Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

🤯 Depth videos perfectly solve false flags on reference videos — and can perfectly recreate both martial arts and dance! Turned a Guan Dao martial arts clip into a Depth motion reference, swapped the fighter for a market auntie, and moved the scene to a T-junction inside a local... market 🤣 🌟 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. This goes way beyond trending dances. Martial arts, polearms, and other complex movements can all be transferred cleanly with Depth! Workflow + Prompt below 👇show more

Larus Canus

32,730 subscribers

46,212 views • 3 days ago •via X (Twitter)

Arts Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

🤯 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

67,672 views • 1 day ago

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

10,720 views • 6 days ago

OpenArt just launched Seedance 2.0 for Teams and Enterprise It delivers the kind of camera control, reference depth, and cinematic storytelling most AI video tools still struggle to offer You can use up to 9 image references, 3 videos, and 3 audio files to build multi-shot scenes with far more control than a normal prompt 10 prompts worth saving:

OpenArt just launched Seedance 2.0 for Teams and Enterprise It delivers the kind of camera control, reference depth, and cinematic storytelling most AI video tools still struggle to offer You can use up to 9 image references, 3 videos, and 3 audio files to build multi-shot scenes with far more control than a normal prompt 10 prompts worth saving:

Amira Zairi

40,069 views • 3 months ago

Create a short film like this in just 1 minute with GPT Image 2.0 + Seedance 2.0. GPT Image 2.0 can naturally combine multiple photos into one single image, while Seedance 2.0 can use that image as a reference to automatically separate the scenes, generate a coherent video sequence, and add suitable background music. This workflow greatly improves the overall creative efficiency. When using this method, simply provide the merged image as a reference for Seedance 2.0 and briefly describe each scene with a simple prompt. This can significantly increase the success rate of the final video. All of the above was created on GPT Image Prompt: Seedance Prompt:

Create a short film like this in just 1 minute with GPT Image 2.0 + Seedance 2.0. GPT Image 2.0 can naturally combine multiple photos into one single image, while Seedance 2.0 can use that image as a reference to automatically separate the scenes, generate a coherent video sequence, and add suitable background music. This workflow greatly improves the overall creative efficiency. When using this method, simply provide the merged image as a reference for Seedance 2.0 and briefly describe each scene with a simple prompt. This can significantly increase the success rate of the final video. All of the above was created on GPT Image Prompt: Seedance Prompt:

Midjourney Sref and prompt Library

40,572 views • 2 months ago

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 views • 1 month ago

Diving into a new hobby? 🧠 With Gemini Deep Research you can build an in-depth & personalized beginner's guide on nearly anything you're curious about. Just select Deep Research from the prompt bar or model picker dropdown to get started and let Gemini do the research for you:

Diving into a new hobby? 🧠 With Gemini Deep Research you can build an in-depth & personalized beginner's guide on nearly anything you're curious about. Just select Deep Research from the prompt bar or model picker dropdown to get started and let Gemini do the research for you:

Google Gemini

32,143 views • 1 year ago

Seedance 2 ile dövüş sanatları videosu:🥊 1. Referans combat choreography sheet’i yükle 📄 2. Karakter / savaşçı görselini yükle 🖤 3. Hareketleri tek promptla akıt 🎬 9 adımlık dövüş planı ➜ kesintisiz aksiyon videosu 🔥 Guard stance → jab → cross punch → spinning kick finish 🚀 Prompt takibi gerçekten başka seviye. Prompt: 👇 Create a seamless 15-second women’s combat sports choreography video using the uploaded 9-step martial arts reference sheet only for movement order and body-action structure. REFERENCE IMAGE: Use the 9-step martial arts sheet only as choreography reference. Do not recreate the sheet, text, arrows, numbers, or panel layout. MOVEMENT STYLE: Smooth, athletic, feminine, stylish, and continuous. The routine should feel like a choreographed martial arts flow, not separate tutorial poses. Every move should naturally connect to the next.

