Can I customize the Lo-Fi Gym Mirror Selfie with Sydney Sweeney Likeness template?

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

Is the Lo-Fi Gym Mirror Selfie with Sydney Sweeney Likeness template free?

This template is free to open and customize. Generation usage is shown in PicX Studio before you create.

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.

Lo-Fi Gym Mirror Selfie with Sydney Sweeney Likeness — AI Image Template for nano-banana-2

Golden Hour Fashion Collage

Create a trendy vertical aesthetic collage poster featuring the same {argument name="subject" default="20-year-old South Asian man"} with dark curly-wavy hair, light stubble, and stylish orange sunglasses. The collage should showcase three different cinematic poses arranged diagonally with smooth brush-stroke transitions between them. He is wearing a {argument name="clothing" default="gray oversized button-up shirt with rolled-up sleeves and black loose-fit trousers"}.Set the scene during a dreamy golden-hour sunset with warm sunlight, soft shadows, and a vibrant cinematic atmosphere. Include artistic lighting, subtle lens flares, depth of field, and a premium editorial fashion look. The background should feature a blend of urban and natural elements with a luxurious, modern aesthetic.Ultra-realistic photography, high detail, sharp focus, rich colors, Instagram-worthy composition, professional poster design, 4K quality, stylish youth fashion vibe, clean background, no text, no watermark, no logo, no editing

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High-End Matcha Product Photography Prompt for Nano Banana 2

High-end commercial product photography of an iced matcha latte labeled “healthy Matcha” in a transp…

PRO

2x2 Grid Fashion Photoshoot Collage

Use my uploaded photo as the identity reference. Create a professional studio fashion photoshoot in…

$Luxury Daytime Garden Portrait in Ivory Gown — { "render_goal": "Luxury daytime garden portrait", "subject": { "pose": "female walking slowly", "exp$

Luxury Daytime Garden Portrait in Ivory Gown

{ "render_goal": "Luxury daytime garden portrait", "subject": { "pose": "female walking slowly", "expression": "effortless grace", "skin_tone": "fair porcelain" }, "wardrobe": "{argument name="gown color" default="ivory"} chiffon gown with layered softness", "environment": { "location": "bright {argument name="garden color" default="white"} flower garden", "props": "soft shadows, natural sunlight" } }

SynClub Chat Sound Effects Guide

Goal: Create a vertical Japanese infographic guide for SynClub explaining in-chat sound effects triggered by typing words in parentheses. Use the headline {argument name="headline text" default="チャット内効果音一覧ガイド"} and the brand name {argument name="brand name" default="SynClub"}. Canvas: Portrait 2:3 layout, cream parchment background with navy and gold accents, thin geometric lines, small sparkle icons, rounded cards, clean app-guide styling. Top left has the SynClub logo icon and wordmark on a dark navy header strip. Main title is large, bold Japanese typography in dark navy and gold. Under the title, add the instruction: 「（）で囲んだワードを入力すると、効果音が再生されます！」. Layout: Left two-thirds contains the main guide list in four stacked rounded category cards. Right side contains a chibi anime guide character at the top and a smartphone-like chat screen mockup below. Bottom left contains a navy usage-tip box, and bottom right contains a gold-bordered callout banner. Subject details: At upper right, draw a cute chibi schoolgirl-style anime character with long dark hair, navy uniform, gold hairpins, and a pointing stick; include a speech bubble saying 「使ってみてね！」. Her face is covered by a centered soft gray square blur/censor block. Use {argument name="guide character style" default="chibi anime schoolgirl with long dark hair and navy uniform"} for the character styling. Guide list: Show exactly 4 sound-effect categories, each with an icon, colored title, and visible trigger phrases in Japanese parentheses. 1. 「ドア系」 with a door icon, brown/gold header, 5 trigger phrases: 「（ドアをノックする）」「（ドアを叩く）」「（ドアを開ける）」「（ドアを閉める）」「（鍵をかける）」. 2. 「書籍系」 with an open-book icon, blue header, 3 trigger phrases: 「（本を開く）」「（ページをめくる）」「（本を閉じる）」. 3. 「触れ合い系」 with a handshake icon, gold header, 8 trigger phrases: 「（抱きしめる、ハグ、抱く）」「（服を脱ぐ）」「（撫でる）」「（頭を撫く）」「（袖を引っ張る）」「（ドキドキ、赤面、頬が真っ赤）」「（舐める）」 plus one line spacing/continuation style as in a compact list. 4. 「生活系」 with a house icon, green header, 3 trigger phrases: 「（靴を振る）」「（携帯が鳴る）」「（布団に入る）」. Chat mockup: Right middle shows a dark navy rounded phone frame labeled 「会話画面イメージ」. Inside is an anime chat scene with a silver-haired fantasy woman in warm café lighting. At the top of the chat image, show the name {argument name="chat character name" default="ファンネリア"}. Overlay exactly 4 rounded chat bubbles: two salmon/pink narrator bubbles and two navy user-response bubbles. Highlight some trigger words in yellow inside the pink bubbles, including 「ドアをノックする」 and 「頬を赤らめつつ」. Keep Japanese chat text small and atmospheric; it does not need to be fully legible, but must resemble a real roleplay chat screen. Bottom text: Bottom left navy box titled 「使い方のポイント」 with a lightbulb icon. Include explanatory Japanese text saying sound effects trigger when actions are written in parentheses in the sentence, example 「（ドアをノックする）失礼します…」, and a highlighted note: 「『会話動画』生成の際、自分側の台詞に効果音の記述を挿入しても再生されます。」 Add a small disclaimer below: 「※上記はすべてではありません…まだ判明していない効果音が存在します！」 with a small exclamation icon. Bottom right gold callout with megaphone icon says 「よりリアルな会話体験を！」 and underneath 「効果音を活用して、臨場感あふれるチャットを楽しみましょう！」. Visual style: Polished Japanese social-media infographic, high-resolution, crisp readable typography, warm cream background, dark navy borders, gold highlights, rounded rectangles, subtle star sparkles. Keep all Japanese text clean and correctly placed. No watermark beyond the SynClub brand mark.

