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Today I'm testing horizontal character design sheets, including the 2D version from different angles. 🪲 I have other ideas for making this type of character design sheet more interactive. I'm currently doing a lot of research on insects and crustaceans. 🦀 AI Tools : Midjourney (2D) + Leonardo.Ai :...

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Anima

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102,114 görüntüleme • 6 ay önce •via X (Twitter)

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Seedance 2.0 with Mina Choi is so impressive! even the humor! It really captures the essence of the scenes we described (There are still a few bugs with the multi-angle views) Idea: plan for internal character sheets with written text to capture emotions and the world. AI Tools : Character design : Midjourney + Nano Banana + Kling on Hedra Animation : Seedance 2 on Mina Choi_ai
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Seedance 2.0 with Mina Choi is so impressive! even the humor! It really captures the essence of the scenes we described (There are still a few bugs with the multi-angle views) Idea: plan for internal character sheets with written text to capture emotions and the world. AI Tools : Character design : Midjourney + Nano Banana + Kling on Hedra Animation : Seedance 2 on Mina Choi_ai

Anima

141,039 görüntüleme • 5 ay önce

Seedance 2 is a drug ! 🧪 It's amazing to see the world we imagined around our characters come to life I still had some color grading adjustments to make, but I'm very busy with work project right now ! It motivates me to work on my world-building skills AI Tools : Character Design : Midjourney + Nano Banana + Kling on Hedra + Suno Animation : Seedance 2 sur Dreamina AI
0:19

Seedance 2 is a drug ! 🧪 It's amazing to see the world we imagined around our characters come to life I still had some color grading adjustments to make, but I'm very busy with work project right now ! It motivates me to work on my world-building skills AI Tools : Character Design : Midjourney + Nano Banana + Kling on Hedra + Suno Animation : Seedance 2 sur Dreamina AI

Anima

104,056 görüntüleme • 5 ay önce

Another test with Seedance 2.0 🔥 The more I use it, the more I realize that today, everything feels possible. Giving a soul and bringing the characters I imagine to life is incredible… I can’t wait to challenge myself and create short films with them as soon as I have a little time. AI Tools : Character Design : Midjourney + (Nano Banana Leonardo.Ai) Animation : Seedance 2 on Dreamina AI
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Another test with Seedance 2.0 🔥 The more I use it, the more I realize that today, everything feels possible. Giving a soul and bringing the characters I imagine to life is incredible… I can’t wait to challenge myself and create short films with them as soon as I have a little time. AI Tools : Character Design : Midjourney + (Nano Banana Leonardo.Ai) Animation : Seedance 2 on Dreamina AI

Anima

108,020 görüntüleme • 5 ay önce

Seedance 2 is so funny ! Grandma is an AI hater who Insult my creations. ⭐️If you want a tutorial on creating your own movie characters and scenes ⭐️: 1) Comment "ANIMA" 2) Follow Anima And we'll create a guide for you next week if there are enough of you ! AI Tools : Character Design : Midjourney + (Nano Banana on Leonardo.Ai) Animation : Seedance 2 on Dreamina AI
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Seedance 2 is so funny ! Grandma is an AI hater who Insult my creations. ⭐️If you want a tutorial on creating your own movie characters and scenes ⭐️: 1) Comment "ANIMA" 2) Follow Anima And we'll create a guide for you next week if there are enough of you ! AI Tools : Character Design : Midjourney + (Nano Banana on Leonardo.Ai) Animation : Seedance 2 on Dreamina AI

Anima

222,421 görüntüleme • 5 ay önce

My face when I drink Seedance 2. We all know a friend like that at a party who gets bored until they drink their first drop of alcohol! 😁 🍷If you want a tutorial on creating your own movie characters and scenes 🍷: 1) Comment "ANIMA" 2) Follow Anima And we'll create a guide for you this week ! AI Tools : Character Design : Midjourney + (Nano Banana on Leonardo.Ai) Animation : Seedance 2 on Dreamina AI
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My face when I drink Seedance 2. We all know a friend like that at a party who gets bored until they drink their first drop of alcohol! 😁 🍷If you want a tutorial on creating your own movie characters and scenes 🍷: 1) Comment "ANIMA" 2) Follow Anima And we'll create a guide for you this week ! AI Tools : Character Design : Midjourney + (Nano Banana on Leonardo.Ai) Animation : Seedance 2 on Dreamina AI

