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you don't need Seedance 2.5, here's cheaper and more efficient workflow we made this entire game shooting scene in one shot for $1.97 with DeepSeek V4 Flash 0731 + MiniMax H3 we use DeepSeek to code the raw Three.js scene first: exact camera movement, character motion, timing, everything. keep... show more

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158,687 просмотров • 1 месяц назад •via X (Twitter)

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MiniMax H3 is now 50% OFF on Magnific for 2K video, only until September 1. 🔥 I’ve been trying MiniMax H3 on Magnific, and it feels like a big upgrade for AI video creation. It’s not just about turning text into videos. You can use text, images, videos, and audio together in one prompt, giving you more control over the final video. Here’s what makes it stand out: - Multimodal: Use text, images, video, and audio in one prompt. - Multiple references: Add up to 9 images, 3 videos, and 3 audio files. - 2K video: Create videos up to 15 seconds long. - Built-in sound: Generate voice, music, and sound effects with the video. - Easy editing: Remove objects or transfer motion easily. - More control: Control the camera, characters, and voice. You can use it to turn posters into videos, moodboards into short films, and product images into ads. It also helps bring your ideas to life with realistic movement, lighting, reflections, and sound. The workflow is simple: give it your references → generate → edit → refine. Try MiniMax H3 on Magnific:

MiniMax H3 is now 50% OFF on Magnific for 2K video, only until September 1. 🔥 I’ve been trying MiniMax H3 on Magnific, and it feels like a big upgrade for AI video creation. It’s not just about turning text into videos. You can use text, images, videos, and audio together in one prompt, giving you more control over the final video. Here’s what makes it stand out: - Multimodal: Use text, images, video, and audio in one prompt. - Multiple references: Add up to 9 images, 3 videos, and 3 audio files. - 2K video: Create videos up to 15 seconds long. - Built-in sound: Generate voice, music, and sound effects with the video. - Easy editing: Remove objects or transfer motion easily. - More control: Control the camera, characters, and voice. You can use it to turn posters into videos, moodboards into short films, and product images into ads. It also helps bring your ideas to life with realistic movement, lighting, reflections, and sound. The workflow is simple: give it your references → generate → edit → refine. Try MiniMax H3 on Magnific:

Markandey Sharma

96,964 просмотров • 1 месяц назад

this is the best trick to maximum usage limits on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)

this is the best trick to maximum usage limits on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)

Avid

49,981 просмотров • 1 месяц назад

Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina. The workflow is basically: - Build the clay model with Astra in Blender. - Use Dreamina's Clay Renderer Plugin to send the scene over. - Let Seedance 2.5 turn it into finished footage. The camera and composition stay locked throughout. And you're getting 2.5 without paying a premium for the pipeline. Test it yourself 👇 #Dreamina #DreaminaPartner

Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina. The workflow is basically: - Build the clay model with Astra in Blender. - Use Dreamina's Clay Renderer Plugin to send the scene over. - Let Seedance 2.5 turn it into finished footage. The camera and composition stay locked throughout. And you're getting 2.5 without paying a premium for the pipeline. Test it yourself 👇 #Dreamina #DreaminaPartner

KATE

93,629 просмотров • 26 дней назад

MiniMax H3 is now on Magnific and honestly, there’s a lot you can do with it. You can mix text, images, videos and audio in a single prompt up to 9 images, 3 videos and 3 audio references. Start creating now: It can generate up to 15s of 2K video with synced sound, including voice, music and effects. And you can go beyond generation too: edit clips, remove objects, transfer motion, and control the camera, character and voice. But the multi-reference workflow is probably my favorite. Give it your product, character, environment and motion references, and H3 pulls everything together. It feels like a much easier way to go from an idea to an actual finished video.

