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1. مطمئن شید که دارید از آخرین نسخه گوگل جمینای استفاده میکنید یا اینکه برید به وبسایت جمینای.
2. دکمه «+» رو بزنید و گزینه «Upload files» (آپلود فایلها) رو تو مرورگر یا گزینه «Files» (فایلها) رو تو اپلیکیشن انتخاب کنید.
3. از تو دستگاهتون، اون فایل صوتیای که میخواید رو پیدا و انتخاب کنید. جمینای فرمتهای MP3، AAC و WAV رو پشتیبانی میکنه. وقتی انتخابش کردید، فایل توی جمینای آپلود (بارگذاری) میشه.
4. یه دستور (prompt) مثل «transcribe this speech» (این سخنرانی رو پیاده کن) وارد کنید و بذارید جمینای کارش رو شروع کنه. اگه ارور (خطا) داد، نگران نشید، فقط تایپ کنید «try again» (دوباره امتحان کن) تا فایل رو با موفقیت پردازش کنه.
5. وقتی متن آماده شد، ممکنه ببینید که یه سری کلمههای اضافی مثل «اِ...» و «آ...» (همون تپقها و مِن و مِن کردنها) توش هست. برای تمیز کردنش، یه دستوری مثل «?can you clean it up» (میتونی تمیزش کنی؟) یا «remove the ums» (اون اِ... ها رو حذف کن) به جمینای بدید تا یه نسخه تر و تمیز و پولیشخورده از متن رو بهتون تحویل بده.
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{
"Objective": "Generate a cinematic 3-frame collage using the facial features of the attached photo as reference, portraying a woman on a bicycle in a lush green meadow under an overcast sky. The imagery should feel cinematic, poetic, and emotionally resonant — merging gentle movement with reflective stillness.",
"Visual_Concept": {
"Theme": "Harmony between movement, emotion, and nature",
"Tone": "Cinematic realism infused with quiet emotional depth",
"Lighting": "Soft, diffused daylight from an overcast afternoon",
"Color_Style": {
"Overall_Grade": "Moody, natural color grading with gentle contrast",
"Contrast": "Soft highlights and diffused shadows",
"Color_Mix": "Warm earth tones, soft greens, and subtle golden undertones",
"Profile": "Slightly desaturated greens, warm midtones, and soft contrast curve"
},
"Texture_and_Finish": {
"Focus_Transitions": "Smooth transitions emphasizing natural textures and soft motion blur",
"Grain": "Light film grain for nostalgic realism",
"Tone_Curve": "Gentle cinematic curve maintaining tonal richness"
}
},
"Frame_Sequence": {
"Top_Frame": {
"Description": "The woman rides a vintage-style bicycle along a narrow dirt path bordered by tall grass and wildflowers. The meadow opens toward distant rolling hills under a clouded sky. Her auburn hair flows behind her as she pedals, the dark oversized jacket moving with the breeze — a moment of natural freedom and cinematic motion.",
"Mood": "Freedom and gentle exhilaration",
"Composition": {
"Framing": "Wide tracking shot",
"Depth": "Strong environmental presence showing path and horizon line",
"Motion": "Subtle motion blur in background for cinematic realism"
}
},
"Middle_Frame": {
"Description": "A close-up shot of the woman smiling as she rides, with soft, natural light illuminating her face. Strands of auburn hair move across her cheek while her eyes glimmer with quiet happiness. The lush greenery behind her blurs into soft bokeh, adding depth and intimacy to the moment.",
"Mood": "Serene joy and self-reflection",
"Composition": {
"Framing": "Close-up portrait in motion",
"Color_Palette": "Warm skin tones, soft greens, and gentle highlights",
"Lighting": "Natural overcast light with subtle warmth on the face"
},
"Emotion": {
"Expression": "Soft, genuine smile",
"Feeling": "Peaceful contentment and emotional harmony"
}
},
"Bottom_Frame": {
"Description": "The woman has parked her bicycle beside a small pond at the meadow’s edge. She stands next to it, one hand on the handlebars, the other brushing through her hair as she looks toward her reflection in the still water. The trees sway gently in the background, capturing a quiet moment of introspection and connection to nature.",
"Mood": "Calm reflection and emotional stillness",
"Composition": {
"Framing": "Medium shot capturing both subject and reflection",
"Focus": "Selective focus on her profile and reflection in the water",
"Environment": "Soft ripples and muted colors enhancing tranquil mood"
}
}
},
"Camera_Settings": {
"Lens": "50mm f/1.4",
"Aperture": "f/2.0",
"Shutter_Speed": "1/320 sec",
"ISO": 200,
"White_Balance": "6000K",
"Lighting": "100% natural overcast daylight",
"Focus_Mode": "Manual (for selective sharpness on eyes, hair, and bicycle details)",
"Color_Profile": {
"Greens": "Slightly desaturated",
"Midtones": "Warm and natural",
"Contrast": "Soft, filmic curve"
}
},
"Collage_Layout": {
"Frames": 3,
"Orientation": "Vertical",
"Layout_Type": "Cinematic 3×1 sequence",
},
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1. به آدرس labs.google/pomelli برید.
