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A single 2D image → a 110,745-triangle 3D monster with 27 animations, running live in the browser. This is the Abyss Monster, built with img2threejs: The workflow: Image → 3D Reconstruction → Reference GLB + Specs → Rig → Animation Loops → VFX → Interactive Three.js 🔥 Inside this...

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Nick

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11,026 görüntüleme • 4 gün önce •via X (Twitter)

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Turn a single 2D image into a fully interactive, animated 3D character - running directly in your browser.🥊 This is the Ringside Boxer, built with img2threejs v1.5.1. Live showcase: 2D Image → 3D Reconstruction (TripoAI/Hyper3D) → Reference GLB + Specs → Rig & Animation Setup → Animation Loops → Physics VFX → Playable Three.js Scene ( 100% pure typescript ) 🔥 Under the hood: • ~97.5K triangle 3D reconstruction • 41-bone character rig • 19 combat animation clips • Jab, Hook, Body Shot, Footwork, Victory, Defeat & more • Physics-based sweat particles with gravity • Impact shock-ring VFX • Fully interactive 360° orbit + zoom And the important part: 1. The final result is generated as pure Three.js + TypeScript code. 2. No traditional 3D authoring workflow. 3. No Blender setup. 4. Just code that can be inspected, modified, and dropped directly into a WebGL experience. This is where I want img2threejs to go: Image → 3D → Animation → Interactive Web Experience. And this is only v1.5.1. 🚀 #ThreeJS #GameDev #TypeScript #Web3D #img2threejs
1:06

Turn a single 2D image into a fully interactive, animated 3D character - running directly in your browser.🥊 This is the Ringside Boxer, built with img2threejs v1.5.1. Live showcase: 2D Image → 3D Reconstruction (TripoAI/Hyper3D) → Reference GLB + Specs → Rig & Animation Setup → Animation Loops → Physics VFX → Playable Three.js Scene ( 100% pure typescript ) 🔥 Under the hood: • ~97.5K triangle 3D reconstruction • 41-bone character rig • 19 combat animation clips • Jab, Hook, Body Shot, Footwork, Victory, Defeat & more • Physics-based sweat particles with gravity • Impact shock-ring VFX • Fully interactive 360° orbit + zoom And the important part: 1. The final result is generated as pure Three.js + TypeScript code. 2. No traditional 3D authoring workflow. 3. No Blender setup. 4. Just code that can be inspected, modified, and dropped directly into a WebGL experience. This is where I want img2threejs to go: Image → 3D → Animation → Interactive Web Experience. And this is only v1.5.1. 🚀 #ThreeJS #GameDev #TypeScript #Web3D #img2threejs

Nick

45,937 görüntüleme • 6 gün önce

img2threejs 1.5.1 is out 🚀 Checkout: This release introduces a new approach to image → 3D → Three.js. Image → Tripo → img2threejs → reconstructed geometry → Three.js Instead of using the generated 3D model as the final asset, img2threejs uses it as a reference to rebuild the character into a representation that can be generated and rendered directly in Three.js. No Blender workflow, and no GLB required as the final output. The animation in the demo is still a bit rough because this release is focused on reconstruction, not animation. I’ll be improving that in the next release. Still experimental, but this is a big step toward where I want img2threejs to go.
1:02

img2threejs 1.5.1 is out 🚀 Checkout: This release introduces a new approach to image → 3D → Three.js. Image → Tripo → img2threejs → reconstructed geometry → Three.js Instead of using the generated 3D model as the final asset, img2threejs uses it as a reference to rebuild the character into a representation that can be generated and rendered directly in Three.js. No Blender workflow, and no GLB required as the final output. The animation in the demo is still a bit rough because this release is focused on reconstruction, not animation. I’ll be improving that in the next release. Still experimental, but this is a big step toward where I want img2threejs to go.