$Hyper-realistic Gym Portrait of a Shy Girl — { "task": "image_generation", "style": { "resolution": "8K", "look": "hyper-realistic, c…$

PRO

Hyper-realistic Gym Portrait of a Shy Girl

{ "task": "image_generation", "style": { "resolution": "8K", "look": "hyper-realistic, c…

Bookstore Brand Board with Poodle Mascot

brand identity board · {argument name="brand name" default="Susumeme"} · {argument name="tagline" default="Books, thoughtfully for you."} · warm, elegant, literary bookstore branding centered on a small apricot toy poodle mascot sitting on a stack of vintage books with a delicate olive branch accent · minimal editorial layout, soft cream background, thin taupe divider lines, refined serif typography, calm and premium Japanese boutique branding · toy poodle · soft curly apricot-beige fur · front-facing, seated or lying with paws over a stack of 3 books · gentle, intelligent, comforting · sometimes a brown collar · small botanical sprig with muted sage leaves · 3 · stacked vintage hardcovers in muted green, beige, and dusty rose with gold-lined spines · 3 · 3 · 01 · BRAND LOGO · top left · 1 · primary logo · large mascot illustration above the wordmark and tagline · 01 · ICON VARIATIONS · top left right-side subpanel · 3 · circular badge logo, full color small icon, line-art icon · one round seal with the dog on books and surrounding text, plus two small alternate icons beneath it · 02 · COLOR PALETTE · top center · 5 · Forest Green #39513D, Sage Green #A6B49A, Warm Beige #F1E9DD, Mocha Brown #8B6F4E, Dusty Rose #C9A3A3 · five circular color swatches with names and hex values, plus a horizontal usage balance bar using all 5 colors · 03 · TYPOGRAPHY · top right · 3 · HEADING FONT, BODY FONT, ACCENT FONT · Playfair Display for headings, Noto Serif JP for body copy with Japanese sample text, and Cormorant Garamond as accent font, each shown with uppercase, lowercase, and numerals · 04 · BUSINESS CARD · middle left · 2 · front, back · two business card mockups, one with logo and green bottom band, one with contact details and mascot · 05 · MENU / SERVICES · middle center · 3 · CURATED BOOK SELECTION, THEME BOOKS, TIME WITH BOOKS · three rounded service cards with small illustrations and Japanese descriptions, priced at ¥3,300~, ¥5,500~, and ¥11,000~ · 06 · VISUAL APPLICATIONS · middle right · 3 · POSTER, SHOP SIGN, SHOP WINDOW · a poster layout, a circular hanging shop sign, and a dark shop window graphic using the same dog-and-books branding · 07 · STATIONERY / TAGS · bottom left · 4 · white hanging tag, green hanging tag, round sticker tag, wax seal · paper goods and packaging accents featuring the mascot and leaf motif · 08 · PATTERN · bottom center left · 1 · brand pattern · repeating pattern on cream with small mascot icons, leaf sprigs, and tiny book motifs · 09 · BRAND KEY MESSAGE · bottom center-right · 1 · quote block · large editorial quote reading {argument name="key message" default="Books connect us. Stories stay with us. Let’s find yours."} · ABOUT · ABOUT SUSUMEME · bottom right · 1 · about panel · Japanese brand description inside a rounded cream card with a small leaf illustration · a realistic hero image of the apricot toy poodle lying on the 3-book stack on a wooden tabletop beside a soft-focus glass vase with greenery · delicate watercolor and colored-pencil storybook illustration for the mascot, mixed with realistic lifestyle mockups · soft natural daylight, subtle shadows, airy and calm · muted green, cream, beige, mocha, dusty rose · clean brand guideline presentation with spacious margins and precise alignment · slight paper-like warmth and elegant print-design finish · English section headings with some Japanese body copy · {argument name="brand name" default="Susumeme"} · {argument name="tagline" default="Books, thoughtfully for you."} · {argument name="brand name" default="Susumeme"}

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.