Anima

87,354 görüntüleme • 5 ay önce

GPT Image 2 + Seedance 2.0 Prompt Share Created on mitte.ai I didn't use a character sheet for this generation. I directly used the character images I created in Midjourney. Since the visual style transfers into the video surprisingly well, it's actually a really effective for style transfer. This time I also added a bit more detail to the Seedance prompt itself. You can definitely achieve similar results without storyboards too, they're not mandatory but I think they're one of the best ways to previsualize scenes, pacing and even camera angles before generation. Also, this storyboard prompt is still a bit long. I'm currently experimenting with more compact version of it too. You can check the prompts below.
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GPT Image 2 + Seedance 2.0 Prompt Share Created on mitte.ai I didn't use a character sheet for this generation. I directly used the character images I created in Midjourney. Since the visual style transfers into the video surprisingly well, it's actually a really effective for style transfer. This time I also added a bit more detail to the Seedance prompt itself. You can definitely achieve similar results without storyboards too, they're not mandatory but I think they're one of the best ways to previsualize scenes, pacing and even camera angles before generation. Also, this storyboard prompt is still a bit long. I'm currently experimenting with more compact version of it too. You can check the prompts below.

Kōda

38,856 görüntüleme • 2 ay önce

Imagine making 2D concept art for a game world –pressing a button – and suddenly you can walk around an interactive 3D world. That's what Google DeepMind's new paper Genie 2 can do – simulate virtual worlds, including the consequences of any action (e.g. unlock door, jump, swim etc). Right now Genie 2 can generate consistent worlds for up to a minute. And this world model seems to generate larger 3D worlds than what World Labs showcased yesterday. Plus they're dynamic vs. static worlds – the foliage moves in the wind, the water ripples etc. Not quite ready for prime time, but promising on two fronts: 1. For game developers: enabling rapid prototyping of interactive experiences straight from concept art 2. For AI research: providing unlimited, diverse 3D environments for training and testing AI agents The race for building the biggest, baddest world model is very much on. Meanwhile, all I can think is "if only Stadia was still around!"
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Imagine making 2D concept art for a game world –pressing a button – and suddenly you can walk around an interactive 3D world. That's what Google DeepMind's new paper Genie 2 can do – simulate virtual worlds, including the consequences of any action (e.g. unlock door, jump, swim etc). Right now Genie 2 can generate consistent worlds for up to a minute. And this world model seems to generate larger 3D worlds than what World Labs showcased yesterday. Plus they're dynamic vs. static worlds – the foliage moves in the wind, the water ripples etc. Not quite ready for prime time, but promising on two fronts: 1. For game developers: enabling rapid prototyping of interactive experiences straight from concept art 2. For AI research: providing unlimited, diverse 3D environments for training and testing AI agents The race for building the biggest, baddest world model is very much on. Meanwhile, all I can think is "if only Stadia was still around!"

Bilawal Sidhu

71,326 görüntüleme • 1 yıl önce

I CREATED A PRODUCT WITH A MORE HUMAN DESIGN USING Envato #envatochallenge Contra. Instead of relying only on AI, I stepped outside to find inspiration in the real world. I explored different places, captured my own photographs, studied colours, textures, shapes, and details, then combined those real-life elements into a single product design. AI can generate images, but it can't replace the experience of discovering inspiration with your own eyes. Every photo I took became a piece of the final creation, making the product feel authentic, personal, and impossible to recreate through prompts alone. Envato Tools i used for creating this product: Gen Ai - ImageGen - ImageEdit - VideoGen - MusicGen - Mockup Gen Stock - Photo - Videos - Video templates - Luts - Music - Sound Effects - Fonts #HumanByDesign #CreativeProcess #Design #AI
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I CREATED A PRODUCT WITH A MORE HUMAN DESIGN USING Envato #envatochallenge Contra. Instead of relying only on AI, I stepped outside to find inspiration in the real world. I explored different places, captured my own photographs, studied colours, textures, shapes, and details, then combined those real-life elements into a single product design. AI can generate images, but it can't replace the experience of discovering inspiration with your own eyes. Every photo I took became a piece of the final creation, making the product feel authentic, personal, and impossible to recreate through prompts alone. Envato Tools i used for creating this product: Gen Ai - ImageGen - ImageEdit - VideoGen - MusicGen - Mockup Gen Stock - Photo - Videos - Video templates - Luts - Music - Sound Effects - Fonts #HumanByDesign #CreativeProcess #Design #AI