MiniMax H3 is now on Magnific and honestly, there’s a lot you can do with it. You can mix text, images, videos and audio in a single prompt up to 9 images, 3 videos and 3 audio references. Start creating now: It can generate up to 15s of 2K video with synced sound, including voice, music and effects. And you can go beyond generation too: edit clips, remove objects, transfer motion, and control the camera, character and voice. But the multi-reference workflow is probably my favorite. Give it your product, character, environment and motion references, and H3 pulls everything together. It feels like a much easier way to go from an idea to an actual finished video.

Kalsoom (ghotai )

47,888 просмотров • 1 месяц назад

AI video is becoming less about generating a clip and more about controlling the entire scene. 🎬 MiniMax H3 is now available on Magnific, with a multimodal workflow that brings text, images, video and audio together. → Up to 9 image + 3 video + 3 audio references → 2K video up to 15 seconds → Native synced voice, music & sound effects → Motion transfer → Instruction-based video editing → Camera, character and voice control The interesting part is how much you can build from references. A moodboard, product, character, environment or motion reference can all become part of the same generation. And the sound is generated alongside the video, instead of being added afterward. MiniMax H3 on Magnific makes the whole process feel much closer to directing a scene than simply prompting a video.

AI video is becoming less about generating a clip and more about controlling the entire scene. 🎬 MiniMax H3 is now available on Magnific, with a multimodal workflow that brings text, images, video and audio together. → Up to 9 image + 3 video + 3 audio references → 2K video up to 15 seconds → Native synced voice, music & sound effects → Motion transfer → Instruction-based video editing → Camera, character and voice control The interesting part is how much you can build from references. A moodboard, product, character, environment or motion reference can all become part of the same generation. And the sound is generated alongside the video, instead of being added afterward. MiniMax H3 on Magnific makes the whole process feel much closer to directing a scene than simply prompting a video.

Mohini Shewale

63,995 просмотров • 1 месяц назад

There’s a weird paradox in AI video right now: The more ambitious the shot, the less you want the model improvising everything. For a simple clip, “describe → generate” can be enough. But for a complex scene, it helps to define the world first. That’s the idea behind the GPT-6 Astra workflow I’ve been testing: build the 3D scene, establish spatial relationships, and define the camera and character paths in the Viewport. Then, manually bring everything into CapCut PC. Seedance 2.5 handles the video rendering, while CapCut PC takes the result through post-production. Spatial control before generation. Creative control after it. #CapCutPC #GPT6Astra #AIVideo #Seedance25

There’s a weird paradox in AI video right now: The more ambitious the shot, the less you want the model improvising everything. For a simple clip, “describe → generate” can be enough. But for a complex scene, it helps to define the world first. That’s the idea behind the GPT-6 Astra workflow I’ve been testing: build the 3D scene, establish spatial relationships, and define the camera and character paths in the Viewport. Then, manually bring everything into CapCut PC. Seedance 2.5 handles the video rendering, while CapCut PC takes the result through post-production. Spatial control before generation. Creative control after it. #CapCutPC #GPT6Astra #AIVideo #Seedance25

Fathela Esq

43,328 просмотров • 25 дней назад

The scene starts as a clay model. Then Seedance 2.5 brings it to life. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina. The Clay Renderer Plugin keeps the Blender setup intact when moving the clay model into Dreamina. One click gets the scene into Dreamina, with the camera and layout staying locked for the Seedance 2.5 render. And the full 2.5 quality doesn’t come with a huge premium. My render pass costs less than lunch. See what you can make with it 👇 #Dreamina #DreaminaPartner

The scene starts as a clay model. Then Seedance 2.5 brings it to life. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina. The Clay Renderer Plugin keeps the Blender setup intact when moving the clay model into Dreamina. One click gets the scene into Dreamina, with the camera and layout staying locked for the Seedance 2.5 render. And the full 2.5 quality doesn’t come with a huge premium. My render pass costs less than lunch. See what you can make with it 👇 #Dreamina #DreaminaPartner

