autoposer is an open-weight model from Animatica AI, released under other. It has 40M parameters. At 16-bit it needs about 0.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 535 downloads a month.
A neural autoposer for full-body character rigs. Give it a handful of handles — where a hand should be, where the feet are planted, which way the head looks — and it returns a complete, natural pose for a 30-joint skeleton.
Runs On
What it takes to serve autoposer (40M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 0.1 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 18, 2026.
autoposer on every accelerator the SAVRN Index prices, at every precision
Model Card
A neural autoposer for full-body character rigs. Give it a handful of handles — where a hand should be, where the feet are planted, which way the head looks — and it returns a complete, natural pose for a 30-joint skeleton. It is what makes posing in the Animatica Blender add-on feel like moving a character rather than rotating thirty bones. It is a poser, not an animator: one pose per call, a few milliseconds each, no motion model and no temporal state. Ask it once per frame and you have an editable animation; ask it once and you have a pose. Any number of effectors, in any combination. Each carries a tolerance — metres of slack — so a handle can be an exact pin or a loose suggestion the…
Excerpt from the card by Animatica AI, licensed other.
Identity and Version
- Repository
- Animatica-ai/autoposer
- Publisher
- Animatica AI
- Task
- Not stated by the source
- Modality
- Other
- Library
- onnxruntime
- Parameters
- 40M parameters
- Languages
- Not stated by the source
- Revision
- 792cc2f0f2ca210b8bb5eaab781c6b0f388d458b
- First published
- 2026-07-30
- Last updated
- 2026-09-18
Files and Weights
7 files, 311.3 MB in total. The weights are 3 files totalling 311.2 MB in onnx, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 160.8 MB | f43134df04c0 |
| onnx/ik.onnx | Weights | 2.0 MB | 0ff3815ad7cc |
| onnx/poser.onnx | Weights | 148.4 MB | d75271f71d84 |
| config.json | Configuration | 2.2 KB | — |
| onnx/meta.json | Configuration | 34.4 KB | — |
| README.md | Documentation | 7.3 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- other
- Access
- Open weights, no gate
- Download size
- 311.2 MB
Released by Animatica AI through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 311.2 MB |
| 16-bit | 0.1 GB |
| 8-bit | 0.0 GB |
| 4-bit | 0.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About autoposer
How much GPU memory does autoposer need?
About 0.1 GB at 16-bit and 0 GB at 4-bit: the weights (40M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run autoposer on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
What license is autoposer released under?
other, as its publisher declares it. Read the license text before commercial use.