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NVIDIA / nvidia/SOMA-X · v0.3.5

SOMA-X v0.3.5

A parametric human-body system for reconstruction, animation and simulation, with an optional neural corrective model. Version 0.3.5, published on November 2, updates the corrective artifact for uncommon poses. Its geometric core is analytical: it is neither a video generator nor a language model.

01 / SUMMARY

The essential

ORIENTATIONParametric human body and correctives

Primary use stated or inferred cautiously from official documentation.

CONTEXTPose and identity parameters

Maximum input capacity when published by the source.

EXITBody and hand geometry

Documented maximum generation limit.

ACCESSHugging Face and GitHub

Verified availability channels.

MODEL TYPE3D and motion · Robotics

Primary functional family and verified specialties.

LICENSEApache 2.0

Declared terms for API access, model weights, or self-hosting.

02 / TECHNICAL SHEET

Limits and integration

API IDnvidia/SOMA-X · v0.3.5
Model type3D and motion · Robotics
Access modelOpen weights
LicenseApache 2.0
DeploymentSelf-hosted
Release02 NOV 2026
Knowledge cutoffNot published
EntrancePose and identity tensors
Exit3D meshes and joints
Context windowPose and identity parameters
maximum outputBody and hand geometry
ReasoningNot published
Published tools
Structured OutingsNot published
Batch processingNot published
Prompt cacheNot published
Fine-tuningNot published
Verified platformsHugging Face · PyTorch · NVIDIA Warp
BEST SUITED FOR

Research avatars, body reconstruction and simulation with explicit pose and identity control.

WORTH MONITORING

The core has no learned neural parameters; the optional corrective model does. External identity models may require separate licenses. Speed figures from earlier versions do not establish 0.3.5 performance.

03 / CAPABILITIES

What it can do

01

Orientation

Research avatars, body reconstruction and simulation with explicit pose and identity control.

02

Context

Pose and identity parameters · Body and hand geometry

03

Tools and integration

Not published

04

Access

Hugging Face and GitHub

Input modalities
Pose and identity tensors
04 / PRICES

Documented cost

ConceptWorthUnit/condition
Standard inputNo published official API rateStandard API rate
Cached inputNot publishedReading reused prefixes
Cache write or storageNot publishedThe condition varies by provider
Standard outputSelf-hosted infrastructure costMay include reasoning tokens
Batch inputNot publishedAsynchronous processing
Batch outputNot publishedAsynchronous processing

The project declares Apache 2.0, with separate terms for external resources such as MANO or SMPL. No commercial API or per-token pricing is verified. Budget for infrastructure and review each backend’s licenses.

i Prices change and may depend on level, region or context length. Check the source before making a decision.

05 / EVALUATIONS

How to read the results

“

The release note describes an improvement for uncommon poses, without a specific quantitative score. Overall measurements from previous versions are not attributed to the new corrective model. Evaluation should measure geometric errors and pose stability on your own data.

i Documented qualitative change; no verified benchmark specific to 0.3.5.

Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.

06 / VERSIONS

Chronology

SOMA-X v0.3.5

Version added to Inferama's verified catalog.

07 / SOURCES

Traceability