Aymducking

89,303 görüntüleme • 3 gün önce

This workflow is perfect for creating short fashion-style cinematic videos. I simplified the original prompts based on willie’s method, and the whole process is now much faster and more stable: 1. Generate a 3×3 keyframe grid (Nano Banana Pro only) Use this simple prompt: “In a 3x3 grid, show this character in different angles, keep the scene the same, random poses. This is far simpler and more efficient than my old prompts. You can generate multiple times and just pick the keyframes you like most. 2. Extract a high-res keyframe (Super stable trick) Take a screenshot of the keyframe you want from the 3×3 grid, send it back to Nano Banana Pro, and simply say: “Give me a high-resolution version.” This method is much more stable than relying on complex upscaling prompts. 3. Generate the video with Kling 2.5 Turbo Upload the first and last frames to Kling 2.5 Turbo and use this prompt: “The camera very slowly and smoothly lowers on a boom.” From my testing, Kling 2.5 Turbo offers the best balance of stability and cost — other models are either less consistent or noticeably more expensive. 4. Final speed adjustment with willie’s tool (Critical step) Use the tool built by willie to fine-tune the playback speed of each clip. This step is essential for getting that premium cinematic feel. I’ll drop the tool link in the comments.
0:10

This workflow is perfect for creating short fashion-style cinematic videos. I simplified the original prompts based on willie’s method, and the whole process is now much faster and more stable: 1. Generate a 3×3 keyframe grid (Nano Banana Pro only) Use this simple prompt: “In a 3x3 grid, show this character in different angles, keep the scene the same, random poses. This is far simpler and more efficient than my old prompts. You can generate multiple times and just pick the keyframes you like most. 2. Extract a high-res keyframe (Super stable trick) Take a screenshot of the keyframe you want from the 3×3 grid, send it back to Nano Banana Pro, and simply say: “Give me a high-resolution version.” This method is much more stable than relying on complex upscaling prompts. 3. Generate the video with Kling 2.5 Turbo Upload the first and last frames to Kling 2.5 Turbo and use this prompt: “The camera very slowly and smoothly lowers on a boom.” From my testing, Kling 2.5 Turbo offers the best balance of stability and cost — other models are either less consistent or noticeably more expensive. 4. Final speed adjustment with willie’s tool (Critical step) Use the tool built by willie to fine-tune the playback speed of each clip. This step is essential for getting that premium cinematic feel. I’ll drop the tool link in the comments.

underwood

22,173 görüntüleme • 7 ay önce

MiniMax is the James Bond of AI agents. It uses the world's first open-weight model (MiniMax-M1), and it squeezes every bit of power from it. The agent takes a prompt and does more than any other agent in the market right now: 1. It can do Deep Research 2. It can write code 3. It can design web pages 4. It can build 3D models I built 5 different experiences using MiniMax and recorded them for you:
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MiniMax is the James Bond of AI agents. It uses the world's first open-weight model (MiniMax-M1), and it squeezes every bit of power from it. The agent takes a prompt and does more than any other agent in the market right now: 1. It can do Deep Research 2. It can write code 3. It can design web pages 4. It can build 3D models I built 5 different experiences using MiniMax and recorded them for you:

Santiago

44,730 görüntüleme • 1 yıl önce

📖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.
0:12

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

Zentrix⌚️

12,846 görüntüleme • 29 gün önce

Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)
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Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)

Mike Futia

24,576 görüntüleme • 6 ay önce

this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...
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this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...