Nick

115,485 görüntüleme • 12 gün önce

“Use the reference image named farm_voxel.png as the main visual guide. Create a playable-looking low-poly voxel agricultural farm diorama" This is the workflow I keep pushing: 1) GPT Image 2.0 for the visual base. 2) Codex with imagegen + GPT-5.5 for the build. 3) Three.js for the prototype. result: 🎬 Prompt below 👇
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“Use the reference image named farm_voxel.png as the main visual guide. Create a playable-looking low-poly voxel agricultural farm diorama" This is the workflow I keep pushing: 1) GPT Image 2.0 for the visual base. 2) Codex with imagegen + GPT-5.5 for the build. 3) Three.js for the prototype. result: 🎬 Prompt below 👇

Givros

17,281 görüntüleme • 3 ay önce

Create movie scenes from image grids with Kling O1. With Freepik Spaces, I created a workflow that requires only a single prompt to do this. Inputting the grid reference into Kling is a great workflow to create cinematic scenes. Comment for the Spaces link 🔽
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Create movie scenes from image grids with Kling O1. With Freepik Spaces, I created a workflow that requires only a single prompt to do this. Inputting the grid reference into Kling is a great workflow to create cinematic scenes. Comment for the Spaces link 🔽

Jerrod Lew

16,957 görüntüleme • 8 ay önce

This is the best 2026 AI workflow for turning game ideas into playable prototypes: GPT Image 2.0 → reference image + tileset Codex + GPT-5.5 → my custom prompt Result → playable browser prototype I generated the Cozy Island Farm concept, turned the same visual direction into clean technical assets, then used one complete prompt to make it playable. Comment “Cozy Island Farm” and I’ll send you my custom prompt.
0:36

This is the best 2026 AI workflow for turning game ideas into playable prototypes: GPT Image 2.0 → reference image + tileset Codex + GPT-5.5 → my custom prompt Result → playable browser prototype I generated the Cozy Island Farm concept, turned the same visual direction into clean technical assets, then used one complete prompt to make it playable. Comment “Cozy Island Farm” and I’ll send you my custom prompt.

Givros

32,683 görüntüleme • 3 ay önce

Face Replacement and De-aging Demo: VFX artist Doug Hogan built a fully automated face swap workflow inside ComfyUI. Florence 2 → SAM2 → WAN Video. One pipeline. Temporally consistent across every frame. Not a pixel swap. The workflow detects the head, segments it, drives motion from the original performance, and uses a reference image + auto prompt to transfer the identity while preserving lighting and timing. Face replacement. De-aging. All inside ComfyUI. Click the link below for the workflow 👇
4:13

Face Replacement and De-aging Demo: VFX artist Doug Hogan built a fully automated face swap workflow inside ComfyUI. Florence 2 → SAM2 → WAN Video. One pipeline. Temporally consistent across every frame. Not a pixel swap. The workflow detects the head, segments it, drives motion from the original performance, and uses a reference image + auto prompt to transfer the identity while preserving lighting and timing. Face replacement. De-aging. All inside ComfyUI. Click the link below for the workflow 👇

ComfyUI

14,877 görüntüleme • 2 ay önce

Codex is a monster with 2D games. But what is it worth with 3D and Three.js? 👀 Codex + GPT Image 2.0 + a crazy prompt = • playable 3D forest scene • humanoid character fully made of leaves 🍃 • dense foliage covering the whole body • third-person movement • wind animation on every leaf • SPACE transformation into a flying leaf swarm • leaf trail while moving • runs directly in the browser AI doesn’t just help you code faster. It lets you test ideas that would normally feel too complex to even start. Comment “leaf” and I’ll share the prompt. #ThreeJS #WebGL #Codex #GPT5 #AIAssistedDev
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Codex is a monster with 2D games. But what is it worth with 3D and Three.js? 👀 Codex + GPT Image 2.0 + a crazy prompt = • playable 3D forest scene • humanoid character fully made of leaves 🍃 • dense foliage covering the whole body • third-person movement • wind animation on every leaf • SPACE transformation into a flying leaf swarm • leaf trail while moving • runs directly in the browser AI doesn’t just help you code faster. It lets you test ideas that would normally feel too complex to even start. Comment “leaf” and I’ll share the prompt. #ThreeJS #WebGL #Codex #GPT5 #AIAssistedDev

Givros

60,844 görüntüleme • 4 ay önce

GPT-5.6 Sol Ultra was given a full set of character references and asked to rebuild the character in Blender, rig it, create three animations, export a real GLB, and build a complete Three.js showcase around it. The entire pipeline was completed in 2 hours and 11 minutes. The final model still loses some of the original proportions, costume structure, and material fidelity, but going from reference images to a rigged, animated 3D character running in the browser is already a very strong result. Cc: Givros
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GPT-5.6 Sol Ultra was given a full set of character references and asked to rebuild the character in Blender, rig it, create three animations, export a real GLB, and build a complete Three.js showcase around it. The entire pipeline was completed in 2 hours and 11 minutes. The final model still loses some of the original proportions, costume structure, and material fidelity, but going from reference images to a rigged, animated 3D character running in the browser is already a very strong result. Cc: Givros

