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FLUX 3 Video now has fast, precise editing. The fastest and lowest cost video editing model in the world. In our internal benchmarking, it’s also ahead of other leading models in the accuracy and precision of edits. Edit an existing video by: • Adding, removing, or replacing objects and... show more

Black Forest Labs

52,383 subscribers

74,981 次观看 • 8 天前 •via X (Twitter)

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33 条评论

Latent Spacer 的头像

Latent Spacer8 天前

@robrombach

Black Forest Labs 的头像

Black Forest Labs8 天前

FLUX 3 Video Edit [fast] sits on the Pareto Frontier for quality and cost, delivering near-leading quality at the lowest cost in the market.

Black Forest Labs 的头像

Black Forest Labs8 天前

It’s particularly good at making a specific edit without changing anything else. In testing, we noticed other leading models often alter other parts of your original video — even if you only requested a very specific edit. Not yet supported (but coming soon): • Using a separate video as a reference • Using images or audio as reference

Black Forest Labs 的头像

Black Forest Labs8 天前

Docs: Try it:

NoKai 的头像

NoKai8 天前

No open source, no party ;)

Jigs 的头像

Jigs8 天前

Just release the weights and see the hype 📈

Michael Janich 🌎🇪🇺🇩🇪 𝕏 的头像

Michael Janich 🌎🇪🇺🇩🇪 𝕏8 天前

Is it open weights?

king gore 的头像

king gore8 天前

No open weights. No interest.

Open Source AI 的头像

Open Source AI8 天前

Fabulous ! Open Weight when ?

Otnashi 的头像

Otnashi8 天前

Anything but dropping the weights.

AlienBehindYou 的头像

AlienBehindYou8 天前

OPEN WEIGHT SON

LAION 的头像

LAION8 天前

Where are the weights? 🙂

Ademola 的头像

Ademola8 天前

Open weights when?

Agentsfy 的头像

Agentsfy8 天前

when is open source weights coming?

Saf - The Great Ⓜ️ 的头像

Saf - The Great Ⓜ️8 天前

Would be so great to celebrate the launch with few days of free usage like you did on Flux 3 video launch and Leaderboards

YJ 的头像

YJ8 天前

What happened to open sourcing it

Magica 的头像

Magica8 天前

Fast editing is nice. Fast editing plus research, scripting, and full production in one agent is what Magica already ships.

ai lover fun wan 的头像

ai lover fun wan8 天前

Damn, i cant wait to use it in comfyui.

Deep Prompt Cinema 的头像

Deep Prompt Cinema8 天前

Adding my open weights request to the chorus of cries. 🥲

Gorkem Yurtseven 的头像

Gorkem Yurtseven8 天前

@robrombach 🔥🔥🔥

dolll 的头像

dolll8 天前

No open source we don’t give shit I will stay on H3

. 的头像

.8 天前

Nobody cares if you dont release the weights or we all gonna think it was just a bad marketing decision? Or a scam?

Fanis 的头像

Fanis8 天前

My favorite video model by far. The natural camera motion and realism, when it comes to picture quality is unmatched.

Silenced American 的头像

Silenced American8 天前

Release it!!

mr 的头像

mr8 天前

No open source we don’t endorse

GifCo 的头像

GifCo7 天前

Forgot you even released this, and so did everyone else, still waiting on weights.

𝖒𝖆𝖈𝖇𝖊𝖙𝖍 的头像

𝖒𝖆𝖈𝖇𝖊𝖙𝖍8 天前

woahhhhhhhhhhhh

nonameoasis 的头像

nonameoasis8 天前

Wow💯💯💯💪💀

Mike Darrow 的头像

Mike Darrow8 天前

Looking Good

GhostMKC AKA ＭｒＫｕｓｈＣｌｏｕｄｓ的头像

GhostMKC AKA ＭｒＫｕｓｈＣｌｏｕｄｓ8 天前

Flux is one of my personal favorite models to create with. Keep it up! :)

Key 🗝 🦊 的头像

Key 🗝 🦊8 天前

Sounds like a free usage weekend?

