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🚀 Update Next Scene V2 only 10 days after last version, now live on Hugging Face 👉 🎬 A LoRA made for Qwen Image Edit 2509 that lets you create seamless cinematic “next shots” — keeping the same characters, lighting, and mood. I trained this new version on thousands...

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Lovis Odin

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43,366 просмотров • 10 месяцев назад •via X (Twitter)

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MiniMax H3 Instead of sharing the prompts for each of these videos, I thought it would be more useful to share how I created that prompts. All of the videos were generated with text-to-video. First, find an image with the kind of scene, composition and mood you want to recreate. I used a few YouTube playlist thumbnails as references but Pinterest is also a great place to find inspiration. You can even use your own old or nostalgic photographs. Then upload the image to ChatGPT and ask it to describe the scene. The description it gives you can essentially become your text-to-video prompt. From there, you can generate completely new scenes with a similar composition, atmosphere and cinematic language. You can of course use the reference image directly with image-to-video or as a first frame. But if the original image isn't yours, I prefer using it only as visual inspiration and recreating the scene through text-to-video. This is the prompt I use with ChatGPT: "Describe the scene in this image in English, focusing primarily on what is happening, the characters, their actions and body language, the setting and the overall atmosphere. Also briefly describe the composition, framing, camera angle, approximate lens choice, lighting, color palette and cinematic aesthetic. Keep it concise and scene-focused rather than overly technical."
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MiniMax H3 Instead of sharing the prompts for each of these videos, I thought it would be more useful to share how I created that prompts. All of the videos were generated with text-to-video. First, find an image with the kind of scene, composition and mood you want to recreate. I used a few YouTube playlist thumbnails as references but Pinterest is also a great place to find inspiration. You can even use your own old or nostalgic photographs. Then upload the image to ChatGPT and ask it to describe the scene. The description it gives you can essentially become your text-to-video prompt. From there, you can generate completely new scenes with a similar composition, atmosphere and cinematic language. You can of course use the reference image directly with image-to-video or as a first frame. But if the original image isn't yours, I prefer using it only as visual inspiration and recreating the scene through text-to-video. This is the prompt I use with ChatGPT: "Describe the scene in this image in English, focusing primarily on what is happening, the characters, their actions and body language, the setting and the overall atmosphere. Also briefly describe the composition, framing, camera angle, approximate lens choice, lighting, color palette and cinematic aesthetic. Keep it concise and scene-focused rather than overly technical."

Kōda

55,398 просмотров • 29 дней назад

Can you tell the difference? I tested the exact same prompt, same scene, and identical luxury perfume commercial in Seedance 2.0 4k on EaseMate AI_Official , comparing 4K and 1080p output. From the Mediterranean lighting and glass reflections to skin texture and cinematic depth of field, the difference is clear when viewed side by side. Which version would you choose for your next commercial—4K or 1080p? 👇 Prompt in the comments.
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Can you tell the difference? I tested the exact same prompt, same scene, and identical luxury perfume commercial in Seedance 2.0 4k on EaseMate AI_Official , comparing 4K and 1080p output. From the Mediterranean lighting and glass reflections to skin texture and cinematic depth of field, the difference is clear when viewed side by side. Which version would you choose for your next commercial—4K or 1080p? 👇 Prompt in the comments.

Jessica Collins

468,136 просмотров • 2 месяцев назад

currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan
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currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan

DStudioproject

97,086 просмотров • 9 месяцев назад

Yeaah with Kartel.ai and Jesse Wellens ! So training Lora for character on Flux and also for Wan 2.1 14B ( using dataset video ) make a Huge difference. So here you are seeing a volumetric capture of Jesse Wellens that we did in at the spatial studio of Kartel.ai We use a a World Labs gaussian splatting to create a simple environment that we put with the volumetric capture in our own webgl viewer ( out soon for everyone ). After that, We use after this output in a ComfyUI workflow with Wan Fun control ( a bit similar Vace but its working for Wan 14B) with the double loras , the first to generate the first frame with flux, and the second one to guide the generation of Wan 2.1 Control. So we keep very good consistency of character and position, and creating amazing worlds :) ! Hope you will find it cool !
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Yeaah with Kartel.ai and Jesse Wellens ! So training Lora for character on Flux and also for Wan 2.1 14B ( using dataset video ) make a Huge difference. So here you are seeing a volumetric capture of Jesse Wellens that we did in at the spatial studio of Kartel.ai We use a a World Labs gaussian splatting to create a simple environment that we put with the volumetric capture in our own webgl viewer ( out soon for everyone ). After that, We use after this output in a ComfyUI workflow with Wan Fun control ( a bit similar Vace but its working for Wan 14B) with the double loras , the first to generate the first frame with flux, and the second one to guide the generation of Wan 2.1 Control. So we keep very good consistency of character and position, and creating amazing worlds :) ! Hope you will find it cool !

