# Models (/docs/guides/supported-models)



## Use This Page [#use-this-page]

Use this page when you need to pick a model, check whether it can run on your machine, or understand what a support label means. The table names below are catalog groups, not separate commands. For day-to-day use, start from the CLI:

| Goal                                                     | Command                                                                            |
| -------------------------------------------------------- | ---------------------------------------------------------------------------------- |
| List known model ids and aliases                         | `worldfoundry-eval zoo models --json`                                              |
| View one model manifest                                  | `worldfoundry-eval zoo model-show --model-id <model-id> --include-manifest --json` |
| Check local checkpoints, credentials, and asset blockers | `worldfoundry-eval zoo model-download --model-id <model-id> --check-local --json`  |
| List runtime runners                                     | `worldfoundry-eval models runtime-runners --json`                                  |

## Run inference [#run-inference]

With a prepared `requests.jsonl`, generate artifacts via the pipeline runner:

```bash
worldfoundry-eval evaluate \
  --mode model \
  --model-id <model-id> \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval \
  --metric artifact_count \
  --required-artifact video \
  --json
```

For the full inference flow (environment, checkpoints, Studio), see the [Inference guide](/docs/guides/inference).

## Output files [#output-files]

| File                   | Purpose                                                     |
| ---------------------- | ----------------------------------------------------------- |
| `run_manifest.json`    | Run id, model, benchmark metadata, timestamps, output paths |
| `results.jsonl`        | Per-sample status, artifacts, timing                        |
| `metrics/summary.json` | Aggregated metrics                                          |
| `scorecard.json`       | Leaderboard eligibility and blocking reasons                |

## When a run fails [#when-a-run-fails]

1. `zoo model-show --include-manifest` — integration status and blockers
2. `zoo model-download --check-local` — checkpoint, credential, and asset readiness
3. Cross-check the benchmark page for required datasets, API keys, and generated-output layout
4. Cross-check the model registry below for runner evidence on that model id

## Choosing a Model [#choosing-a-model]

Before spending GPU time, answer these questions in order:

| Question                             | What to check                                                                                                                                                        |
| ------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Is the model known to WorldFoundry?  | It appears in `worldfoundry-eval zoo models --json` and has a stable `model_id`.                                                                                     |
| Can this repo route the model?       | The manifest resolves through a runner and pipeline binding. `runtime_ported` means the route exists, but real checkpoint/API/simulator parity may still be pending. |
| Can it run in your environment?      | `zoo model-download --check-local`, `models assets`, and the benchmark page report required checkpoints, API keys, datasets, or simulators.                          |
| Is it benchmark-ready for your task? | The model has evidence for the specific benchmark or artifact type you plan to run. Video, 3D, world-action, and VLA tasks require different evidence.               |

## Reading Catalog Rows [#reading-catalog-rows]

| Column          | Meaning                                                                        |
| --------------- | ------------------------------------------------------------------------------ |
| Family          | Public project or provider family. Variants may still have separate manifests. |
| Capability      | What the model can produce or predict in WorldFoundry terms.                   |
| Runtime         | `local`, `official repo`, `subprocess`, `hosted API`, or mixed.                |
| Evidence target | The next useful proof before a stronger public claim.                          |

## Current coverage summary [#current-coverage-summary]

WorldFoundry tracks model support at the manifest, runner, and benchmark-evidence levels. Use this summary to find the right model group first, then inspect the exact model id with `zoo model-show`.

