Can I customize the High-Fashion Editorial Portrait with Dust Particles template?

Yes. You can change the subject, setting, lighting, mood, format, and available model controls before creating your image.

Is the High-Fashion Editorial Portrait with Dust Particles template free?

This is a premium template. An entitled PicX Studio plan unlocks its protected prompt; the preview and guide remain public.

Which AI model should I use?

Start with Nano Banana 2, which is the model associated with this template. You can compare another compatible model for a different finish.

High-Fashion Editorial Portrait with Dust Particles — AI Image Template for nano-banana-2

DeepSeek V3 vs V4 Architecture Infographic

side-by-side AI architecture comparison infographic · clean technical diagram, white background, thin black outlines, rounded rectangles, dashed callout boxes, color-coded highlights, presentation-slide aesthetic, vector infographic · 2:1 · wide horizontal · DeepSeek V3/R1 (671 billion) · DeepSeek V4 (1.2 trillion) · bright orange-red · bright blue · 2 · DeepSeek V3/R1 (671 billion) · left half · 9 · Vocabulary size of 129k, FeedForward (SwiGLU) module, Intermediate hidden layer dimension of 2,048, MoE layer, Supported context length of 128k tokens, First 3 blocks use dense FFN with hidden size 18,432 instead of MoE, Sample input text, Embedding dimension of 7,168, 128 heads · DeepSeek V4 (1.2 trillion) · right half · 9 · Vocabulary size of 160k, FeedForward (SwiGLU) module, Intermediate hidden layer dimension of 3,072, MoE layer, Supported context length of 256k tokens, First 3 blocks use dense FFN with hidden size 24,576 instead of MoE, Sample input text, Embedding dimension of 8,192, 128 heads · bottom comparison table · bottom full width · 10 · Total parameters, Active parameters per token, Hidden size, Esmple dimesiegn, DeepSeek V3/R1, Intermediate (FF), Attention heads, Context length, Embedding dimension, Vocabulary size · very light gray rounded rectangle · 8 · Tokenized text, Token embedding layer, RMSNorm 1, Multi-head Latent Attention, RMSNorm 2, MoE, Final RMSNorm, Linear output layer · RoPE attached to the attention block on the left side · Multi-head Latent Attention · orange-red text for the word Latent · FeedForward (SwiGLU) module · 4 · Linear layer, SiLU activation, Linear layer, Linear layer · two branches multiplied, then projected · MoE layer · 5 · top combine node, Feed forward, Feed forward, Router, expert count badge 256 · small black square with 1 selected expert, arrows routing upward to experts, dotted divider line · Vocabulary size of 129k · Intermediate hidden layer dimension of 2,048 · Supported context length of 128k tokens · First 3 blocks use dense FFN with hidden size 18,432 instead of MoE · Resource savings: Model size is 671B but only 1 (shared) + 8 experts active per token; only 37B parameters are active per inference step · 10 · Total parameters: 671B, Active parameters per token: 37B (1 + 8 experts), Hidden size: 7,128, Esmple dimesiegn: 28,432, Intermediate (FF): 2,048, Attention heads: 128, Context length: 128k, Embedding dimension: First 3 blocks, Context ler length: 22G7, Vocabulary size: 129k · very light blue rounded rectangle · 8 · Tokenized text, Token embedding layer, RMSNorm 1, Multi-head Latent Attention, RMSNorm 2, MoE, Final RMSNorm, Linear output layer · RoPE attached to the attention block on the left side · Multi-head Latent Attention · blue text for the word Latent · FeedForward (SwiGLU) module · 4 · Linear layer, SiLU activation, Linear layer, Linear layer · same structure as left panel · MoE layer · 5 · top combine node, Feed forward, Feed forward, Router, expert count badge 384 · small black square with 1 selected expert, arrows routing upward to experts, dotted divider line, blue border emphasis · Vocabulary size of 160k · Intermediate hidden layer dimension of 3,072 · Supported context length of 256k tokens · First 3 blocks use dense FFN with hidden size 24,576 instead of MoE · Resource savings: Model size is 1.2T but only 1 (shared) + 8 experts active per token; only 52B parameters are active per inference step · 10 · Total parameters: 1.2T, Active parameters per token: 52B (1 + 8 experts), Hidden size: 7,2B, Esmple dimesiegn: 28,432, Intermediate (FF): 3,072, Attention heads: 128, Context length: 256k, Embedding dimension: First 3 blocks, Context ler length: 22G7, Vocabulary size: 160k · Create a highly detailed transformer architecture comparison diagram with mirrored layouts. Each half contains one large model stack diagram plus 2 inset diagrams: 1 feedforward module and 1 MoE layer. Use arrows between blocks, tiny technical labels, and connector lines from labels to the relevant components. Keep the typography dense and slide-like, with orange-red used for all V3/R1 emphasis and blue used for all V4 emphasis. Include a small bottom row of compact tabular metrics spanning the width. Preserve the slightly imperfect, human-made infographic look with very small text and crowded annotations.

