Create a high angle CCTV surveillance shot using the uploaded image as the source. Detect every visible person in the image and automatically draw a white rectangular bounding box around each face. For the most prominent person, add a large zoom in inset: a sharp, enhanced close-up of their face displayed in a floating rectangular frame connected with a thin white line.Keep the main image slightly noisy and security camera like (soft grain, slight distortion, muted colors), while the zoom in face box should be clearer, brighter, and more detailed. No text, no timestamps, no overlays except the boxes and connecting line. Maintain the original scene layout, angle, and environment of the uploaded image.

{ "scene_description": { "setting": "indoor bouldering gym", "location_type": "sports facility", "environment_details": [ "artificial climbing wall with colorful holds", "angled bouldering walls with varied grip shapes", "thick padded safety mats covering the floor", "industrial ceiling with visible beams and lighting fixtures", "chalk-dusted wall surface" ], "mood": "energetic, focused, athletic" }, "subject": { "gender": "{argument name="gender" default="female"}", "activity": "bouldering / indoor rock climbing", "pose": { "body_position": "climbing vertically on a bouldering wall", "arms": "one arm extended gripping a large hold", "legs": "one foot placed on a small foothold, other leg slightly bent", "hips": "close to the wall for balance", "head": "turned slightly toward the camera" }, "facial_expression": "confident smile, relaxed concentration", "gaze": "looking toward camera", "hair": { "style": "ponytail", "movement": "slightly loose from motion" }, "outfit": { "top": "long-sleeve black athletic shirt", "bottom": "high-waisted light gray leggings", "shoes": "professional climbing shoes with contrasting colors" }, "body_language": "strong, balanced, controlled" }, "composition": { "shot_type": "full body action shot", "camera_angle": "slightly low angle", "framing": "vertical orientation", "subject_placement": "left side of frame", "background_visibility": "wide view of climbing gym interior" }, "lighting": { "type": "artificial indoor lighting", "source": "overhead industrial lights", "intensity": "bright and even", "shadows": "soft, minimal", "color_temperature": "neutral to cool" }, "color_palette": { "dominant_colors": [ "gray", "blue", "black", "colorful climbing holds" ], "overall_tone": "sporty, clean, modern" }, "camera_settings": { "camera_type": "DSLR or mirrorless camera", "lens": "24-35mm wide angle", "aperture": "f/3.5", "iso": "800", "shutter_speed": "1/250" }, "style": { "photography_style": "sports lifestyle photography", "aesthetic": "fitness, action, realism", "realism_level": "highly realistic", "detail_level": "high detail with clear motion capture" }, "post_processing": { "contrast": "moderate", "clarity": "enhanced", "saturation": "natural", "sharpness": "high on subject", "noise_reduction": "slight" }, "quality_tags": [ "high resolution", "action shot", "athletic realism", "dynamic composition", "fitness photography" ], "negative_prompt": [ "blurry motion", "distorted limbs", "overexposed highlights", "unnatural body proportions", "low resolution", "flat lighting" ] }

将照片中的人物转化为乐高小人包装盒的风格，以等距透视呈现。在包装盒上标注标题“ZHOGUE”。在盒内展示基于照片中人物的乐高小人，并配有他们必需的物品（如化妆品、包或其他物品）作为乐高配件。在盒子旁边，也展示实际乐高小人本身，未包装，以逼真且生动的方式渲染。

