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Creator seungho__yeo ( IG ) built an entire anime-inspired 2D motion sequence - storyboard to final render inside Comfy. seungho__yeo created this workflow while creator whatzuwant ( IG ) created the fully AI generated anime + sound design. pipeline: → Poster art → Storyboard frames → Transitions + animation...

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ComfyUI

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29,314 Aufrufe • vor 2 Monaten •via X (Twitter)

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Creator seungho__yeo ( IG ) built a morphing transition workflow on ComfyUI Cloud + Seedance 2 → seamless frame blending → character consistency preserved → cinematic This is pretty sick! 🔥
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Creator seungho__yeo ( IG ) has been architecting a workflow that doesn't just generate images - it builds an entire visual universe. Environment Board → Fashion Board → Depth Extraction → Seedance Animation → Kinetic Edit One workflow. One visual language. A full New York sequence - Manhattan streets, yellow cabs, subway stations, rooftop editorials - animated and cut with crash zooms, hyperlapses, infinite zooms, and motion blur smears. The insight: stop thinking in single images. Start designing asset collections. The more insert shots, props, fashion details, and architecture you build upfront, the more powerful the final edit becomes.
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Creator seungho__yeo ( IG ) has been architecting a workflow that doesn't just generate images - it builds an entire visual universe. Environment Board → Fashion Board → Depth Extraction → Seedance Animation → Kinetic Edit One workflow. One visual language. A full New York sequence - Manhattan streets, yellow cabs, subway stations, rooftop editorials - animated and cut with crash zooms, hyperlapses, infinite zooms, and motion blur smears. The insight: stop thinking in single images. Start designing asset collections. The more insert shots, props, fashion details, and architecture you build upfront, the more powerful the final edit becomes.
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Creator seungho__yeo ( IG ) has been architecting a workflow that doesn't just generate images - it builds an entire visual universe. Environment Board → Fashion Board → Depth Extraction → Seedance Animation → Kinetic Edit One workflow. One visual language. A full New York sequence - Manhattan streets, yellow cabs, subway stations, rooftop editorials - animated and cut with crash zooms, hyperlapses, infinite zooms, and motion blur smears. The insight: stop thinking in single images. Start designing asset collections. The more insert shots, props, fashion details, and architecture you build upfront, the more powerful the final edit becomes.

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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 👇
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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 👇

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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 👇
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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 👇

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Music video test in MiniMax H3. Five generated reference stills, one subject, four locations,j plus an audio track, all in a single context. It returned the location cuts already in the clip. To try this workflow, comment 'Comfy' and we'll send it to you! 🔗
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Incredible. I’m honestly still trying to process how good this looks. This entire animation was created from just a single prompt in Seedance 2.0, and it only took a few minutes. The visual quality, the sound design, the pacing — everything feels polished and intentional. It genuinely doesn’t look like something generated by AI. It feels like a real anime scene. Anya Forger looks truly furious. The expressions, the weight behind the movements, the raw intensity — it all feels alive. It’s the kind of scene that makes you forget how it was made and just enjoy what you’re watching.
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I just dropped myself into a Taylor Swift-style music video without writing a single prompt, timeline, or storyboard. I uploaded one photo and the song. That's it. Atlabs AI took over from there: • Built the character sheet • Planned the scenes • Generated the prompts • Synced every cut to the beat • Delivered a finished edit Most AI video tools promise automation, but the tradeoff is usually creative control. This was the opposite. The agents handled the production work while I focused on direction. Every scene, transition, framing choice, and creative decision stayed in my hands. When the edit was ready, I could jump in, swap shots, rework sequences, change the mood, and fine-tune the story. It felt less like using a tool and more like working with an AI production crew. We're moving beyond prompting. The next wave is directing autonomous creative workflows that understand the music, build the narrative, and still leave the final call to you. Character: ChatGPT Image Video: Seedance This is the most fun I've had making a music video in a long time.
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I just dropped myself into a Taylor Swift-style music video without writing a single prompt, timeline, or storyboard. I uploaded one photo and the song. That's it. Atlabs AI took over from there: • Built the character sheet • Planned the scenes • Generated the prompts • Synced every cut to the beat • Delivered a finished edit Most AI video tools promise automation, but the tradeoff is usually creative control. This was the opposite. The agents handled the production work while I focused on direction. Every scene, transition, framing choice, and creative decision stayed in my hands. When the edit was ready, I could jump in, swap shots, rework sequences, change the mood, and fine-tune the story. It felt less like using a tool and more like working with an AI production crew. We're moving beyond prompting. The next wave is directing autonomous creative workflows that understand the music, build the narrative, and still leave the final call to you. Character: ChatGPT Image Video: Seedance This is the most fun I've had making a music video in a long time.

