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Wan Animate 2 is in ComfyUI with native support he driving video goes straight into the transformer. No motion extractor in the middle, so nothing gets flattened before generation starts — subtle expression, finger position, all of it survives. Better motion. Stronger identity. And the camera is yours: viewpoint... show more

ComfyUI

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25,141 次观看 • 3 天前 •via X (Twitter)

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🚨 Wan Motion is now live on fal ! An optimized version of Wan 2.2 Animate. 🎬 Transfer motion from any driving video to a single reference image 🎭 Built-in motion retargeting, adapts to different body proportions ✨ Optional Flux 2 Edit identity enhancement for sharper character preservation 💸 Just $0.06/s for 720p, the cheapest motion transfer API available

🚨 Wan Motion is now live on fal ! An optimized version of Wan 2.2 Animate. 🎬 Transfer motion from any driving video to a single reference image 🎭 Built-in motion retargeting, adapts to different body proportions ✨ Optional Flux 2 Edit identity enhancement for sharper character preservation 💸 Just $0.06/s for 720p, the cheapest motion transfer API available

fal

13,253 次观看 • 5 个月前

Real Human support for Seedance 2.0 is now available in ComfyUI. Unlock real human video generation with Seedance 2.0 now in ComfyUI. This unlocks real-person video generation with consistent identity and authentic facial expressions — after a one-time verification.

Real Human support for Seedance 2.0 is now available in ComfyUI. Unlock real human video generation with Seedance 2.0 now in ComfyUI. This unlocks real-person video generation with consistent identity and authentic facial expressions — after a one-time verification.

ComfyUI

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How to animate a photo with Grok imagine : 1-import the photo in Grok imagine 2-Click on Animate That's it ! And the result is sublime. See video 👍 Original photo below⏬

How to animate a photo with Grok imagine : 1-import the photo in Grok imagine 2-Click on Animate That's it ! And the result is sublime. See video 👍 Original photo below⏬

Déborah

850,687 次观看 • 1 年前

The Grok Imagine updates keep accelerating. Reference-to-Video + Video Extend just landed! Live in ComfyUI on Day 0. The generation speed alone makes it worth trying. Reference-to-Video: add up to 7 reference images to generate consistent characters and scenes Video Extend: seamlessly extend any video with smooth, natural motion Workflows and more details about the Grok updates below ⬇️

The Grok Imagine updates keep accelerating. Reference-to-Video + Video Extend just landed! Live in ComfyUI on Day 0. The generation speed alone makes it worth trying. Reference-to-Video: add up to 7 reference images to generate consistent characters and scenes Video Extend: seamlessly extend any video with smooth, natural motion Workflows and more details about the Grok updates below ⬇️

ComfyUI

34,555 次观看 • 4 个月前

The next frontier in AI video isn't better motion - it's better perspective. What used to require a full production setup, camera rig, location scout, multi-shot choreography - now starts with a single image inside Comfy. Creator seungho__yeo ( IG ) used Hyper POV + Seedance 2 to build a complete cinematic space traversal from one still frame: → Aggressive first-person orbit through the full environment → Fly-through movement that inhabits the space, not just records it → Motion blur and single-take continuity that holds the cinematic feel end to end → No cuts. No rig. One image as the source of truth. This is what perspective design looks like at the new baseline.

The next frontier in AI video isn't better motion - it's better perspective. What used to require a full production setup, camera rig, location scout, multi-shot choreography - now starts with a single image inside Comfy. Creator seungho__yeo ( IG ) used Hyper POV + Seedance 2 to build a complete cinematic space traversal from one still frame: → Aggressive first-person orbit through the full environment → Fly-through movement that inhabits the space, not just records it → Motion blur and single-take continuity that holds the cinematic feel end to end → No cuts. No rig. One image as the source of truth. This is what perspective design looks like at the new baseline.

