@soymanuelq: Olvide iluminar arriba 💀 #Minecraft #videos #minecraftmemes #humor #fyp #minecrafthacks #minecraftmods

Soy Manuel
Soy Manuel
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Saturday 07 June 2025 20:40:30 GMT
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yoneilber_0809
✧★𝒚𝒐𝒏𝒆𝒊𝒃𝒆𝒓★✧ :
de seguro es un amigo que se puso así como Herobrine porque el nombre que salia
2025-07-20 16:29:30
151
elcaballojuan0
Juan :
Y cookie????
2025-08-24 04:34:14
2
celineybonita
fersita :
Ashley
2025-08-02 19:04:57
0
mejias2223
dane :
eso Herobrine es falso
2025-08-18 16:58:25
2
jesus20147
cuenta no encontrada :
primero
2025-06-07 20:44:44
4
f12ewl
ismael122 :
le gana a Carlos de la Cruz
2025-06-08 04:37:00
26
.sasiga.._
González 🤍🎱 :
2025-08-11 18:54:55
3
alexandrae020
Alexa Alejandra :
🥰🥰🥰🥰 un🥰🥰
2026-02-25 04:36:03
0
chivas_640
🎭🎭🎭 San :
cómo se llama el juego
2025-06-07 21:11:03
1
mellolapara02
el mello 02 :
no quiero ofenderte bro pero esa casa nesesita arreglos
2025-08-15 19:00:19
2
charlotte59973
Charlotte :
El Inventario
2026-02-17 18:25:39
1
poli.addix
Poli Addix :
2025-08-14 18:35:45
0
mjsxiop
⋆. 𐙚°𝓜𝓲𝓬𝓱𝓪𝓮𝓵 🧸 :
contextoo
2025-07-29 18:48:26
0
santiago.casillas55
Santiago Casillas :
Holi Bro cooki el hace mejores cosas
2025-08-08 04:26:25
0
anxg777
anxg777 :
es vídeo planeado
2025-06-07 21:28:24
2
enedyna.de.leon
Enedyna De Leon :
😂😂😂
2026-06-28 13:47:34
0
fernando.aray3
Fernando aray 👺😎🤡 :
😎
2025-12-12 04:05:37
0
sonia.pablo92
Sonia Pablo :
😁
2025-12-12 02:24:11
0
evaristolemus25
evaristolemus25 :
🥰
2026-05-15 14:17:50
0
chanscreaciones
Diana Lizbeth 🍀 :
😩
2025-12-12 15:30:16
0
macias3127
. :
🥰
2026-03-12 18:02:22
0
sonia.pablo92
Sonia Pablo :
😂
2025-12-12 02:24:13
0
luzmery1231
rosmery :
😂
2026-06-03 20:56:41
0
pedro.rabarique
Pedro Rabarique :
😳😳😳
2025-08-28 19:33:14
0
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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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