Ciri

154,118 просмотров • 24 дней назад

This is what happens when AI coding meets AI video generation. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina. Dreamina’s Clay Renderer Plugin takes the clay model straight from Blender into Dreamina, where Seedance 2.5 turns it into polished footage. The camera and layout stay locked, while Seedance focuses on adding the final visual style. A pretty powerful workflow for going from code → 3D scene → finished video without rebuilding the shot from scratch. Both Seedance 2.5 & Seedance 2.0 are available at highly competitive pricing. #Dreamina #DreaminaPartner

This is what happens when AI coding meets AI video generation. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina. Dreamina’s Clay Renderer Plugin takes the clay model straight from Blender into Dreamina, where Seedance 2.5 turns it into polished footage. The camera and layout stay locked, while Seedance focuses on adding the final visual style. A pretty powerful workflow for going from code → 3D scene → finished video without rebuilding the shot from scratch. Both Seedance 2.5 & Seedance 2.0 are available at highly competitive pricing. #Dreamina #DreaminaPartner

Md Riyazuddin

55,008 просмотров • 24 дней назад

This feels less like ""AI image generation"" and more like actually directing a shot. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. I started with a real photo and used GPT-6 Astra + Blender to recreate it as a clay-style scene. Then I used Seedance 2. 5 to figure out the movement and camera motion. The last step happens in Dreamina - turning that clay animation into a live-action result. The separation of structure → motion → final look is what makes this workflow interesting. #Dreamina #DreaminaPartner

This feels less like ""AI image generation"" and more like actually directing a shot. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. I started with a real photo and used GPT-6 Astra + Blender to recreate it as a clay-style scene. Then I used Seedance 2. 5 to figure out the movement and camera motion. The last step happens in Dreamina - turning that clay animation into a live-action result. The separation of structure → motion → final look is what makes this workflow interesting. #Dreamina #DreaminaPartner

Enzo Sanchez | IA

56,485 просмотров • 20 дней назад

HONESTLY, THIS IS HOW I WANT AI VIDEO TOOLS TO WORK TOGETHER. Not one model trying to do everything. One stage understands the space. One stage turns the scene into video. Then the creator gets to shape the result. GPT-6 Astra handles the spatial planning, including the 3D environment and Viewport-based camera + character paths. I manually bring that scene into CapCut PC, use Seedance 2.5 for the render, then keep working on the footage in CapCut PC. That last part matters. Because a generated clip isn't necessarily a finished video. The more interesting future might be AI helping across the entire filmmaking pipeline while the creator still decides what the final piece should be. And this is definitely one of those workflows I'd want to try hands-on in CapCut PC. #CapCutPC #GPT6Astra #AIVideo #Seedance25

HONESTLY, THIS IS HOW I WANT AI VIDEO TOOLS TO WORK TOGETHER. Not one model trying to do everything. One stage understands the space. One stage turns the scene into video. Then the creator gets to shape the result. GPT-6 Astra handles the spatial planning, including the 3D environment and Viewport-based camera + character paths. I manually bring that scene into CapCut PC, use Seedance 2.5 for the render, then keep working on the footage in CapCut PC. That last part matters. Because a generated clip isn't necessarily a finished video. The more interesting future might be AI helping across the entire filmmaking pipeline while the creator still decides what the final piece should be. And this is definitely one of those workflows I'd want to try hands-on in CapCut PC. #CapCutPC #GPT6Astra #AIVideo #Seedance25

Alexander Inspira IA

33,169 просмотров • 24 дней назад

it starts with a simple clay model, then things get interesting turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina the Dreamina Clay Renderer Plugin takes the Blender clay model directly into Dreamina in one click. The camera and layout stay locked, so there’s no need to rebuild the shot before rendering with Seedance 2.5 and you get the same Seedance model and quality without paying extra just for the pipeline ready to try it? 👇 #Dreamina #DreaminaPartner

it starts with a simple clay model, then things get interesting turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina the Dreamina Clay Renderer Plugin takes the Blender clay model directly into Dreamina in one click. The camera and layout stay locked, so there’s no need to rebuild the shot before rendering with Seedance 2.5 and you get the same Seedance model and quality without paying extra just for the pipeline ready to try it? 👇 #Dreamina #DreaminaPartner

