Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

After extracting the depth video, the effect obtained by video referencing is very good. 1. Prepare the reference video 2. Extract the depth video 3. Prepare the character reference images 4. Input the extracted depth video and character reference images into seedance2, and you will get perfect results Complete... show more

SJinn Agent

1,798 subscribers

87,572 Aufrufe • vor 10 Tagen •via X (Twitter)

Kunst Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

1. Reference Video -> Convert to Depth Map 2. Depth Map -> Seedance 2.0 (Reference Video) 3. Add Reference Image 4. Set Duration / Resolution / Aspect 5. Pass Audio from Reference Video -> Final 6. Hit Run

1. Reference Video -> Convert to Depth Map 2. Depth Map -> Seedance 2.0 (Reference Video) 3. Add Reference Image 4. Set Duration / Resolution / Aspect 5. Pass Audio from Reference Video -> Final 6. Hit Run

Purz.ai

31,394 Aufrufe • vor 13 Tagen

🤯 Found another great use case for Depth today! I tried recreating this fashion transformation video with my own character, but the original character kept showing up. 🌟 So I switched the reference video to Depth, and it worked way better! Same motion and timing, but now I can use my own character and completely new outfits! Quick workflow in the comments Full Depth workflow in the quoted post 👇

🤯 Found another great use case for Depth today! I tried recreating this fashion transformation video with my own character, but the original character kept showing up. 🌟 So I switched the reference video to Depth, and it worked way better! Same motion and timing, but now I can use my own character and completely new outfits! Quick workflow in the comments Full Depth workflow in the quoted post 👇

Larus Canus

106,871 Aufrufe • vor 13 Tagen

Guys, Depth Map Control now live on PixVerse Mini Apps The workflow is quite easy: reference video -> depth map video -> reference image + depthvideo -> a video that follows motion and space more precisely. RT + Follow + Reply = 150 Credits in DMs (72H ONLY)

Guys, Depth Map Control now live on PixVerse Mini Apps The workflow is quite easy: reference video -> depth map video -> reference image + depthvideo -> a video that follows motion and space more precisely. RT + Follow + Reply = 150 Credits in DMs (72H ONLY)

PixVerse

402,773 Aufrufe • vor 6 Tagen

🤯 Depth can now recreate complex climbing and parkour motion this cleanly! Turned a fast climbing clip into a Depth motion reference, then swapped in a 20-year-old twin-tail student with a backpack while keeping the same concrete structure. Wall contact, weight shifts, jumps, climbing paths, and full-body movement all stay surprisingly clean and consistent! 🌟 Workflow: 1. Pick a reference clip under 15 seconds 2. Convert it to Depth with Depth Anything V2 3. Generate a new character + scene 4. Feed everything into Seedance with the prompt below 🌟 Depth video conversion: You can build a local Depth converter with Codex — prompt in the comments. Dance, martial arts, climbing, parkour, and other complex movements can all be transferred cleanly with Depth! Workflow + Prompt below 👇

🤯 Depth can now recreate complex climbing and parkour motion this cleanly! Turned a fast climbing clip into a Depth motion reference, then swapped in a 20-year-old twin-tail student with a backpack while keeping the same concrete structure. Wall contact, weight shifts, jumps, climbing paths, and full-body movement all stay surprisingly clean and consistent! 🌟 Workflow: 1. Pick a reference clip under 15 seconds 2. Convert it to Depth with Depth Anything V2 3. Generate a new character + scene 4. Feed everything into Seedance with the prompt below 🌟 Depth video conversion: You can build a local Depth converter with Codex — prompt in the comments. Dance, martial arts, climbing, parkour, and other complex movements can all be transferred cleanly with Depth! Workflow + Prompt below 👇

Larus Canus

97,984 Aufrufe • vor 10 Tagen

New fal workflow: video restyling with Video Depth Anything and Seedance 2.0 - Restyle the first frame into your target look - Extract consistent depth across the source video - Use that depth to guide Seedance 2.0 through the full sequence - Preserve the original motion and composition while transforming the visual style A simple workflow for turning existing footage into stylized video.