2. آدرس سایتتون رو وارد کنید. «پوملی» سایت رو کامل تحلیل میکنه و یه چیزی به اسم «DNA کسبوکار» (Business DNA) براتون میسازه که بر اساس هویت برند شماست. این DNA شامل همهچیز میشه: «لحن و بیان» (Tone of voice) شما، فونتهای مخصوصی که استفاده میکنید، عکسها و پالت رنگیتون.
* میتونید خودتون بهش دستور متنی (Prompt) بدید تا محتوایی که توی ذهنتونه رو بسازه.
* یا میتونید از بین گزینههای آمادهای که خود «پوملی» پیشنهاد میده، یکی رو انتخاب کنید.
در مرحله بعد، «پوملی» یه پکیج کامل از فایلهای تبلیغاتی (مثل عکس، پوستر، متن و...) که همهشون مطابق با برند شما هستن، تحویل میده.
شما میتونید این فایلها رو هرچقدر که لازم دارید ویرایش کنید. بعد هم دانلودشون کنید و توی کانالهای مختلف مثل شبکههای اجتماعی، سایت، یا تبلیغاتتون ازشون استفاده کنید.
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Realistic portrait photo, realistic photoshoot of a beautiful woman sitting ,close to the camera, surrounded by elegant flamingos in shallow reflective water. Beautiful pink dress, Soft pink clouds drift across the surface, mirroring the pastel gradient background of rose, peach, and lavender tones. with a slight depth of field that softly blurs the background.
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1. اول برو تو سایت ChatGPT و لاگین کن.
2. هر وقت یه عکس ساختی و دیدی که زردی داره، این پرامپت (دستور) پایین رو کپی کن و بهش بده:
Apply the neutralize_yellow function to the image:
import cv2 import numpy as np def neutralize_yellow(image): """ Takes a BGR image (NumPy array) and reduces yellow tint to make colors more neutral. Returns a new neutralized image. """ # Convert to LAB color space (L = lightness, A = green–red, B = blue–yellow) lab = cv2.cvtColor(image, cv2.COLOR_BGR2LAB) # Split into channels L, A, B = cv2.split(lab) # Compute how much yellow there is (positive shift in B channel) yellow_strength = np.mean(B) - 128 # 128 = neutral midpoint # Reduce yellow by shifting B channel toward neutral (128) if yellow_strength > 0: correction = np.clip(B - yellow_strength * 0.8, 0, 255) lab = cv2.merge((L, A, correction)) else: lab = cv2.merge((L, A, B)) # Convert back to BGR neutral_img = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR) return neutral_img # Example use from another script: # from remove_yellow_tint import neutralize_yellow # neutral_image = neutralize_yellow(image_from_other_script)
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Realistic photo of a pretty Korean woman with long, wavy hair, sitting across the seat of a vintage train. The interior is softly lit by natural daylight streaming through the window, revealing a lush garden of blooming colorful flowers growing inside the train — vines, daisies, and soft wild blooms surrounding her. She wears a flowing long boho dress in earthy, natural tones. Her pale skin glows gently in the light, and the mood feels dreamy yet natural.
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📌 عکستو با اسم و لقبی که داری از جمینای تحویل بگیر!
🔖
🔤 🔤 🔤 🔤 🔤 🔤 🔤 🔤 🔤 🔤 🔤 🔤 🔤
🔝 برای معرفی خدمات و نحوه ورود به کانال VIP اینجا کلیک کنید. ( پکیج پرامپت های طلایی و آموزش های اختصاصی )
✈ @Promptologists
💬 @irpromptologists
Ultra-realistic 8K full body portrait of this model, wearing a managers vibe clothing and polished shoes.