MAX

127,553 просмотров • 23 дней назад

🚨 AI VIDEO PROMPTING IS DEAD !! You no longer need to write a 500-word prompt just to tell AI how your video should look. 💀 I just tested Pippit’s 3D Director Studio + Seedance 2.5 And instead of explaining the entire scene with words… I literally BUILT the scene first. For my test, I created a cinematic fight scene with characters inside a 3D environment. I could control: 1️⃣ Where the characters stood 2️⃣ Which props they held 3️⃣ Where the camera was placed 4️⃣ What each character should do Then I could actually CHOREOGRAPH the action. → Run → Fight → Shoot → Fall → React → Move You can place these actions on the timeline, adjust when they happen, and even plan the camera movement and character trajectories. So instead of: PROMPT → GENERATE → PRAY 😂 It becomes: BUILD → DIRECT → GENERATE And that gives you WAY more control. Because you’re not asking AI to imagine the entire scene from a block of text. You’re literally showing it the: → Characters → Environment → Props → Positions → Actions → Camera Then Seedance 2.5 takes that 3D direction and turns it into the final video. That’s what makes this so interesting. It feels less like prompting an AI video model… And more like sitting in the DIRECTOR’S CHAIR. 🎬 Try Pippit: Pippitofficial #3DDirectorStudio #PippitAI #Seedance25 #PippitPartner

🚨 AI VIDEO PROMPTING IS DEAD !! You no longer need to write a 500-word prompt just to tell AI how your video should look. 💀 I just tested Pippit’s 3D Director Studio + Seedance 2.5 And instead of explaining the entire scene with words… I literally BUILT the scene first. For my test, I created a cinematic fight scene with characters inside a 3D environment. I could control: 1️⃣ Where the characters stood 2️⃣ Which props they held 3️⃣ Where the camera was placed 4️⃣ What each character should do Then I could actually CHOREOGRAPH the action. → Run → Fight → Shoot → Fall → React → Move You can place these actions on the timeline, adjust when they happen, and even plan the camera movement and character trajectories. So instead of: PROMPT → GENERATE → PRAY 😂 It becomes: BUILD → DIRECT → GENERATE And that gives you WAY more control. Because you’re not asking AI to imagine the entire scene from a block of text. You’re literally showing it the: → Characters → Environment → Props → Positions → Actions → Camera Then Seedance 2.5 takes that 3D direction and turns it into the final video. That’s what makes this so interesting. It feels less like prompting an AI video model… And more like sitting in the DIRECTOR’S CHAIR. 🎬 Try Pippit: Pippitofficial #3DDirectorStudio #PippitAI #Seedance25 #PippitPartner

SANI BULA

95,462 просмотров • 23 дней назад

I think people are still underestimating how important the 3D layer could become in AI video. The problem with complex AI shots has never just been image quality. It’s spatial consistency, camera direction and knowing where everything is supposed to be. GPT-6 Astra can map the scene and keep camera + character paths within the Viewport, giving the shot a spatial structure before generation. I then manually move that scene into CapCut PC and use Seedance 2.5 to render it. From there, CapCut PC becomes the actual editing environment. That feels less like “AI generated a video” and more like a production pipeline worth experimenting with. #CapCutPC #GPT6Astra #AIVideo #Seedance25

I think people are still underestimating how important the 3D layer could become in AI video. The problem with complex AI shots has never just been image quality. It’s spatial consistency, camera direction and knowing where everything is supposed to be. GPT-6 Astra can map the scene and keep camera + character paths within the Viewport, giving the shot a spatial structure before generation. I then manually move that scene into CapCut PC and use Seedance 2.5 to render it. From there, CapCut PC becomes the actual editing environment. That feels less like “AI generated a video” and more like a production pipeline worth experimenting with. #CapCutPC #GPT6Astra #AIVideo #Seedance25

