BasinShapers/unimate-webgpu
AI model by BasinShapers
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The UniMate text-to-motion model and its Flan-T5-base text encoder, packed for generating skeletal animation entirely in the browser with the Kaminos WebGPU inference kit. Give it a skeleton and a prompt such as "A dog runs forward.", and the visitor's own GPU generates a two-second, 30 fps animation for that body. No server-side compute is involved. Try it in your browser · Source The page downloads about 370 MB once (the float16 copies) and caches it. On an Apple M4 Max a clip takes about 10 seconds for the 18-joint Go2 robot dog and about 30 seconds for the 51-joint dog, while the page's 3D scene keeps drawing. The browser port matches the reference PyTorch implementation: one network evaluation agrees to a relative error of about 1.5 × 10⁻⁶, and a whole generation from the same starting noise reproduces the reference animation. Each weight folder has a manifest listing every…
Read the full model card ↗ · Preview checked 2026-10-30T00:18:21.750Z
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Model overview
BasinShapers/unimate-webgpu is a task-unspecified model repository published by BasinShapers on Hugging Face. The source reports the kaminos library.
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Model facts
- Task
- Not reported
- Library
- kaminos
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-13T06:17:32.000Z
- Last modified
- 2026-10-13T06:22:04.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Linzhan/UniMate
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-13T06:41:58.956Z. Daily imports are snapshots, not real-time monitoring.
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