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Grok Imagine API just released A world-class video generation + video editing model Text-to-Video: Turn simple prompts into rich video clips with audio Image Generation + Editing: Bring ideas to life with visuals from scratch Video Editing Tools: Restyle scenes, add/remove props, control motion Best-in-Class Quality + Low Latency:...

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X Freeze

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15,078 просмотров • 4 месяцев назад •via X (Twitter)

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Grok Imagine API now supports built-in video editing on top of powerful video generation You can feed in your own videos and edit them directly with Grok Imagine, transforming or enhancing footage without traditional timeline editing Developers can generate high-quality videos at scale with fast iteration and simple integration into existing workflows One API does it all: • Text-to-video • Image-to-video • Edit existing videos directly • Replace, remove, or add objects inside a video • Built-in audio sync for every clip Turn your ideas into finished videos – at scale, through a single API
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Grok Imagine API now supports built-in video editing on top of powerful video generation You can feed in your own videos and edit them directly with Grok Imagine, transforming or enhancing footage without traditional timeline editing Developers can generate high-quality videos at scale with fast iteration and simple integration into existing workflows One API does it all: • Text-to-video • Image-to-video • Edit existing videos directly • Replace, remove, or add objects inside a video • Built-in audio sync for every clip Turn your ideas into finished videos – at scale, through a single API

X Freeze

19,054 просмотров • 4 месяцев назад

Google announces Dreamix: a model that generates videos when given: - video + prompt (Video editing) - input images + prompt (Subject Driven Generation) - input image + prompt (Image-toVideo
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Google announces Dreamix: a model that generates videos when given: - video + prompt (Video editing) - input images + prompt (Subject Driven Generation) - input image + prompt (Image-toVideo

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Bring ideas to life with Grok Imagine. Introducing the fastest video and image generation experience.
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Bring ideas to life with Grok Imagine. Introducing the fastest video and image generation experience.
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Bring ideas to life with Grok Imagine. Introducing the fastest video and image generation experience.

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Bring ideas to life with Grok Imagine. Introducing the fastest video and image generation experience.
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Bring ideas to life with Grok Imagine. Introducing the fastest video and image generation experience.

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Bring ideas to life with Grok Imagine. Introducing the fastest video and image generation experience.
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Bring ideas to life with Grok Imagine. Introducing the fastest video and image generation experience.

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338,585 просмотров • 8 дней назад

Grok Imagine is now LIVE in Hedra DAY 0 ! 🚀 Stunning photorealistic images & videos. Lightning-fast generation Easy edits for elements, styles & more Text to Image. Image Editing. Text to Video. Image to Video All inside Hedra. Try it now.
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Grok Imagine is now LIVE in Hedra DAY 0 ! 🚀 Stunning photorealistic images & videos. Lightning-fast generation Easy edits for elements, styles & more Text to Image. Image Editing. Text to Video. Image to Video All inside Hedra. Try it now.

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1/2 Meet Wan2.7-Video — The Comprehensive Model for Controllable Video Storytelling! From single clips to full-scale narrative direction, we’ve built more than just a generator. We’ve built a director’s suite: • Multimodal control over performance and style via text, image, audio, and video. • Character customization with up to 5 reference inputs and voice profiles. • Video editing with simple, intuitive instructions. • Full-stack creative toolkit: generation, editing, cloning, restyling, continuation, and more. • Sustained improvements in visual fidelity, motion stability, and prompt adherence.