Casually and unpretentiously leaning against a smooth light gray studio wall; hands are in pockets or crossed over the chest and one leg is crossed over the other, with relaxed and confident body language.
Add to the wall next to them a prominent vector portrait in black and white of their face and bust - with sharp lines and angles, overlapping polygonal shapes and a minimalist modern graphic style, right below the information: “[اسم کامل شخص]”, and below the name: “[لقب یا حرفه ش]”.
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{
"Objective": "Generate a cinematic 3-frame collage capturing a man in an urban night setting, using dramatic lighting and atmospheric tension. The imagery should explore introspection, solitude, and subtle movement through expressive composition and mood-driven storytelling.",
"Visual_Concept": {
"Theme": "Solitude and self-reflection in the modern city",
"Tone": "Neo-noir realism with cinematic depth and emotional tension",
"Lighting": "Artificial mixed light sources — streetlights, neon glow, and soft reflections from wet pavement",
"Color_Style": {
"Overall_Grade": "Cinematic teal-and-orange palette with controlled highlights",
"Contrast": "High contrast with rich shadows and sharp highlights",
"Color_Mix": "Cool ambient tones (blue/cyan) balanced by warm light accents (amber/orange)",
"Profile": "Subtle film grain with enhanced dynamic range for realism"
},
"Texture_and_Finish": {
"Focus_Transitions": "Sharp subject focus with soft falloff on background light sources",
"Grain": "Moderate film grain to enhance the cinematic mood",
"Tone_Curve": "S-shaped filmic curve for depth and emotion"
}
},
"Frame_Sequence": {
"Top_Frame": {
"Description": "A man walks alone across a dimly lit street after a light rain. The pavement glistens under neon signs reflecting from nearby buildings. He wears a dark trench coat and carries a small messenger bag slung across his shoulder. The moment captures isolation amid the city’s quiet hum.",
"Mood": "Loneliness and quiet resilience",
"Composition": {
"Framing": "Wide environmental shot with reflections on wet pavement",
"Depth": "Urban depth through layered light sources and street reflections",
"Lighting": "Mixed neon and tungsten tones"
}
},
"Middle_Frame": {
"Description": "A close-up of the man’s face illuminated by a nearby storefront sign. Raindrops cling to his hair and jacket as he glances sideways, lost in thought. His expression conveys fatigue and quiet determination, with the glow of red and blue lights painting his features.",
"Mood": "Introspection and emotional depth",
"Composition": {
"Framing": "Tight portrait with shallow depth of field",
"Color_Palette": "Teal shadows, warm highlights on skin",
"Lighting": "Directional light from signage for cinematic contrast"
},
"Emotion": {
"Expression": "Pensive, focused gaze",
"Feeling": "Contemplative, burdened but composed"
}
},
"Bottom_Frame": {
"Description": "The man stands beneath an overpass, looking out toward the blurred lights of the city skyline. A light drizzle continues, catching the glow of the distant traffic. He lights a cigarette, the flame briefly illuminating his face before the scene fades into soft darkness.",
"Mood": "Resolution through solitude and calm acceptance",
"Composition": {
"Framing": "Medium shot with leading lines from overpass architecture",
"Focus": "Soft on background, sharp on flame and face",
"Lighting": "Low-key with accent light from lighter and city glow"
}
}
},
"Camera_Settings": {
"Lens": "35mm f/1.8",
"Aperture": "f/1.8 (for dramatic depth and bokeh on lights)",
"Shutter_Speed": "1/125 sec",
"ISO": 800 (for low-light detail retention)",
"White_Balance": "3200K (cool night tones)",
"Lighting": "Artificial street and ambient city light only",
"Focus_Mode": "Manual selective focus (emphasis on eyes and reflections)",
"Color_Profile": {
"Shadows": "Cool blue tones",
"Highlights": "Warm amber and orange",
"Contrast": "Cinematic soft roll-off"
}
},
"Collage_Layout": {
"Frames": 3,
"Orientation": "Vertical",
"Layout_Type": "Cinematic 3×1 sequence",
"Aspect_Ratio_Per_Frame": "21:9 (ultra-widescreen cinematic format)",
},
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