Lucas P YEHUA ⬛️🟨⬜️ 🇹🇼 的头像

Lucas P YEHUA ⬛️🟨⬜️ 🇹🇼7 天前

Will the dev open-weight model be ready by year-end? I see the progress! The R2VA capability is very important.

Sebastian Buzdugan 的头像

Sebastian Buzdugan7 天前

does precision hold past thirty seconds, where temporal drift breaks localized edits

相关视频

Ok finally dug into Meta's new Movie Gen paper. Text-to-video is cool and all but, to me the precise editing feature is the game changer. I mean just look at these results 🤯 It can handle complex VFX tasks like replacing environments, doing set extensions, swapping characters, removing items, adding particle effects with realistic lighting interaction. The coolest bit to me is how they trained this model, because paired before/after vfx editing datasets are super scarce. TL;DR They taught it video editing through a clever three-stage process: 1. Started with image editing data, treating it like single-frame video edits. 2. Created synthetic video editing tasks by animating still image edits and using AI models (like SAM and DINO) for object segmentation. 3. The model generated edited videos, and then learned to reconstruct the originals from the edited version Meta calls this "video editing via backtranslation" and the results speak for themselves.

Ok finally dug into Meta's new Movie Gen paper. Text-to-video is cool and all but, to me the precise editing feature is the game changer. I mean just look at these results 🤯 It can handle complex VFX tasks like replacing environments, doing set extensions, swapping characters, removing items, adding particle effects with realistic lighting interaction. The coolest bit to me is how they trained this model, because paired before/after vfx editing datasets are super scarce. TL;DR They taught it video editing through a clever three-stage process: 1. Started with image editing data, treating it like single-frame video edits. 2. Created synthetic video editing tasks by animating still image edits and using AI models (like SAM and DINO) for object segmentation. 3. The model generated edited videos, and then learned to reconstruct the originals from the edited version Meta calls this "video editing via backtranslation" and the results speak for themselves.

Bilawal Sidhu

50,775 次观看 • 1 年前

TokenFlow: Consistent Diffusion Features for Consistent Video Editing paper page: The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-the-art video models are still lagging behind image models in terms of visual quality and user control over the generated content. In this work, we present a framework that harnesses the power of a text-to-image diffusion model for the task of text-driven video editing. Specifically, given a source video and a target text-prompt, our method generates a high-quality video that adheres to the target text, while preserving the spatial layout and motion of the input video. Our method is based on a key observation that consistency in the edited video can be obtained by enforcing consistency in the diffusion feature space. We achieve this by explicitly propagating diffusion features based on inter-frame correspondences, readily available in the model. Thus, our framework does not require any training or fine-tuning, and can work in conjunction with any off-the-shelf text-to-image editing method. We demonstrate state-of-the-art editing results on a variety of real-world videos.

TokenFlow: Consistent Diffusion Features for Consistent Video Editing paper page: The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-the-art video models are still lagging behind image models in terms of visual quality and user control over the generated content. In this work, we present a framework that harnesses the power of a text-to-image diffusion model for the task of text-driven video editing. Specifically, given a source video and a target text-prompt, our method generates a high-quality video that adheres to the target text, while preserving the spatial layout and motion of the input video. Our method is based on a key observation that consistency in the edited video can be obtained by enforcing consistency in the diffusion feature space. We achieve this by explicitly propagating diffusion features based on inter-frame correspondences, readily available in the model. Thus, our framework does not require any training or fine-tuning, and can work in conjunction with any off-the-shelf text-to-image editing method. We demonstrate state-of-the-art editing results on a variety of real-world videos.

