---
title: 4DAnyone × Rerun
emoji: 🕺
colorFrom: indigo
colorTo: pink
sdk: gradio
app_file: app.py
python_version: 3.11
pinned: false
short_description: One monocular clip of a person becomes six novel views
---

# 4DAnyone × Rerun

Upload a clip of a person. GVHMR recovers the SMPL-X motion, a Wan 2.2 diffusion
transformer generates six synchronized views around the subject, and every phase
streams into the embedded Rerun viewer while it happens.

## What you watch

The run is one four-link Gradio event chain, and the viewer's layout switches
with it:

1. **Motion** — the source clip beside its detections. GVHMR's tracked boxes and
   ViTPose keypoints appear on the `frame` timeline as each stage completes, and
   the posed SMPL-X body lands at the end.
2. **Diffusion** — a 2×3 grid of per-view previews on a `diffusion_step`
   timeline. Turbo mode takes four steps; after each one the clean latent
   estimate is decoded through TAEW2.2 at eight frames per view. Every preview
   is stamped on both `diffusion_step` and `frame`.
3. **Result** — the camera rig in the canonical human world, the six generated
   MP4s in a grid, and the `frame` timeline playing on a loop.

## Files

- `app.py` — the Hugging Face entrypoint. Standard library only; it installs the
  pinned Pixi CLI when absent and runs the locked `app` task.
- `fdanyone_app.py` — the whole application: validation, the ZeroGPU callbacks,
  the Rerun choreography, and the Gradio interface.
- `download_assets.py` — every CPU-side download, idempotent, run before Gradio
  starts.
- `sync_vendor.sh` and `PROVENANCE.md` — how `fdanyone/` got here and from where.
- `pixi.toml` and `pixi.lock` — the complete CUDA 13, PyTorch 2.12.1, Rerun
  0.36.1, Gradio 6.20.0 environment, locked for `linux-64` and `linux-aarch64`.

## Streaming mechanics

`prepare_run` and `generate_run` are single blocking calls that report progress
through synchronous hooks. The `@spaces.GPU` callback therefore runs each
pipeline call on a worker thread and yields `BinaryStream.read()` as the hooks
fill an explicit `RecordingStream`. Yielding from inside a hook is impossible,
and yielding only after the call returns would leave the viewer blank for
minutes. The recording is an explicit object rather than a thread-local one,
which is what makes cross-thread logging safe.

`spaces.GPU` runs its callback in a forked child process, and that shapes the
rest. A `RecordingStream` cannot cross the fork — the SDK refuses to flush one
whose pid has changed — so every link opens its own stream under the run's
token and the viewer merges same-token streams into one recording. Run state
cannot cross it either: the chain passes a picklable `RunSpec`, and motion and
generation share one link because `PreparedRun` holds decoded frames and a live
barrier that no pickle can carry into another worker. Inside that child the
pipeline runs with `inline_workers=True`, because a grandchild of its own would
not hold the GPU allocation.

## Fixed policy

- Turbo mode: four denoising steps, FP8 DiT, the pinned Wan2.2 Turbo-LoRA, the
  TAEW2.2 tiny decoder, and NVDEC skeleton decode.
- Six views on one ring pitched 15° above the subject, spanning 360°. Six or
  fewer targets skip the RCP proposal stage entirely.
- The frozen 121-frame, 1280×704 contract. Inputs shorter than 121 frames from
  the chosen start time are rejected on CPU, before any GPU work.
- The fixed prompt ships as an exported embedding, so the 11 GB UMT5-XXL encoder
  is never downloaded and never loaded.

## Run it locally

On a CUDA 13 host with `HF_TOKEN` set for the private asset mirror:

```bash
CONDA_OVERRIDE_CUDA=13.0 pixi run --frozen app
```

`FDANYONE_MODEL_DIR` (default `models`) and `FDANYONE_DATA_DIR` (default `data`)
move the weights and the scratch tree. `pixi run test` runs the unit tests for
the pure helpers.

## Compatibility notes

- `gradio==6.20.0`, `gradio-rerun==0.36.1`, and `rerun-sdk==0.36.1` belong
  together. Gradio 6.21 through 6.26 carry a frontend regression that remounts
  custom components on every output update, which stops the Rerun WebViewer
  mid-stream.
- `transformers` is 5.x, not the source repository's 4.57. BiRefNet is loaded
  through `AutoModelForImageSegmentation` with `trust_remote_code`, and its
  custom code only needs `PretrainedConfig` and `PreTrainedModel`. Transformers
  4.x caps `huggingface_hub` below 1.0, which Gradio 6.20 forbids.
- Start the app through `pixi run`, never by calling the environment's `python`
  directly. Turbo mode compiles the DiT with Triton, and conda-forge's Triton
  finds a Blackwell-capable `ptxas` through `$CONDA_PREFIX`, which only the
  activation sets. Without it the compile fails with `Cannot find
  ptxas-blackwell`.
- SageAttention is built from source: no wheel exists for sm_120 or sm_121.
  `TORCH_CUDA_ARCH_LIST=12.0` is set for `linux-64` only, because a Space build
  host has no GPU to detect; `linux-aarch64` detects its GB10 natively.

## Credits

4DAnyone by [Ant Research](https://github.com/ant-research/4DAnyone).
[GVHMR](https://github.com/zju3dv/GVHMR) by ZJU3DV.
[TAEHV](https://github.com/madebyollin/taehv) by Ollin Boer Bohan.