medium トレンド
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2025.12.01 10:00
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人気のポスト ※表示されているRP数は特定時点のものです
Nanobanana Pro @higgsfield_ai
なるほどこれは便利!!
いろんなショットを一発で出して、そこから選ぶ感じ
見事にアップスケールしてくれる
プロンプトはリプ欄の元投稿を使わせていただきました
”””
<instruction>
Analyze the entire composition of the input image. Identify ALL key subjects present (whether it's a single person, a group/couple, a vehicle, or a specific object) and their spatial relationship/interaction.
Generate a cohesive 3x3 grid "Cinematic Contact Sheet" featuring 9 distinct camera shots of exactly these subjects in the same environment.
You must adapt the standard cinematic shot types to fit the content (e.g., if a group, keep the group together; if an object, frame the whole object):
**Row 1 (Establishing Context):**
1. **Extreme Long Shot (ELS):** The subject(s) are seen small within the vast environment.
2. **Long Shot (LS):** The complete subject(s) or group is visible from top to bottom (head to toe / wheels to roof).
3. **Medium Long Shot (American/3-4):** Framed from knees up (for people) or a 3/4 view (for objects).
**Row 2 (The Core Coverage):**
4. **Medium Shot (MS):** Framed from the waist up (or the central core of the object). Focus on interaction/action.
5. **Medium Close-Up (MCU):** Framed from chest up. Intimate framing of the main subject(s).
6. **Close-Up (CU):** Tight framing on the face(s) or the "front" of the object.
**Row 3 (Details & Angles):**
7. **Extreme Close-Up (ECU):** Macro detail focusing intensely on a key feature (eyes, hands, logo, texture).
8. **Low Angle Shot (Worm's Eye):** Looking up at the subject(s) from the ground (imposing/heroic).
9. **High Angle Shot (Bird's Eye):** Looking down on the subject(s) from above.
Ensure strict consistency: The same people/objects, same clothes, and same lighting across all 9 panels. The depth of field should shift realistically (bokeh in close-ups).
</instruction>
A professional 3x3 cinematic storyboard grid containing 9 panels.
The grid showcases the specific subjects/scene from the input image in a comprehensive range of focal lengths.
**Top Row:** Wide environmental shot, Full view, 3/4 cut.
**Middle Row:** Waist-up view, Chest-up view, Face/Front close-up.
**Bottom Row:** Macro detail, Low Angle, High Angle.
All frames feature photorealistic textures, consistent cinematic color grading, and correct framing for the specific number of subjects or objects analyzed.
""" December 12, 2025
4RP
Nano Banana Pro×編み物にたくさんのいいねありがとうございます!うまくできないと言ったお声もあったのと、私もうまくいくときといかない時のムラがあるので、画像渡したら安定したクオリティで編み物画像を生成できるプロンプトを作りました!(ちょっと刺繍要素もプラスしています)
画像とこのプロンプトで編み物画像ができちゃいます!ぜひやってみてください⭐️
ーーー
プロンプト:
**Role:** Expert Textile Artist & Fiber Art Photographer
**Task:** Re-imagine the **provided reference image** as a physical, high-quality knitted textile art piece.
**Step 1: Analysis (Internal)**
Analyze the composition, subject matter, and color palette of the attached image exactly as it is. Do not alter the pose or main elements.
**Step 2: Execution (The Output)**
Translate the analyzed visual data into a photorealistic close-up photo of a knitted craft with the following specifications:
* **Medium:** 100% Wool and Yarn. The image must look like a physical object, not a drawing.
* **Technique:** Use "Intarsia knitting" for the main blocks of color (to preserve the illustration's shapes) and "Embroidery stitches" for fine details (eyes, lines, small patterns).
* **Texture:**
* Thick, chunky stitches visible to the naked eye.
* Fuzzy, tactile fibers haloing the edges of the yarn.
* Slight surface unevenness typical of handmade crafts (3D relief effect).
* **Lighting:** Soft, directional studio lighting that creates micro-shadows within the knit loops, emphasizing depth and volume.
* **Background:** If the original background is plain, replace it with a cream-colored chunky knit pattern. If detailed, translate it into a simplified knitted pattern.
**Constraint:** Maintain the likeness of the original image but completely change the material to realistic yarn. December 12, 2025
Nano banana Pro で、
映画のワンシーンを作ったところなんだけど、ヤバすぎる🤯
この高画質画像を生成するために
使ったプロンプトはこちら⬇️
{
"subject": {
"description": "A cute 18-year-old Japanese girl walking through an overgrown city street",
"mirror_rules": "Reflection in broken shop window",
"age": "18",
"expression": "curious, slightly nervous, soft and gentle",
"hair": {
"color": "dark brown",
"style": "straight, medium length, slightly messy from travel"
},
"clothing": {
"top": {
"type": "light hoodie and oversized denim jacket",
"color": "soft pastel pink hoodie with faded blue denim jacket",
"details": "slightly worn edges, light dirt smudges"
},
"bottom": {
"type": "pleated skirt or casual shorts",
"color": "navy or beige",
"details": "a bit dusty, subtle fraying"
}
},
"face": {
"preserve_original": true,
"makeup": "natural look with slight dirt smudges and light weathering"
}
},
"accessories": {
"headwear": {
"type": "none",
"details": "N/A"
},
"jewelry": {
"earrings": "small silver studs",
"necklace": "simple charm necklace",
"wrist": "digital watch with cracked screen",
"rings": "none"
},
"device": {
"type": "flashlight",
"details": "attached to backpack strap with carabiner"
},
"prop": {
"type": "small hiking backpack",
"details": "compact, pastel mint color, slightly dirty, bedroll or blanket attached"
}
},
"photography": {
"camera_style": "Cinematic realism, 35mm wide lens",
"angle": "wide shot establishing environment",
"shot_type": "full body walking away from camera slightly, turning her head",
"aspect_ratio": "16:9",
"texture": "detailed foliage, crisp sunlight, natural soft colors"
},
"background": {
"setting": "ruined city street reclaimed by nature",
"wall_color": "concrete covered in ivy",
"elements": [
"rusted cars",
"tall grass breaking through pavement",
"collapsed building in distance",
"a deer wandering in background"
],
"atmosphere": "quiet, gentle, beautiful decay with a hint of hope",
"lighting": "overcast soft daylight, gentle diffuse shadows"
}
} December 12, 2025
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