Lovis Odin

23,066 просмотров • 1 год назад

Big moment for text-to-speech. Qwen just open-sourced a text-to-speech model that lets you clone voices, design new ones, and control speech using natural language. Let me explain what I mean: You can literally tell it "speak in a cheerful tone with slight nervousness," and it actually does that. No complex audio engineering needed. What makes this special: - 3-second voice cloning - Covers 10 languages: English, German, French, and more - Latency as low as 97ms for real-time applications - Supports both streaming and non-streaming generation The model comes in two sizes (0.6B and 1.7B parameters), so you can pick based on your hardware and quality needs. Three modes to work with: 1. Custom Voice: Use pre-built premium voices with instruction-based style control 2. Voice Design: Describe the voice you want in plain English (or Chinese), and the model creates it 3. Voice Clone: Provide a 3-second reference audio and clone that voice The best part? It integrates with vLLM for production deployment and has a simple Python package you can pip install. I've shared a link to the GitHub repo in the next tweet.
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Big moment for text-to-speech. Qwen just open-sourced a text-to-speech model that lets you clone voices, design new ones, and control speech using natural language. Let me explain what I mean: You can literally tell it "speak in a cheerful tone with slight nervousness," and it actually does that. No complex audio engineering needed. What makes this special: - 3-second voice cloning - Covers 10 languages: English, German, French, and more - Latency as low as 97ms for real-time applications - Supports both streaming and non-streaming generation The model comes in two sizes (0.6B and 1.7B parameters), so you can pick based on your hardware and quality needs. Three modes to work with: 1. Custom Voice: Use pre-built premium voices with instruction-based style control 2. Voice Design: Describe the voice you want in plain English (or Chinese), and the model creates it 3. Voice Clone: Provide a 3-second reference audio and clone that voice The best part? It integrates with vLLM for production deployment and has a simple Python package you can pip install. I've shared a link to the GitHub repo in the next tweet.

Akshay 🚀

31,249 просмотров • 7 месяцев назад

next, here is how to animate the video once you generated the base image of your ai model, attach the image of your model and the product image in your ai tool and prompt, "she is holding this product" now to animate this scene, use such a simple prompt; "the girl is speaking in her beautiful voice; "this is the most powerful drink in the world... drink it once, and your whole hair is gone" no background music, no sound effects." adding "no background music" is necessory part when you're prompting to VEO 3 or Kling 2.6 and for the drinking scene, i also gave it a very simple prompt; "the girl is drinking, handheld camera shaking. No background music," then i asked nb pro to remove her hair, and then turn it into the using that simple prompt method. note; simple prompts works better than complicated one when it comes to animating your video that's it, if you need any help setting up your ai influencer to promote your product/app or service just DM me here on 𝕏 or comment "want" i'll dm you myself if you know how to make viral content + setup such a beautiful ai model 2026 will be yours, cheers
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next, here is how to animate the video once you generated the base image of your ai model, attach the image of your model and the product image in your ai tool and prompt, "she is holding this product" now to animate this scene, use such a simple prompt; "the girl is speaking in her beautiful voice; "this is the most powerful drink in the world... drink it once, and your whole hair is gone" no background music, no sound effects." adding "no background music" is necessory part when you're prompting to VEO 3 or Kling 2.6 and for the drinking scene, i also gave it a very simple prompt; "the girl is drinking, handheld camera shaking. No background music," then i asked nb pro to remove her hair, and then turn it into the using that simple prompt method. note; simple prompts works better than complicated one when it comes to animating your video that's it, if you need any help setting up your ai influencer to promote your product/app or service just DM me here on 𝕏 or comment "want" i'll dm you myself if you know how to make viral content + setup such a beautiful ai model 2026 will be yours, cheers