ComfyUI

33,964 次观看 • 1 个月前

Turn one idea into a complete storyboard, then animate it in Seedance 2.0 using a reference image. This ComfyUI workflow uses LLMs to build storyboard scenes and prepare them for Seedance, making the jump from concept to animation much easier. Link below 👇

Turn one idea into a complete storyboard, then animate it in Seedance 2.0 using a reference image. This ComfyUI workflow uses LLMs to build storyboard scenes and prepare them for Seedance, making the jump from concept to animation much easier. Link below 👇

ComfyUI

73,884 次观看 • 2 个月前

Eye gaze fully fixed in Comfy now for Wan Animate. All you need to do is use the pre processing nodes I linked in the first comment below for your pose / face crop. Tested this against Wan's Native source code and it is indeed 1:1 functioning now this was 300+ frames

Eye gaze fully fixed in Comfy now for Wan Animate. All you need to do is use the pre processing nodes I linked in the first comment below for your pose / face crop. Tested this against Wan's Native source code and it is indeed 1:1 functioning now this was 300+ frames

A.I.Warper

34,855 次观看 • 10 个月前

You can create split-stack videos like this in one click with the link below.👇 In the simple version, all you have to do is upload an image and it handles everything for you. But if you want more control, you can jump into graph mode and tweak each parameter to get more detailed, custom results.

You can create split-stack videos like this in one click with the link below.👇 In the simple version, all you have to do is upload an image and it handles everything for you. But if you want more control, you can jump into graph mode and tweak each parameter to get more detailed, custom results.

ComfyUI

28,215 次观看 • 4 个月前

Turn a simple idea into a storyboard, then generate the video with Seedance 2.0. This ComfyUI workflow uses LLMs to structure prompts into storyboard-ready scenes that define how the video should play out. The storyboard can be paired with reference images and sent directly into Seedance for video generation. To try this workflow, link below 👇

Turn a simple idea into a storyboard, then generate the video with Seedance 2.0. This ComfyUI workflow uses LLMs to structure prompts into storyboard-ready scenes that define how the video should play out. The storyboard can be paired with reference images and sent directly into Seedance for video generation. To try this workflow, link below 👇

ComfyUI

33,901 次观看 • 2 个月前

Using Blender camera animation with Seedance 2.0 gives you a lot more control over your shots. By keyframing the camera in Blender, you can precisely define movement, rotation, and framing, then bring that motion into Seedance. It's a great workflow for previs-style blockouts or any shot where intentional camera movement matters. To try this workflow, link below 👇

Using Blender camera animation with Seedance 2.0 gives you a lot more control over your shots. By keyframing the camera in Blender, you can precisely define movement, rotation, and framing, then bring that motion into Seedance. It's a great workflow for previs-style blockouts or any shot where intentional camera movement matters. To try this workflow, link below 👇

ComfyUI

14,712 次观看 • 1 个月前

A guy from China is reshaping glowing particles into a jellyfish, a statue, a dragon, and a samurai just by moving his hands in front of a camera No controller, no mouse, no keyboard Just a camera reading his hand position and a particle system recalculating thousands of points in real time, morphing one shape straight into the next Clench both fists at the end, and everything collapses into nothing This is running live at 60fps, not pre-rendered The entire scene sits inside a wireframe box tracking every motion as raw geometry reshapes into whatever his hands tell it to become

A guy from China is reshaping glowing particles into a jellyfish, a statue, a dragon, and a samurai just by moving his hands in front of a camera No controller, no mouse, no keyboard Just a camera reading his hand position and a particle system recalculating thousands of points in real time, morphing one shape straight into the next Clench both fists at the end, and everything collapses into nothing This is running live at 60fps, not pre-rendered The entire scene sits inside a wireframe box tracking every motion as raw geometry reshapes into whatever his hands tell it to become

pulmencr

50,834 次观看 • 22 天前

Unreal 5.6 Motion tools let you send shockwaves through the environment in the style of Quantum Break, all procedural & no sim. In real-time and now officially supported for packaged game projects. We set this up inside Unreal Motion 5.6, link is below.

Unreal 5.6 Motion tools let you send shockwaves through the environment in the style of Quantum Break, all procedural & no sim. In real-time and now officially supported for packaged game projects. We set this up inside Unreal Motion 5.6, link is below.

