Загрузка видео...

Не удалось загрузить видео

На главную

Frames + Midjourney → RUNWAY GEN-4. Big update...much improved. PROMPT STRUCTURE: [shot type], [subject + action + motion + direction] [env]. [Camera motion], [env description], [lighting], [mood/emotion]. PROMPT EX: A fast action tracking shot of a young man skateboarding towards us down a dusty desert road. The camera pulls...

39,281 просмотров • 1 год назад •via X (Twitter)

Комментарии: 13

Фото профиля DAViD
DAViD1 год назад

I always really enjoy the examples you put together! Quality work 👍 Thanks for sharing

Фото профиля OPEN
OPEN1 год назад

Cinematic pedigree of the highest order meets innovative AAA gameplay in OP3N. Dive into the action by wishlisting on Epic Games TODAY!

Фото профиля Bogdan Orlic 🇨🇦
Bogdan Orlic 🇨🇦1 год назад

Looks great Rory! Just curious what was your GEN-4 prompt when you imported the reference images?

Фото профиля Tabi Yume
Tabi Yume1 год назад

A well structured prompt as always. Nice one Rory👍waiting for Mj V7

Фото профиля FutureAI
FutureAI1 год назад

Wow, the new RUNWAY GEN-4 update sounds amazing! Can't wait to try it out. Thanks for sharing the prompt structure example

Фото профиля Arpit Sharma
Arpit Sharma1 год назад

The "camera pulls out as he weaves" part makes it feel like an actual storyboard shot.

Фото профиля The Augmented & Virtual Reality Wizard
The Augmented & Virtual Reality Wizard1 год назад

Mind blown by RUNWAY GEN-4! The prompt structure is pure genius. Can't wait to try it out!" #AR #VR #Midjourney

Фото профиля Habib ullah
Habib ullah1 год назад

Wow excellent

Фото профиля ⟁ndrew V
⟁ndrew V1 год назад

Awesome work Rory. Thank you for sharing the details. It’s very generous of you.

Фото профиля Nim Eshed 𝕏🦋
Nim Eshed 𝕏🦋1 год назад

Amazing clips

Фото профиля AI Evolution Polska🤖💡
AI Evolution Polska🤖💡1 год назад

that's awesome mate !

Фото профиля Gheon Stonecamp
Gheon Stonecamp1 год назад

Pretty damn insane. We really getting spoilt

Фото профиля Hungry Donk-E
Hungry Donk-E1 год назад

Impressive! Gen-4 is 🔥

Похожие видео

So Runway Gen 4.5 finally adds image-to-video, the workflow most pros rely on for consistency. We put it head to head with Kling AI and Google Flow VEO using the same reference images and prompts (below) to evaluate motion quality, stability, and cinematic realism. 1. Action/WaterPhysics Test Prompt: Cinematic, wide-shot of a man running in a shallow river. The camera is tracking the man from behind as he runs up the river. Handheld camera shake as the camera follows the man. 2. Fire Physics Test Prompt: Cinematic, wide-shot of terrified woman running towards her burning barn. She abruptly stops, and puts in hands on her head as she watches her barn burn down. 3. VFX test prompt: Cinematic, wide-shot of a hooded figure. Flashes of purple magic and smoke whirl around the figure. The figure lifts its arms as the purple magic and smoke intensifies. 4. 2D Animation Test Prompt: 2D animated shot of a waiting at a bus stop in a thunderstorm. The man turns, walks to the bench, and sits down. 5. 3D Animation Test Prompt: 3D animated shot of an octopus. The octopus reaches into a coral and picks up a glowing white gem. 6. Conversation Test Prompt: slow camera push-in as two friends are having a conversation at a coffee shop Overall verdict: Despite the “world’s best” claim, Runway Gen 4.5 is not there yet. Prompt adherence is solid, but motion, physics, and cinematic realism still lag behind tools like Kling and VEO. Great platform, mid-tier model for now.