KNOX

25,773 görüntüleme • 5 ay önce

When strangers become big sisters in seconds. GPT Image 2 + Seedance 2.0 on Renoise prompt Create a clean, professional Pixar-style 3D character sheet of a 6-year-old girl, highly detailed, vibrant colors, polished family-friendly animation style. Character Description: Adorable 6-year-old girl with soft dark wavy hair tied in a cute high ponytail with a small pink bow. Big sparkling brown eyes, round expressive face, rosy cheeks, small button nose, and a warm friendly smile. She has a healthy, energetic child body type suitable for a 6-year-old. Outfit: Bright yellow t-shirt, light pink shorts, white ankle socks, and colorful small sneakers (blue and pink accents). Character Sheet Layout: A single clean vertical character sheet with multiple views of the same girl arranged neatly: Top Left: Full-body front view, standing naturally with hands on hips, smiling confidently. Top Right: Full-body 3/4 angle view, showing depth and personality. Middle Left: Full-body side profile view (facing right). Middle Right: Full-body back view. Bottom Center: Large close-up of her face showing 4 different expressions in small circles — Happy smile, Surprised, Shy/embarrassed, and Excited/grinning. Bottom Right: Small extra details — close-up of her ponytail with bow, shoe details, and hand poses. Style & Quality: Beautiful 3D Pixar animation style, smooth rounded shapes, expressive eyes, soft realistic textures, vibrant yet soft lighting, clean white background with subtle light shadows, highly polished, professional character design sheet, perfect proportions, studio quality, sharp details, warm and wholesome feel. 16:9 aspect ratio, ultra-detailed, cinematic lighting. #RenoiseCanvas
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When strangers become big sisters in seconds. GPT Image 2 + Seedance 2.0 on Renoise prompt Create a clean, professional Pixar-style 3D character sheet of a 6-year-old girl, highly detailed, vibrant colors, polished family-friendly animation style. Character Description: Adorable 6-year-old girl with soft dark wavy hair tied in a cute high ponytail with a small pink bow. Big sparkling brown eyes, round expressive face, rosy cheeks, small button nose, and a warm friendly smile. She has a healthy, energetic child body type suitable for a 6-year-old. Outfit: Bright yellow t-shirt, light pink shorts, white ankle socks, and colorful small sneakers (blue and pink accents). Character Sheet Layout: A single clean vertical character sheet with multiple views of the same girl arranged neatly: Top Left: Full-body front view, standing naturally with hands on hips, smiling confidently. Top Right: Full-body 3/4 angle view, showing depth and personality. Middle Left: Full-body side profile view (facing right). Middle Right: Full-body back view. Bottom Center: Large close-up of her face showing 4 different expressions in small circles — Happy smile, Surprised, Shy/embarrassed, and Excited/grinning. Bottom Right: Small extra details — close-up of her ponytail with bow, shoe details, and hand poses. Style & Quality: Beautiful 3D Pixar animation style, smooth rounded shapes, expressive eyes, soft realistic textures, vibrant yet soft lighting, clean white background with subtle light shadows, highly polished, professional character design sheet, perfect proportions, studio quality, sharp details, warm and wholesome feel. 16:9 aspect ratio, ultra-detailed, cinematic lighting. #RenoiseCanvas

Sharon Riley

157,146 görüntüleme • 2 ay önce

Contact sheet prompting is the hottest AI video technique right now 🤯 One image in → 6 consistent frames out → cinematic video ads in minutes. But everyone's doing it manually. I automated the entire workflow in n8n + Airtable. Here's why contact sheet prompting is blowing up: You give AI one reference image, and it generates a grid of consistent shots — same face, same outfit, different angles. Instant storyboarding, full creative control, no photoshoots. The problem? It's super tedious: → Write the prompt manually → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one by one → Repeat for every product This n8n automation handles all of it: → Upload character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 generates smooth transitions between frames → You get 5 video clips ready to stitch Approval checkpoints at every stage, no surprises. What lands in your Airtable: → AI-generated creative prompt → Core hero image (model + product) → 6-frame contact sheet → 5 cinematic video clips → Full control before each generation step Contact sheet prompting on autopilot. I filmed a 20 minute Loom video showing you exactly how I set it up. Want the Loom + the complete n8n workflow + Airtable base? > Comment "SHEET" > Like this post And I'll send it over (must be following so I can DM)
0:13