AK

143,469 次观看 • 3 年前

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

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 次观看 • 7 个月前

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields paper page: Editing a local region or a specific object in a 3D scene represented by a NeRF is challenging, mainly due to the implicit nature of the scene representation. Consistently blending a new realistic object into the scene adds an additional level of difficulty. We present Blended-NeRF, a robust and flexible framework for editing a specific region of interest in an existing NeRF scene, based on text prompts or image patches, along with a 3D ROI box. Our method leverages a pretrained language-image model to steer the synthesis towards a user-provided text prompt or image patch, along with a 3D MLP model initialized on an existing NeRF scene to generate the object and blend it into a specified region in the original scene. We allow local editing by localizing a 3D ROI box in the input scene, and seamlessly blend the content synthesized inside the ROI with the existing scene using a novel volumetric blending technique. To obtain natural looking and view-consistent results, we leverage existing and new geometric priors and 3D augmentations for improving the visual fidelity of the final result. We test our framework both qualitatively and quantitatively on a variety of real 3D scenes and text prompts, demonstrating realistic multi-view consistent results with much flexibility and diversity compared to the baselines. Finally, we show the applicability of our framework for several 3D editing applications, including adding new objects to a scene, removing/replacing/altering existing objects, and texture conversion.

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields paper page: Editing a local region or a specific object in a 3D scene represented by a NeRF is challenging, mainly due to the implicit nature of the scene representation. Consistently blending a new realistic object into the scene adds an additional level of difficulty. We present Blended-NeRF, a robust and flexible framework for editing a specific region of interest in an existing NeRF scene, based on text prompts or image patches, along with a 3D ROI box. Our method leverages a pretrained language-image model to steer the synthesis towards a user-provided text prompt or image patch, along with a 3D MLP model initialized on an existing NeRF scene to generate the object and blend it into a specified region in the original scene. We allow local editing by localizing a 3D ROI box in the input scene, and seamlessly blend the content synthesized inside the ROI with the existing scene using a novel volumetric blending technique. To obtain natural looking and view-consistent results, we leverage existing and new geometric priors and 3D augmentations for improving the visual fidelity of the final result. We test our framework both qualitatively and quantitatively on a variety of real 3D scenes and text prompts, demonstrating realistic multi-view consistent results with much flexibility and diversity compared to the baselines. Finally, we show the applicability of our framework for several 3D editing applications, including adding new objects to a scene, removing/replacing/altering existing objects, and texture conversion.

AK

62,768 次观看 • 3 年前

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Kfir Aberman

15,164 次观看 • 10 个月前

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TurboEdit Instant text-based image editing discuss: We address the challenges of precise image inversion and disentangled image editing in the context of few-step diffusion models. We introduce an encoder based iterative inversion technique. The inversion network is conditioned on the input image and the reconstructed image from the previous step, allowing for correction of the next reconstruction towards the input image. We demonstrate that disentangled controls can be easily achieved in the few-step diffusion model by conditioning on an (automatically generated) detailed text prompt. To manipulate the inverted image, we freeze the noise maps and modify one attribute in the text prompt (either manually or via instruction based editing driven by an LLM), resulting in the generation of a new image similar to the input image with only one attribute changed. It can further control the editing strength and accept instructive text prompt. Our approach facilitates realistic text-guided image edits in real-time, requiring only 8 number of functional evaluations (NFEs) in inversion (one-time cost) and 4 NFEs per edit. Our method is not only fast, but also significantly outperforms state-of-the-art multi-step diffusion editing techniques.

AK

16,062 次观看 • 2 年前

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AK

71,232 次观看 • 2 年前

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🚨 LTX just dropped Audio-to-Video and it’s changing content creation forever. Just upload your voice or a song → LTX instantly builds perfectly timed visuals with automatic lip-sync. No more manual syncing. No more editing timelines for hours. Now your audio directs the scene and turns it into a cinematic video in seconds. Here’s how it works:

Manish Kumar Shah

27,360 次观看 • 7 个月前

⚒️Editing Preview⚒️ Colors are an important factor in every video edited that an editor should at least dabble in !! Manipulating the color can have as much of a strong effect on a video as adding SFX's or different visual effects ! Even if it's just a slight COLOR change !

