Jayanta Bhai
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📈 تحلیل کانال تلگرام Jayanta Bhai
کانال Jayanta Bhai (@jayantabhai06) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 103 051 مشترک است و جایگاه 115 را در دسته هنر و طراحی و رتبه 2 543 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 103 051 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 21 سپتامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 896 و در ۲۴ ساعت گذشته برابر -24 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 11.38% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 3.20% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 11 727 بازدید دریافت میکند. در اولین روز معمولاً 3 296 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 8 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند editing, background, dialogue, edit, cartoon تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“This Channel is all about Video & Photo Editing Tutorial's”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 22 سپتامبر, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته هنر و طراحی تبدیل کردهاند.
103 051
مشترکین
-2424 ساعت
+137 روز
+89630 روز
در حال بارگیری داده...
کانالهای مشابه
ابر برچسبها
اشارات ورودی و خروجی
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جذب مشترکین
سپتامبر '26
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مه '25
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+2 550
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+3 412
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+7 120
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دسامبر '24
+10 789
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| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 21 سپتامبر | 0 | |||
| 20 سپتامبر | 0 | |||
| 19 سپتامبر | +14 | |||
| 18 سپتامبر | +21 | |||
| 17 سپتامبر | +42 | |||
| 16 سپتامبر | +16 | |||
| 15 سپتامبر | +35 | |||
| 14 سپتامبر | +120 | |||
| 13 سپتامبر | +54 | |||
| 12 سپتامبر | +27 | |||
| 11 سپتامبر | +27 | |||
| 10 سپتامبر | +130 | |||
| 09 سپتامبر | +37 | |||
| 08 سپتامبر | +8 | |||
| 07 سپتامبر | +8 | |||
| 06 سپتامبر | +45 | |||
| 05 سپتامبر | +64 | |||
| 04 سپتامبر | +27 | |||
| 03 سپتامبر | +62 | |||
| 02 سپتامبر | +14 | |||
| 01 سپتامبر | +21 |
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| 10 | Prompt 2—-
Photorealistic cinematic portrait of a beautiful young Indian woman in a white-and-red Bengali saree with ruffled border, traditional gold jewelry, barefoot, standing gracefully beside ancient stone temple pillars and steps. Soft golden-hour sunlight, warm sun rays, flowing black hair, serene downward gaze, natural expression, shallow depth of field, dreamy bokeh, DSLR photography, ultra-detailed, 8K, vertical 4:5.a big durga idol in background in hazy.kans grass in hand. | 12 116 |
| 11 | Prompt 1–
A vintage-inspired
Bengali aesthetic portrait of a girl wearing a white saree with a red border and a red blouse, her saree pallu flying high in the windy environment with retro grace. She has a tiny maroon bindi, subtle makeup and reddish-brown wavy hair flowing gently. Holding unbloomed lotus flowers in her hands, she stands calm, happy yet introspective, in front of a massive half-made muddy Durga Maa idol at Kumortuli, where sunrays fall divinely upon the sculpture.
The background is slightly blurred and muted in tone, while she remains colorful, sharp, and radiant, embodying the soulful agomoni essence of Durga Puja with an aesthetic, vintage, and timeless charm. Keep the girls face 100% same without any alterations. 3:4 ratio | 11 428 |
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| 18 | Video prompt ——
Three friends reunite on vintage motorcycles, singing joyfully on an Indian country road in an authentic, hyperrealistic 1980s film scene. Generate an Indian rural two-lane asphalt road with dusty shoulders, lush shrubs, trees, fields, simple utility poles and sagging wires under a bright cloudy sky. The riding stretch is clear. Render real skin, woven fabric, worn rubber and vibrating metal. @Image1 = Friend1 face; @image2 = Friend2; @image3 = Friend3 face. @bike1 = Friend1 bike1; @bike2 = Friend2 bike2; @bike3 = Friend3 bike3. Preserve distinct identities and each bike's design, color and mechanics. All are subtly different 1980s bikes. Generate bodies, wardrobe and surroundings. Friend1 brown wide-collar shirt, patterned red collar and cuffs, white flared trousers, black shoes, lightly tinted aviators. Friend2: mustard wide-collar shirt, dark flared trousers. Friend3: muted blue wide-collar shirt, cream trousers. They are joyful close friends; each keeps his assigned bike. 0.0-1.2s — Full-body roadside tripod shot. First frame: Friend1centered beside parked bike1. He steps toward its handlebars; wind moves his shirt. Hard cut. 1.2-3.6s — Tight oblique close-up, handheld beside bike1: Friend1 red-patterned cuff and hand bring a metal key into view. Follow the key into the bike's actual ignition position; he inserts and turns it. Preserve the reference bike's layout. Hard cut. 3.6-5.8s — Medium side view, low tripod: Friend1 settles astride bike1 and drives the kick-start lever downward with his foot. The engine catches, metal trembles, suspension compresses; his hands settle on the grips. Hard cut. 5.8-11.0s — One uninterrupted