ViralOps

21,545 просмотров • 9 месяцев назад

MOST PEOPLE DON’T KNOW THIS IS EVEN POSSIBLE. You can swap your face live on camera in real-time using just ONE image. OPEN SOURCE. FREE TO INSTALL. No expensive tools, studio setup or complex pipelines. Real-time face swap. Live webcam. VIDEO DEEPFAKE. Here is what is going on. Most creators struggle with content production. You need editing, VFX tools, time, and skills to create something engaging. The problem has always been this: AI face swap tools are slow, offline, or require heavy editing workflows. Upload → wait → render → export → repeat. Someone just killed that entire workflow. It is called Deep Live Cam. You connect a single image to your webcam, and it swaps your face live - instantly. No rendering. No waiting. No editing. And then it acts in real time. swaps faces live on webcam or video supports multiple faces at once keeps natural expressions with mouth masking works with CPU, GPU, or Mac lets you stream, record, or create content instantly You can literally: go live as anyone create viral memes in seconds run live shows with different identities replace actors in videos in real time prank, entertain, or build content at scale Professional studios spend thousands on VFX pipelines to do this. This does it in seconds. Someone built a real-time deepfake engine… and put it on the internet for free.
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MOST PEOPLE DON’T KNOW THIS IS EVEN POSSIBLE. You can swap your face live on camera in real-time using just ONE image. OPEN SOURCE. FREE TO INSTALL. No expensive tools, studio setup or complex pipelines. Real-time face swap. Live webcam. VIDEO DEEPFAKE. Here is what is going on. Most creators struggle with content production. You need editing, VFX tools, time, and skills to create something engaging. The problem has always been this: AI face swap tools are slow, offline, or require heavy editing workflows. Upload → wait → render → export → repeat. Someone just killed that entire workflow. It is called Deep Live Cam. You connect a single image to your webcam, and it swaps your face live - instantly. No rendering. No waiting. No editing. And then it acts in real time. swaps faces live on webcam or video supports multiple faces at once keeps natural expressions with mouth masking works with CPU, GPU, or Mac lets you stream, record, or create content instantly You can literally: go live as anyone create viral memes in seconds run live shows with different identities replace actors in videos in real time prank, entertain, or build content at scale Professional studios spend thousands on VFX pipelines to do this. This does it in seconds. Someone built a real-time deepfake engine… and put it on the internet for free.

Kanika

17,835 просмотров • 4 месяцев назад

Quick review after testing Seedance 2 mini! 🎬 ⚡️ It's incredibly fast and costs half as much as the standard Seedance 2.0 (A 15-second generation takes ~300 credits instead of ~600). Perfect for running test shots before doing the final render version. I used the exact same prompt and characters references for both. Here are the main differences I noticed: 📌 Slight inaccuracies in reading the character sheet. 📌 Colors, lighting, and the overall atmosphere lack the sharpness and depth of the standard version, resulting in a noticeably different cinematic feel. 📌 The movement has a bit of a wavy/ripple effect (especially noticeable in the character's eyes). You can see the comparison and if you interested, you can try it out on Kinovi.AI website! ✨ #Seedance2mini #Kinovi #AIanimation #AIVideo
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Quick review after testing Seedance 2 mini! 🎬 ⚡️ It's incredibly fast and costs half as much as the standard Seedance 2.0 (A 15-second generation takes ~300 credits instead of ~600). Perfect for running test shots before doing the final render version. I used the exact same prompt and characters references for both. Here are the main differences I noticed: 📌 Slight inaccuracies in reading the character sheet. 📌 Colors, lighting, and the overall atmosphere lack the sharpness and depth of the standard version, resulting in a noticeably different cinematic feel. 📌 The movement has a bit of a wavy/ripple effect (especially noticeable in the character's eyes). You can see the comparison and if you interested, you can try it out on Kinovi.AI website! ✨ #Seedance2mini #Kinovi #AIanimation #AIVideo

