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All Editor
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Mostrar más📈 Análisis del canal de Telegram All Editor
El canal All Editor (@all_editor) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 16 968 suscriptores, ocupando la posición 1 973 en la categoría Arte y diseño y el puesto 25 883 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 16 968 suscriptores.
Según los últimos datos del 12 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 873, y en las últimas 24 horas de 10, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 20.50%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 4.93% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 3 480 visualizaciones. En el primer día suele acumular 836 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
- Intereses temáticos: El contenido se centra en temas clave como bike, frame, reference, background, dawnlod.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Follow me on instagram 👇❤️
https://www.instagram.com/all_editor_67/
Subscribe my youtube channel 🔔❤️
https://youtube.”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 13 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Arte y diseño.
16 968
Suscriptores
+1024 horas
+487 días
+87330 días
Carga de datos en curso...
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junio '26
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+123
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mayo '26
+1 613
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abril '26
+243
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marzo '26
+353
en 1 canales
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febrero '26
+2 236
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enero '26
+757
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diciembre '25
+2 171
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noviembre '25
+1 245
en 1 canales
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octubre '25
+99
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septiembre '25
+134
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agosto '25
+176
en 0 canales
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julio '25
+212
en 0 canales
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junio '25
+268
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mayo '25
+418
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abril '25
+258
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marzo '25
+442
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febrero '25
+633
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enero '25
+803
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diciembre '24
+759
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noviembre '24
+257
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octubre '24
+131
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septiembre '24
+6 167
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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 13 junio | 0 | |||
| 12 junio | +10 | |||
| 11 junio | +7 | |||
| 10 junio | +10 | |||
| 09 junio | +6 | |||
| 08 junio | +4 | |||
| 07 junio | +13 | |||
| 06 junio | +6 | |||
| 05 junio | +14 | |||
| 04 junio | +22 | |||
| 03 junio | +7 | |||
| 02 junio | +13 | |||
| 01 junio | +11 |
Publicaciones del Canal
| 2 | 👇❤️ | 2 416 |
| 3 | Guys new youtube video check out 👇❤️
https://youtu.be/HhM0IeSZcVM?si=Rp2H-otx0VnMoFWo | 2 414 |
| 4 |  +7Sin texto... | 2 540 |
| 5 | Analyze both uploaded images automatically:
IMAGE 1 = source selfie/photo
IMAGE 2 = destination empty mirror
Replace the reflection inside the destination mirror with the person from IMAGE 1.
STRICT IDENTITY PRESERVATION:
- Preserve the person's face 100% exactly as in the source image.
- Do not change facial structure, eyes, nose, lips, jawline, skin texture, hairstyle, age, body shape, expression, ethnicity, or identity.
- No beautification, face enhancement, AI face recreation, face swapping, or facial modifications.
- Maintain exact real-person likeness.
SMART MIRROR INTEGRATION:
- Detect the shape, size, angle, curvature, perspective, and position of the destination mirror automatically.
- Place the person naturally inside the mirror reflection as if they were originally standing in front of that mirror.
- If required, intelligently adjust body angle, camera perspective, crop, framing, distance, or pose alignment ONLY to fit the mirror realistically.
- Never distort the face or body.
ADAPTIVE COMPOSITION:
- Works with any selfie, portrait, mirror selfie, standing pose, sitting pose, indoor photo, outdoor photo, or full-body image.
- Works with any mirror shape (arched, round, oval, irregular, designer, wall-mounted, floor mirror, luxury mirror, etc.).
- Automatically scale and reposition the subject to fit the mirror naturally.
LIGHTING MATCH:
- Match the reflection lighting to the destination environment.
- Adapt brightness, shadows, highlights, contrast, reflections, color temperature, ambient light, and exposure according to the mirror scene.
- Blend the subject seamlessly into the destination environment while preserving realism.
REALISTIC REFLECTION PHYSICS:
- Create authentic mirror reflection behavior.
- Preserve natural depth, perspective, mirror distortion, edge reflections, and realistic optical characteristics.
- Reflection should look physically accurate and naturally captured by a real camera.
QUALITY ENHANCEMENT:
- Upgrade source image quality to ultra-clean 4K.
- Remove blur, compression artifacts, noise, low-resolution softness, and pixelation.
- Maintain realistic skin texture and clothing details.
- Produce DSLR-quality realism with professional photography standards.