| Catalog directory                                  | Entries | What it covers                                                                                                                                                                                                              | Representative ids                                                                                                  |
| -------------------------------------------------- | ------: | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
| `worldfoundry/data/models/catalog/video/`          |      48 | Video, audio, and multimodal generation catalog (merged from `video_open` and `video_pipeline_runner`). Includes open-source provenance records and pipeline-bound runtime integrations.                                    | `wan2.1`, `hunyuanvideo`, `animatediff`, `zeroscope`, `step-video-t2v`, `sana`, `vmem`, `krea-realtime-video`.      |
| `worldfoundry/data/models/catalog/world_models/`   |      69 | Interactive world-model and simulator catalog (merged from `world_models` and `world_pipeline_runner`).                                                                                                                     | `matrix-game-2`, `lingbot-world`, `hunyuanworld-voyager`, `diamond`, `dino-wm`, `leworldmodel`, `starwm`, `irasim`. |
| `worldfoundry/data/models/catalog/three_d_four_d/` |      47 | 3D/4D generation, reconstruction, point-cloud, geometry, scene-representation, and perception-prior records. Status mix: 25 integrated, 10 `runtime_ported`, 10 blocked, 2 planned; most resolve through pipeline bindings. | `flashworld`, `fantasyworld`, `dust3r`, `monst3r`, `splatt3r`, `pixelsplat`, `vggt-omega`, `dvlt`.                  |
| `worldfoundry/data/models/catalog/vla_va_wam/`     |      42 | VLA, VA, WAM, robot-policy, and embodied-action records. All entries expose runner targets and bindings; most are `runtime_ported`, while full policy/runtime claims remain checkpoint and simulator gated.                 | `openvla`, `openpi`, `pi0-fast`, `smolvla`, `xvla`, `eo1`, `tdmpc`, `vqbet`, `wall-oss`, `act`.                     |

## Model source registry [#model-source-registry]

This registry combines `worldfoundry/data/models/catalog` manifests with official paper, project-page, and source links confirmed for this docs surface. When a separate paper, project page, or code repository is not published, the closest official model card, source page, or project URL is used.

### Open video models [#open-video-models]

Upstream video-generation families and in-tree runtime or metadata records. Support levels vary: some ids have verified local generation paths, others are checkpoint-gated wrappers, hosted/API-shaped entries, or provenance-only. Use catalog readiness and `zoo model-show` before treating a row as runnable.

<details>
  <summary>
    <strong>Wan2.1</strong>

     (

    `wan2.1`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2503.20314](https://arxiv.org/abs/2503.20314)
  * **Project**: [https://wan.video/](https://wan.video/)
  * **GitHub**: [https://github.com/Wan-Video/Wan2.1](https://github.com/Wan-Video/Wan2.1)
</details>

<details>
  <summary>
    <strong>Wan2.2</strong>

     (

    `wan2.2`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video, text-image-to-video
  * **Paper**: [https://arxiv.org/abs/2503.20314](https://arxiv.org/abs/2503.20314)
  * **Project**: [https://wan.video/](https://wan.video/)
  * **GitHub**: [https://github.com/Wan-Video/Wan2.2](https://github.com/Wan-Video/Wan2.2)
</details>

<details>
  <summary>
    <strong>HunyuanVideo</strong>

     (

    `hunyuanvideo`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2412.03603](https://arxiv.org/abs/2412.03603)
  * **Project**: [https://aivideo.hunyuan.tencent.com/](https://aivideo.hunyuan.tencent.com/)
  * **GitHub**: [https://github.com/Tencent-Hunyuan/HunyuanVideo](https://github.com/Tencent-Hunyuan/HunyuanVideo)
</details>

<details>
  <summary>
    <strong>LTX-Video</strong>

     (

    `ltx-video`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2501.00103](https://arxiv.org/abs/2501.00103)
  * **Project**: [https://ltx.video/](https://ltx.video/)
  * **GitHub**: [https://github.com/Lightricks/LTX-Video](https://github.com/Lightricks/LTX-Video)
</details>

<details>
  <summary>
    <strong>LTX-2.x</strong>

     (

    `ltx-2.x`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video, video-to-video, audio-video-generation
  * **Paper**: [https://arxiv.org/abs/2601.03233](https://arxiv.org/abs/2601.03233)
  * **Project**: [https://ltx.video/](https://ltx.video/)
  * **GitHub**: [https://github.com/Lightricks/LTX-Video](https://github.com/Lightricks/LTX-Video)
</details>