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TLDR: Meet ✨Lumiere✨ our new text-to-video model from Google AI! Lumiere is designed to create entire clips in just one go! Seamlessly opening up possibilities for many applications: Image-to-video 🖼️ Stylized generation 🖌️ Video editing 🪩 and beyond. See 🧵👇
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Complete story entirely created with Grok Imagine 4.20: -Image, image editing, image reference -video, Images for video reference, video extension I did in a few hours what used to take me weeks and of much better quality!
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Today we’re sharing two new advances in our generative AI research: Emu Video & Emu Edit. Details ➡️ These new models deliver exciting results in high quality, diffusion-based text-to-video generation & controlled image editing w/ text instructions. 🧵

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Thanks to the Quality mode of Grok Imagine I was able to make this video which I couldn't do before. Image: Quality mode of Grok Imagine Editing image: Grok Imagine Animation with extension : Grok Imagine
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🕹️We are excited to introduce "ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation" ChronoEdit reframes image editing as a video generation task to encourage temporal consistency. It leverages a temporal reasoning stage that denoises with “video reasoning tokens” to "reason" on physically plausible edits. See the attached video for results. Project Page: Arxiv: Code and model are coming.

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Grok Imagine also lets you edit video by adding, removing, or swapping objects with precision. Change props, remove distractions, or refine a scene while keeping everything consistent. No reshoots, no complicated editing tools. Edit video as easily as editing text.
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Grok Imagine also lets you edit video by adding, removing, or swapping objects with precision. Change props, remove distractions, or refine a scene while keeping everything consistent. No reshoots, no complicated editing tools. Edit video as easily as editing text.

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Most AI video tools still feel like traditional editors with a few AI features added in. You still end up adjusting timelines, fixing frames, and spending time editing. But Hailuo AI felt different to me. I gave it a simple prompt and one image, and it generated a full video on its own. No complicated workflow, no manual editing just idea to video in minutes. The text-to-video results are surprisingly good, image-to-video transitions look smooth, and the overall output feels cinematic. What I liked most is the speed. You can quickly test ideas without getting stuck in editing. Try it here: #Hailuo

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32,326 просмотров • 1 месяц назад

InstantDrag Improving Interactivity in Drag-based Image Editing discuss: Drag-based image editing has recently gained popularity for its interactivity and precision. However, despite the ability of text-to-image models to generate samples within a second, drag editing still lags behind due to the challenge of accurately reflecting user interaction while maintaining image content. Some existing approaches rely on computationally intensive per-image optimization or intricate guidance-based methods, requiring additional inputs such as masks for movable regions and text prompts, thereby compromising the interactivity of the editing process. We introduce InstantDrag, an optimization-free pipeline that enhances interactivity and speed, requiring only an image and a drag instruction as input. InstantDrag consists of two carefully designed networks: a drag-conditioned optical flow generator (FlowGen) and an optical flow-conditioned diffusion model (FlowDiffusion). InstantDrag learns motion dynamics for drag-based image editing in real-world video datasets by decomposing the task into motion generation and motion-conditioned image generation. We demonstrate InstantDrag's capability to perform fast, photo-realistic edits without masks or text prompts through experiments on facial video datasets and general scenes. These results highlight the efficiency of our approach in handling drag-based image editing, making it a promising solution for interactive, real-time applications.
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InstantDrag Improving Interactivity in Drag-based Image Editing discuss: Drag-based image editing has recently gained popularity for its interactivity and precision. However, despite the ability of text-to-image models to generate samples within a second, drag editing still lags behind due to the challenge of accurately reflecting user interaction while maintaining image content. Some existing approaches rely on computationally intensive per-image optimization or intricate guidance-based methods, requiring additional inputs such as masks for movable regions and text prompts, thereby compromising the interactivity of the editing process. We introduce InstantDrag, an optimization-free pipeline that enhances interactivity and speed, requiring only an image and a drag instruction as input. InstantDrag consists of two carefully designed networks: a drag-conditioned optical flow generator (FlowGen) and an optical flow-conditioned diffusion model (FlowDiffusion). InstantDrag learns motion dynamics for drag-based image editing in real-world video datasets by decomposing the task into motion generation and motion-conditioned image generation. We demonstrate InstantDrag's capability to perform fast, photo-realistic edits without masks or text prompts through experiments on facial video datasets and general scenes. These results highlight the efficiency of our approach in handling drag-based image editing, making it a promising solution for interactive, real-time applications.

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