New fal workflow: video restyling with Video Depth Anything and Seedance 2.0 - Restyle the first frame into your target look - Extract consistent depth across the source video - Use that depth to guide Seedance 2.0 through the full sequence - Preserve the original motion and composition while transforming the visual style A simple workflow for turning existing footage into stylized video.

fal

10,909 Aufrufe • vor 15 Tagen

Let's create a music video with these characters. Used the Midjourney images directly into Seedance 2.0 and added the track I created in Suno as a blackout video reference. You can find the prompt below.

Let's create a music video with these characters. Used the Midjourney images directly into Seedance 2.0 and added the track I created in Suno as a blackout video reference. You can find the prompt below.

Kōda

28,140 Aufrufe • vor 10 Tagen

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

84,184 Aufrufe • vor 16 Tagen

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

33,569 Aufrufe • vor 1 Monat

Midjourney + GPT Image 2 + Seedance 2.0 - Prompt Share Zero Trace 1. Generate the character. - Midjourney v8.1: hacker girl --ar 2:3 --profile w9b13s1 --stylize 1000 2. Create a character sheet. 3. Create a storyboard using the character sheet as the character identity reference. 4. Create the final video using both the character sheet and storyboard as references. You can find the prompts below.

Kōda

40,012 Aufrufe • vor 2 Monaten

Nano Banana 2 now takes video as input 🍌 - Drop a video, get context-aware images out - Thumbnails & infographics generated from your footage - Character and style consistency across frames - Edit outputs with a reference image + prompt Feature available on Runware now

Nano Banana 2 now takes video as input 🍌 - Drop a video, get context-aware images out - Thumbnails & infographics generated from your footage - Character and style consistency across frames - Edit outputs with a reference image + prompt Feature available on Runware now

Runware

14,261 Aufrufe • vor 2 Monaten

Recreating a video's style normally takes hours of editing and iteration. With Wizstar_official Video Reference feature, I simply uploaded a reference video and let AI do the work. The results were surprisingly close to the original feel. 👇

Recreating a video's style normally takes hours of editing and iteration. With Wizstar_official Video Reference feature, I simply uploaded a reference video and let AI do the work. The results were surprisingly close to the original feel. 👇

RAVI KUMAR SAHU

73,895 Aufrufe • vor 1 Monat

Seedance 2.0 - Advanced Workflow Series 🧵 7. Storyboard to Video Provide basic storyboards along with a character sheet and environment images. Seedance will create a complete sequence by connecting the shots, with cuts between the different panels. Workflow + Prompts 👇

Seedance 2.0 - Advanced Workflow Series 🧵 7. Storyboard to Video Provide basic storyboards along with a character sheet and environment images. Seedance will create a complete sequence by connecting the shots, with cuts between the different panels. Workflow + Prompts 👇

VoxelPlot

67,015 Aufrufe • vor 3 Monaten

KAIYA: The Wolf Blade GPT Images 2 + Seedance 2 is an insane combo. Created the entire character sheet with GPT Images… Then turned it into a cinematic video using Seedance. this will change how we create AI videos... Prompts below: ↓

KAIYA: The Wolf Blade GPT Images 2 + Seedance 2 is an insane combo. Created the entire character sheet with GPT Images… Then turned it into a cinematic video using Seedance. this will change how we create AI videos... Prompts below: ↓

ZOYA ✪

35,994 Aufrufe • vor 3 Monaten

Starting from only a few reference images… Magnific Spaces turned them into a complete cinematic video sequence. The final result keeps the same mood, style, and visual identity surprisingly well across the entire clip. Magnific (formerly Freepik) #Magnific

Starting from only a few reference images… Magnific Spaces turned them into a complete cinematic video sequence. The final result keeps the same mood, style, and visual identity surprisingly well across the entire clip. Magnific (formerly Freepik) #Magnific