<details>
  <summary>
    <strong>CogVideoX</strong>

     (

    `cogvideox`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2408.06072](https://arxiv.org/abs/2408.06072)
  * **Project**: [https://yzy-thu.github.io/CogVideoX-demo/](https://yzy-thu.github.io/CogVideoX-demo/)
  * **GitHub**: [https://github.com/THUDM/CogVideo](https://github.com/THUDM/CogVideo)
</details>

<details>
  <summary>
    <strong>Open-Sora</strong>

     (

    `open-sora`

    )
  </summary>

  * **Capability**: text-to-video
  * **Paper**: [https://arxiv.org/abs/2412.20404](https://arxiv.org/abs/2412.20404)
  * **Project**: [https://hpcaitech.github.io/Open-Sora/](https://hpcaitech.github.io/Open-Sora/)
  * **GitHub**: [https://github.com/hpcaitech/Open-Sora](https://github.com/hpcaitech/Open-Sora)
</details>

<details>
  <summary>
    <strong>Open-Sora-Plan</strong>

     (

    `open-sora-plan`

    )
  </summary>

  * **Capability**: text-to-video
  * **Paper**: [https://arxiv.org/abs/2412.00131](https://arxiv.org/abs/2412.00131)
  * **Project**: [https://github.com/PKU-YuanGroup/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan)
  * **GitHub**: [https://github.com/PKU-YuanGroup/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan)
</details>

<details>
  <summary>
    <strong>Mochi-1</strong>

     (

    `mochi-1`

    )
  </summary>

  * **Capability**: text-to-video
  * **Paper**: [https://huggingface.co/genmo/mochi-1-preview](https://huggingface.co/genmo/mochi-1-preview)
  * **Project**: [https://www.genmo.ai/play](https://www.genmo.ai/play)
  * **GitHub**: [https://github.com/genmoai/mochi](https://github.com/genmoai/mochi)
</details>

<details>
  <summary>
    <strong>Allegro</strong>

     (

    `allegro`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2410.15458](https://arxiv.org/abs/2410.15458)
  * **Project**: [https://rhymes.ai/allegro\_gallery](https://rhymes.ai/allegro_gallery)
  * **GitHub**: [https://github.com/rhymes-ai/Allegro](https://github.com/rhymes-ai/Allegro)
</details>

<details>
  <summary>
    <strong>EasyAnimate</strong>

     (

    `easyanimate`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video, video-to-video
  * **Paper**: [https://arxiv.org/abs/2405.18991](https://arxiv.org/abs/2405.18991)
  * **Project**: [https://easyanimate.github.io/](https://easyanimate.github.io/)
  * **GitHub**: [https://github.com/aigc-apps/EasyAnimate](https://github.com/aigc-apps/EasyAnimate)
</details>

<details>
  <summary>
    <strong>VideoCrafter</strong>

     (

    `videocrafter`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2401.09047](https://arxiv.org/abs/2401.09047)
  * **Project**: [https://ailab-cvc.github.io/videocrafter2/](https://ailab-cvc.github.io/videocrafter2/)
  * **GitHub**: [https://github.com/VideoCrafter/VideoCrafter](https://github.com/VideoCrafter/VideoCrafter)
</details>

<details>
  <summary>
    <strong>DynamiCrafter</strong>

     (

    `dynamicrafter`

    )
  </summary>

  * **Capability**: image-to-video
  * **Paper**: [https://arxiv.org/abs/2310.12190](https://arxiv.org/abs/2310.12190)
  * **Project**: [https://doubiiu.github.io/projects/DynamiCrafter/](https://doubiiu.github.io/projects/DynamiCrafter/)
  * **GitHub**: [https://github.com/Doubiiu/DynamiCrafter](https://github.com/Doubiiu/DynamiCrafter)
</details>