{ "project_title": "Cyber-Liminal Dream Sequence", "aspect_ratio": "2.35:1 (cinematic widescreen)", "aesthetic_theme": { "style": "Glitchcore vaporwave triptych", "mood": "Solitary digital nostalgia", "color_palette": [ "Teal and magenta gradients", "Mint greens", "Off-whites", "Deep indigo shadows" ], "textures": [ "CRT screen static", "Glossy plastic", "Faux marble", "Pixelated dithering" ] }, "subject_outfit": { "core": "Oversized vintage tech tee (obscure anime graphic), baggy cargos with utility straps, chunky sneakers", "accessories": "Transparent visor with LED rim, silver chain necklace", "tech": "Holographic flip phone, coiled wrist gadget" }, "composition_layout": { "frame_1_left": { "type": "Low-angle shot in empty mall food court", "pose": "Leaning on neon-lit railing, looking away", "visual_effects": "Scanlines, VHS bleed, chromatic aberration" }, "frame_2_center": { "type": "Mid-shot reflection in broken monitor screen", "setting": "Dark server room with blinking lights", "pose": "One hand touching screen, distorted reflection", "visual_effects": "Data-moshing, fragmented geometry overlay" }, "frame_3_right": { "type": "Dutch angle in empty parking garage", "lighting": "Flickering fluorescent tubes", "props": "Holding translucent game controller", "overlays": "Floating UI elements, low-poly wireframe grids" } }, "ui_elements": { "player_ui": { "style": "Late-90s multimedia player skin", "content": "“RESONANCE” by HOME", "features": "Virtual dancing anime mascot, equalizer bars, track time in pixel font" }, "graphics": "Glitch transitions between frames, corrupted text fragments, 'ERROR' pop-ups" }, "negative_constraints": [ "Natural landscapes", "Modern UI (flat design)", "Human faces fully visible", "Grunge textures", "Warm lighting", "Organic shapes" ] }

Zoom out and expand this image to a 16:9 aspect ratio (computer wallpaper size). Context Awareness : Seamlessly extend the scenery on both left and right sides. Match the original lighting, weather, and texture perfectly. Logical Completion : If there are cut-off objects (like a shoulder, a tree branch, or a building edge) on the borders, complete them naturally based on logical inference. Do not distort the original center image.

{ "meta": { "project": "Paris_Carette_Cafe_Golden_Hour_Flux_V4.2", "target_engine": "Flux.1 [dev] / Nano Banana Pro", "version": "4.2.0 (Everything in Focus - f/11)", "created_at": "2025-12-17T13:25:00Z" }, "engine_configuration": { "model": { "base": "flux1-dev.safetensors", "quantization": "fp8 / nf4", "vae": "ae.safetensors" }, "lora_slots": [ { "name": "Realism_LoRA_v2 (Optional)", "strength": 0.5, "note": "Enhances skin texture and golden hour lighting." } ], "sampling": { "sampler_name": "euler", "scheduler": "simple", "steps": 28, "guidance_scale": 2.5, "shift": 1.0 }, "dimensions": { "width": 1024, "height": 1536, "aspect_ratio": "2:3", "megapixel_class": "1.5MP" } }, "prompt_construction": { "narrative_layer": { "style": "Parisian Lifestyle / High-End Influencer Photography", "instruction": "Capture a sharp, warm golden hour shot at a famous Parisian cafe, focusing on the model's outfit and the vibrant terrace atmosphere.", "subject_flow": "A blonde model-like woman sitting at Carette cafe terrace, legs crossed, bathed in golden sunlight." }, "texture_layer": { "skin_physics": "fair skin with golden sun glow, smooth texture, natural makeup", "fabric_physics": "soft cashmere texture of blue sweater, woven wool texture of pinstripe skirt, shiny leather of knee-high boots, wicker chair texture", "environment_physics": "SHARP DETAILS ON BACKGROUND: canvas texture of umbrella, metal cafe tables, Haussmann stone architecture" }, "camera_physics": { "lens_imperfections": "warm sun flare, high contrast, rich color saturation", "focus": "DEEP DEPTH OF FIELD (f/11) - NO BLUR. The woman, the Carette umbrella, and the background architecture are all sharp.", "settings": "Sony A7R V, 35mm Lens, 1/500s, ISO 100 (Golden Hour)" }, "color_grading": { "white_balance": "Golden Hour (Warm Orange/Gold Tones)", "shadows": "Soft, warm shadows", "highlights": "Bright golden highlights on hair and skin" } }, "final_prompt_string": "A candid raw lifestyle photograph shot on Sony A7R V 35mm f/11. Deep depth of field, everything in focus. A young woman (19-24) with model proportions, very long thin legs, and tiny waist sitting on a wicker chair at Carette café in Paris. She wears a baby blue cropped cashmere sweater, a black pinstripe high-waisted miniskirt, and black leather knee-high boots. She touches her face gently. Golden hour sunlight creates a warm glow. Background is sharp and detailed: Beige umbrella with 'CARETTE' text, busy café terrace with customers, and Haussmann architecture are clearly visible with no bokeh. Parisian chic aesthetic.", "negative_prompt_string": "", "note_on_negative": "Flux ignores explicit negative prompts. Sharpness is ensur