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All Editor
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Follow me on instagram πβ€οΈ https://www.instagram.com/all_editor_67/ Subscribe my youtube channel πβ€οΈ https://youtube.
Show moreπ Analytical overview of Telegram channel All Editor
Channel All Editor (@all_editor) in the English language segment is an active participant. Currently, the community unites 16 941 subscribers, ranking 1 969 in the Art & Design category and 25 793 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 16 941 subscribers.
According to the latest data from 16 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 509 over the last 30 days and by -15 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 19.16%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 245 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- Thematic interests: Content is focused on key topics such as bike, frame, reference, background, dawnlod.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βFollow me on instagram πβ€οΈ
https://www.instagram.com/all_editor_67/
Subscribe my youtube channel πβ€οΈ
https://youtube.β
Thanks to the high frequency of updates (latest data received on 17 June, 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.
16 941
Subscribers
-1524 hours
-77 days
+50930 days
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Incoming and Outgoing Mentions
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Attracting Subscribers
June '26
June '26
+131
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+1 613
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April '26
+243
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March '26
+353
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January '26
+757
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December '25
+2 171
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November '25
+1 245
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October '25
+99
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+176
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+418
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+258
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December '24
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+257
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October '24
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September '24
+6 167
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| Date | Subscriber Growth | Mentions | Channels | |
| 17 June | +4 | |||
| 16 June | 0 | |||
| 15 June | +3 | |||
| 14 June | +1 | |||
| 13 June | 0 | |||
| 12 June | +10 | |||
| 11 June | +7 | |||
| 10 June | +10 | |||
| 09 June | +6 | |||
| 08 June | +4 | |||
| 07 June | +13 | |||
| 06 June | +6 | |||
| 05 June | +14 | |||
| 04 June | +22 | |||
| 03 June | +7 | |||
| 02 June | +13 | |||
| 01 June | +11 |
Channel Posts
| 2 | πβ€οΈ | 3 174 |
| 3 | Guys new youtube video check out πβ€οΈ
https://youtu.be/HhM0IeSZcVM?si=Rp2H-otx0VnMoFWo | 3 164 |
| 4 |  +7No text... | 3 185 |
| 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. | 2 931 |
| 6 | Prompt and mirror background πβ€οΈ | 2 652 |
| 7 | Guys new youtube video check out πβ€οΈ
https://youtu.be/C_TOr1NaheU?si=uMleNM66mLhDi8PP | 2 870 |
| 8 | Stock Download π | 3 475 |
| 9 | Guys new youtube video check out πβ€οΈ
https://youtu.be/J5zxjfcL8g4?si=fAAthwcStLF4C1KQ | 3 520 |
| 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)
θ | 3 898 |
| 11 | Prompts π | 3 755 |
| 12 | Guys new youtube video check out πβ€οΈ
https://youtu.be/m5LrelpnQ7c?si=uuh2-F1jJds1XVNY | 3 569 |
| 13 | Use my uploaded photo as the main subject and automatically transform the existing clothes into an EXTREME oversized βjhula dhala / baggy fashionβ 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 4Xβ6X 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 personβs 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 | Promptπ | 3 134 |
| 15 | Guys new youtube video check out πβ€οΈ
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 | Promptπ | 3 165 |
| 18 | Guys new youtube video check out πβ€οΈ
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 β 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 | Promptπ | 3 485 |