<details>
  <summary>
    <strong>I2VGen-XL</strong>

     (

    `i2vgen-xl`

    )
  </summary>

  * **Capability**: image-to-video, text-to-video
  * **Paper**: [https://arxiv.org/abs/2311.04145](https://arxiv.org/abs/2311.04145)
  * **Project**: [https://i2vgen-xl.github.io/](https://i2vgen-xl.github.io/)
  * **GitHub**: [https://github.com/ali-vilab/i2vgen-xl](https://github.com/ali-vilab/i2vgen-xl)
</details>

<details>
  <summary>
    <strong>ModelScopeT2V</strong>

     (

    `modelscope-t2v`

    )
  </summary>

  * **Capability**: text-to-video
  * **Paper**: [https://arxiv.org/abs/2308.06571](https://arxiv.org/abs/2308.06571)
  * **Project**: [https://modelscope.cn/models/damo/text-to-video-synthesis/summary](https://modelscope.cn/models/damo/text-to-video-synthesis/summary)
  * **GitHub**: [https://github.com/modelscope/modelscope](https://github.com/modelscope/modelscope)
</details>

<details>
  <summary>
    <strong>HunyuanVideo 1.5</strong>

     (

    `hunyuanvideo-1.5`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2511.18870](https://arxiv.org/abs/2511.18870)
  * **Project**: [https://hunyuan.tencent.com/video/zh?tabIndex=0](https://hunyuan.tencent.com/video/zh?tabIndex=0)
  * **GitHub**: [https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5](https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5)
</details>

<details>
  <summary>
    <strong>SkyReels-V2</strong>

     (

    `skyreels-v2`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2504.13074](https://arxiv.org/abs/2504.13074)
  * **Project**: [https://github.com/SkyworkAI/SkyReels-V2](https://github.com/SkyworkAI/SkyReels-V2)
  * **GitHub**: [https://github.com/SkyworkAI/SkyReels-V2](https://github.com/SkyworkAI/SkyReels-V2)
</details>

<details>
  <summary>
    <strong>MAGI-1</strong>

     (

    `magi-1`

    )
  </summary>

  * **Capability**: image-to-video, video-generation
  * **Paper**: [https://arxiv.org/abs/2505.13211](https://arxiv.org/abs/2505.13211)
  * **Project**: [https://magi.sand.ai/](https://magi.sand.ai/)
  * **GitHub**: [https://github.com/SandAI-org/MAGI-1](https://github.com/SandAI-org/MAGI-1)
</details>

<details>
  <summary>
    <strong>FramePack</strong>

     (

    `framepack`

    )
  </summary>

  * **Capability**: image-to-video, long-video
  * **Paper**: [https://arxiv.org/abs/2504.12626](https://arxiv.org/abs/2504.12626)
  * **Project**: [https://lllyasviel.github.io/frame\_pack\_gitpage/](https://lllyasviel.github.io/frame_pack_gitpage/)
  * **GitHub**: [https://github.com/lllyasviel/FramePack](https://github.com/lllyasviel/FramePack)
</details>

<details>
  <summary>
    <strong>Step-Video-T2V</strong>

     (

    `step-video-t2v`

    )
  </summary>

  * **Capability**: text-to-video, video-generation
  * **Paper**: [https://arxiv.org/abs/2502.10248](https://arxiv.org/abs/2502.10248)
  * **Project**: [https://yuewen.cn/videos](https://yuewen.cn/videos)
  * **GitHub**: [https://github.com/stepfun-ai/Step-Video-T2V](https://github.com/stepfun-ai/Step-Video-T2V)
</details>

<details>
  <summary>
    <strong>Open-MAGVIT2</strong>

     (

    `open-magvit2`

    )
  </summary>

  * **Capability**: video-tokenization, autoregressive-generation
  * **Paper**: [https://arxiv.org/abs/2409.04410](https://arxiv.org/abs/2409.04410)
  * **Project**: [https://huggingface.co/TencentARC/Open-MAGVIT2](https://huggingface.co/TencentARC/Open-MAGVIT2)
  * **GitHub**: [https://github.com/TencentARC/Open-MAGVIT2](https://github.com/TencentARC/Open-MAGVIT2)
</details>