Contact sheet prompting is the hottest AI video technique right now 🤯 One image in → 6 consistent frames out → cinematic video ads in minutes. But everyone's doing it manually. I automated the entire workflow in n8n + Airtable. Here's why contact sheet prompting is blowing up: You give AI one reference image, and it generates a grid of consistent shots — same face, same outfit, different angles. Instant storyboarding, full creative control, no photoshoots. The problem? It's super tedious: → Write the prompt manually → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one by one → Repeat for every product This n8n automation handles all of it: → Upload character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 generates smooth transitions between frames → You get 5 video clips ready to stitch Approval checkpoints at every stage, no surprises. What lands in your Airtable: → AI-generated creative prompt → Core hero image (model + product) → 6-frame contact sheet → 5 cinematic video clips → Full control before each generation step Contact sheet prompting on autopilot. I filmed a 20 minute Loom video showing you exactly how I set it up. Want the Loom + the complete n8n workflow + Airtable base? > Comment "SHEET" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

53,632 görüntüleme • 7 ay önce

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)
0:14

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

125,781 görüntüleme • 4 ay önce

We're investing in Hedra, a company leading the way in AI character animation for video. AI video has come a long way, but when it comes to expressive, talking characters, most tools fall straight into the uncanny valley. Hedra is solving this by making it easy to generate character-driven scenes from any image and audio or script. Unlike other platforms, we believe its outputs are uniquely coherent, engaging, and natural. Nearly 3M users—from meme makers to enterprise marketers—have generated 10M+ videos on Hedra. If you’ve been on social media lately, you’ve probably seen one. We’ve been fortunate to know Michael Lingelbach and the team since their earliest days in our a16z speedrun 🧊 program, and have consistently been impressed by their velocity and blend of technical depth and product thinking. Link below to read more from Justine Moore, Troy Kirwin, Jon Lai, and Matt Bornstein.
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We're investing in Hedra, a company leading the way in AI character animation for video. AI video has come a long way, but when it comes to expressive, talking characters, most tools fall straight into the uncanny valley. Hedra is solving this by making it easy to generate character-driven scenes from any image and audio or script. Unlike other platforms, we believe its outputs are uniquely coherent, engaging, and natural. Nearly 3M users—from meme makers to enterprise marketers—have generated 10M+ videos on Hedra. If you’ve been on social media lately, you’ve probably seen one. We’ve been fortunate to know Michael Lingelbach and the team since their earliest days in our a16z speedrun 🧊 program, and have consistently been impressed by their velocity and blend of technical depth and product thinking. Link below to read more from Justine Moore, Troy Kirwin, Jon Lai, and Matt Bornstein.

