Free guided fox rigging demo
Checked November 7, 2026

Files
fox-static.glb: static starting model; no skeleton or animation.
fox-walk-setup.json: saved marker positions for this exact source file.
fox-walk.glb: freshly exported rig and one Fox / Walk animation.
CC0-QUATERNIUS.txt: the original animal-pack license.

Try it
1. Open https://app.cinevva.com/tools/guided-rigging on a desktop browser.
2. Choose model, then open fox-static.glb. Wait for the model to finish loading.
3. Open Fine-tune & saved setups. Choose Restore setup and open
   fox-walk-setup.json. The tool checks that the setup matches this model.
4. Check the front leg spacing, choose Check back legs, and check the rear legs.
   Animation set should be Fox; animation should be Walk.
5. Choose Preview animation. Inspect Side and Front views; use Slow or Pause
   to check the legs, head and tail. Adjust markers if the result needs work.
6. When satisfied, check "I've checked the bends and feet from both views."
   Choose Download GLB. Reopen the saved file in your intended viewer or app.

Where it comes from
The character and authored motion are by Quaternius, CC0 1.0.
https://quaternius.com/
The source is the animal-pack Fox mesh with its original skin and animation
removed. The original license is included unchanged. Cinevva's guided tool
fits a rig and transfers the existing authored Fox Walk. It does not generate
this fox from an image or invent a new motion.

What was checked
The local Cinevva browser tool loaded the static model, restored this setup,
built the preview, exported and reopened the GLB, then saved it through the
Download GLB control. The downloaded output was separately imported into
Blender 5.0.1 and its deformation sampled at 13 points in the animation.
The file keeps 1,848 triangles, 5 materials, 51 joints and one animation.
It needs no external images or buffers. Source material colors are preserved.

Limits
Saved markers were restored; the six markers were not newly placed by hand.
No paid rigging, model generation, upload or provider job was performed.
The same-source animal is a reproducible example, not a quality benchmark
for arbitrary uploads. No mobile, Unity, Unreal or Godot test is claimed.
Visual inspection is still required; file preservation is not a quality score.

Detailed measurements and hashes:
https://app.cinevva.com/guides/workflow-demos/verification.json