⚒️Editing Preview⚒️ Colors are an important factor in every video edited that an editor should at least dabble in !! Manipulating the color can have as much of a strong effect on a video as adding SFX's or different visual effects ! Even if it's just a slight COLOR change !

QbQube 👾🧊@DOKOMI2026

17,051 次观看 • 8 个月前

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Runway

20,448 次观看 • 3 个月前

Introducing Runway Aleph, a new way to edit, transform and generate video. Aleph is a state-of-the-art in-context video model, setting a new frontier for multi-task visual generation, with the ability to perform a wide range of edits on an input video such as adding, removing and transforming objects, getting new angles of a scene and modifying style and lighting, among many other tasks.

Introducing Runway Aleph, a new way to edit, transform and generate video. Aleph is a state-of-the-art in-context video model, setting a new frontier for multi-task visual generation, with the ability to perform a wide range of edits on an input video such as adding, removing and transforming objects, getting new angles of a scene and modifying style and lighting, among many other tasks.

Runway

648,449 次观看 • 1 年前

📸 Introducing Replicate Image Editing Arena. We heard you needed an easy way to compare all of the latest image editing models. Evaluate models like FLUX.2, Nano Banana, Seedream, Qwen Edit, and Reve for speed, cost, and performance...all in one interface.

📸 Introducing Replicate Image Editing Arena. We heard you needed an easy way to compare all of the latest image editing models. Evaluate models like FLUX.2, Nano Banana, Seedream, Qwen Edit, and Reve for speed, cost, and performance...all in one interface.

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45,689 次观看 • 9 个月前

Introducing ChatCut Desktop! AI video editing is now LOCAL, FAST, and FREE. Connect Codex or Claude Code in one click - and tear through your editing backlog: - Edit talking heads and B-roll - Create stunning, fully editable motion graphics - Make and translate captions in any style - Generate video, music, sound effects, and images - including Seedance 2.5 at the lowest cost anywhere - Save and reuse skills, so you never repeat the same edit - Export XML directly to Premiere Pro, DaVinci Resolve, and CapCut - Agents work on real timelines. You stay in control Download now at

Introducing ChatCut Desktop! AI video editing is now LOCAL, FAST, and FREE. Connect Codex or Claude Code in one click - and tear through your editing backlog: - Edit talking heads and B-roll - Create stunning, fully editable motion graphics - Make and translate captions in any style - Generate video, music, sound effects, and images - including Seedance 2.5 at the lowest cost anywhere - Save and reuse skills, so you never repeat the same edit - Export XML directly to Premiere Pro, DaVinci Resolve, and CapCut - Agents work on real timelines. You stay in control Download now at

ChatCut

285,596 次观看 • 1 个月前

⚒️Editing Preview⚒️ While a video can be enough for any edit, in a lot of cases adding specific greenscreens or memes can HEAVILY enhance the editing script ! Even when an editor has to rewatch the footage x100 times, it tends to ALWAYS be worth the trouble !

⚒️Editing Preview⚒️ While a video can be enough for any edit, in a lot of cases adding specific greenscreens or memes can HEAVILY enhance the editing script ! Even when an editor has to rewatch the footage x100 times, it tends to ALWAYS be worth the trouble !

QbQube 👾🧊

35,560 次观看 • 7 个月前

Tencent presents TIP-Editor An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts paper page: Text-driven 3D scene editing has gained significant attention owing to its convenience and user-friendliness. However, existing methods still lack accurate control of the specified appearance and location of the editing result due to the inherent limitations of the text description. To this end, we propose a 3D scene editing framework, TIPEditor, that accepts both text and image prompts and a 3D bounding box to specify the editing region. With the image prompt, users can conveniently specify the detailed appearance/style of the target content in complement to the text description, enabling accurate control of the appearance. Specifically, TIP-Editor employs a stepwise 2D personalization strategy to better learn the representation of the existing scene and the reference image, in which a localization loss is proposed to encourage correct object placement as specified by the bounding box. Additionally, TIPEditor utilizes explicit and flexible 3D Gaussian splatting as the 3D representation to facilitate local editing while keeping the background unchanged. Extensive experiments have demonstrated that TIP-Editor conducts accurate editing following the text and image prompts in the specified bounding box region, consistently outperforming the baselines in editing quality, and the alignment to the prompts, qualitatively and quantitatively.