<details>
  <summary>
    <strong>Show-o</strong>

     (

    `show-o`

    )
  </summary>

  * **Capability**: multimodal-generation, text-to-image, video-generation
  * **Paper**: [https://arxiv.org/abs/2408.12528](https://arxiv.org/abs/2408.12528)
  * **Project**: [https://showlab.github.io/Show-o/](https://showlab.github.io/Show-o/)
  * **GitHub**: [https://github.com/showlab/Show-o](https://github.com/showlab/Show-o)
</details>

<details>
  <summary>
    <strong>AnimateDiff</strong>

     (

    `animatediff`

    )
  </summary>

  * **Capability**: text-to-video, classic-unet-diffusion
  * **Paper**: [https://arxiv.org/abs/2307.04725](https://arxiv.org/abs/2307.04725)
  * **Project**: [https://animatediff.github.io/](https://animatediff.github.io/)
  * **GitHub**: [https://github.com/guoyww/AnimateDiff](https://github.com/guoyww/AnimateDiff)
</details>

<details>
  <summary>
    <strong>ZeroScope</strong>

     (

    `zeroscope`

    )
  </summary>

  * **Capability**: text-to-video, classic-unet-diffusion
  * **Paper**: [https://huggingface.co/cerspense/zeroscope\_v2\_576w](https://huggingface.co/cerspense/zeroscope_v2_576w)
  * **Project**: [https://huggingface.co/cerspense/zeroscope\_v2\_576w](https://huggingface.co/cerspense/zeroscope_v2_576w)
  * **GitHub**: [https://huggingface.co/cerspense/zeroscope\_v2\_576w](https://huggingface.co/cerspense/zeroscope_v2_576w)
</details>

### World models [#world-models]

Interactive, camera-controlled, navigation, driving, and long-horizon simulation systems, including provenance or metadata-only rows. Capability tags are contract hints: action-controlled models should preserve action traces, camera-controlled models should expose camera metadata, and long-horizon systems need artifact naming that preserves sequence order.

<details>
  <summary>
    <strong>Cosmos Predict 2.5</strong>

     (

    `cosmos-predict-2.5`

    )
  </summary>

  * **Capability**: text-to-video, image-to-video, video-to-video, world-generation
  * **Paper**: [https://arxiv.org/abs/2511.00062](https://arxiv.org/abs/2511.00062)
  * **Project**: [https://research.nvidia.com/labs/cosmos-lab/cosmos-predict2.5/](https://research.nvidia.com/labs/cosmos-lab/cosmos-predict2.5/)
  * **GitHub**: [https://github.com/nvidia-cosmos/cosmos-predict2.5](https://github.com/nvidia-cosmos/cosmos-predict2.5)
</details>

<details>
  <summary>
    <strong>Cosmos Transfer 2.5</strong>

     (

    `cosmos-transfer-2.5`

    )
  </summary>

  * **Capability**: controlled-video, world-generation, spatial-control
  * **Paper**: [https://arxiv.org/abs/2511.00062](https://arxiv.org/abs/2511.00062)
  * **Project**: [https://research.nvidia.com/labs/cosmos-lab/cosmos-transfer2.5/](https://research.nvidia.com/labs/cosmos-lab/cosmos-transfer2.5/)
  * **GitHub**: [https://github.com/nvidia-cosmos/cosmos-transfer2.5](https://github.com/nvidia-cosmos/cosmos-transfer2.5)
</details>