Victorior

11,284 просмотров • 2 месяцев назад

Are you a developer working on iOS 27 app updates? Drowning in screenshots and screen recordings? I made something for you. Free and open source. Apple Frames CLI lets you (or your agent) frame any screenshot or screen recording from any Apple device. It supports *every* official Apple frame color, grouped batches, it can merge images and videos, and so much more. I just released version 1.4 with even faster performance, videos with transparent background, and lots of fixes. This has been a labor of love over the last few months, and I hope it can help you automate your App Store screenshots as much as it helps me for my articles ☺️ Enjoy:
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Are you a developer working on iOS 27 app updates? Drowning in screenshots and screen recordings? I made something for you. Free and open source. Apple Frames CLI lets you (or your agent) frame any screenshot or screen recording from any Apple device. It supports *every* official Apple frame color, grouped batches, it can merge images and videos, and so much more. I just released version 1.4 with even faster performance, videos with transparent background, and lots of fixes. This has been a labor of love over the last few months, and I hope it can help you automate your App Store screenshots as much as it helps me for my articles ☺️ Enjoy:

Federico Viticci

23,661 просмотров • 4 дней назад

🎬 Motion Control has arrived! Take full control of your AI videos with 12 dynamic camera shots — from smooth Dolly moves to dramatic Cranes and VFX like Explosions and Disintegration. Perfect for adding cinematic flare, stock footage, product ads, or just experimenting with storytelling. ✨ How it works: 1️⃣ Head to the new Video creation tool 2️⃣ Enter your prompt 3️⃣ Pick your camera shot from the Motion Control panel 4️⃣ (Optional) Add a Style or inspiration image as a start frame 💡Want extra consistency? Train an Element, generate your key stills, and animate them for a fully guided scene. More features are coming soon — including End Frames 👀 So stay tuned, and let us know what you create! 🎥 Lights, camera... Motion! Try it now on the Video page 👉🏻
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🎬 Motion Control has arrived! Take full control of your AI videos with 12 dynamic camera shots — from smooth Dolly moves to dramatic Cranes and VFX like Explosions and Disintegration. Perfect for adding cinematic flare, stock footage, product ads, or just experimenting with storytelling. ✨ How it works: 1️⃣ Head to the new Video creation tool 2️⃣ Enter your prompt 3️⃣ Pick your camera shot from the Motion Control panel 4️⃣ (Optional) Add a Style or inspiration image as a start frame 💡Want extra consistency? Train an Element, generate your key stills, and animate them for a fully guided scene. More features are coming soon — including End Frames 👀 So stay tuned, and let us know what you create! 🎥 Lights, camera... Motion! Try it now on the Video page 👉🏻

Leonardo.Ai

984,421 просмотров • 1 год назад

I tried MiniMax Design (H3) to see how it handles real content creation. The workflow is simple. You just write a prompt or drop in an image, and it turns that into a dynamic video with motion, framing, and scene depth. No timeline to manage. No editing setup. No back and forth. What stood out to me: • Text to video and image to video both feel smooth. • It handles motion, camera angles, and flow on its own. • Output is fast, usually within seconds. • Works well for reels, quick ads, storytelling, and idea testing. It removes the hardest part: starting from scratch and turns your ideas into content in minutes. Instead of thinking, “How do I make this video?” You start with, “What do I want to create?” That shift alone makes it worth exploring. Try it here: #Hailuo
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I tried MiniMax Design (H3) to see how it handles real content creation. The workflow is simple. You just write a prompt or drop in an image, and it turns that into a dynamic video with motion, framing, and scene depth. No timeline to manage. No editing setup. No back and forth. What stood out to me: • Text to video and image to video both feel smooth. • It handles motion, camera angles, and flow on its own. • Output is fast, usually within seconds. • Works well for reels, quick ads, storytelling, and idea testing. It removes the hardest part: starting from scratch and turns your ideas into content in minutes. Instead of thinking, “How do I make this video?” You start with, “What do I want to create?” That shift alone makes it worth exploring. Try it here: #Hailuo

Manish Kumar Shah

27,680 просмотров • 5 месяцев 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
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🚨 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

95,351 просмотров • 4 дней назад

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:
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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:

Markandey Sharma

96,964 просмотров • 28 дней назад

What happens when an AI stops telling you how to build something and actually builds it? Nex-N2.5 Pro took an idea from concept to playable game: → Rough concept → 2D design → Blender 3D environment → Working game The interesting part wasn’t the final result. It was the process. The model interacted directly with the tools, observed the changes on screen, made adjustments, and continued working instead of simply generating instructions. That’s the real computer-use test. Can an AI: • Open Blender and build a scene? • Inspect the output and iterate? • Write a script, tweak parameters, and troubleshoot? • Hit a limitation, switch to the GUI, and finish the task? Nex-N2.5 Pro is starting to make that workflow feel surprisingly real. You can try it on OpenRouter for a limited time: Try Nex-N2.5 Pro on OpenRouter #NexN2 #Blender #ComputerUse #OpenRouter
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What happens when an AI stops telling you how to build something and actually builds it? Nex-N2.5 Pro took an idea from concept to playable game: → Rough concept → 2D design → Blender 3D environment → Working game The interesting part wasn’t the final result. It was the process. The model interacted directly with the tools, observed the changes on screen, made adjustments, and continued working instead of simply generating instructions. That’s the real computer-use test. Can an AI: • Open Blender and build a scene? • Inspect the output and iterate? • Write a script, tweak parameters, and troubleshoot? • Hit a limitation, switch to the GUI, and finish the task? Nex-N2.5 Pro is starting to make that workflow feel surprisingly real. You can try it on OpenRouter for a limited time: Try Nex-N2.5 Pro on OpenRouter #NexN2 #Blender #ComputerUse #OpenRouter

IMOLEAYOMIDE

108,118 просмотров • 3 дней назад

Claude + Arcads + Whop You have no idea how much you can make in 2026. Literally sell anything on autopilot. With AI ugc studio in arcads, you can launch an army of AI influencers selling your products 24/7 across socials. I built an n8n workflow that: 1. Generates AI characters at scale 2. Write scripts using Claude 3. Produces ugc videos for your product 4. Schedules it across social channels Run a/b tests. Use affiliate links. Diversify with dedicated TikTok accounts. Fast. No casting, contracts, or 30-day cycles. I have been testing prompts that make culturally relevant cum attractive influencers and running them on ghost accounts. Will share the prompts and results in the next thread. This single n8n workflow can make you $30k/mo. To get it for FREE, Like + comment "arcads" and I'll DM you.
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Claude + Arcads + Whop You have no idea how much you can make in 2026. Literally sell anything on autopilot. With AI ugc studio in arcads, you can launch an army of AI influencers selling your products 24/7 across socials. I built an n8n workflow that: 1. Generates AI characters at scale 2. Write scripts using Claude 3. Produces ugc videos for your product 4. Schedules it across social channels Run a/b tests. Use affiliate links. Diversify with dedicated TikTok accounts. Fast. No casting, contracts, or 30-day cycles. I have been testing prompts that make culturally relevant cum attractive influencers and running them on ghost accounts. Will share the prompts and results in the next thread. This single n8n workflow can make you $30k/mo. To get it for FREE, Like + comment "arcads" and I'll DM you.

Kritarth Mittal | Soshals

144,907 просмотров • 7 месяцев назад

🧪 My GEN-3 Prompting Process I get a lot of questions on how I find my prompts when using Image-2-Video in Runway. Here is a quick breakdown of the general thought process. If you have any further questions, let's chat in the comments below. 1️⃣ I always start by doing 3x generations without any prompts and additional settings. 2️⃣ I analyze those 3x generations and identify patterns. What did the model always do well, where did it fail. 3️⃣ I then use prompting and the different controllability features to eliminate where the model struggled on its own. --- General Tips --- *️⃣ There are some tokens which work universally. "Muted colors, low contrast" are great to preserve the colors of the original input image. "Static camera, natural movement" works fantastically to get cinematic shots. *️⃣ My I2V prompts are on the shorter side. It's usually a sentence describing the scene and then individual modifiers like the ones mentioned above to fix certain camera/lighting/movement artifacts. *️⃣ Start small and prompt engineer in steps. This is very much an iterative process which rewards you for understanding model behavior and knowing how to craft a visual architecture with words. --- Disclaimer --- Please note that this approach is more suitable for a professional workflow. Therefore, I recommend it for users on the unlimited plan who don't need to worry about credits.
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🧪 My GEN-3 Prompting Process I get a lot of questions on how I find my prompts when using Image-2-Video in Runway. Here is a quick breakdown of the general thought process. If you have any further questions, let's chat in the comments below. 1️⃣ I always start by doing 3x generations without any prompts and additional settings. 2️⃣ I analyze those 3x generations and identify patterns. What did the model always do well, where did it fail. 3️⃣ I then use prompting and the different controllability features to eliminate where the model struggled on its own. --- General Tips --- *️⃣ There are some tokens which work universally. "Muted colors, low contrast" are great to preserve the colors of the original input image. "Static camera, natural movement" works fantastically to get cinematic shots. *️⃣ My I2V prompts are on the shorter side. It's usually a sentence describing the scene and then individual modifiers like the ones mentioned above to fix certain camera/lighting/movement artifacts. *️⃣ Start small and prompt engineer in steps. This is very much an iterative process which rewards you for understanding model behavior and knowing how to craft a visual architecture with words. --- Disclaimer --- Please note that this approach is more suitable for a professional workflow. Therefore, I recommend it for users on the unlimited plan who don't need to worry about credits.