FINAL OUTPUT:
A photorealistic 4K ultra-HD image where the person from IMAGE 1 appears naturally reflected inside the mirror from IMAGE 2, with perfect identity preservation, realistic perspective, environment-matched lighting, seamless blending, and absolutely no AI-generated face changes. | 2 360 |
| 6 | Prompt and mirror background 👇❤️ | 2 137 |
| 7 | Guys new youtube video check out 👇❤️
https://youtu.be/C_TOr1NaheU?si=uMleNM66mLhDi8PP | 2 302 |
| 8 | Stock Download 👇 | 3 080 |
| 9 | Guys new youtube video check out 👇❤️
https://youtu.be/J5zxjfcL8g4?si=fAAthwcStLF4C1KQ | 3 147 |
| 10 | a full-body realistic wide-angle photograph o, 4/4 a stylish young man standing and leaning against a wall with his eyes closed and arms crossed and leg-crossed in a peaceful pose. behind him is a massive, vibrant mural of lord shiva face with looking at him. the man is wearing a loose oversized white bottom-down aesthetic shirt, sleeve rolled, light blue wide-leg jeans with ripped knees with barefoot.he has voluminous, messy dark wavy hair with a clean taper fade on the sides and is wearing
(Keep My face same 100% as in the reference image and image quality 4K hona chahie.
Ratio 4:5)
老 | 3 575 |
| 11 | Prompts 👇 | 3 428 |
| 12 | Guys new youtube video check out 👇❤️
https://youtu.be/m5LrelpnQ7c?si=uuh2-F1jJds1XVNY | 3 449 |
| 13 | Use my uploaded photo as the main subject and automatically transform the existing clothes into an EXTREME oversized “jhula dhala / baggy fashion” outfit while keeping the same clothing style and color theme from the original image.
The AI must NOT require any separate outfit reference image.
Only use the clothes already visible in the uploaded photo and convert them into a MASSIVELY OVERSIZED version.
Transformation rules:
make the shirt / hoodie / t-shirt 4X–6X bigger than the body
make sleeves extremely wide, puffy, and hanging far below the hands
make pants ultra wide, extra thick, balloon-style, and heavily oversized
add huge fabric volume and dramatic loose folds
outfit should look very FAT, BULKY, and DROOPY
pants should become extremely baggy and stacked near the feet
clothes must look heavy, soft, hanging, and naturally folded
preserve original clothing colors and fashion vibe
preserve the person’s real face, hairstyle, pose, body angle, and background
realistic cloth physics and shadows
oversized proportions should dominate the entire image
trendy TikTok oversized fashion aesthetic
cinematic DSLR portrait look
shallow depth of field
ultra realistic high-detail fabric texture
IMPORTANT:
The clothes must become MUCH WIDER and THICKER, not just longer.
Focus on massive width, volume, puffiness, and exaggerated loose shape.
The outfit should look absurdly oversized but still realistic.
Do NOT create normal baggy clothes.
The final look must feel giant, chunky, hanging, and extra bulky. | 3 810 |
| 14 | Prompt👇 | 3 134 |
| 15 | Guys new youtube video check out 👇❤️
https://youtu.be/8pqCBuaYBwc?si=Dep2lKADHLoP9qUy | 3 150 |
| 16 | POV realistic iPhone photo, vertical 9:16, no filter/HDR, raw natural quality with slight grain and lighting imperfections.
Nighttime outside a local Indomaret minimarket. Outdoor seating beside large glass windows with visible "sip?" branding and snack/drink shelves inside. Bright fluorescent canopy lights from above creating slightly harsh shadows and overexposed highlights.
Dark street on the left side with parked motorbikes and distant streetlights.
Clean tiled minimarket floor.
A girl in a red traditional outfit sitting on the left side of a small round metal table, crying and hiding her face with both hands. Lord Shiva sitting in the center/front, leaning forward with an intense concerned expression, looking directly at the girl. Lord Vishnu on the right side calmly talking with slight hand gestures, trying to explain something logically. Lord Krishna beside himwith a soft calm expression, trying to comfort the girl. Lord Ganesh standing behind the group with crossed arms, serio | 3 374 |
| 17 | Prompt👇 | 3 165 |
| 18 | Guys new youtube video check out 👇❤️
https://youtu.be/pwpi6eDo-00?si=azKLpSa37vBGlE7_ | 3 244 |
| 19 | "Create a soft dreamy cinematic outdoor village portrait collage in the exact same paddy field environment from the original photo. Keep the same green fields, trees, natural village atmosphere, and countryside vibe — only enhance it with warm golden sunlight, creamy bokeh, soft haze, shallow depth of field, cinematic color grading, and realistic DSLR look. Keep the subject completely unchanged: same face, hairstyle, skin tone, pose, body, blue oversized shirt, outfit color, and accessories. Do not alter the character or clothing. Create a vertical 3-frame collage with smooth white fog transitions, natural candid poses, ultra realistic skin texture, soft lighting, authentic shadows, and premium Instagram cinematic aesthetic." | 3 703 |
| 20 | Prompt👇 | 3 485 |
