AI Can Now Animate Any Monster. Opus 5.5 Built the Tool
Long-form9:19GamingPublished Oct 17, 2026, 6:14 PM · 2d ago
Views
71,279
+807 views/hour
Views / hour now
807
measured 9m ago
Peak views / hour
1.6K
15h ago
First 24 hours
—
not tracked from upload
Engagement
2.7%
likes + comments / views
Likes
1.6K
2.3% of views
Comments
261
0.37% of views
Est. ad revenue
$499–$1,140
lifetime, $7–16 RPM
Checked every 3 h while the video is this age · last check 9m ago · next in 171 min. YouTube itself updates public counts with a short delay.
Avg views / day
31.7K
since upload
vs channel median
1.5×
this video's views ÷ the channel's usual
Rank in channel
#7
of 20 tracked
Views over time
31 readings
Total views Views gained per hour
Description
My Patronite: https://www.patreon.com/c/CanItCode
A troll, a wyvern, a centaur with a sword. For people there is motion capture and Mixamo. For monsters there is nothing. So Claude Opus 5.5 and I built our own way: Seedance films our monster moving, and our tool finds every joint in that video and puts the move on the monster's own skeleton in Blender, ready for the game.
In this video:
- Where it started: a deer from our game, one camera, and legs that kept crossing
- Seedance with two cameras in one picture
- Every tool we tried and why it broke: point tracking from Google DeepMind, SAM 2, Depth Anything, painted legs, animal pose (AP-10K), MoCapAnything
- The rethink: one problem to solve, every joint in every frame
- A skeleton for any 3D model with UniRig
- DINO from Meta, taught on our troll in about 30 minutes, reads every joint
- The exam every change to the tool has to pass
- Depth, take two
- From A to Z: model, skeleton, Seedance, joints, Blender, game
- Before: 4 days with Opus checking every frame. Now: minutes
- What it still can't do
Would you like to try it? Tell me in the comments.
My last video, NVIDIA Kimodo: [LINK]
Patreon: https://www.patreon.com/CanItCode
Chapters
00:00 Intro
00:42 Every way we tried
01:20 Where it started: the deer
02:27 Seedance with two cameras
03:22 Shopping: point tracking
03:48 SAM 2 outlines
04:06 Depth Anything
04:28 Painted legs
05:00 Animal pose
05:14 MoCapAnything
05:29 The rethink
05:54 A skeleton with UniRig
06:27 DINO reads every joint
07:40 The exam
08:32 Depth, take two
09:08 From A to Z
09:32 4 days vs minutes
09:48 The limits
Sources
- AI video: Seedance 2.5 (ByteDance Seed). 3D models: Tripo (tripo3d.ai).
- Skeleton: UniRig (github.com/VAST-AI-Research/UniRig). Joint reader: DINOv2 from Meta (github.com/facebookresearch/dinov2).
- Tools we tried: BootsTAPIR point tracking from Google DeepMind (github.com/google-deepmind/tapnet), SAM 2 from Meta (github.com/facebookresearch/sam2), Depth Anything V2 (github.com/DepthAnything/Depth-Anything-V2), ViTPose++ with AP-10K, MoCapAnything.
- In the intro: NVIDIA Kimodo (github.com/nv-tlabs/kimodo) and Mixamo.
- Built in Blender and Godot 4.7. Code and scripts: Claude Opus 5.5. Music: Nocturnal Pads.
Tags
AI codingcan it codeAI builds a gameAI game developmentGodotGodot 4AI coding challengeGPT vs ClaudeClaude vs GPTAI vs AILLM comparisonAI programmingcoding with AIvibe codinggame devindie game devartificial intelligenceAI experimentsGPT 5Claude OpusGLM
Details
- Published
- Oct 17, 2026, 6:14 PM
- Length
- 9:19 (559 s)
- Format
- Long-form
- Category
- Gaming
- Audio language
- EN-US
- Quality
- HD
- Captions
- Yes
- Made for kids
- No
- Licensed content
- Yes
- Video ID
- AS92HYsEBqo
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