Nicolas Neubert

46,240 просмотров • 2 лет назад

MiniMax H3 + Suno Beat-Synced Character Showcase Across 5 Environments First create a 15-seconds Suno track with style "punchy 4/4 beats" Then use your character reference sheet and generated audio track as references. MiniMax H3 Prompt: Use @[char ref] as the strict character reference and @[audio ref] as the timing, rhythm and editing reference. Keep the character’s exact identity, proportions, hairstyle, outfit, colors and overall style consistent throughout. Create a 15-second cinematic burst-cut video showcasing the character across 5 different environments that naturally fit their design, vibe and world. AUDIO SYNC Synchronize the entire edit to @[audio ref]. Cuts, camera accents, transitions and environment changes should land precisely on strong beats, half-beats and musical accents. Let audio1 control the pacing and intensity of the montage. STRUCTURE - 5 environments total - 3 seconds per environment - 6 burst-cut shots per environment - 30 shots total Each environment must be clearly different in atmosphere, lighting, scale and visual language. Show each environment through rapid cinematic angles: wide establishing shots, aerials, low angles, side views, tracking shots, close environmental details, medium shots and hero frames. Every cut must reveal a new angle, distance, composition or spatial relationship. Avoid repeated framing. Mix static shots, push-ins, pull-backs, tracking, orbit and crane-like movement. Keep character movement subtle and natural. The focus is environmental variety, cinematic framing and tight synchronization with audio1. Hard constraints: - exactly 5 environments - exactly 6 shots per environment - exactly 30 shots total - environment changes must follow audio1’s musical phrasing - cuts and motion accents synchronized to audio1 - no outfit changes - no character duplication - no morphing - no text or UI - no blurry unreadable frames - maintain strict character consistency
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MiniMax H3 + Suno Beat-Synced Character Showcase Across 5 Environments First create a 15-seconds Suno track with style "punchy 4/4 beats" Then use your character reference sheet and generated audio track as references. MiniMax H3 Prompt: Use @[char ref] as the strict character reference and @[audio ref] as the timing, rhythm and editing reference. Keep the character’s exact identity, proportions, hairstyle, outfit, colors and overall style consistent throughout. Create a 15-second cinematic burst-cut video showcasing the character across 5 different environments that naturally fit their design, vibe and world. AUDIO SYNC Synchronize the entire edit to @[audio ref]. Cuts, camera accents, transitions and environment changes should land precisely on strong beats, half-beats and musical accents. Let audio1 control the pacing and intensity of the montage. STRUCTURE - 5 environments total - 3 seconds per environment - 6 burst-cut shots per environment - 30 shots total Each environment must be clearly different in atmosphere, lighting, scale and visual language. Show each environment through rapid cinematic angles: wide establishing shots, aerials, low angles, side views, tracking shots, close environmental details, medium shots and hero frames. Every cut must reveal a new angle, distance, composition or spatial relationship. Avoid repeated framing. Mix static shots, push-ins, pull-backs, tracking, orbit and crane-like movement. Keep character movement subtle and natural. The focus is environmental variety, cinematic framing and tight synchronization with audio1. Hard constraints: - exactly 5 environments - exactly 6 shots per environment - exactly 30 shots total - environment changes must follow audio1’s musical phrasing - cuts and motion accents synchronized to audio1 - no outfit changes - no character duplication - no morphing - no text or UI - no blurry unreadable frames - maintain strict character consistency

Kōda

18,006 просмотров • 1 месяц назад