2024年、みなさん本当にお世話になりました😭 先日、自分の心を洗う気持ちでお寺でのお掃除を手伝いました。なんかいい事するってやっぱ心が洗われるますね。いいことの連鎖が2025年は続きますように😉 2024年は、本当にいろんなことがあった年でした😭 今年は、Coinくんとのコラボから始まり、Coachとの取り組み、バンクーバーでTEDの登壇、万博のスペサポ就任、初のテレビレギュラー、パリコレへの参加、abemaでの番組などなどなど🍬 濃密な年でした。来年はどんな年になるだろう？より邁進していきたいと思います🍭 Thank you all so much for your help in 2024! The other day, I helped clean up at a temple with the intention of washing my own heart. Doing something good really does cleanse the heart. May the chain of good things continue in 2025! The year 2024 was a year in which so many things happened! Starting with the collaboration with Coinparking delivery working with Coach, speaking at TED in Vancouver, becoming a special supporter of Expo 2010, my first TV regular, participating in Paris Collection, and a program on abema, etc.... It was an intense year. What kind of year will next year be? I would like to push forward even harder!

imma

@imma.gram · Digital creator

INSTAGRAM · 2024-12-30Source

-1likes

6comments

Remix This

Prompt

【Base Prompt】
Faithful recreation of the reference image. Use placeholders: {SUBJECT}, {SUBJECT_DESC}, {WARDROBE}, {SETTING}, {POSE}. Setting cues: Outdoors near a building with green and yellow ginkgo trees.. Subject cues: bald man in blue samue; woman with pink hair in blue samue; orange dustpan with yellow leaves; traditional straw broom. Wardrobe cues: blue samue (traditional Japanese work clothes); white tabi socks; zori sandals. Pose/action cues: man crouching and holding a dustpan; woman sweeping with a straw broom; both looking down at the leaves. Composition cues: Full-body shot; vertical orientation; man crouching on the left; woman standing on the right; dustpan in the bottom left foreground. Lighting cues: Natural daylight; soft lighting; overcast sky. Style cues: Realistic photography; candid shot; cultural context; high resolution. Mood cues: Peaceful; diligent; serene; focused. Keep natural skin texture, realistic details, and social-feed framing.

【Shot Prompts】
[SHOT 1] Faithful recreation of the reference image. Use placeholders: {SUBJECT}, {SUBJECT_DESC}, {WARDROBE}, {SETTING}, {POSE}. Setting cues: Outdoors near a building with green and yellow ginkgo trees.. Subject cues: bald man in blue samue; woman with pink hair in blue samue; orange dustpan with yellow leaves; traditional straw broom. Wardrobe cues: blue samue (traditional Japanese work clothes); white tabi socks; zori sandals. Pose/action cues: man crouching and holding a dustpan; woman sweeping with a straw broom; both looking down at the leaves. Composition cues: Full-body shot; vertical orientation; man crouching on the left; woman standing on the right; dustpan in the bottom left foreground. Lighting cues: Natural daylight; soft lighting; overcast sky. Style cues: Realistic photography; candid shot; cultural context; high resolution. Mood cues: Peaceful; diligent; serene; focused. Keep natural skin texture, realistic details, and social-feed framing. Shot focus: man crouching and holding a dustpan.
[SHOT 2] Faithful recreation of the reference image. Use placeholders: {SUBJECT}, {SUBJECT_DESC}, {WARDROBE}, {SETTING}, {POSE}. Setting cues: Outdoors near a building with green and yellow ginkgo trees.. Subject cues: bald man in blue samue; woman with pink hair in blue samue; orange dustpan with yellow leaves; traditional straw broom. Wardrobe cues: blue samue (traditional Japanese work clothes); white tabi socks; zori sandals. Pose/action cues: man crouching and holding a dustpan; woman sweeping with a straw broom; both looking down at the leaves. Composition cues: Full-body shot; vertical orientation; man crouching on the left; woman standing on the right; dustpan in the bottom left foreground. Lighting cues: Natural daylight; soft lighting; overcast sky. Style cues: Realistic photography; candid shot; cultural context; high resolution. Mood cues: Peaceful; diligent; serene; focused. Keep natural skin texture, realistic details, and social-feed framing. Shot focus: woman sweeping with a straw broom.
[SHOT 3] Faithful recreation of the reference image. Use placeholders: {SUBJECT}, {SUBJECT_DESC}, {WARDROBE}, {SETTING}, {POSE}. Setting cues: Outdoors near a building with green and yellow ginkgo trees.. Subject cues: bald man in blue samue; woman with pink hair in blue samue; orange dustpan with yellow leaves; traditional straw broom. Wardrobe cues: blue samue (traditional Japanese work clothes); white tabi socks; zori sandals. Pose/action cues: man crouching and holding a dustpan; woman sweeping with a straw broom; both looking down at the leaves. Composition cues: Full-body shot; vertical orientation; man crouching on the left; woman standing on the right; dustpan in the bottom left foreground. Lighting cues: Natural daylight; soft lighting; overcast sky. Style cues: Realistic photography; candid shot; cultural context; high resolution. Mood cues: Peaceful; diligent; serene; focused. Keep natural skin texture, realistic details, and social-feed framing. Shot focus: both looking down at the leaves.