Token Gremlin

37,583 görüntüleme • 1 ay önce

GPT Image 2 - Character Reference Sheet Prompt You can create a character reference sheet in any style you want for use in your Seedance 2.0 videos. All you need to do is either provide a reference image or describe your character. You can also input random values to generate completely random characters. This reference sheet provides a clear, structured, and highly readable visual breakdown of the character, helping the model maintain strong identity consistency across different outputs. The layout ensures the model focuses on essential visual information rather than stylistic noise, while the inclusion of expressions, head angles, and performance cues improves the model’s ability to generate believable acting and varied poses without losing character integrity. All clips in the demonstration video were generated using the reference sheet image and the same Seedance 2.0 prompt. You can find the prompts in the replies. 👇 GPT Image 2 and Seedance 2.0 are both available on mitte.ai
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GPT Image 2 - Character Reference Sheet Prompt You can create a character reference sheet in any style you want for use in your Seedance 2.0 videos. All you need to do is either provide a reference image or describe your character. You can also input random values to generate completely random characters. This reference sheet provides a clear, structured, and highly readable visual breakdown of the character, helping the model maintain strong identity consistency across different outputs. The layout ensures the model focuses on essential visual information rather than stylistic noise, while the inclusion of expressions, head angles, and performance cues improves the model’s ability to generate believable acting and varied poses without losing character integrity. All clips in the demonstration video were generated using the reference sheet image and the same Seedance 2.0 prompt. You can find the prompts in the replies. 👇 GPT Image 2 and Seedance 2.0 are both available on mitte.ai

Kōda

164,464 görüntüleme • 4 ay önce

, webgl experience fully made using fal the pipeline: GPT-Image-2 (or FLUX.2 Klein 9B for the live "create your own") 🦴 meshy v6 image-to-3d takes that → rigged GLB with a baked animation 🐾 GPT-Image-2/edit on the same character → companion creature image, color-locked to the character's palette → meshy v6 again (no rig) → static creature GLB 🪨 PATINA (fal-ai/patina/material/extract) takes the character image and outputs basecolor + normal + roughness + metalness for a per-character floor that matches their environment 🎬 Seedance 2.0 fast → 8s looping background video per character 📦 everything runs through gltf-transform (resize 1024 → webp q80 → draco) for ~95% size reduction → 400-800 KB GLBs 🖥️ the front-end is a single static index.html: Three.js scene, alpha-mapped marble disc with PlaneGeometry tessellation for real displacementMap depth, mirrored reflection plane, breathing animations on companions, palette-swap via CSS custom properties on character click 🧩 the whole recipe is published as a Claude Code skill fal-regenerate-3d so you can rebuild this yourself → ⚠ metrics shown are decorative
0:42

, webgl experience fully made using fal the pipeline: GPT-Image-2 (or FLUX.2 Klein 9B for the live "create your own") 🦴 meshy v6 image-to-3d takes that → rigged GLB with a baked animation 🐾 GPT-Image-2/edit on the same character → companion creature image, color-locked to the character's palette → meshy v6 again (no rig) → static creature GLB 🪨 PATINA (fal-ai/patina/material/extract) takes the character image and outputs basecolor + normal + roughness + metalness for a per-character floor that matches their environment 🎬 Seedance 2.0 fast → 8s looping background video per character 📦 everything runs through gltf-transform (resize 1024 → webp q80 → draco) for ~95% size reduction → 400-800 KB GLBs 🖥️ the front-end is a single static index.html: Three.js scene, alpha-mapped marble disc with PlaneGeometry tessellation for real displacementMap depth, mirrored reflection plane, breathing animations on companions, palette-swap via CSS custom properties on character click 🧩 the whole recipe is published as a Claude Code skill fal-regenerate-3d so you can rebuild this yourself → ⚠ metrics shown are decorative

