Opino de que 💜🕺🇵🇸

Apocalipsis!

[𝐌 @Strength04_X]

Street Photography Walk 📸

🎥 : Kling 3.0 Turbo on Kling App

Prompt : Main Subject:
Young Korean woman, early 20s, vintage film camera around her neck, oversized cardigan, wide-leg jeans, curious observant expression.
Location : Quiet older Korean city street lined with small brick buildings, late afternoon. Cracked pavement, old signage, potted plants outside doors, soft autumn leaves scattered. No modern shops, no crowds.
Visual Style : Realistic exploratory documentary tone, curious and nostalgic, warm autumn lighting.
Camera Style : Late 1990s VHS camcorder, handheld wandering movement, autofocus hunting on textured walls, warm color cast, soft grain. No stabilization.
Timeline (15 sec, each slot = 2 compressed beats):
00:00–00:03 → She walks slowly, then stops to frame a shot with her film camera.
00:03–00:06 → She snaps a photo, then checks the camera's dial thoughtfully.
00:06–00:09 → She crouches to photograph fallen leaves, then smiles at the result.
00:09–00:12 → She turns to camera saying "이 골목 사진 찍기 딱 좋다" ("This alley is perfect for taking photos"), then continues walking.
00:12–00:15 → She glances back once, saying "다음에 또 오자" ("Let's come again next time"), then disappears around a corner.
Audio : Leaves crunching underfoot, distant wind, faint camera shutter click, quiet street ambience. Her dialogue as noted above. No music.
Goal : A curious, nostalgic photography stroll reflective, warm, genuine.

[Eyisha Zyer @eyishazyer]

To 4k Image Upscaler prompt

The prompt is also work for restoration of missing details and most important the colour bits with lighting.

PROMPT:
Restore and enhance an old damaged photo. Remove scratches, stains, and noise. Reconstruct faded or torn areas while preserving original details. Slightly sharpen the image for better clarity, but keep it realistic. Apply natural and era-appropriate colors to skin, hair, and clothing. Use a soft, balanced background color without being too striking. The final result should look like an old photo that has been realistically restored and colorized, while respecting its original appearance.

[Johnn @john_my07]

Seedance 2.0 on OpenArt AI

Prompt:
Main subject: young Korean woman, early 20s, natural everyday appearance, faded charcoal-grey sleeveless crop top, loose high-waisted light-wash jeans, black canvas sneakers, black cord necklace, black wavy hair in a messy side ponytail with wispy bangs. Realistic skin texture, minimal makeup, warm and approachable personality. Maintain consistent identity, clothing, hairstyle, and appearance throughout the entire video.
Location: Authentic Korean residential neighborhood during a calm late morning. Narrow concrete alleys, low-rise homes, small terraces, potted plants, laundry lines, bicycles, utility poles, overhead wires, mature trees casting moving shadows, quiet residential atmosphere. No stores, advertisements, cafés, crowds, or commercial activity.
Visual Style: Ultra-realistic documentary realism. Genuine candid behavior. Natural body language. Unscripted slice-of-life feeling. Strong environmental authenticity. Rich real-world details and believable human motion.
Camera Style: Early-2000s consumer DV camcorder aesthetic. Friend casually recording everyday moments. Heavy handheld shake, imperfect framing, frequent autofocus hunting, lens breathing, exposure pumping when moving between sun and shade, occasional motion blur, subtle rolling shutter, mild digital compression artifacts, faded colors, soft contrast, slight sensor noise. No stabilization. No cinematic camera moves. No modern color grading.
00:00–00:02
Outside a small house entrance. She sits on a low concrete wall adjusting her ponytail with both hands raised. A light breeze moves loose strands of hair. She smiles naturally while the camera struggles to hold focus.
00:02–00:04
The camera follows her into a narrow alley lined with potted plants and concrete walls. She notices a stray cat approaching and crouches down. Framing drifts off-center as the operator tries to keep up.
00:04–00:06
She gently pets and feeds the cat. Autofocus repeatedly shifts between her face and the animal. Morning sunlight flickers through leaves overhead.
00:06–00:08
Small front yard beside her house. She hangs laundry on a clothesline while fabrics sway in the breeze. Exposure changes as clouds briefly pass overhead.
00:08–00:10
On a quiet terrace with a ceramic coffee cup. She sits comfortably watching the neighborhood, occasionally brushing hair behind her ear. Loose handheld side angle with natural camera drift.
00:10–00:12
Close side profile. Someone off-camera greets her. She turns, raises her hand, smiles warmly, and casually says, “Annyeong.” The camera catches the moment slightly late.
00:12–00:15
Walking slowly down a tree-lined residential lane holding her coffee cup. She notices the camera, gives a small genuine smile, then looks away and continues walking. Recording cuts abruptly to black mid-motion as if the camcorder was switched off.