【Negative Prompt】
blurry, distorted faces, extra limbs, messy hair, unrealistic colors, low resolution

【Notes】
- Observed caption cue: A man and a woman in blue traditional Japanese work clothes are cleaning up yellow ginkgo leaves outdoors.
- Keep scene structure stable; only swap SUBJECT/WARDROBE/POSE where needed.
- Preserve composition anchors: Full-body shot; vertical orientation

How imma.gram Made This Ginkgo Leaf Cleanup AI Portrait - and How to Recreate It

This page turns a single image into a practical growth case for small creators. The key is not copying surface style; it is reproducing the mechanism that made the frame memorable and shareable.

Why this post can travel

The image works because it compresses context, mood, and identity into one quick read. In fast-feed behavior, audiences reward frames that are instantly understandable but still feel personal and specific.

Caption cue: 2024 2025 2024 Coin Coach TED abema ? Thank you all so much for your help in 2024! The other day, I helped clean up at a temple with the intention of washing my own heart. Doing so. The visual language aligns with this cue through scene consistency and clean composition, which helps improve saves and profile click-through.

Observed case metadata: scene = lifestyle social media scene, palette = balanced natural tones with one accent color, likes = N/A, comments = 6.

Signal	Evidence (from this image)	Mechanism	Replication Action
Instant readability	Clear subject hierarchy and uncluttered frame	Low cognitive load increases scroll-stop rate	Lock one primary focal subject and remove secondary noise
Mood coherence	Scene and caption point to the same emotional direction	Consistency improves memory and trust	Write caption after framing visual mood, not before
Repeatable format	Simple, structured visual grammar	Enables fast iteration without losing identity	Keep 3 constants and change only 1-2 knobs per remix

Where this style fits and where it does not

Best-fit scenarios

Travel and lifestyle storytelling: keep scene anchors, swap local details.
Creator brand world-building: keep color logic and camera behavior consistent.
Series posts for growth loops: keep composition fixed, rotate one variable each run.

Not ideal

Dense product explainers requiring many textual overlays.
Highly technical demos where small object detail is the main goal.
Mismatched campaign tone (for example calm visual style with aggressive sales messaging).

Three transfer recipes

Keep: composition and light direction. Change: location objects and wardrobe details. Template: "{scene} {wardrobe} {prop} {mood}".
Keep: color contrast logic. Change: surface textures and prop scale. Template: "{location} with {accent color} and {hero object}".
Keep: narrative perspective. Change: daypart and activity cue. Template: "{time of day} {activity} in {visual style} with {signature detail}".

Aesthetic read

The strongest aesthetic property is controlled clarity. The frame prioritizes one visual thesis, then supports it with clean depth, reliable lighting, and limited palette noise. This keeps the image premium without feeling overproduced.

For recreation, focus on objective cues: subject fill ratio, background cleanliness, light direction, and texture realism. These are the variables that maintain platform performance while still allowing creative variation.

Observed	Recreate	Why it matters
Feed-native vertical framing	Use 5:6 or 9:16 with clean focal center	Maximizes mobile readability
Coherent scene identity (lifestyle social media scene)	Preserve environment class while changing micro-props	Protects narrative clarity
Limited palette (balanced natural tones with one accent color)	Keep one accent family and one neutral base	Improves thumbnail recognition

Prompt technique breakdown

Prompt chunk	What it controls	Swap ideas (EN, 2-3 options)
subject + pose/gesture	Character readability and emotional signal	standing portrait / seated POV / walking stride
scene + background cleanliness	Context and cognitive load	open landscape / cafe tabletop / urban street
lighting direction + softness	Mood and material realism	soft side light / sunset rim light / diffuse overcast
lens feel + depth of field	Hierarchy and subject separation	28mm documentary / 35mm lifestyle / 50mm shallow depth
texture realism + imperfections	Authenticity versus synthetic look	micro-grain / subtle condensation / natural fabric wrinkles

Remix execution playbook

Baseline Lock: lock composition, lighting direction, and lens feel first.

One-change rule: change only 1-2 knobs per run so attribution stays clear.

Run 1: reproduce baseline exactly for control.
Run 2: change only environment detail (prop or backdrop).
Run 3: change only wardrobe/accent color behavior.
Run 4: change only time-of-day lighting and pick the strongest save-intent version.