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SVV full screen punish as Sol. 9 frame meter-less reversal with 11 frames of invul on it's startup. #GGST #GGST_SO #GUILTYGEAR #GuiltyGearStrive

ENVY

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47,554 次观看 • 11 个月前 •via X (Twitter)

科学技术游戏 #GGST #GGST_SO #GUILTYGEAR #GuiltyGearStrive

Anya Rossi• Live Now

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Look closely. Many tons of debris and dozens of steel beams are hurled hundreds of feet away from the South Tower of the World Trade Center as it's destroyed on 9/11. Gravity doesn’t work sideways. What intense forces caused this?

Look closely. Many tons of debris and dozens of steel beams are hurled hundreds of feet away from the South Tower of the World Trade Center as it's destroyed on 9/11. Gravity doesn’t work sideways. What intense forces caused this?

illuminatibot

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From International Space Station, we have a unique vantage point to observe lightning storms from directly above them. Much like from the ground, they appear as rapid, intense flashes that are over as quickly as they started. But, with the help of handheld cameras and a bit of practice (and, admittedly, some luck), we can capture these intense flashes with a very high frame rate then slow them down to see how the lightning propagates. It's lightning, in slow motion. This is one that occurred over Indonesia on 6/28. I shot it for a half second at 1/120 frame rate, so, 60 separate frames. I then compiled those frames into two videos: the first, in real-time, and the second, slowed down so that each frame is a half second to highlight the progression of the flash. Note the incredible burst of light in one frame, which includes what is likely a TLE on the upper left. A TLE, or Transient Luminous Event, is an electrical discharge that happens in the upper atmosphere above lightning storms (if you haven’t seen Ferry Farhan TLE photo from last week, head over to her page). As their name implies, these are transient, or short lived, phenomena – it appeared in only one frame of the sequence, lasting for no more than 1/120th of a second. The last photo is that single frame. Absolutely incredible.

From International Space Station, we have a unique vantage point to observe lightning storms from directly above them. Much like from the ground, they appear as rapid, intense flashes that are over as quickly as they started. But, with the help of handheld cameras and a bit of practice (and, admittedly, some luck), we can capture these intense flashes with a very high frame rate then slow them down to see how the lightning propagates. It's lightning, in slow motion. This is one that occurred over Indonesia on 6/28. I shot it for a half second at 1/120 frame rate, so, 60 separate frames. I then compiled those frames into two videos: the first, in real-time, and the second, slowed down so that each frame is a half second to highlight the progression of the flash. Note the incredible burst of light in one frame, which includes what is likely a TLE on the upper left. A TLE, or Transient Luminous Event, is an electrical discharge that happens in the upper atmosphere above lightning storms (if you haven’t seen Ferry Farhan TLE photo from last week, head over to her page). As their name implies, these are transient, or short lived, phenomena – it appeared in only one frame of the sequence, lasting for no more than 1/120th of a second. The last photo is that single frame. Absolutely incredible.

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Learn how the 🥚 gets locked in on gameday Full video in the replies ⤵️

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ENVY

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Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation paper page: Large text-to-image diffusion models have exhibited impressive proficiency in generating high-quality images. However, when applying these models to video domain, ensuring temporal consistency across video frames remains a formidable challenge. This paper proposes a novel zero-shot text-guided video-to-video translation framework to adapt image models to videos. The framework includes two parts: key frame translation and full video translation. The first part uses an adapted diffusion model to generate key frames, with hierarchical cross-frame constraints applied to enforce coherence in shapes, textures and colors. The second part propagates the key frames to other frames with temporal-aware patch matching and frame blending. Our framework achieves global style and local texture temporal consistency at a low cost (without re-training or optimization). The adaptation is compatible with existing image diffusion techniques, allowing our framework to take advantage of them, such as customizing a specific subject with LoRA, and introducing extra spatial guidance with ControlNet. Extensive experimental results demonstrate the effectiveness of our proposed framework over existing methods in rendering high-quality and temporally-coherent videos.

Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation paper page: Large text-to-image diffusion models have exhibited impressive proficiency in generating high-quality images. However, when applying these models to video domain, ensuring temporal consistency across video frames remains a formidable challenge. This paper proposes a novel zero-shot text-guided video-to-video translation framework to adapt image models to videos. The framework includes two parts: key frame translation and full video translation. The first part uses an adapted diffusion model to generate key frames, with hierarchical cross-frame constraints applied to enforce coherence in shapes, textures and colors. The second part propagates the key frames to other frames with temporal-aware patch matching and frame blending. Our framework achieves global style and local texture temporal consistency at a low cost (without re-training or optimization). The adaptation is compatible with existing image diffusion techniques, allowing our framework to take advantage of them, such as customizing a specific subject with LoRA, and introducing extra spatial guidance with ControlNet. Extensive experimental results demonstrate the effectiveness of our proposed framework over existing methods in rendering high-quality and temporally-coherent videos.

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It's just too easy for Danny!

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Good ol’ Lucky Larry Silverstein. He just happened to be at home on 9/11. Along with many other members of the tribe… Weird right? Fascinating body language when he was directly asked as well.

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Good ol’ Lucky Larry Silverstein. He just happened to be at home on 9/11. Along with many other members of the tribe… Weird right? Fascinating body language when he was directly asked as well.

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JD Vance Trolling lol On the 25th anniversary of 9/11– "As you guys can probably guess, I'm really looking forward to hanging out with Joe Biden. I'm sure we'll have many many intense intellectual conversations."

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MJTruthUltra

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A new split-screen prompt experiment. Prompt : Sweeping romantic harbor festival at sunset with lanterns, sea wind, warm amber glow, and crowds moving through music and laughter. Split screen vertically for the full sequence. On the left side, follow her with a soft floating camera weaving through dancers and market stalls as she suddenly notices him across the harbor square. On the right side, show the same instant from his perspective, a slow push through lantern light and passing couples as he spots her at exactly the same moment. Both halves mirror the same event but with different emotional emphasis, her side showing hesitation and vulnerability, his side showing disbelief and hope. The camera on each half circles slightly as they begin moving toward one another through the crowd, with near misses, shifting eyelines, and people crossing frame in sync. Climax: both sides reach the seawall at the same time, and the split screen collapses visually in spirit as their hands meet. Ending: hold the split for a few seconds longer even in the embrace, showing each face from the other’s point of view as lanterns rise behind them.

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