PRO

Anime Night Observatory Over Hakodate

Create a cinematic anime-style night landscape from a high mountain observation deck overlooking {ar…

Taiwan Breakfast Shop Candid Portrait

A candid street-side cafe photo of a young East Asian woman seated at a small round table inside a modest Taiwanese breakfast shop, shot in bright natural daylight with realistic smartphone-camera styling. She has long dark brown to black wavy hair draped over her shoulders and back, a slim curvy figure, and wears a fitted white ribbed scoop-neck crop tank top and light gray drawstring sweatpants, plus a very delicate necklace. She is sitting slightly leaned forward toward the camera, with one hand holding a Taiwanese rice roll wrapped in clear plastic close to her mouth as if about to take a bite. Her face is intentionally obscured by a large rectangular blur block centered over the face. On the table in the lower left foreground is 1 large plastic takeaway cup with a sealed lid and straw, filled with a light beige milk tea or soy milk drink, printed with cute cartoon characters and small Chinese text. Also on the table is 1 white paper food bag with orange printing. The setting is a real casual breakfast shop interior: at the far left is a window opening to the street with daylight, leafy shadows, parked scooters, and a white car visible outside; on the left wall is 1 vertical vintage menu sign with multicolored Chinese characters listing breakfast items and drinks; along the top background is 1 wide horizontal menu board filled with many rows of blue and red Chinese text and prices; in the back right is an open stainless-steel kitchen counter area with 1 blurred worker standing behind it and additional Chinese signage on the metal fixtures. Composition is medium shot, centered on the seated woman, with soft natural shadows, slightly warm tones, realistic skin texture, everyday documentary atmosphere, and an authentic Taiwanese local eatery aesthetic.

$Dual Celebrity Photo Shoot Analysis Prompt — { "event_analysis": { "location": "Red Carpet ({argument name="event style" default="Cannes Film Festival sty$

Dual Celebrity Photo Shoot Analysis Prompt

{ "event_analysis": { "location": "Red Carpet ({argument name="event style" default="Cannes Film Festival style"})", "lighting": "Bright, outdoor natural light with professional flash", "total_subjects": 2, "total_looks": 4 }, "subjects": [ { "name": "Sydney Sweeney", "looks": [ { "outfit": { "style": "Elegant/Classic", "garment": "Full-length satin gown", "color": "{argument name="sydney gown color" default="Deep Red"}", "features": ["High neck", "Long sleeves", "Floor-length train"] }, "beauty": { "hair": "Blonde, side-parted, loose waves", "makeup": "Soft glam, neutral tones" } }, { "outfit": { "style": "Glamorous/Glittery", "garment": "Sequin embellished column dress", "color": "Metallic Gold", "features": ["Short sleeves", "Boat neck", "Form-fitting"] }, "beauty": { "hair": "Sleek high ponytail", "makeup": "Bold red lipstick, defined eyeliner" } } ] }, { "name": "Ana de Armas", "looks": [ { "outfit": { "style": "Gothic Romance/Couture", "garment": "Intricate lace overlay gown", "color": "Black", "features": ["Spaghetti straps", "Floral lace patterns", "Sheer details"] }, "beauty": { "hair": "Brunette, effortless beach waves", "makeup": "Smokey eye, nude lip" } }, { "outfit": { "style": "Sophisticated/Modern", "garment": "Tailored blazer dress", "color": "Black and White", "features": ["Sharp lapels", "Button-down white shirt inside", "Mini length"] }, "beauty": { "hair": "Sleek center-parted bun", "makeup": "Clean skin look, contoured cheeks" } } ] } ], "image_metadata": { "format": "4-panel collage", "orientation": "Landscape", "resolution_context": "High Definition" } }

Luxury Patent Artifact Poster

SYSTEM: Render the input as a {argument name="theme" default="luxury patent artifact poster"}. Treat the subject as both a historical intellectual object and a physical machine. Infer what the invention does, how it works, what problem it solves, what internal mechanisms matter, and what era it belongs to. SEMANTIC SOLVE: PATENT_ARTIFACT = (INFER(core_function FROM claims + mechanism + use_case) ::5) + (INFER(structure FROM components + assemblies + motion + logic) ::4) + (INFER(historical_aura FROM era + drafting conventions + industrial context) ::4) + (INFER(hidden_forces FROM failure_points + tolerances + constraints + manufacturing) ::3) - (generic blueprint cliché + sci-fi nonsense + clutter) ::-4 COMPOSITION: One central exploded patent object. Combine luxury rendering with precise technical callouts, sectional layers, hidden assemblies, schematic overlays, and elegant drafting fragments. Show how the invention thinks. STYLE DNA: luxury technical poster ::0.30 museum invention plate ::0.25 engineering drawing elegance ::0.20 high-end object photography ::0.15 archival document texture ::0.10 OUTPUT: A premium white-background innovation poster with exacting detail, beautiful structure, and a sense of intellectual prestige. NEGATIVE: no chaotic diagram overload, no cheap blueprint style, no random gears, no clutter, no low-end infographic look, no watermark.

