@duongtaytay09: Việt nam vô địch @DƯƠNG TÂY WEUSIM 🇻🇳🇰🇷 @WEUSIM và đồng bọn🤪 #vattayvietnam🇻🇳💪 #vattaythegioi #duongtayvattay #armwrestling #vattaytaihanquoc

DƯƠNG TÂY 🇻🇳
DƯƠNG TÂY 🇻🇳
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Region: KR
Saturday 20 June 2026 09:02:41 GMT
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drmundo14cen
đọc làm chó :
giải mà đi test lực lạy bố
2026-06-20 09:19:08
29
phomaybachs680
Phúc×Kazakhstan🇰🇿🇻🇳 :
cay ko bắt tay với anh Đức à
2026-06-20 09:32:39
11
mintan.watch
Mintan.watch :
Đối thủ: 🥵🥵🥵 Dương Đức: 😁😁😁
2026-06-20 09:22:49
7
letrannguyen123
Lê Trần Nguyên :
round 1 với 2 chưa đạp thành là biết test lực rồi
2026-06-20 09:14:49
11
minhh_oppa
Minh Oppa 📸 :
Đối thủ ko bắt tay a đức
2026-06-20 09:21:20
5
fanoptimus...0
zuzubin :
anh Đức để nắm mất đỉnh kìa
2026-06-20 09:30:30
3
tranminh6340
helo :
Đã đời. sướng cả người
2026-06-20 09:18:58
5
biubiu200_
Quốc Nguyễn 2005 :
vcl anh tôi 😂😂😂😂
2026-06-20 09:15:08
4
nguyenmi1205
Nguyên nuôi heo :
Dương tây tiên tri đúng thế 😂😂😂
2026-06-20 09:04:55
0
vn.trut8
Hellowe :
3-0
2026-06-20 09:10:26
3
lcdtruong2907
lcdt :
Sợ thua cả huân :)
2026-06-20 09:28:36
0
khang.cvk
Chế Văn Khang🐒 :
Sao mà đỡ được
2026-06-20 09:07:26
2
kien95p1
Kiên Nguyễn :
đã....
2026-06-20 09:04:56
2
khanhdau2k8
✈️ được thì đổi tên: :
Tiếp anh
2026-06-20 09:04:15
2
miguelbrada
Miguel :
round đầu test lực thoaiii
2026-06-20 09:13:23
1
cocailon_181
Hùng Dũng 👀 :
máy tập
2026-06-20 09:05:16
1
.0339.528.529
Lê Quốc Hậu :
Dương tây tập lại đi đánh chung team VN,thì hết nước chấm.
2026-06-20 10:12:10
0
020920ndt
2th9🐉 :
2026-06-20 10:00:59
0
hungxetaihowo
Hưng xe tải :
Pha này thua pha nắm tay nhưng out lực rồi 😂 khó cho địch
2026-06-20 10:34:45
0
t040050
T :
Trận này hay quá
2026-06-20 09:18:33
0
acc.clon.1234
Sống Lowkey ㉞ :
anh tôi nhây thật test Lực trận đầu luôn chứ 🙏😂
2026-06-20 09:24:33
0
dangcongsan_14
Q. :
a đức vẫn vậy để nó nắm hết đỉnh luôn mấy trận sau k để bị nắm dễ hẳn
2026-06-20 09:39:02
0
tmson123
Sơn :
Cả 2 thắng trắng rồi chờ mỗi Vinh thôi
2026-06-20 09:23:30
0
dovanson1909
sơn calisthenics :
hay quá anh Đức
2026-06-20 10:51:03
0
nguyenvn7028
Van :
không bắt tay ,cuối a Đức múa cổ luôn :))
2026-06-20 09:14:01
5
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برومبت لتحويل الصورة  القديمة الى صور 4k مع الحفاظ على جميع التفاصيل مجانا 🔥✅️ ترميم الصور القديمة البرومبت المستخدم :👇 INPUT_IMAGE: use the provided image as the only source; do not replace or alter composition, objects, or facial identity. TASK: restore, repair, colorize if needed, denoise, and upscale the image to 3840x2160 (4K) while preserving every original element, pose, expression, and color identity. The model must repair cracks, scratches, and compression damage; reconstruct missing micro-details plausibly; enhance perceptual detail and texture; and output a natural, realistic result without adding new objects or changing identity. ANALYSIS PHASE: - Detect image condition: identify cracks, scratches, tears, heavy noise, compression blocks, blur, and whether image is grayscale or color. - Determine appropriate restoration pipeline steps and confidence levels for each region. RESTORATION PHASE: - Repair physical damage: inpaint cracks and scratches using context-aware reconstruction that matches surrounding texture and grain. - Denoise and remove JPEG/blocking artifacts while preserving original grain and texture characteristics. - Reconstruct lost micro-details (skin pores, hair strands, fabric weave, surface reflections) using detail-aware synthesis constrained by surrounding pixels. - If image is grayscale/black-and-white: perform **context-aware colorization** that infers natural skin tones, fabric colors, and environmental colors; preserve plausible historical/scene accuracy and avoid invented logos or text colors. - If image is already color: **do not change original color values** except to remove color noise; preserve hue and overall color identity. - Local contrast and clarity: selectively increase midtone contrast and local clarity on subject and important details without clipping highlights or crushing shadows. - Edge and texture sharpening: apply perceptual, artifact-aware sharpening to fine edges; avoid halos and plastic look. - Global consistency: maintain original lighting direction and highlight/shadow relationships; do not relight the scene. UPSCALE PHASE: - Detail-aware upscaling to 3840x2160 (4K) with artifact-free reconstruction; synthesize plausible high-frequency detail only where supported by context. - Preserve facial feature fidelity and proportions; avoid smoothing or altering identity. - Maintain original composition and do not add or remove objects, text, logos, or background elements. OUTPUT REQUIREMENTS: - Output: high-quality 4K image (3840x2160) in PNG or high-quality JPEG. - Provide optional: a short changelog listing applied local operations (areas inpainted %, colorized yes/no, denoise