a16z

20,415 görüntüleme • 1 yıl önce

In the summer of 2023, I cold emailed Jensen Huang and asked to capture a NeRF of him at SIGGRAPH. He responded in about an hour and said yes. A radiance field is, in the simplest terms, akin to a 3D photograph. A moment in time, so completely reconstructed that you can move through it and see it from angles the original cameras never occupied. NeRFs were the original method. Gaussian splatting, which debuted at that same SIGGRAPH, has since become the dominant form of radiance field. I called my late friend James, who told me we needed to begin practicing immediately. We ran capture after capture for weeks until we consistently got the capture time down to ~30 seconds with one camera. Later, in a hallway at the LA Convention Center during SIGGRAPH, I captured the portrait you're seeing now, a full 360° gaussian splat of Jensen, rendered here as a 2D flythrough. Afterward, I continued the conversation with him and members of his team to make the case for radiance fields as a foundational representation for imaging. To my surprise, they listened. Three years later, NVIDIA has several works, including NuRec, fVDB, 3DGRUT, and gsplat all utilizing radiance fields. The landscape has evolved enough that the reasoning is obvious. Gaussian splatting has begun to ship across some of the world’s largest industries, including autonomous vehicles, AEC, geospatial, media and entertainment, robotics, e-commerce, hospitality. It’s become clear that lifelike 3D is here to stay. And yet I think we will look back and be disappointed by how late we started taking 3D portraits of the people around us, just like how we have sparse 2D photos of our grandparents and great grandparents. We have billions of photographs of the people we know and love, but almost no radiance fields of them. I'll be returning to SIGGRAPH in LA where this was initially captured three years ago, with the landscape looking significantly different. Radiance fields are more under deployed than ever relative to what they can do. I'm excited for the future of imaging, and for 2D to transition into 3D. I have a few things up my sleeve that I think will make that case plainly.
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In the summer of 2023, I cold emailed Jensen Huang and asked to capture a NeRF of him at SIGGRAPH. He responded in about an hour and said yes. A radiance field is, in the simplest terms, akin to a 3D photograph. A moment in time, so completely reconstructed that you can move through it and see it from angles the original cameras never occupied. NeRFs were the original method. Gaussian splatting, which debuted at that same SIGGRAPH, has since become the dominant form of radiance field. I called my late friend James, who told me we needed to begin practicing immediately. We ran capture after capture for weeks until we consistently got the capture time down to ~30 seconds with one camera. Later, in a hallway at the LA Convention Center during SIGGRAPH, I captured the portrait you're seeing now, a full 360° gaussian splat of Jensen, rendered here as a 2D flythrough. Afterward, I continued the conversation with him and members of his team to make the case for radiance fields as a foundational representation for imaging. To my surprise, they listened. Three years later, NVIDIA has several works, including NuRec, fVDB, 3DGRUT, and gsplat all utilizing radiance fields. The landscape has evolved enough that the reasoning is obvious. Gaussian splatting has begun to ship across some of the world’s largest industries, including autonomous vehicles, AEC, geospatial, media and entertainment, robotics, e-commerce, hospitality. It’s become clear that lifelike 3D is here to stay. And yet I think we will look back and be disappointed by how late we started taking 3D portraits of the people around us, just like how we have sparse 2D photos of our grandparents and great grandparents. We have billions of photographs of the people we know and love, but almost no radiance fields of them. I'll be returning to SIGGRAPH in LA where this was initially captured three years ago, with the landscape looking significantly different. Radiance fields are more under deployed than ever relative to what they can do. I'm excited for the future of imaging, and for 2D to transition into 3D. I have a few things up my sleeve that I think will make that case plainly.

Radiance Fields

17,663 görüntüleme • 1 ay önce

Really excited about our launch of Superagent today! Powered by the latest AI models, agents have reached a breakthrough moment where they can do incredible work, with high ease of use--without requiring complicated tuning, prompting, or configuration. Superagent represents the freeform agent that can research anything (and soon your own company's context) and output an incredible, interactive webpage. It's like having your own personal NYTimes-quality data viz/web team building bespoke pages for you. This is the perfect complement to the structured system of operations for the AI era that Airtable has become, and we will be launching more integrations between the two products in the near future. Think: launch Superagent tasks from within Airtable records or Airtable Omni, or have Superagent output/edit/read data into Airtable bases! Excited for this new frontier of breakthrough agents, and applying our product and design philosophy of making powerful capabilities intuitive and accessible-what we did for app building with Airtable, we're now doing for agents with Superagents.
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Really excited about our launch of Superagent today! Powered by the latest AI models, agents have reached a breakthrough moment where they can do incredible work, with high ease of use--without requiring complicated tuning, prompting, or configuration. Superagent represents the freeform agent that can research anything (and soon your own company's context) and output an incredible, interactive webpage. It's like having your own personal NYTimes-quality data viz/web team building bespoke pages for you. This is the perfect complement to the structured system of operations for the AI era that Airtable has become, and we will be launching more integrations between the two products in the near future. Think: launch Superagent tasks from within Airtable records or Airtable Omni, or have Superagent output/edit/read data into Airtable bases! Excited for this new frontier of breakthrough agents, and applying our product and design philosophy of making powerful capabilities intuitive and accessible-what we did for app building with Airtable, we're now doing for agents with Superagents.

Howie Liu

10,125 görüntüleme • 6 ay önce