Seedance 2 ile dövüş sanatları videosu:🥊 1. Referans combat choreography sheet’i yükle 📄 2. Karakter / savaşçı görselini yükle 🖤 3. Hareketleri tek promptla akıt 🎬 9 adımlık dövüş planı ➜ kesintisiz aksiyon videosu 🔥 Guard stance → jab → cross punch → spinning kick finish 🚀 Prompt takibi gerçekten başka seviye. Prompt: 👇 Create a seamless 15-second women’s combat sports choreography video using the uploaded 9-step martial arts reference sheet only for movement order and body-action structure. REFERENCE IMAGE: Use the 9-step martial arts sheet only as choreography reference. Do not recreate the sheet, text, arrows, numbers, or panel layout. MOVEMENT STYLE: Smooth, athletic, feminine, stylish, and continuous. The routine should feel like a choreographed martial arts flow, not separate tutorial poses. Every move should naturally connect to the next.

ai.gezgini

17,891 views • 2 months ago

GPT image 2.0 combined with Seedance 2.0 is changing how animated videos are created. With a single prompt like the one below , AI can generate an entire storyboard and turn it into a cinematic 2D animation, complete with expressive characters, smooth motion, realistic physics, comedy, and perfectly timed action.

GPT image 2.0 combined with Seedance 2.0 is changing how animated videos are created. With a single prompt like the one below , AI can generate an entire storyboard and turn it into a cinematic 2D animation, complete with expressive characters, smooth motion, realistic physics, comedy, and perfectly timed action.

FATHELA ESQ

47,447 views • 8 days ago

🤯 K-pop meets a full-on water obstacle challenge! 🌊 Made with Seedance in a Korean variety show style Full workflow: 1. 4:3 character sheet for the girl, swimsuit and expressions 2. 3:1 wide course image for the pool set, audience and obstacles 3. Seedance image-to-video for the full run and final splash From the confident start to the final fall, the character and scene consistency held up really well! Workflow + Prompt in the comments 👇

🤯 K-pop meets a full-on water obstacle challenge! 🌊 Made with Seedance in a Korean variety show style Full workflow: 1. 4:3 character sheet for the girl, swimsuit and expressions 2. 3:1 wide course image for the pool set, audience and obstacles 3. Seedance image-to-video for the full run and final splash From the confident start to the final fall, the character and scene consistency held up really well! Workflow + Prompt in the comments 👇

Larus Canus

45,040 views • 5 days ago

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

39,609 views • 1 month ago

Depth Any Video with Scalable Synthetic Data AI physicists and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.

Depth Any Video with Scalable Synthetic Data AI physicists and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.

MrNeRF

27,428 views • 1 year ago

GPT’s Images2 × Seedance 2.0 is an absolute game changer ✅ Prompt "Generate a storyboard using a 3×3 grid layout." 1️⃣ Start by combining your concept with the ✅ prompt 2️⃣ Extract a detailed prompt from the result in step 1 3️⃣ Use that image as a reference inside Seedance 4️⃣ Paste the prompt from step 2 into Seedance The limitation? Video flexibility isn’t great yet, so outputs can feel a bit generic. With multiple scenes, the camera work often lacks impact. The key is to experiment with fewer or adjusted grid layouts to get better results.

GPT’s Images2 × Seedance 2.0 is an absolute game changer ✅ Prompt "Generate a storyboard using a 3×3 grid layout." 1️⃣ Start by combining your concept with the ✅ prompt 2️⃣ Extract a detailed prompt from the result in step 1 3️⃣ Use that image as a reference inside Seedance 4️⃣ Paste the prompt from step 2 into Seedance The limitation? Video flexibility isn’t great yet, so outputs can feel a bit generic. With multiple scenes, the camera work often lacks impact. The key is to experiment with fewer or adjusted grid layouts to get better results.

Studio Tora

27,797 views • 3 months ago

This opens up a completely new workflow for artists when it comes to shooting music videos. Take one performance and place it into multiple locations from multiple angles. By combining Kling 2.6 Motion Control with our Multi-Angle Fashion Shoot agent, we generate multiple angles from a single reference image and use them to drive the performance. Full workflow + agent below 👇

This opens up a completely new workflow for artists when it comes to shooting music videos. Take one performance and place it into multiple locations from multiple angles. By combining Kling 2.6 Motion Control with our Multi-Angle Fashion Shoot agent, we generate multiple angles from a single reference image and use them to drive the performance. Full workflow + agent below 👇

GLIF

58,538 views • 6 months ago

You can generate endless short animated stories with this method using just a reference image. A mini prompt for Seedance 2.0 Mini: Funny English narrative story between the girl and the silly donkey named biscuits, presented in cinematic coverage with dynamic angles - 8 Shots Midjourney v8.2 Prompt for reference image, you don't need to tag it. girl with silly donkey --ar 16:9 --sref 3732263062 --profile txgf1m1 --stylize 1000 --preview

