 5-7 and LoRA weight 0.5-0.8, then adjust for the actual trained version, checkpoint and sampler. These numbers are exploratory suggestions; no LoRA has been trained or tested for this dataset yet. SDXL and Illustrious compatibility would require appropriate training and validation. For Krea, I would first verify whether the chosen workflow supports the trained LoRA and exposes these controls; I do not claim Krea compatibility or a validated Krea preset. The supplied prompts can also serve as scene descriptions for separate generation tests.I designed the dataset to offer varied empty environments that can later be used in character compositions.arrssenneFRANCAISJ'ai cree pr1v4t3 j3t pour explorer un jet prive fictif ultra-luxueux des annees 2020 sous forme de backgrounds cinematographiques. Je voulais donner a chaque zone sa propre ambiance, ses materiaux, son sol et son eclairage, tout en conservant une identite visuelle coherente autour du noyer, du laiton champagne et du cuir creme.Le set comprend le cockpit, le salon principal, la salle a manger et de conference, le bar, le cinema, la suite de nuit, la salle de bain en marbre, le dressing VIP, le bureau, la cuisine de bord et l'espace equipage. Quatre compositions explorent chaque zone, puis une vue exterieure sur le tarmac au crepuscule ferme le set. Les 45 images d'entrainement sont des backgrounds sans personnes. L'avion est generique, sans fabricant, modele, marque ou immatriculation intentionnels.Trigger word : pr1v4t3 j3tJe place le trigger exact au debut du prompt, puis je precise la zone, le cadrage, les materiaux et la lumiere. Exemples :pr1v4t3 j3t, ultra-luxury private jet lounge, cream leather club seats, walnut panels, beige velvet carpet, golden clouds through cabin windows, cinematic daylightpr1v4t3 j3t, private jet night suite, silk bed, plush cream carpet, warm bedside lamp, starry sky above clouds, cinematic photorealismPoints de depart suggeres SEULEMENT, sans validation :Pour une future version entrainee sur SDXL ou Illustrious, je commencerais les essais autour de 25-35 steps, CFG 5-7 et poids LoRA 0.5-0.8, puis j'ajusterais selon la version entrainee, le checkpoint et le sampler. Ce sont des pistes d'exploration; aucun LoRA n'a encore ete entraine ou teste pour ce dataset. La compatibilite SDXL et Illustrious exige un entrainement et une validation adaptes. Pour Krea, je verifierais d'abord si le workflow choisi accepte le LoRA entraine et expose ces controles; je ne revendique aucune compatibilite Krea ni aucun preset Krea valide. Les prompts fournis peuvent aussi servir de descriptions de scenes pour des essais de generation separes.J'ai concu ce dataset pour offrir des decors vides varies, utilisables ensuite dans des compositions avec personnages.arrssenne

Files with SHA256: ae6d5ba92f4f560f97f95bcac38c5a6ef9d3936ac6353c1b577c05c1091d5fa5