NeuraFlow AI

99,293 Aufrufe • vor 2 Monaten

Kling 2.6 Motion Capture is so good. It's a huge leap forward. We've been able to do motion capture with AI for a while, but the quality bump finally made this approach useful. Here are the steps: - Get a reference video - record it or get a stock video - Grab the start frame of that video - Edit it using Nano Banana Pro. Ask to replace character and background. - Select the Kling 2.6 Motion Capture model in the video generator on Freepik (now Magnific) - Upload reference video + set the edited start frame - Video prompt can be simple e.g. "Gandalf dancing"

Kling 2.6 Motion Capture is so good. It's a huge leap forward. We've been able to do motion capture with AI for a while, but the quality bump finally made this approach useful. Here are the steps: - Get a reference video - record it or get a stock video - Grab the start frame of that video - Edit it using Nano Banana Pro. Ask to replace character and background. - Select the Kling 2.6 Motion Capture model in the video generator on Freepik (now Magnific) - Upload reference video + set the edited start frame - Video prompt can be simple e.g. "Gandalf dancing"

Martin LeBlanc

35,226 Aufrufe • vor 7 Monaten

For the facial animations in my game, I use a technique that yields results similar to L.A. Noire. To keep it simple: I first generate a facial animation video using AI like LTX 2. Then, I create a video depth map from that animation and project it onto a face mask. Using vertex displacement, the depth map dynamically deforms the face as the character speaks. The result looks good in standalone VR. I actually created this workflow long time ago:

For the facial animations in my game, I use a technique that yields results similar to L.A. Noire. To keep it simple: I first generate a facial animation video using AI like LTX 2. Then, I create a video depth map from that animation and project it onto a face mask. Using vertex displacement, the depth map dynamically deforms the face as the character speaks. The result looks good in standalone VR. I actually created this workflow long time ago:

Alex

48,296 Aufrufe • vor 4 Monaten

Video reference is crucial for all animators, even professionals. There’s always something interesting to discover in the reference, and iterating on it is also quick.

Video reference is crucial for all animators, even professionals. There’s always something interesting to discover in the reference, and iterating on it is also quick.

Ehsan

36,084 Aufrufe • vor 1 Jahr

AI video consistency starts before motion. For this 15s cooking short, we first generated a clean character storyboard in PixVerse. Then used it as reference for the video. Same character. Clear story beats. Camera direction. Motion details. RT + Follow + Reply = Storyboard Workflow

AI video consistency starts before motion. For this 15s cooking short, we first generated a clean character storyboard in PixVerse. Then used it as reference for the video. Same character. Clear story beats. Camera direction. Motion details. RT + Follow + Reply = Storyboard Workflow

PixVerse

22,297 Aufrufe • vor 2 Monaten

Seedance 2.0 - Advanced Workflow Series 9. Rendering Engine Upload a video of a clay render of your scene. Provide a reference of the first frame with textures and lighting. Seedance will render the entire video with textures and lighting. Workflow + Prompts 👇

Seedance 2.0 - Advanced Workflow Series 9. Rendering Engine Upload a video of a clay render of your scene. Provide a reference of the first frame with textures and lighting. Seedance will render the entire video with textures and lighting. Workflow + Prompts 👇

VoxelPlot

48,827 Aufrufe • vor 3 Monaten

This is Ray3.14 with Image-to-Video. Now in native 1080p, transform still images into cinematic motion. Create depth, parallax, and scene structure with detailed movement, transforming images into expressive, dimensional video with visual clarity. Available now in Dream Machine.

This is Ray3.14 with Image-to-Video. Now in native 1080p, transform still images into cinematic motion. Create depth, parallax, and scene structure with detailed movement, transforming images into expressive, dimensional video with visual clarity. Available now in Dream Machine.

Luma

14,005 Aufrufe • vor 6 Monaten