Audio: Natural ambient sound only — morning birds, distant motorcycles, light wind, leaves rustling, faint neighborhood chatter, cat sounds, footsteps on concrete, fabric moving on clotheslines, subtle residential ambience. No music. No sound design. No narration.

Goal: Authentic Korean neighborhood life captured like a forgotten home video from the early 2000s — candid, imperfect, realistic, warm, and deeply believable.

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@begonagerpe Begoña, eres muy inteligente para hacerte la tonta. Sabes perfectamente porquè viene lo que dice Ione.

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@AGarci1973 @begonagerpe Pero quien impone?

[Josh Daws @JoshDaws]

Okay. This is incredible.

[Max Prokopp @maxprokopp]

iPhone camera control for Seedance 2.0

the app for 3D camera and AI motion transfer is now in test flight, link below.

You stage the scene and can walk around it and capture real camera movement in 3D space, then Seedance brings the scene to life.

Handheld camera motion and realistic shake is hard to describe or prompt to Al. The iphone's ARKit is super precise with motion tracking and you can record complex scenes as a one man studio.

The characters can move and I am working on motion capture.

Here is the Al filmmaking workflow:

1. Set the scene in 3D space

2. Record camera motion

3. Generate a starting image

4. Feed image and video to Seedance

This was a quick build with claude code but now it is in test flight. Happy if it helps others.

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@alcoholico2 @EvadeIncognito Odiamoa lo que huele a la España rancia, clasista y racista, que quiere Vox Y PP. Y pkr cierto, me tocan mis huevos españoles que los putos fachas de mierda se crean que España es suya. Me avergonzais.

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@EvadeIncognito Evita, centrate, que no estan las cosas para decir tanta chorrada.

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@xiii13772006 @infovlogger36 Pues a los sunnormales racistas de Vox el color de la piel les molesta bastante.

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@infovlogger36 Eso es mira ese niño negro, de esos que no le gustan a Vox. Esos que Vox no considera españoles...mira, mira como grita por España!

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@Analucasq @Anonymous_TA Yo entiendo que gran parte de planeta en la Alemania nazi no supiera lo que se estaba cometiendo contra el pueblo judio, pero que en 2026 haya gente que no sepa el genocidio que está cometiendo Israel en Palestina es acojonante. Amiga, no es cuestion de opinones. Hay hechos.

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@Analucasq @Anonymous_TA Es opinable que es cuanto menos ridículo comparar la bandera de un pais genocida con la bandera de un colectivo discriminado?

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@Analucasq @Anonymous_TA Estas comparando una bandera que lucha por el los derechos de un colectivo históricamente discriminado con la bandera de un pais genocida?

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@NedicKDufreiN @IreneMontero @s De que cueva te has escapado?

[Nico Garcia | IA @NicoGarcia_IA]

Te dejo 29 atajos de Claude 🚨

(Mis favoritos)

Para que multipliques X10 tu productividad

[Eric Ker @EricKerArt]

So I just asked Gemini and Chat gpt to adapt @john_my07 mega prompt into the universe of Marcel Pagnol (South of France, beginning of the 20th century). Results is very cinematic. Very pleased with the camera movements.

@dreamina_ai Seedance 2.0 #DreaminaCPP

Here is the prompt by Gemini :

Main subject: Young Provençal woman, early 20s, natural and sun-kissed everyday appearance (reminiscent of a Pagnol heroine like Manon or Naïs). Wearing a simple, faded en toile light cotton sundress with a subtle floral pattern, a beige linen apron tied around her waist, and worn leather sandals. Thick, wavy dark brown hair loosely tied back with a simple fabric ribbon, with a few stray curls framing her face. Realistic skin texture with light freckles from the sun, absolutely no makeup, warm, expressive, and mischievous personality. Maintain consistent identity, clothing, and appearance throughout the entire video.