Tencent presents TIP-Editor An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts paper page: Text-driven 3D scene editing has gained significant attention owing to its convenience and user-friendliness. However, existing methods still lack accurate control of the specified appearance and location of the editing result due to the inherent limitations of the text description. To this end, we propose a 3D scene editing framework, TIPEditor, that accepts both text and image prompts and a 3D bounding box to specify the editing region. With the image prompt, users can conveniently specify the detailed appearance/style of the target content in complement to the text description, enabling accurate control of the appearance. Specifically, TIP-Editor employs a stepwise 2D personalization strategy to better learn the representation of the existing scene and the reference image, in which a localization loss is proposed to encourage correct object placement as specified by the bounding box. Additionally, TIPEditor utilizes explicit and flexible 3D Gaussian splatting as the 3D representation to facilitate local editing while keeping the background unchanged. Extensive experiments have demonstrated that TIP-Editor conducts accurate editing following the text and image prompts in the specified bounding box region, consistently outperforming the baselines in editing quality, and the alignment to the prompts, qualitatively and quantitatively.

AK

56,428 次观看 • 2 年前

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.

AI at Meta

2,266,531 次观看 • 1 年前

You can now edit an entire YouTube video by just chatting with your video editing timeline. It's called the rush agent and it's live inside of vidrush.

You can now edit an entire YouTube video by just chatting with your video editing timeline. It's called the rush agent and it's live inside of vidrush.

VidRush

27,043 次观看 • 2 个月前

Say goodbye to complex prompts and fragmented editing software. Welcome to the Skill era of AI video. Now, you can deploy an entire creative workflow in a single click. Cinematic camera motion, precise pacing, bespoke visual styles, and editing logic are all pre-packaged into reusable Skills. Powered by GPT Image 2.0 + Seedance 2.0, it’s your fully automated, personal AI Video Agent with FlovaAI Welcome to the future of AI-driven creation. #FlovaAI #AIAgent #Allinone

Say goodbye to complex prompts and fragmented editing software. Welcome to the Skill era of AI video. Now, you can deploy an entire creative workflow in a single click. Cinematic camera motion, precise pacing, bespoke visual styles, and editing logic are all pre-packaged into reusable Skills. Powered by GPT Image 2.0 + Seedance 2.0, it’s your fully automated, personal AI Video Agent with FlovaAI Welcome to the future of AI-driven creation. #FlovaAI #AIAgent #Allinone

Yaseen Khan Gul

259,382 次观看 • 4 个月前

.Robert Garcia on Fox's deceptive Trump-Epstein edit: "What we're asking of Fox is... was there some type of conversation between the campaign and the network and in the editing process? Did the campaign direct them to edit the response a certain way? Was there written or email communication? What don't we know? And why is the story with Epstein changing day to day?"

.Robert Garcia on Fox's deceptive Trump-Epstein edit: "What we're asking of Fox is... was there some type of conversation between the campaign and the network and in the editing process? Did the campaign direct them to edit the response a certain way? Was there written or email communication? What don't we know? And why is the story with Epstein changing day to day?"

Brian Tyler Cohen

67,795 次观看 • 1 年前

GPT-6 Astra is changing how I use CapCut PC. The biggest shift is customization. Instead of asking AI to make a finished video, I can describe the exact editing assets and visual style I want, then bring them into CapCut PC for the actual edit. #GPT6Astra #CapCutPC

GPT-6 Astra is changing how I use CapCut PC. The biggest shift is customization. Instead of asking AI to make a finished video, I can describe the exact editing assets and visual style I want, then bring them into CapCut PC for the actual edit. #GPT6Astra #CapCutPC

SANI BULA

118,283 次观看 • 7 天前