Golden Backlight Lily Portrait

Use my uploaded portrait photo as the only identity reference. Preserve only the person’s real facial features, face shape, hairstyle, hair color, skin tone, and overall temperament. Generate an ultra-realistic close-up portrait in natural light. The subject is shown in side profile, gently lowering her head toward a {argument name="flower type" default="blooming white lily"}. The flower is placed in the foreground and covered with visible dewdrops. Warm golden backlight comes from the side and behind, creating a soft glowing rim light on the hair, with slight lens flare and a shallow depth of field. The background is a {argument name="background color" default="dark green"} natural blur. The expression is calm, soft, and natural, with the subject not looking at the camera. Keep realistic skin texture, clear eyelashes, and detailed hair strands. The overall mood is romantic, clean, dreamy, and cinematic, like a summer morning photo. Vertical 9:16, high-quality realistic photography, no text, no watermark Do not change the person’s identity. Do not copy the reference subject’s facial features. No anime style, no cartoon look, no plastic skin, no excessive skin smoothing, no fake face, no greasy highlights, no heavy makeup, no distorted facial features, no deformed hands or fingers, no extra flowers, no text, no logo, no watermark, no low resolution, and no overexposure that removes important details

Surreal Floral Petal Portrait

Create a square 1:1 painterly fine art fashion portrait of a graceful feminine figure made almost entirely from thousands of floating flower petals, with the body shown in elegant three-quarter profile facing left. The figure’s head and hair should be a dense sculptural mass of layered blossoms and petals in {argument name="petal color palette" default="dusty rose pink, ivory white, muted mauve, and deep shadow gray"}, with petals forming the neck, shoulders, and upper torso like a fragmented floral gown. Use soft realistic brushwork, high-detail floral textures, romantic surreal atmosphere, moody studio lighting, and a subdued {argument name="background color" default="blue gray"} background. Add many individual drifting petals around the head and shoulders, especially to the left and right edges, as if wind is pulling the figure apart. Place one large opaque square censor-like block over the central face and upper chest area, colored muted brownish mauve, with clean straight edges and no text. Keep the composition elegant, melancholic, and high-fashion, with shallow depth of field, no logo, no watermark, and no written text.

AI image prompt for a girl joining university

A beautiful girl, {argument name="age" default="18"} years old, joining university, realistic, cinematic, long hair, wearing a white shirt and blue jeans, university campus background, high quality, 8k, photorealistic

Spider-Girl Cosplay Selfie Prompt (Yellow)

{ "subject": { "gender": "{argument name="gender" default="female"}", "description": "{argument name="description" default="young woman with long, wavy blonde hair"}", "pose": "{argument name="pose" default="standing in front of a mirror, taking a selfie with a orange iPhone17 pro, slight pout expression"}", "physique": "{argument name="physique" default="curvy, hourglass figure"}" }, "outfit": { "style": "{argument name="outfit style" default="superhero-themed athleisure / cosplay"}", "top": "{argument name="top" default="yellow sleeveless bodysuit with a black spider-web pattern and a large black spider emblem on the chest"}", "bottom": "{argument name="bottom" default="matching high-waisted tight yellow leggings"}", "color_palette": ["{argument name="color 1" default="yellow"}", "{argument name="color 2" default="black"}"] }, "setting": { "location": "{argument name="location" default="indoor bedroom closet"}", "background_details": [ "{argument name="background detail 1" default="white-framed rectangular mirror"}", "{argument name="background detail 2" default="organized walk-in closet with hanging clothes"}", "{argument name="background detail 3" default="shelves with folded garments"}", "{argument name="background detail 4" default="collection of sneakers and boots on the floor and lower shelves"}" ], "lighting": "{argument name="lighting" default="bright, natural indoor lighting, soft shadows"}" }, "technical_specifications": { "camera_angle": "{argument name="camera angle" default="eye-level, front-facing mirror reflection"}", "image_quality": "{argument name="image quality" default="high resolution, sharp focus on the subject"}", "aesthetic": ["{argument name="aesthetic 1" default="clean girl aesthetic"}", "{argument name="aesthetic 2" default="modern influencer style"}", "{argument name="aesthetic 3" default="minimalist interior"}"], "composition": "{argument name="composition" default="full body shot framed by the mirror edges"}" } }

Movement Sheet - Dance Reference (Seedance 2.0)

[STYLE] Monochrome grayscale illustration, 3D-rendered character, clean instructional reference sheet, white background, comic-style cell grid layout, technical diagram aesthetic. [LAYOUT] 4x4 grid layout with a total of 16 panels. Each panel is separated by thin black border lines. Cells are numbered from 1 to 16, with consistent panel sizes. [CHARACTER] image1 (the same character appears consistently in all panels) [PANEL STRUCTURE - per cell] Top-left: bold number badge + English title text Center: full-body character pose illustration Bottom-left: English description text (3-4 lines) Overlay: directional arrows indicating movement [ARROWS / MOTION INDICATORS] Curved arrows, straight arrows, and circular rotation indicators placed around the character to show motion flow and direction. [RENDERING STYLE] Highly detailed 3D sculpted style, soft studio lighting, subtle shadows, no color, grayscale shading, clean linework, game concept art quality. [NEGATIVE] No background scenery, no color tones, no additional characters, no complex background.