Jesse Pitela

170,520 次观看 • 1 年前

Create a storyboard, feed it into Seedance 2.0, and let an LLM analyze the storyboard to generate better prompts. A practical way to turn visual planning into more controlled and consistent video generation. To try this workflow, link below 👇

Create a storyboard, feed it into Seedance 2.0, and let an LLM analyze the storyboard to generate better prompts. A practical way to turn visual planning into more controlled and consistent video generation. To try this workflow, link below 👇

ComfyUI

34,996 次观看 • 1 个月前

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

Nexlow

85,184 次观看 • 28 天前

LTX-2.3 is now supported in ComfyUI Major quality improvements from Lightricks: - Finer visual details - Better 9:16 portrait videos - Cleaner audio - More stable image-to-video motion - Smarter prompt understanding - Clearer text rendering Examples 🧵👇

LTX-2.3 is now supported in ComfyUI Major quality improvements from Lightricks: - Finer visual details - Better 9:16 portrait videos - Cleaner audio - More stable image-to-video motion - Smarter prompt understanding - Clearer text rendering Examples 🧵👇

ComfyUI

53,339 次观看 • 5 个月前

This ComfyUI workflow lets you draw lines and annotations to guide motion, define where actions should happen, and influence movement throughout a scene. An integrated LLM translates those annotations into prompt instructions, making it easier to direct motion visually instead of relying entirely on text prompts. The workflow works best with clear, intentional paths, while more complex routes with frequent direction changes can be harder to follow consistently. To try this workflow, link below 👇

This ComfyUI workflow lets you draw lines and annotations to guide motion, define where actions should happen, and influence movement throughout a scene. An integrated LLM translates those annotations into prompt instructions, making it easier to direct motion visually instead of relying entirely on text prompts. The workflow works best with clear, intentional paths, while more complex routes with frequent direction changes can be harder to follow consistently. To try this workflow, link below 👇

ComfyUI

44,319 次观看 • 1 个月前

Only one Adobe Firefly video prompt from our research hit production-ready on the first generation. Prompt in comments 👀 It looks you have to direct the camera as much as the model to get the most out of Firefly. Every other video session in our research needed a revision. Revising the first frame is where Firefly broke: >motion failures (temporal flicker, motion continuity, physics in motion) carried 60% of video's issue mix once designers re-prompted. TLDR: in Adobe Firefly, the camera does a lot of the work. Bake it into the first prompt and the video lands. Its by far the best time to be a creative.

Only one Adobe Firefly video prompt from our research hit production-ready on the first generation. Prompt in comments 👀 It looks you have to direct the camera as much as the model to get the most out of Firefly. Every other video session in our research needed a revision. Revising the first frame is where Firefly broke: >motion failures (temporal flicker, motion continuity, physics in motion) carried 60% of video's issue mix once designers re-prompted. TLDR: in Adobe Firefly, the camera does a lot of the work. Bake it into the first prompt and the video lands. Its by far the best time to be a creative.

ben @ CVPR

12,847 次观看 • 2 个月前

Krea 2 is back and this time the weights are OPEN. This open source release ships with two models designed to work together — Krea 2 RAW and Krea 2 Turbo. RAW is for training, Turbo is for inference.

Krea 2 is back and this time the weights are OPEN. This open source release ships with two models designed to work together — Krea 2 RAW and Krea 2 Turbo. RAW is for training, Turbo is for inference.

ComfyUI

32,394 次观看 • 1 个月前

🎉 The built-in node help menu is now available to everyone. 🔁 Just update your ComfyUI to the latest version and make sure the frontend is at least v1.22.2

🎉 The built-in node help menu is now available to everyone. 🔁 Just update your ComfyUI to the latest version and make sure the frontend is at least v1.22.2

ComfyUI

16,738 次观看 • 1 年前

If gravity were slightly stronger, the universe would collapse into a ball. If weaker, everything would fly apart, no stars, no planets, no life. Yet, here we are. The laws of the universe are precisely balanced. What are the odds of that? What are the odds that prophecy aligns? What are the odds that a black hole bends reality, and Omikami bends the future? What are the odds that a force so precise, so inevitable, is set in motion at just the right moment? Nothing is random. Nothing is accidental. The Creator set everything in motion with perfect precision. 🙏

If gravity were slightly stronger, the universe would collapse into a ball. If weaker, everything would fly apart, no stars, no planets, no life. Yet, here we are. The laws of the universe are precisely balanced. What are the odds of that? What are the odds that prophecy aligns? What are the odds that a black hole bends reality, and Omikami bends the future? What are the odds that a force so precise, so inevitable, is set in motion at just the right moment? Nothing is random. Nothing is accidental. The Creator set everything in motion with perfect precision. 🙏

Omikami

34,424 次观看 • 1 年前