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SOMEONE JUST BUILT A PERSONAL AI DASHBOARD WITH CLAUDE AND IT DOES NOT FEEL LIKE A TOOL. It feels like an operating system for their entire life. One screen. Their calendar. Their tasks. Their goals. Their content pipeline. Their finances. Their health metrics. All connected. All updated in real time. All queryable in plain English. Not ten apps talking past each other. One intelligent surface that knows everything and surfaces what matters. They described what they wanted to Claude Design. Claude built the entire interface. Then they connected it to Opus 4.7 as the reasoning layer. Now instead of opening five apps to answer one question they just ask the dashboard. This is what personal computing looks like when the interface finally understands you. The people building their own AI OS right now will look back at this moment the way the first iPhone users looked back at 2007. You are early.
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SOMEONE JUST BUILT A PERSONAL AI DASHBOARD WITH CLAUDE AND IT DOES NOT FEEL LIKE A TOOL. It feels like an operating system for their entire life. One screen. Their calendar. Their tasks. Their goals. Their content pipeline. Their finances. Their health metrics. All connected. All updated in real time. All queryable in plain English. Not ten apps talking past each other. One intelligent surface that knows everything and surfaces what matters. They described what they wanted to Claude Design. Claude built the entire interface. Then they connected it to Opus 4.7 as the reasoning layer. Now instead of opening five apps to answer one question they just ask the dashboard. This is what personal computing looks like when the interface finally understands you. The people building their own AI OS right now will look back at this moment the way the first iPhone users looked back at 2007. You are early.

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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 👇
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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 👇

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I showed this video to a few friends before telling them it was AI. Every single one believed it was a real creator. They thought someone had picked up a camera, filmed the shots, recorded the voiceover, and edited everything together. None of that happened. The person isn't real. The voice isn't real. The video wasn't filmed. The entire thing was created using Arcads AI. What's fascinating isn't just how realistic the face looks—it's the tiny details. The natural expressions, the eye contact, the pacing, the body language, and the way everything comes together to feel like authentic UGC. We're moving into a world where creating high-quality content no longer requires a camera, actors, or a production team. If you have an idea, AI can turn it into a video in minutes. This technology is improving incredibly fast, and the gap between AI-generated content and traditional creator content is getting smaller with every update. If you're a founder, marketer, or creator, it's worth paying attention. Comment "Send" and I'll share the exact workflow I used to create this video.
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I showed this video to a few friends before telling them it was AI. Every single one believed it was a real creator. They thought someone had picked up a camera, filmed the shots, recorded the voiceover, and edited everything together. None of that happened. The person isn't real. The voice isn't real. The video wasn't filmed. The entire thing was created using Arcads AI. What's fascinating isn't just how realistic the face looks—it's the tiny details. The natural expressions, the eye contact, the pacing, the body language, and the way everything comes together to feel like authentic UGC. We're moving into a world where creating high-quality content no longer requires a camera, actors, or a production team. If you have an idea, AI can turn it into a video in minutes. This technology is improving incredibly fast, and the gap between AI-generated content and traditional creator content is getting smaller with every update. If you're a founder, marketer, or creator, it's worth paying attention. Comment "Send" and I'll share the exact workflow I used to create this video.

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mj style creator → 3×3 grid with nano banana pro → turn it into motion with hailuo 2.3 → final polish using topaz astra this simple workflow helps you think visually before you over generate. starting with a 3×3 grid lets you explore composition, mood and performance in one pass, instead of guessing shot by shot. from there, it’s much easier to choose which frames are worth pushing further, test variations and maintain consistency across scenes. turns your ideas into a clear live storyboard before moving into a full motion. great for a/b testing shots, refining actions and building stronger cinematic sequences with intention. made w x Hailuo AI-MiniMax Hub x Topaz Labs the guide structure is the same as the one i shared before ⬇️
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mj style creator → 3×3 grid with nano banana pro → turn it into motion with hailuo 2.3 → final polish using topaz astra this simple workflow helps you think visually before you over generate. starting with a 3×3 grid lets you explore composition, mood and performance in one pass, instead of guessing shot by shot. from there, it’s much easier to choose which frames are worth pushing further, test variations and maintain consistency across scenes. turns your ideas into a clear live storyboard before moving into a full motion. great for a/b testing shots, refining actions and building stronger cinematic sequences with intention. made w x Hailuo AI-MiniMax Hub x Topaz Labs the guide structure is the same as the one i shared before ⬇️

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📖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.
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📖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.