Lovis Odin

99,185 görüntüleme • 4 ay önce

I’ve wanted to build this for a while. Lee Sin was my favorite champion back in middle school. 😂 So when I started pushing img2threejs 1.5.1 beyond just generating 3D models, he was the obvious choice. Image → 3D → Animation → VFX → Three.js. This is what 1.5.1 can do now. Opensource: And I’m already working on 1.5.2, a much cleaner pipeline for creating animations and VFX like this without all the manual work. Kind of cool that the champion I loved as a kid is now helping me build my tools.
1:42

I’ve wanted to build this for a while. Lee Sin was my favorite champion back in middle school. 😂 So when I started pushing img2threejs 1.5.1 beyond just generating 3D models, he was the obvious choice. Image → 3D → Animation → VFX → Three.js. This is what 1.5.1 can do now. Opensource: And I’m already working on 1.5.2, a much cleaner pipeline for creating animations and VFX like this without all the manual work. Kind of cool that the champion I loved as a kid is now helping me build my tools.

Nick

10,838 görüntüleme • 9 gün önce

Been playing with a character consistency workflow again. This came from Nexora that starts with a single GPT Image 2.0 character sheet and turns it into a multi-shot cinematic sequence in Seedance 2.0. One thing I added to the workflow: I first comped the character, environment, and visual style together in Midjourney before bringing everything into GPT Image 2.0 to build the character sheet. I also pushed it a bit further by generating multiple characters, destinations, and art directions at the same time, then turning those into production-style character sheets and shot sequences. It's interesting how much consistency you can get from a single well-defined character board when the visual language, wardrobe, and environment are established upfront. Check out three different character + scenes here 👇
0:45

Been playing with a character consistency workflow again. This came from Nexora that starts with a single GPT Image 2.0 character sheet and turns it into a multi-shot cinematic sequence in Seedance 2.0. One thing I added to the workflow: I first comped the character, environment, and visual style together in Midjourney before bringing everything into GPT Image 2.0 to build the character sheet. I also pushed it a bit further by generating multiple characters, destinations, and art directions at the same time, then turning those into production-style character sheets and shot sequences. It's interesting how much consistency you can get from a single well-defined character board when the visual language, wardrobe, and environment are established upfront. Check out three different character + scenes here 👇

Curious Refuge

12,209 görüntüleme • 2 ay önce

Kling O1 is GOATED! No Cap! Kling AI -Replace characters with a single reference image or element -Change styles with a video reference and prompt -Add visual FX with ease -Change environments -Quality coherency and outputs from both text and image to video. -So much more! Try it now on OpenArt (Link in the comments! 👇)
0:52

Kling O1 is GOATED! No Cap! Kling AI -Replace characters with a single reference image or element -Change styles with a video reference and prompt -Add visual FX with ease -Change environments -Quality coherency and outputs from both text and image to video. -So much more! Try it now on OpenArt (Link in the comments! 👇)

OpenArt

32,119 görüntüleme • 9 ay önce

We just tested what might be the most accurate motion transfer workflow we've seen so far. It's a little more involved than a standard workflow, but the results are pretty impressive. Here's the basic workflow: 1. Start with your reference footage. Create character and environment references. 2. Convert the reference footage into a depth map (with Depth-Anything tool on Fal: 3. (Optional) Layer on additional guidance like colorized character masks (with Meta's Segment Anything: and or skeleton poses (with 4. Feed the depth map into Seedance 2.0 Omni as your motion reference along with your character and environment references. 5. Generate your final video. After testing several variations, the depth map workflow consistently produced the cleanest and most accurate motion transfer. If you're trying to recreate specific performances or complex movement, this is one of the closest AI workflows we've seen to achieving production-quality results.
11:34

We just tested what might be the most accurate motion transfer workflow we've seen so far. It's a little more involved than a standard workflow, but the results are pretty impressive. Here's the basic workflow: 1. Start with your reference footage. Create character and environment references. 2. Convert the reference footage into a depth map (with Depth-Anything tool on Fal: 3. (Optional) Layer on additional guidance like colorized character masks (with Meta's Segment Anything: and or skeleton poses (with 4. Feed the depth map into Seedance 2.0 Omni as your motion reference along with your character and environment references. 5. Generate your final video. After testing several variations, the depth map workflow consistently produced the cleanest and most accurate motion transfer. If you're trying to recreate specific performances or complex movement, this is one of the closest AI workflows we've seen to achieving production-quality results.