strength, upscaling method). - If colorization performed: include a brief color rationale file describing choices for skin, clothing, and background. NEGATIVE INSTRUCTIONS: - Do not change pose, expression, facial features, or proportions. - Do not add, remove, or replace objects, logos, or background elements. - Do not invent or paste recognizable elements (faces, text, objects) not present in the source. - Do not apply stylized painting, cartoon, or illustrative effects. - Do not oversaturate, shift hue globally, or apply aggressive color grading. - Do not produce visible sharpening halos or plastic skin. RECOMMENDED PARAMETERS: - Resolution: 3840x2160 - Denoise strength: 0.20–0.45 (adjust per-image) - Inpaint/repair aggressiveness: adaptive; start low and increase only where cracks exist - Upscale method: detail-aware reconstruction / context-preserving - Sharpening: moderate, artifact-aware - Steps: 25–45 - Guidance/CFG scale: 6–12 - Face restoration: enabled only if it preserves identity - Output format: PNG 24-bit or high-quality JPEG #smfhawk  #ai #ذكاء_اصطناعي #ترقية_الصور #مواقع
برومبت لتحويل الصورة القديمة الى صور 4k مع الحفاظ على جميع التفاصيل مجانا 🔥✅️ ترميم الصور القديمة البرومبت المستخدم :👇 INPUT_IMAGE: use the provided image as the only source; do not replace or alter composition, objects, or facial identity. TASK: restore, repair, colorize if needed, denoise, and upscale the image to 3840x2160 (4K) while preserving every original element, pose, expression, and color identity. The model must repair cracks, scratches, and compression damage; reconstruct missing micro-details plausibly; enhance perceptual detail and texture; and output a natural, realistic result without adding new objects or changing identity. ANALYSIS PHASE: - Detect image condition: identify cracks, scratches, tears, heavy noise, compression blocks, blur, and whether image is grayscale or color. - Determine appropriate restoration pipeline steps and confidence levels for each region. RESTORATION PHASE: - Repair physical damage: inpaint cracks and scratches using context-aware reconstruction that matches surrounding texture and grain. - Denoise and remove JPEG/blocking artifacts while preserving original grain and texture characteristics. - Reconstruct lost micro-details (skin pores, hair strands, fabric weave, surface reflections) using detail-aware synthesis constrained by surrounding pixels. - If image is grayscale/black-and-white: perform **context-aware colorization** that infers natural skin tones, fabric colors, and environmental colors; preserve plausible historical/scene accuracy and avoid invented logos or text colors. - If image is already color: **do not change original color values** except to remove color noise; preserve hue and overall color identity. - Local contrast and clarity: selectively increase midtone contrast and local clarity on subject and important details without clipping highlights or crushing shadows. - Edge and texture sharpening: apply perceptual, artifact-aware sharpening to fine edges; avoid halos and plastic look. - Global consistency: maintain original lighting direction and highlight/shadow relationships; do not relight the scene. UPSCALE PHASE: - Detail-aware upscaling to 3840x2160 (4K) with artifact-free reconstruction; synthesize plausible high-frequency detail only where supported by context. - Preserve facial feature fidelity and proportions; avoid smoothing or altering identity. - Maintain original composition and do not add or remove objects, text, logos, or background elements. OUTPUT REQUIREMENTS: - Output: high-quality 4K image (3840x2160) in PNG or high-quality JPEG. - Provide optional: a short changelog listing applied local operations (areas inpainted %, colorized yes/no, denoise strength, upscaling method). - If colorization performed: include a brief color rationale file describing choices for skin, clothing, and background. NEGATIVE INSTRUCTIONS: - Do not change pose, expression, facial features, or proportions. - Do not add, remove, or replace objects, logos, or background elements. - Do not invent or paste recognizable elements (faces, text, objects) not present in the source. - Do not apply stylized painting, cartoon, or illustrative effects. - Do not oversaturate, shift hue globally, or apply aggressive color grading. - Do not produce visible sharpening halos or plastic skin. RECOMMENDED PARAMETERS: - Resolution: 3840x2160 - Denoise strength: 0.20–0.45 (adjust per-image) - Inpaint/repair aggressiveness: adaptive; start low and increase only where cracks exist - Upscale method: detail-aware reconstruction / context-preserving - Sharpening: moderate, artifact-aware - Steps: 25–45 - Guidance/CFG scale: 6–12 - Face restoration: enabled only if it preserves identity - Output format: PNG 24-bit or high-quality JPEG #smfhawk #ai #ذكاء_اصطناعي #ترقية_الصور #مواقع

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