<details>
  <summary>
    <strong>DreamDojo</strong>

     (

    `dreamdojo`

    )
  </summary>

  * **Capability**: interactive-world-model, robot-world-model, action-conditioned-video2world, long-horizon
  * **Paper**: [https://arxiv.org/abs/2602.06949](https://arxiv.org/abs/2602.06949)
  * **Project**: [https://dreamdojo-world.github.io/](https://dreamdojo-world.github.io/)
  * **GitHub**: [https://github.com/NVIDIA/DreamDojo](https://github.com/NVIDIA/DreamDojo)
</details>

<details>
  <summary>
    <strong>Matrix-Game 1.0</strong>

     (

    `matrix-game-1`

    )
  </summary>

  * **Capability**: interactive-world-model, game-video, action-control
  * **Paper**: [https://arxiv.org/abs/2506.18701](https://arxiv.org/abs/2506.18701)
  * **Project**: [https://matrix-game-homepage.github.io/](https://matrix-game-homepage.github.io/)
  * **GitHub**: [https://github.com/SkyworkAI/Matrix-Game](https://github.com/SkyworkAI/Matrix-Game)
</details>

<details>
  <summary>
    <strong>Matrix-Game 2.0</strong>

     (

    `matrix-game-2`

    )
  </summary>

  * **Capability**: interactive-world-model, streaming, game-video, action-control
  * **Paper**: [https://arxiv.org/abs/2508.13009](https://arxiv.org/abs/2508.13009)
  * **Project**: [https://matrix-game-v2.github.io/](https://matrix-game-v2.github.io/)
  * **GitHub**: [https://github.com/SkyworkAI/Matrix-Game](https://github.com/SkyworkAI/Matrix-Game)
</details>

<details>
  <summary>
    <strong>Matrix-Game 3.0</strong>

     (

    `matrix-game-3`

    )
  </summary>

  * **Capability**: interactive-world-model, streaming, long-horizon, game-video
  * **Paper**: [https://arxiv.org/abs/2604.08995](https://arxiv.org/abs/2604.08995)
  * **Project**: [https://matrix-game-v3.github.io/](https://matrix-game-v3.github.io/)
  * **GitHub**: [https://github.com/SkyworkAI/Matrix-Game](https://github.com/SkyworkAI/Matrix-Game)
</details>

<details>
  <summary>
    <strong>LingBot-World</strong>

     (

    `lingbot-world`

    )
  </summary>

  * **Capability**: interactive-world-model, camera-control, world-video
  * **Paper**: [https://arxiv.org/abs/2601.20540](https://arxiv.org/abs/2601.20540)
  * **Project**: [https://technology.robbyant.com/lingbot-world](https://technology.robbyant.com/lingbot-world)
  * **GitHub**: [https://github.com/robbyant/lingbot-world](https://github.com/robbyant/lingbot-world)
</details>

<details>
  <summary>
    <strong>HunyuanWorld 1.0</strong>

     (

    `hunyuanworld-1`

    )
  </summary>

  * **Capability**: text-to-3d-world, image-to-3d-world, panorama, mesh-export
  * **Paper**: [https://arxiv.org/abs/2507.21809](https://arxiv.org/abs/2507.21809)
  * **Project**: [https://3d-models.hunyuan.tencent.com/world/](https://3d-models.hunyuan.tencent.com/world/)
  * **GitHub**: [https://github.com/Tencent-Hunyuan/HunyuanWorld-1.0](https://github.com/Tencent-Hunyuan/HunyuanWorld-1.0)
</details>

<details>
  <summary>
    <strong>HunyuanWorld-Voyager</strong>

     (

    `hunyuanworld-voyager`

    )
  </summary>

  * **Capability**: image-to-video, 3d-reconstruction, world-generation, long-range
  * **Paper**: [https://arxiv.org/abs/2506.04225](https://arxiv.org/abs/2506.04225)
  * **Project**: [https://3d-models.hunyuan.tencent.com/voyager/](https://3d-models.hunyuan.tencent.com/voyager/)
  * **GitHub**: [https://github.com/Tencent-Hunyuan/HunyuanWorld-Voyager](https://github.com/Tencent-Hunyuan/HunyuanWorld-Voyager)
</details>