Location: An authentic, quiet Provençal village nestled at the foot of arid limestone hills during a warm, bright late morning. Narrow cobblestone alleys, old stone houses with faded pastel shutters (pale blue or lavender), small shaded terraces, terracotta pots with geraniums and wild rosemary, laundry lines stretching across the street, a wooden cart, an old stone well, and mature olive trees casting dappled shadows. Quiet, timeless rural atmosphere. No modern elements, no cars, no commercial signs.

Visual Style: Ultra-realistic vintage film realism, 1930s-1950s cinema verité. Genuine candid behavior, natural body language, unscripted slice-of-life feeling. Strong historical and regional authenticity, rich real-world textures (stone, dust, rough fabric), and believable human motion.

Camera Style: Early 16mm color film aesthetic (like vintage Technicolor or Kodachrome with warm tones). Handheld, immersive, and slightly imperfect framing as if a friend is documenting a summer day. Soft lens texture, gentle organic film grain, warm golden hour light, occasional slight overexposure when stepping into the bright Mediterranean sun, natural lens flares, and soft contrast. No modern stabilization, no digital crispness.

Timeline (00:00–00:15)
00:00–00:02Outside the heavy wooden door of an old stone cottage. She sits on a low stone bench, readjusting the ribbon in her hair with both hands raised. A light mistral breeze moves loose strands of her hair. She smiles warmly at the camera with a sparkling, expressive gaze.
00:02–00:04The camera follows her as she walks into a narrow, sun-drenched alley lined with terracotta pots. She spots a stray cicada or a small village dog approaching and crouches down, her dress pooling around her. The framing drifts slightly, capturing the dust dancing in the sunbeams.

00:04–00:06She gently pets the dog (or coaxes a cicada onto a leaf). The camera focus shifts organically between her smiling face and her hands. Bright Mediterranean sunlight flickers through the silver leaves of an olive tree overhead.
00:06–00:08A small patch of dirt yard beside her house. She hangs crisp white linen sheets on a rope clothesline, her arms reaching up as the fabric sways in the wind. The camera catches the bright contrast between the white fabric and the deep blue sky.

00:08–00:10On a quiet, shaded terrace, holding a hand-painted ceramic pitcher. She pours fresh water into a glass, takes a sip, and sits comfortably, watching the quiet village life. She occasionally brushes a stray curl behind her ear. Loose handheld angle with natural camera drift.
00:10–00:12Close side profile. Someone off-camera (an old villager) greets her with a loud, singing voice. She turns her head, raises her hand with a wide, radiant smile, and casually calls out, “Oh, bonjour, Marius !” The camera pans slightly late, capturing her spontaneous laughter.

00:12–00:15Walking slowly down a dusty path towards the hills, holding a small basket of fresh figs. She notices the camera, gives a cheeky, genuine smile, then looks toward the horizon and continues walking. The film reel cuts abruptly to a warm light leak and black, as if the camera ran out of film.
Audio: Natural ambient soundscape of the South of France — a loud, continuous chorus of cicadas (les cigales), a light rustling of olive leaves from the Mistral wind, distant clinking of pétanque boules, faint laughter or chatter in a thick Provençal accent from a nearby square, footsteps on dry earth and stone. No modern music. No artificial sound design. Pure, immersive atmosphere.

Goal: Authentic Provençal village life captured like a lost piece of poetic realist cinema — candid, sun-drenched, imperfect, warm, and deeply nostalgic.

[V @VictorInFocus]

Tiny Midjourney trick:

Start your Midjourney prompt with:

“quadriptych cinema still”

You’ll get 4 frames (sometimes more) that feel like they’re from the same film/world.

Then drop the contact sheet into GPT Image 2 and ask it to isolate each frame.

In one response, it gives you multiple separate upscaled stills (AI-upscaled/recreated from the originals)

Prompt in next post ⬇️

[Opino de que 💜🕺🇵🇸 @AHurtadoXXX]

@Eduardo54812683 @diario_red_ Cuantos casos conoces de okupaciones en bares?

[TechHalla @techhalla]

You are the workflow now.

Kling Motion Control + Seedance 2.0 is the cleanest, most dynamic lip sync I’ve seen yet.

Here's how to use it in Magnific👇