Curious Refuge

30,397 görüntüleme • 1 ay önce

A Chinese creator found a way to sell $3,000-$5,000 brand videos with no team, no camera crew, and no agency. no film crew. no editor. no storyboard artist. just one ComfyUI canvas turning product photos into finished AI ads. > GPT-image2 builds the director board: shots, camera moves, scenes, sound design > Seedance 2.0 turns the board into motion > product reference locks the object > character reference locks the face, outfit, and style > 16:9. 4K. one visual plan. > final prompt: generate the video from this storyboard old workflow: brand → agency → director → editor → revisions → invoice new workflow: product image → storyboard → reference sheet → video the expensive part was never rendering.
2:03

A Chinese creator found a way to sell $3,000-$5,000 brand videos with no team, no camera crew, and no agency. no film crew. no editor. no storyboard artist. just one ComfyUI canvas turning product photos into finished AI ads. > GPT-image2 builds the director board: shots, camera moves, scenes, sound design > Seedance 2.0 turns the board into motion > product reference locks the object > character reference locks the face, outfit, and style > 16:9. 4K. one visual plan. > final prompt: generate the video from this storyboard old workflow: brand → agency → director → editor → revisions → invoice new workflow: product image → storyboard → reference sheet → video the expensive part was never rendering.

0xTria

15,847 görüntüleme • 2 ay önce

Seedance Playblast 2 Render Demo: VFX artist Doug Hogan built a workflow in ComfyUI that takes a raw Playblast and turns it into a finished shot using Seedance 2.0 - no traditional rendering pipeline. → Playblast = motion ground truth → Nanobanana Pro multi-angle grids = asset identity → Gemini node = auto-generated structured prompt → Seedance 2.0 ties it all together Raw CG animation → finished shot in minutes instead of hours. Click the link below for the workflow👇
2:53

Seedance Playblast 2 Render Demo: VFX artist Doug Hogan built a workflow in ComfyUI that takes a raw Playblast and turns it into a finished shot using Seedance 2.0 - no traditional rendering pipeline. → Playblast = motion ground truth → Nanobanana Pro multi-angle grids = asset identity → Gemini node = auto-generated structured prompt → Seedance 2.0 ties it all together Raw CG animation → finished shot in minutes instead of hours. Click the link below for the workflow👇

ComfyUI

13,957 görüntüleme • 2 ay önce

I built an app with Claude Opus 4.5, then animated it with this new tool I found... This new iOS design workflow let me animate a character for my onboarding. Here it is: 1. build the app using Claude Code within 2. entered image of my mascot into 3. copied animation code from there back into vibecode
0:30

I built an app with Claude Opus 4.5, then animated it with this new tool I found... This new iOS design workflow let me animate a character for my onboarding. Here it is: 1. build the app using Claude Code within 2. entered image of my mascot into 3. copied animation code from there back into vibecode

Emily Lambert

290,886 görüntüleme • 8 ay önce

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.
0:56

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.

Nekt0

14,833 görüntüleme • 2 ay önce

How lighting works in Simulon Using a professional on-set VFX kit, we showcase our unique Image Based Lighting system. Simulon employs ML to create a 360° HDRI from just one LDR shot, aligning it perfectly with scene data. Our virtual camera replicates the physical camera’s response to light, syncing seamlessly with the HDR info. Notice how the dynamic exposure changes on the virtual VFX kit closely match the real one. Bonus: At the end of the video I place a 3D Dragon in the scene and make a capture, this capture is then rendered in the cloud to produce a photorealistic VFX video 🐉 More on the capture and render process in upcoming videos!
2:00

How lighting works in Simulon Using a professional on-set VFX kit, we showcase our unique Image Based Lighting system. Simulon employs ML to create a 360° HDRI from just one LDR shot, aligning it perfectly with scene data. Our virtual camera replicates the physical camera’s response to light, syncing seamlessly with the HDR info. Notice how the dynamic exposure changes on the virtual VFX kit closely match the real one. Bonus: At the end of the video I place a 3D Dragon in the scene and make a capture, this capture is then rendered in the cloud to produce a photorealistic VFX video 🐉 More on the capture and render process in upcoming videos!

Divesh Naidoo

275,172 görüntüleme • 3 yıl önce

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:
0:49

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:

The Bugged Dev

104,609 görüntüleme • 1 ay önce