Kōda

12,339 views • 26 days ago

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

42,561 views • 1 month ago

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

12,846 views • 22 days ago

Agent Escort Mission made with GPT Image 2 + Seedance 2 on OpenArt AI video can already do product placement in a fun way. Just replace the object and make the whole scene revolve around it. Prompt below ↓

Agent Escort Mission made with GPT Image 2 + Seedance 2 on OpenArt AI video can already do product placement in a fun way. Just replace the object and make the whole scene revolve around it. Prompt below ↓

Latte

17,635 views • 2 months ago

Just generated this clip in 30 seconds 1. record a vertical video 2. use MakeUGC to generate an AI character 3. use Elevenlabs to convert my voice to match the girl's voice 4. replace the AI character with me on the video comment "Motion" and I'll send you the full workflow

Just generated this clip in 30 seconds 1. record a vertical video 2. use MakeUGC to generate an AI character 3. use Elevenlabs to convert my voice to match the girl's voice 4. replace the AI character with me on the video comment "Motion" and I'll send you the full workflow

Cas.Fyn

79,627 views • 5 months ago

Happy Horse 1.0 vs Seedance 2.0 AI video just took a massive leap and the difference is not close Happy Horse 1.0: > solid motion consistency > decent scene handling > good for standard video generation Seedance 2.0: > cinematic-level detail and depth > motion feels physically real > lighting, texture, and movement in a completely different tier > the gap between "AI video" and "actual video" is closing fast you can generate both right now on EaseMate AI_Official

Happy Horse 1.0 vs Seedance 2.0 AI video just took a massive leap and the difference is not close Happy Horse 1.0: > solid motion consistency > decent scene handling > good for standard video generation Seedance 2.0: > cinematic-level detail and depth > motion feels physically real > lighting, texture, and movement in a completely different tier > the gap between "AI video" and "actual video" is closing fast you can generate both right now on EaseMate AI_Official

Abdul Șhakoor

43,307 views • 2 months ago

🔥 Phoenix is officially live on Solaris AI Flow. You can now trade Phoenix perps inside a Solaris AI workflow. No code. Drop a node onto the canvas, pick an operation, and wire it to anything: AI signals, price feeds, schedules, alerts. The full order-book DEX from Ellipsis Labs, now programmable. Built so you can trade with confidence: ✦ Paper mode is on by default. Every order is checked and simulated against the live order book, real depth and real slippage, but nothing is signed or broadcast. ✦ Paper behaves exactly like Live. If an order would be rejected on-chain, it is rejected in simulation too. No false fills, no surprises. ✦ Going Live is one switch, and it asks for confirmation before any real funds move. Build it. Test it. Trade it. A full perps strategy, proven on paper before a single dollar moves. 30 operations in one node: ✦ Read live markets, order book depth, candles, and funding rates ✦ Track your positions, collateral, and PnL, realized and unrealized ✦ Place limit, market, and stop-loss orders, plus conditional triggers ✦ Cancel orders, manage margin, and move collateral, all from the workflow No scripts. No backend. No terminal to babysit. Just a workflow that trades. You can try it for free. Demo + Link down below 👇

🔥 Phoenix is officially live on Solaris AI Flow. You can now trade Phoenix perps inside a Solaris AI workflow. No code. Drop a node onto the canvas, pick an operation, and wire it to anything: AI signals, price feeds, schedules, alerts. The full order-book DEX from Ellipsis Labs, now programmable. Built so you can trade with confidence: ✦ Paper mode is on by default. Every order is checked and simulated against the live order book, real depth and real slippage, but nothing is signed or broadcast. ✦ Paper behaves exactly like Live. If an order would be rejected on-chain, it is rejected in simulation too. No false fills, no surprises. ✦ Going Live is one switch, and it asks for confirmation before any real funds move. Build it. Test it. Trade it. A full perps strategy, proven on paper before a single dollar moves. 30 operations in one node: ✦ Read live markets, order book depth, candles, and funding rates ✦ Track your positions, collateral, and PnL, realized and unrealized ✦ Place limit, market, and stop-loss orders, plus conditional triggers ✦ Cancel orders, manage margin, and move collateral, all from the workflow No scripts. No backend. No terminal to babysit. Just a workflow that trades. You can try it for free. Demo + Link down below 👇

Solaris AI

10,030 views • 2 months ago