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14,015 Aufrufe • vor 1 Monat

Using Seedance 2.0 for video-to-video transformations opens up some interesting possibilities: change the setting, restyle the wardrobe, and shift the entire mood of a scene without reshooting. This example reimagines a simple clip as a classic noir bar sequence. 🥃🎥 To try this workflow, link below 👇
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Using Seedance 2.0 for video-to-video transformations opens up some interesting possibilities: change the setting, restyle the wardrobe, and shift the entire mood of a scene without reshooting. This example reimagines a simple clip as a classic noir bar sequence. 🥃🎥 To try this workflow, link below 👇

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Claude Code + Higgsfield MCP is f*cking cracked 🤯 I built an entire DTC ad campaign inside Claude Code using the new Higgsfield MCP. One product URL → hero static, animated hero shot, 2 UGC clips with a creator wearing the product. 5 assets. One Claude conversation. 3 Higgsfield models. All inside Claude Code. Perfect for DTC brands and agencies who need full campaign packages without booking a shoot or briefing a designer. If you're spending hours every week generating statics in one tool, briefing a motion designer for the hero clip, then chasing a UGC creator for the talking-head shots — this MCP eliminates the entire pipeline: → Drop a product URL into Claude Code → Claude pulls the brand brief — voice, hero SKUs, visual style, target customer → Generates the hero static with ChatGPT Images 2.0 → Animates it into a 5-second cinematic opener with Seedance 2.0 → Generates a UGC creator with GPT Image 2 → Drops her in the product and generates 2 native UGC video clips with Seedance 2.0 No tab-switching between tools. No copy-pasting prompts between platforms. No briefing 3 different vendors for one campaign. What you get: → A complete campaign package — static, animation, UGC — from one product URL → Brand-specific outputs that pull from a real brief, not generic AI slop → Claude making creative decisions between every step (which variation wins, which creator fits the persona, which clip needs a re-spin) → A repeatable pipeline you can run for any product in your catalog Built 100% in Claude Code with the Higgsfield MCP. I recorded a full walkthrough showing exactly how this works: the MCP setup, every prompt, every model, the full campaign output. Want the full video walkthrough? > Like this post > Comment "MCP" And I'll send it over (must be following so I can DM)
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Claude Code + Higgsfield MCP is f*cking cracked 🤯 I built an entire DTC ad campaign inside Claude Code using the new Higgsfield MCP. One product URL → hero static, animated hero shot, 2 UGC clips with a creator wearing the product. 5 assets. One Claude conversation. 3 Higgsfield models. All inside Claude Code. Perfect for DTC brands and agencies who need full campaign packages without booking a shoot or briefing a designer. If you're spending hours every week generating statics in one tool, briefing a motion designer for the hero clip, then chasing a UGC creator for the talking-head shots — this MCP eliminates the entire pipeline: → Drop a product URL into Claude Code → Claude pulls the brand brief — voice, hero SKUs, visual style, target customer → Generates the hero static with ChatGPT Images 2.0 → Animates it into a 5-second cinematic opener with Seedance 2.0 → Generates a UGC creator with GPT Image 2 → Drops her in the product and generates 2 native UGC video clips with Seedance 2.0 No tab-switching between tools. No copy-pasting prompts between platforms. No briefing 3 different vendors for one campaign. What you get: → A complete campaign package — static, animation, UGC — from one product URL → Brand-specific outputs that pull from a real brief, not generic AI slop → Claude making creative decisions between every step (which variation wins, which creator fits the persona, which clip needs a re-spin) → A repeatable pipeline you can run for any product in your catalog Built 100% in Claude Code with the Higgsfield MCP. I recorded a full walkthrough showing exactly how this works: the MCP setup, every prompt, every model, the full campaign output. Want the full video walkthrough? > Like this post > Comment "MCP" And I'll send it over (must be following so I can DM)

Mike Futia

29,633 Aufrufe • vor 3 Monaten

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 👇
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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 Aufrufe • vor 1 Monat