Manish Kumar Shah

30,785 просмотров • 25 дней назад

We may be overestimating the importance of the generation step in AI video. Getting a model to produce a beautiful 10-second clip is impressive. But filmmaking has never been just about producing footage. It’s about deciding what happens before the camera rolls, controlling the shot, and shaping the material afterward. That’s why this workflow is interesting: GPT-6 Astra establishes the 3D space and camera + character movement in the Viewport. The scene is manually brought into CapCut PC. Seedance 2.5 renders the video. Then CapCut PC takes the result through post-production. Generation becomes one stage in a larger pipeline rather than the finish line. Maybe that’s the direction AI video needs to take if it’s going to move beyond “cool clips” and toward actual filmmaking workflows. And CapCut PC is a pretty natural place to experiment with that full process. #CapCutPC #GPT6Astra #AIVideo #Seedance25

We may be overestimating the importance of the generation step in AI video. Getting a model to produce a beautiful 10-second clip is impressive. But filmmaking has never been just about producing footage. It’s about deciding what happens before the camera rolls, controlling the shot, and shaping the material afterward. That’s why this workflow is interesting: GPT-6 Astra establishes the 3D space and camera + character movement in the Viewport. The scene is manually brought into CapCut PC. Seedance 2.5 renders the video. Then CapCut PC takes the result through post-production. Generation becomes one stage in a larger pipeline rather than the finish line. Maybe that’s the direction AI video needs to take if it’s going to move beyond “cool clips” and toward actual filmmaking workflows. And CapCut PC is a pretty natural place to experiment with that full process. #CapCutPC #GPT6Astra #AIVideo #Seedance25

AIMATRIX

16,778 просмотров • 25 дней назад

i just generated this AI UGC creative for a teeth whitening product in 10 minutes in Higgsfield (you can now generate in 1080p)... here's my workflow: > deploy a research agent to find UGC style videos that promote products like the one you wanna make a creative for > use gemini 2.5 flash to analyze the creative & get a detailed analysis of each scene (get it to add a placeholder for each image reference in your prompt) > use GPT-image 2 in Higgsfield to extract a frame from each cut-scene & use it as a reference for your generation in the prompt wherever there's a placeholder > send the prompt + all the references to Higgsfields video generator & select Seedance 2.5, then generate it > once you have a finished product, take it to a video editor & add captions / cuts / zooms / music

i just generated this AI UGC creative for a teeth whitening product in 10 minutes in Higgsfield (you can now generate in 1080p)... here's my workflow: > deploy a research agent to find UGC style videos that promote products like the one you wanna make a creative for > use gemini 2.5 flash to analyze the creative & get a detailed analysis of each scene (get it to add a placeholder for each image reference in your prompt) > use GPT-image 2 in Higgsfield to extract a frame from each cut-scene & use it as a reference for your generation in the prompt wherever there's a placeholder > send the prompt + all the references to Higgsfields video generator & select Seedance 2.5, then generate it > once you have a finished product, take it to a video editor & add captions / cuts / zooms / music

EP

28,949 просмотров • 1 месяц назад

📖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⌚️

14,015 просмотров • 3 месяцев назад

What if you could choreograph an entire action scene before generating a single frame? 🥋🎬 That’s what I wanted to test with Pippitofficial’s 3D Director Studio + Seedance 2.5. I created a scene with two girls demonstrating a series of karate moves and used the 3D workspace to figure out the sequence first. The interesting part is that I wasn’t relying on a giant prompt to explain every movement. I could place both characters in the scene, set up the environment, choose props from 150+ available options, and then map out how the performance should unfold. One move at a time. Step in → stance → punch → block → kick → reset → next move. The timeline makes it possible to arrange actions and control their timing, while movement trajectories help define where the characters should go. And then there’s the camera. Instead of hoping the generated video finds the right angle, I could plan the camera movement around the choreography and decide how the sequence should be captured. That’s the part I found most useful. You can think through the scene visually before asking AI to generate the final result. Characters. Movement. Timing. Camera. All planned first. Then Seedance 2.5 turns that setup into the actual video. For me, this feels like a shift from simply prompting AI to actually directing the shot. Try Pippit 3D Director Studio: #3DDirectorStudio #PippitAI #Seedance25 #PippitPartner