<details>
  <summary>
    <strong>HY-WorldPlay</strong>

     (

    `hy-worldplay`

    )
  </summary>

  * **Capability**: interactive-world-model, streaming, real-time, camera-action-control
  * **Paper**: [https://arxiv.org/abs/2512.14614](https://arxiv.org/abs/2512.14614)
  * **Project**: [https://3d-models.hunyuan.tencent.com/world/](https://3d-models.hunyuan.tencent.com/world/)
  * **GitHub**: [https://github.com/Tencent-Hunyuan/HY-WorldPlay](https://github.com/Tencent-Hunyuan/HY-WorldPlay)
</details>

<details>
  <summary>
    <strong>HunyuanWorld-Mirror</strong>

     (

    `hunyuanworld-mirror`

    )
  </summary>

  * **Capability**: 3d-reconstruction, world-mirror, image-to-3d, video-to-3d
  * **Paper**: [https://3d-models.hunyuan.tencent.com/world/worldMirror1\_0/HYWorld\_Mirror\_Tech\_Report.pdf](https://3d-models.hunyuan.tencent.com/world/worldMirror1_0/HYWorld_Mirror_Tech_Report.pdf)
  * **Project**: [https://3d-models.hunyuan.tencent.com/world/](https://3d-models.hunyuan.tencent.com/world/)
  * **GitHub**: [https://github.com/Tencent-Hunyuan/HunyuanWorld-Mirror](https://github.com/Tencent-Hunyuan/HunyuanWorld-Mirror)
</details>

<details>
  <summary>
    <strong>HY-World 2.0</strong>

     (

    `hy-world-2.0`

    )
  </summary>

  * **Capability**: text-to-3d-world, image-to-3d-world, video-to-3d-world, simulation
  * **Paper**: [https://arxiv.org/abs/2604.14268](https://arxiv.org/abs/2604.14268)
  * **Project**: [https://3d-models.hunyuan.tencent.com/world/](https://3d-models.hunyuan.tencent.com/world/)
  * **GitHub**: [https://github.com/Tencent-Hunyuan/HY-World-2.0](https://github.com/Tencent-Hunyuan/HY-World-2.0)
</details>

<details>
  <summary>
    <strong>InSpatio-WorldFM</strong>

     (

    `worldfm`

    )
  </summary>

  * **Capability**: 3d-world-model, spatial-intelligence, frame-generation
  * **Paper**: [https://arxiv.org/abs/2603.11911](https://arxiv.org/abs/2603.11911)
  * **Project**: [https://inspatio.github.io/worldfm/](https://inspatio.github.io/worldfm/)
  * **GitHub**: [https://github.com/inspatio/worldfm](https://github.com/inspatio/worldfm)
</details>

<details>
  <summary>
    <strong>Infinite-World</strong>

     (

    `infinite-world`

    )
  </summary>

  * **Capability**: interactive-world-model, long-horizon, image-to-video, memory
  * **Paper**: [https://arxiv.org/abs/2602.02393](https://arxiv.org/abs/2602.02393)
  * **Project**: [https://huggingface.co/MeiGen-AI/Infinite-World](https://huggingface.co/MeiGen-AI/Infinite-World)
  * **GitHub**: [https://github.com/MeiGen-AI/Infinite-World](https://github.com/MeiGen-AI/Infinite-World)
</details>

<details>
  <summary>
    <strong>WorldCam</strong>

     (

    `worldcam`

    )
  </summary>

  * **Capability**: interactive-world-model, camera-pose-control, game-video, long-horizon
  * **Paper**: [https://arxiv.org/abs/2603.16871](https://arxiv.org/abs/2603.16871)
  * **Project**: [https://cvlab-kaist.github.io/WorldCam/](https://cvlab-kaist.github.io/WorldCam/)
  * **GitHub**: [https://github.com/cvlab-kaist/WorldCam](https://github.com/cvlab-kaist/WorldCam)
</details>

