en
Feedback

Don't get caught by a cheater! Telemetrio finds and tags such channels πŸ‘‰ If you want to see the tag, subscribe

Technical Boy Ajay

Technical Boy Ajay

Open in Telegram

Video Editing Tutorial

Show more

πŸ“ˆ Analytical overview of Telegram channel Technical Boy Ajay

Channel Technical Boy Ajay (@technicalboyajay0) in the English language segment is an active participant. Currently, the community unites 28 163 subscribers, ranking 1 016 in the Art & Design category and 14 044 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 28 163 subscribers.

According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -840 over the last 30 days and by -36 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.25%. Within the first 24 hours after publication, content typically collects 1.70% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 326 views. Within the first day, a publication typically gains 478 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as background, frame, scene, reference, expression.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œVideo Editing Tutorial”

Thanks to the high frequency of updates (latest data received on 01 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Art & Design category.

28 163
Subscribers
-3624 hours
-1727 days
-84030 days
Posts Archive
Prompt β€”- Create an ultra-realistic cinematic nighttime portrait using my uploaded photo as the ONLY identity reference. IDENTITY: Preserve my exact real face, facial features, hairstyle, hair texture, skin tone and body proportions. My face must remain 100% identical to my uploaded photo. Do not change my identity or hairstyle. OUTFIT: Keep my original outfit style and clothing appearance from my uploaded photo. Add a beautiful elegant traditional dupatta naturally draped around my neck, hanging down on both sides of my chest. BACKGROUND: Create a beautiful traditional Indian palace-style building at night, decorated with luxurious warm golden fairy lights. The building should have elegant traditional architecture and illuminated balconies. On my right side, create a huge bright white fountain firework (Jharbatti Anar) bursting upwards, producing thousands of sparkling white and golden particles. Beautiful glowing sparks should spread through the dark night sky with realistic smoke. POSE: I am standing naturally in a relaxed side-profile pose, looking towards the fireworks. My body is slightly turned towards the fireworks, with one arm hanging naturally beside my body. LIGHTING: Keep the entire photograph dark, mysterious and cinematic. My face and body should remain mostly in natural shadows, with subtle golden rim lighting from the building and soft white firework light illuminating the edges of my face, hair and shoulders. PHOTOGRAPHY: Professional DSLR night photography, cinematic low-light exposure, realistic shadows, natural skin texture, dramatic contrast, warm golden and cool white color grading, ultra-realistic details. COMPOSITION: Vertical 9:16 portrait, full upper body visible, fireworks clearly visible beside me, luxurious Indian festive atmosphere. IMPORTANT: The final result must look like a real photograph captured during a Diwali celebration. Preserve my original face, hairstyle and identity. Do not make me look like another person. No cartoon effects, no artificial face, no excessive brightness.