What if you could choreograph an entire action scene before generating a single frame? 🥋🎬 That’s what I wanted to test with Pippitofficial’s 3D Director Studio + Seedance 2.5. I created a scene with two girls demonstrating a series of karate moves and used the 3D workspace to figure out the sequence first. The interesting part is that I wasn’t relying on a giant prompt to explain every movement. I could place both characters in the scene, set up the environment, choose props from 150+ available options, and then map out how the performance should unfold. One move at a time. Step in → stance → punch → block → kick → reset → next move. The timeline makes it possible to arrange actions and control their timing, while movement trajectories help define where the characters should go. And then there’s the camera. Instead of hoping the generated video finds the right angle, I could plan the camera movement around the choreography and decide how the sequence should be captured. That’s the part I found most useful. You can think through the scene visually before asking AI to generate the final result. Characters. Movement. Timing. Camera. All planned first. Then Seedance 2.5 turns that setup into the actual video. For me, this feels like a shift from simply prompting AI to actually directing the shot. Try Pippit 3D Director Studio: #3DDirectorStudio #PippitAI #Seedance25 #PippitPartner

Shabnam Parveen

51,749 просмотров • 24 дней назад

One trick we discovered for avoiding realistic face moderation issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.

One trick we discovered for avoiding realistic face moderation issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.

underwood

33,545 просмотров • 4 месяцев назад

This workflow is more interesting than simply “AI + Blender.” GPT-6 Astra produces the geometry → Blender constructs the composition → Dreamina’s Clay Renderer Plugin imports the clay model with one click → Seedance 2.5 renders it into the final output. The camera and layout stay unchanged during the transfer, so the original 3D setup is preserved. Plus, with competitive pricing for Seedance 2.5 and 2.0, you can explore additional looks without adding unnecessary cost. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Worth a test. #Dreamina #DreaminaPartner

This workflow is more interesting than simply “AI + Blender.” GPT-6 Astra produces the geometry → Blender constructs the composition → Dreamina’s Clay Renderer Plugin imports the clay model with one click → Seedance 2.5 renders it into the final output. The camera and layout stay unchanged during the transfer, so the original 3D setup is preserved. Plus, with competitive pricing for Seedance 2.5 and 2.0, you can explore additional looks without adding unnecessary cost. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Worth a test. #Dreamina #DreaminaPartner

Zara Khan

26,352 просмотров • 21 дней назад

Seedance 2.0 has a fix for character drift almost nobody uses. Every new text description is a fresh interpretation of appearance. That's where the drift comes from: a slightly different face, a slightly different outfit, proportions that shift from scene to scene. The @ Image tag solves this directly — attach a photo once, and it becomes the fixed source of truth for face, outfit, and proportions across the entire multi-shot sequence. The @ Video tag works the same way for motion and camera — tag a reference instead of describing it, and the model copies that exact style instead of an approximation. You're not making the model remember. You're just stopping yourself from reminding it differently every single time.

Seedance 2.0 has a fix for character drift almost nobody uses. Every new text description is a fresh interpretation of appearance. That's where the drift comes from: a slightly different face, a slightly different outfit, proportions that shift from scene to scene. The @ Image tag solves this directly — attach a photo once, and it becomes the fixed source of truth for face, outfit, and proportions across the entire multi-shot sequence. The @ Video tag works the same way for motion and camera — tag a reference instead of describing it, and the model copies that exact style instead of an approximation. You're not making the model remember. You're just stopping yourself from reminding it differently every single time.

Zentrix⌚️

88,931 просмотров • 2 месяцев назад