front-facing tracking shot from a lead vehicle, camera 1.1m high, initially 5m ahead. Friend1 is already riding and singing, centered. Gradually widen to an 84-degree diagonal field of view and pull 8m ahead to accommodate three bikes. At 7.0s Friend2 visibly advances from the distant background on SCREEN-LEFT, closes the gap on bike2 and matches Friend1 speed alongside him. At 9.0s Friend3 similarly advances from behind on SCREEN-RIGHT on bike3 and draws parallel. The approaches are continuous, wheels turning against the road. By 10s all three ride abreast, about 1.5m between handlebars: Friend2 LEFT, Friend1 CENTER, Friend3 RIGHT. They sing together, exchange brief smiles and keep looking back to the road. Friend1 remains the visual anchor. Hard cut. 11.0-12.0s — Rider-view macro of bike1's round analog speedometer: legible km/h scale, needle pointing to the marked 80, slight engine vibration. Hard cut. 12.0-13.0s — Low side-mounted close-up of bike1's spinning front tyre: compressed contact patch, spokes blurred by rotation, asphalt streaming backward. Hard cut. 13.0-14.0s — Low side tracking angle on Friend1 boot, engine and fuel tank, suspension responding to the road. Hard cut. 14.0-15.0s — Wide frontal tracking view: the same left-center-right formation, three distinct friends singing, Friend1 centered, road receding behind them. Camera and grade: physical vehicle-mounted motion, restrained vibration, natural blur. Rich 1980s color-negative film: warm browns, vivid greens, sky blue, natural skin; soft overcast daylight from camera-left, gentle halation on chrome, fine grain, subtle gate weave and occasional faint scratches. Colorful photographed reality rather than sepia, glossy CGI or heavy VHS damage. Audio: cheerful original "la-la-la" male singing; each friend joins on arrival. Lip-sync follows the singing, continuing over inserts. Vintage engine notes, kick-start clack, wind and tyre hiss. No subtitles. Continuity: exactly three friends and three assigned bikes total; one rider per bike. Initial opening shows Abhishek alone. Hands retain steering control during riding. Distinct faces, unchanged clothing and bike geometry. Count of modern vehicles, digital dashboards, phones, overlays and watermarks: zero.”
Now hit generate button and wait 2 min
Boom you will get amazing 80’s style video | 11 564 |
| 19 | Photo Prompt ——
Use my uploaded face photo as the identity reference and the provided reference image as the exact visual/composition reference. Create an ultra-realistic 1980s vintage portrait of me. Keep my facial identity 100% consistent with my uploaded face photo — preserve my natural face shape, skin tone, eyes, eyebrows, nose, lips, jawline, beard/facial hair, and natural facial proportions. Do not beautify, reshape, slim, age, or alter my face. Recreate the reference image as closely as possible: I am seated in a relaxed vintage chair, leaning slightly back, with my legs crossed exactly like the reference. One elbow rests naturally on the chair arm while my hand is raised under my chin, with fingers relaxed. Keep the same head angle, body posture, hand placement, leg position, camera angle, close-to-medium full-body framing, and overall composition. Clothing must closely match the reference: a colorful retro 1980s windbreaker jacket in teal/blue, purple, and magenta color-block panels, worn open over a plain cream/off-white knitted sweater. Add a thin silver chain necklace, light-wash heavily stone-washed/faded high-waisted jeans, white crew socks, and clean white retro sneakers. Include the same vintage digital wristwatch. Keep the relaxed oversized 80s fashion silhouette. Give me an authentic 1980s men's hairstyle — thick, dense, voluminous dark hair with natural waves/curls, rounded fluffy volume on top, slightly longer sides and back, neatly styled with a subtle healthy shine. No modern fade, undercut, buzz cut, or contemporary hairstyle. Recreate the retro interior/background: a dark vintage lounge chair, indoor tropical plant on the left, and a nostalgic 1980s colorful diagonal neon/light-striped backdrop in blue, pink, and purple tones. Include a vintage Sony-style cassette/boombox beside the chair. Maintain the same placement and depth of the background elements. Make the image look like a genuine photograph taken in the 1980s, not a modern photograph with a vintage filter. Use warm analog film tones, slightly faded colors, soft contrast, gentle highlights, subtle 35mm film grain, realistic skin pores and texture, mild lens softness, natural shadows, slight color imperfections, dust, scratches, faded corners, and an authentic worn vintage photo border. Important: My uploaded face photo controls ONLY my facial identity. The reference image controls the pose, clothing, hairstyle, body positioning, background, props, composition, camera perspective, lighting, and overall 1980s aesthetic. Do not copy the reference person's facial identity. Ultra-realistic, photorealistic, authentic 1980s fashion photography, natural anatomy, realistic hands, realistic fabric textures, cinematic vintage lighting, detailed but not digitally oversharpened, vertical 9:16 portrait.”
Now hit generate button
You will get a 80’s style photo | 10 163 |
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