$Sunlit Countryside Milk Drinking Portrait — { "image_generation_prompt": { "subject": { "description": "Young woman sitting in a sunlit countryside$

Sunlit Countryside Milk Drinking Portrait

{ "image_generation_prompt": { "subject": { "description": "Young woman sitting in a sunlit countryside field drinking milk from a glass bottle, Use uploaded reference image, keep identity exact", "identity_lock": "STRICT — Use uploaded reference image, keep identity exact. Preserve facial structure, skin tone, eyes, proportions. Do not alter identity.", "pose": { "body_position": "sitting on the ground in a relaxed leaning pose", "torso": "slightly reclined backward supported by one arm", "head_position": "tilted slightly back and to the side while drinking", "arms": "one hand holding a glass milk bottle near lips, other arm extended behind for support", "legs": "one leg bent casually, the other extended out of frame", "posture": "natural relaxed countryside pose", "expression": "eyes gently closed or relaxed while drinking" } }, "face_details": { "instruction": "Use uploaded reference image, keep identity exact", "expression": "calm, natural, soft enjoyment expression", "skin": "realistic skin texture with visible pores and slight sun glow", "eyes": "natural relaxed eyelids, soft shadows", "imperfections": "subtle asymmetry, natural skin variation" }, "hair": { "instruction": "Preserve hairstyle exactly", "style": "long brunette hair tied into a low side ponytail with a white ribbon", "details": "soft natural strands, slight movement from breeze" }, "makeup": { "style": "natural soft glam", "skin_finish": "light sun-kissed glow", "eyes": "neutral tones with soft eyeliner and mascara", "lips": "natural pink tone with slight gloss", "imperfection": "slightly uneven blending for realism" }, "clothing": { "outfit": "{argument name="dress color and pattern" default="light beige dress with black polka dots"}", "fit": "flowy feminine fit with soft fabric folds", "details": "short sleeves, lightweight fabric reacting to sunlight" }, "environment": { "setting": "open countryside field", "background": "large black and white cow standing behind subject, grassy field with wildflowers, blue sky with soft clouds", "ground": "dry grass mixed with small flowers and natural texture", "props": "glass milk bottle with slight milk spill detail" }, "lighting": { "type": "natural sunlight", "style": "bright midday rural sunlight", "effect": "warm highlights and soft natural shadows", "shadows": "directional shadows on grass and body", "imperfections": "slight highlight clipping and natural exposure variation" }, "camera": { "type": "DSLR", "lens": "50mm", "angle": "slightly low angle, close to ground perspective", "distance": "medium shot", "focus": "sharp focus on subject, sligh" } } }

Mirrored Actor Retrospective Poster

Using the provided reference image, redesign the poster layout by horizontally flipping the macro composition. Move the large primary profile face to the right side, looking left. Move the main title {argument name="main title" default="LEONARDO A LIFE IN ROLES"} to the top right. Relocate the filmography timeline to the right column beneath the title, and append new era category labels to the far right: "YOUTH 1990s", "ASCENT 2000s", "EXCESS 2010s", and "SURVIVAL 2020s". Shift the blended character montage to the left side and lower middle, featuring exactly 12 distinct smaller character portraits (including a pilot, a man yelling into a microphone, a tuxedoed man toasting, and a bearded frontiersman). In the bottom left corner, introduce new elements not in the reference: a vintage pocket watch on a chain, blood splatter, and an axe handle. At the bottom right, add a new quote {argument name="quote text" default="HE DOESN'T JUST PLAY CHARACTERS. HE HOLDS UP A MIRROR TO THE CENTURY."} and exactly 2 award laurel graphics reading "ACADEMY AWARD WINNER" and "A CAREER FOR THE AGES". Add a final bottom-center tagline {argument name="tagline" default="SAME MAN. ENDLESS TRUTHS."} above the signature.

Lo-Fi Gym Mirror Selfie with Sydney Sweeney Likeness

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Can I customize the Lo-Fi Gym Mirror Selfie with Sydney Sweeney Likeness template?

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Which AI model should I use?

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Lo-Fi Gym Mirror Selfie with Sydney Sweeney Likeness

The prompt

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