@shidou.vs: Gojo may be the best low cortisol jujutsu sorcerer 🤞✅ || SONG - ai dua em ve (cukak remix) || Jujutsu Kaisen || Gojo edit || #gojo #gojosatoru #jujutsukaisen #jjk #animeedit

shidou💫

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Region: US

Saturday 14 February 2026 22:09:35 GMT

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Comments

totallynoturi-WX🌪🌩 :

That’s me by the way

2026-02-20 19:42:01

69

『ARF_EDIZ』 :

Just low cortisol:

2026-03-04 12:36:17

2

—|—𝓡𝓮𝓭 𝓢𝓬𝓸𝓻𝓷— :

Finish that Subaru edit alr🫩

2026-02-14 22:14:50

31

justaguywithfaith :

Cortisol lowered as I watched this ❤️‍🩹

2026-02-14 22:47:30

8

ᴅᴀᴠ݁ᛪ༙ᴇɴᴀ :

utahime slander

2026-03-14 03:06:21

3

Kage👾 :

2026-02-14 22:20:32

32

TEJA :

2026-03-09 06:14:06

1

ken :

2026-02-15 10:53:23

3

nguyenphong5488 :

2026-02-27 02:47:10

1

ข้าวผัดไข่_art :

2026-02-27 06:45:05

1

jordanqa143 :

2026-02-15 02:22:07

5

sansjusthere :

2026-02-15 01:38:57

2

𝐁𝐨𝐲𝐳𝐳 ❤🔥 :

2026-02-19 00:18:40

5

DWS🫠 :

2026-02-14 22:12:24

6

xestro :

fire

2026-03-10 23:18:18

1

乙ㄚ尺卂🐍 :

2026-03-03 09:55:28

3

6misskii :

peakkkk

2026-02-14 23:21:34

3

joseph joestar :

2026-03-04 22:56:31

1

KIRA :

название песни

2026-02-23 11:31:14

1

kiyoshi 🇰🇭 :

2026-02-16 20:05:56

2

BrandsYotwarit24 :

2026-02-17 12:43:17

1

𝗱𝗲𝗯𝗶𝘀 🎰 :

peak 🙏

2026-02-14 22:20:04

1

Mbana Golire :

2026-03-03 04:45:31

1

To see more videos from user @shidou.vs, please go to the Tikwm homepage.

Other Videos

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chân ái của chị nao tóc khô xơ dễ gãy sài vai lần tóc trơ nên suông mượt hẳn ra#daugoithaoduoc #daugoinguyenxuan #daugoi #xuhuong

chân ái của chị nao tóc khô xơ dễ gãy sài vai lần tóc trơ nên suông mượt hẳn ra#daugoithaoduoc #daugoinguyenxuan #daugoi #xuhuong

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

Kadang, cinta memang sesederhana itu... hadir tanpa banyak kata, tapi terasa begitu dalam. Menguatkan, bahkan tanpa diminta.

Kadang, cinta memang sesederhana itu... hadir tanpa banyak kata, tapi terasa begitu dalam. Menguatkan, bahkan tanpa diminta.

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