Curious Refuge

25,712 просмотров • 8 месяцев назад

Prompt: Create a 43-second cinematic, photorealistic action-comedy sequence inside an old, cramped, slightly abandoned apartment/bathroom with realistic worn walls, tiled surfaces, warm practical lighting, and natural shadows. A young adult man in a light gray T-shirt is standing in front of a bathroom mirror. Suddenly, another man wearing a black-and-white striped shirt appears and aggressively grabs him. The two struggle physically through the small bathroom, with realistic body movement, pushing, pulling, stumbling and fighting. The action continues dynamically through the bathroom. One character crashes against the wall and breaks through a damaged section, creating a large opening into the adjacent room. Dust and small debris fall naturally as the wall breaks. Continue with a fast-paced chase through the apartment. The gray-shirted man runs toward a window while the striped-shirted man follows. Use handheld camera movement, realistic motion blur, quick tracking shots and dramatic close-ups to make the sequence feel like a real action movie. The characters then escape outside into an old brick courtyard/alley. One character climbs onto a rusty metal fire escape while the other follows from below. Show realistic physics, footsteps, clothing movement and environmental interaction. Final scene: transition to a large outdoor dumpster filled with cardboard and garbage. The gray-shirted man is inside the dumpster, looking exhausted and confused, holding a small green plush toy. He slowly looks around as the camera pushes in toward his face. End on a slightly comedic reaction shot. Visual style: ultra-photorealistic, cinematic action film, realistic human anatomy, natural skin texture, detailed environments, practical lighting, subtle film grain, realistic physics, believable facial expressions. Camera: dynamic handheld cinematography, wide establishing shots, medium tracking shots, close-ups during the struggle, smooth camera transitions, natural depth of field, 35mm/50mm cinematic lenses. Motion: realistic human movement, accurate weight and momentum, natural collisions, realistic debris and dust simulation, no slow-motion unless used very briefly for dramatic impact. Important: Maintain consistent character appearance, clothing, hairstyle and body proportions throughout the entire video. No random character changes, no extra limbs, no distorted faces, no cartoon appearance, no text, no subtitles, no watermark.

Karlos

25,977 просмотров • 1 месяц назад

POV: turning a simple morning routine into a cinematic little story ☕🐶✨ From waking up and making coffee to taking the dog out for a peaceful morning walk. Created with Seedance 2.5 on TapNow PROMPT: 30-SECOND CINEMATIC MORNING VLOG — “FROM BED TO OUTSIDE” Use the user-provided character reference as a strict identity lock and the user-provided outfit reference exactly. Keep the same face, hairstyle, body proportions, clothing, shoes, and accessories throughout the entire video. Use the same dog consistently in every shot. FORMAT: 16:9 widescreen, photorealistic, premium lifestyle vlog, cinematic natural lighting, realistic motion, subtle film grain, warm morning color grading. 0–5 SEC — WAKE UP Soft morning sunlight enters the bedroom. The character slowly wakes up, sits on the edge of the bed, runs a hand through his hair, and takes a quiet moment before getting up. Slow cinematic push-in, natural bedroom ambience. 5–10 SEC — COFFEE Cut to the kitchen. He prepares a simple morning coffee. Close-up of coffee beans, water pouring, coffee filling the cup, then him taking the first sip beside the kitchen window. Warm sunlight, shallow depth of field, gentle handheld camera movement. 10–15 SEC — GETTING READY He puts on his shoes, grabs his keys and leash, and looks toward his dog waiting excitedly near the door. Quick but smooth cinematic cuts. The dog happily follows him toward the entrance. 15–25 SEC — MORNING WALK He steps outside with his dog into a peaceful morning street. They walk casually together through a quiet neighborhood. Capture wide establishing shots, low-angle walking shots, close-ups of their feet, the dog walking beside him, and natural sunlight filtering through trees. 25–30 SEC — FINAL SHOT Wide cinematic shot from behind as the character and dog continue walking down the street. He briefly looks toward the morning sky while the dog walks beside him. Slow camera pull-back, peaceful ending. CAMERA STYLE: Smooth handheld movement, slow push-ins, gentle tracking shots, occasional low angles, natural transitions, realistic depth of field, cinematic framing. AUDIO: Natural morning ambience, birds, subtle footsteps, coffee machine sounds, leash movement, soft city atmosphere. Minimal calm background music. NEGATIVE PROMPT: identity changes, outfit changes, inconsistent dog, different dog breed, distorted anatomy, extra limbs, unnatural walking, floating objects, unrealistic motion, excessive camera shake, oversaturated colors, artificial skin, cartoon, anime, CGI look, text, subtitles, watermark, logo.