Prompt 2 - Create an ultra-realistic 4K nighttime Diwali celebration photograph using the uploaded personal photo as the ONLY identity and appearance reference. IDENTITY AND OUTFIT: Preserve the exact person from the uploaded photo. Keep their original face, facial features, hairstyle, hair texture, skin tone, body proportions and natural appearance. Automatically retain the exact original clothing and accessories from the uploaded photo. Never impose a predefined outfit or clothing colour. FACIAL EXPRESSION: Keep the natural facial expression from the uploaded photo. Do not add a smile, artificial grin or exaggerated reaction. Maintain a realistic, natural expression. BACKGROUND: Create a beautiful nighttime Diwali celebration on a wide city road. Show tall modern glass skyscrapers with illuminated windows, distant building lights, elegant streetlights and a dark night sky. JHAWBATI POSITION AND DISTANCE β€” MOST IMPORTANT: Place one large traditional Diwali Jhawbati ground fountain on the LEFT side of the person. Study the composition reference carefully. The Jhawbati must be at a moderate, visually close distance from the person, just slightly behind and to the left. Do NOT place it extremely close to the camera, and do NOT place it far away in the distant background. The firework should appear beside the person with a natural visible gap, similar to the exact relative positioning in the reference photograph. The Jhawbati base must remain clearly visible on the road. Its golden-white fountain should rise approximately to the person’s upper-body or head height. FIREWORK AND SMOKE β€” CRITICAL: Create a powerful, beautiful fountain of bright golden-white sparks shooting upwards from the Jhawbati. Hundreds of glowing sparks should scatter naturally in different directions. IMPORTANT: Thick, dense white-grey smoke must be generated directly from the burning Jhawbati itself. The smoke must be clearly visible BETWEEN the rising sparks, surrounding the entire fountain and spreading upwards and towards the RIGHT side behind the person. Create a large, naturally illuminated cloud of smoke behind and around the firework, similar to a real Diwali Jhawbati burning at night. The smoke must NOT be missing, transparent, extremely thin or placed separately in the distant background. The golden sparks should shine beautifully through the thick white-grey smoke, creating a realistic combination of fire, sparks and smoke. PERSON AND COMPOSITION: Place the person on the RIGHT side of the vertical frame, naturally standing on the road. The person should be looking towards the burning Jhawbati on the LEFT, with a natural posture. One hand may be gently extended towards the firework, while the other hangs naturally. CAMERA: Vertical 9:16 full-body portrait. Natural eye-level mobile photography perspective. Show the complete person from head to shoes. Keep the person on the right and the Jhawbati on the left. Maintain the same moderate distance and relative size of the person and firework as the composition reference. LIGHTING: Bright golden-white sparks should illuminate the road and naturally reflect on the person’s face and original clothing. Realistic nighttime exposure, natural shadows, detailed smoke particles, glowing embers and authentic iPhone night photography. STRICT NEGATIVE INSTRUCTIONS: No extreme foreground firework. No tiny distant firework. No excessive distance between person and Jhawbati. No missing smoke. No smoke separated from the firework. No artificial facial smile. No changed identity. No changed outfit. No cropped feet. No cartoon, painting or CGI appearance. FINAL OUTPUT: A photorealistic Diwali night photograph matching the reference composition, with a person on the RIGHT and a spectacular golden-white Jhawbati burning at a moderate distance on the LEFT, surrounded by thick, beautiful, naturally illuminated white-grey smoke.

PROMPT:-Convert the statue standing in this photo into a dance video.

Tesala Car Ai Video Prompts:- Create a hyper-realistic cinematic video based on the provided reference video. Maintain the same scene order, camera angles, subject positions, lighting, and realistic Indian street environment. MAIN SUBJECT: A futuristic white Tesla-style electric sports car with a sleek aerodynamic body, black panoramic glass roof, dark wheels, and realistic reflections. A young Indian man with short dark hair, a trimmed beard, black sunglasses, and a white shirt with red sleeves is driving the car. SCENE TIMELINE: 0–3s: Low-angle front three-quarter tracking shot of the white car driving on an Indian road. 3–6s: Side and rear tracking shots with consistent vehicle proportions and wheel rotation. 6–8s: Interior shot tracking the driver's face, head, shoulders, arms, wrists, torso, and hands on the steering wheel. 8–11s: Indian traffic with motorcycles and auto-rickshaws; front windshield view of the driver. 11–14s: Low rear shot of the car moving through traffic, then a brief reaction shot of an auto-rickshaw driver. 14–17s: Fictional blue-white anti-gravity thrusters activate under the car; it rises gradually with realistic light, dust, and shadows. 17–20s: Front and rear wide shots of the car hovering above Indian traffic. BODY MOTION TRACKING: Track face landmarks, head rotation, shoulders, elbows, wrists, torso, and hands frame by frame. Preserve anatomy and identity. Keep hands naturally aligned with the steering wheel. Use smooth temporal tracking, stable joints, occlusion handling, and natural interpolation. Prevent jitter, face drift, and limb deformation. OBJECT TRACKING: Track the car body, wheels, windows, headlights, and center. Maintain consistent shape, orientation, paint color, and scale. Attach thrusters to fixed positions beneath the car. CAMERA: Smooth vehicle-mounted tracking, low-angle follow shots, windshield shots, rear tracking, and wide cinematic shots. Natural perspective and motion blur. STYLE: Photorealistic 4K cinematic commercial, natural Indian daylight, detailed road textures, realistic reflections, HDR, volumetric thruster effects, consistent color grading, seamless transitions. OUTPUT: 16:9, 24–30 FPS, approximately 20 seconds, realistic body motion and stable object tracking.