Caden Flux

23,181 просмотров • 1 месяц назад

AI Video Generation Prompt > A cinematic hand-drawn anime scene of a young schoolgirl riding a skateboard along a narrow seaside promenade in a vibrant coastal city. She wears a loose blue school uniform, red socks, sneakers, and a bright yellow backpack. The camera follows smoothly from behind as she gently skateboards forward, her short brown hair and uniform moving naturally in the ocean breeze. On the left, colorful densely packed seaside buildings, small shops, signs, pedestrians, balconies, electrical wires and street details create a lively urban atmosphere. On the right, brilliant turquoise-blue ocean waves crash dramatically against the seawall, with white foam and sparkling water. In the distance, the coastline curves toward the horizon beneath an enormous vivid blue sky filled with soft white cumulus clouds. Warm afternoon sunlight, long shadows, rich saturated colors, detailed hand-painted backgrounds, nostalgic Japanese anime aesthetic, fluid 2D animation, subtle parallax between foreground and background, realistic wave motion, gentle camera tracking, peaceful adventurous atmosphere, highly detailed cinematic composition, vertical 9:16. Motion: smooth forward skateboard movement, natural hair and clothing flutter, pedestrians subtly moving, ocean waves continuously rolling and splashing, clouds drifting slowly, gentle handheld/cinematic camera movement. Negative prompt: photorealistic, 3D CGI, distorted anatomy, extra limbs, flickering, warped buildings, changing clothes, changing backpack, blurry details, jittery motion, unnatural skateboard movement, text artifacts, oversaturated neon colors.

AI_with_qamar

95,344 просмотров • 6 дней назад

With the release of Kling AI 2.6, I was eager to put it up against one of its arch-rivals….Google Flow Veo 3.1. I ran four separate tests. First, I tested their ability to generate consistent and stable action shots. Second, I tested camera movement in a crowded scene. Third, I tested their ability to generate consistent facial details and emotion. Fourth, I wanted to see how well they can generated an interaction between two characters. Prompt 1: camera tracking shot, wide-shot. The camera tracks above as two nights ride on horses through a forest. The horses a galloping fast. The camera is tracking the knights from above. Prompt 2: Slow camera push in on a man eating Ramen at a Ramen house in Japan. The alley street is busy with people. Prompt 3: Close-up shot of a man on a sailboat. The man has a scared look on his face. After a short pause, the man says, "I'm gonna need a bigger boat” Prompt 4: Static camera. A man picks up a cookie from a plate and takes a bite. His dog looks up at him; eagerly wanting a bite of the cookie. The man turns, looks at the dog, and says, "no cookies for you mister” Verdict🏆: To be honest, I was surprised by Kling 2.6. While Veo 3.1 outperformed Kling 2.6 in the close-up shot test, it slightly underperformed in every other test. In the Veo 3.1 outputs, objects would randomly appear and camera movements were abrupt or didn’t adhere to the prompt. Don’t get me wrong, Kling 2.6 definitely had its flaws (its audio was quieter and often mismatched the prompt). That said, I was impressed with Kling 2.6 more than I imagined I would be. Although a somewhat small lead, I would give Kling 2.6 the slight advantage for this round of tests.

Curious Refuge

24,695 просмотров • 10 месяцев назад