<details>
  <summary>
    <strong>CameraCtrl</strong>

     (

    `cameractrl`

    )
  </summary>

  * **Capability**: camera-control, text-to-video, video-diffusion-plugin
  * **Paper**: [https://arxiv.org/abs/2404.02101](https://arxiv.org/abs/2404.02101)
  * **Project**: [https://hehao13.github.io/projects-CameraCtrl/](https://hehao13.github.io/projects-CameraCtrl/)
  * **GitHub**: [https://github.com/hehao13/CameraCtrl](https://github.com/hehao13/CameraCtrl)
</details>

<details>
  <summary>
    <strong>MotionCtrl</strong>

     (

    `motionctrl`

    )
  </summary>

  * **Capability**: camera-control, object-motion-control, text-to-video, image-to-video
  * **Paper**: [https://arxiv.org/abs/2312.03641](https://arxiv.org/abs/2312.03641)
  * **Project**: [https://wzhouxiff.github.io/projects/MotionCtrl/](https://wzhouxiff.github.io/projects/MotionCtrl/)
  * **GitHub**: [https://github.com/TencentARC/MotionCtrl](https://github.com/TencentARC/MotionCtrl)
</details>

<details>
  <summary>
    <strong>ViewCrafter</strong>

     (

    `viewcrafter`

    )
  </summary>

  * **Capability**: novel-view-synthesis, camera-control, sparse-view, 3d-reconstruction
  * **Paper**: [https://arxiv.org/abs/2409.02048](https://arxiv.org/abs/2409.02048)
  * **Project**: [https://drexubery.github.io/ViewCrafter/](https://drexubery.github.io/ViewCrafter/)
  * **GitHub**: [https://github.com/Drexubery/ViewCrafter](https://github.com/Drexubery/ViewCrafter)
</details>

<details>
  <summary>
    <strong>IRASim</strong>

     (

    `irasim`

    )
  </summary>

  * **Capability**: robotics-world-model, video-generation, action-conditioned-generation
  * **Paper**: [https://arxiv.org/abs/2406.14540](https://arxiv.org/abs/2406.14540)
  * **Project**: [https://gen-irasim.github.io/](https://gen-irasim.github.io/)
  * **GitHub**: [https://github.com/bytedance/IRASim](https://github.com/bytedance/IRASim)
</details>

<details>
  <summary>
    <strong>Pandora</strong>

     (

    `pandora`

    )
  </summary>

  * **Capability**: diffusion-world-model, world-generation, text-to-video
  * **Paper**: [https://arxiv.org/abs/2406.09455](https://arxiv.org/abs/2406.09455)
  * **Project**: [https://world-model.maitrix.org/](https://world-model.maitrix.org/)
  * **GitHub**: [https://github.com/maitrix-org/Pandora](https://github.com/maitrix-org/Pandora)
</details>

### 3D and 4D models [#3d-and-4d-models]

3D/4D generation, reconstruction, point-cloud, geometry, and perception-prior models, including provenance or metadata-only rows. Prefer entries with explicit geometry, camera, or asset metadata when you need measurable 3D outputs; some rows still need a port plan before they are runnable in WorldFoundry.

<details>
  <summary>
    <strong>MVDiffusion</strong>

     (

    `mvdiffusion`

    )
  </summary>

  * **Capability**: correspondence-aware multiview image generation and scene texturing, 3d
  * **Paper**: [https://arxiv.org/abs/2307.01097](https://arxiv.org/abs/2307.01097)
  * **Project**: [https://mvdiffusion.github.io/](https://mvdiffusion.github.io/)
  * **GitHub**: [https://github.com/Tangshitao/MVDiffusion](https://github.com/Tangshitao/MVDiffusion)
</details>

<details>
  <summary>
    <strong>4D-GS</strong>

     (

    `4d-gs`

    )
  </summary>

  * **Capability**: real-time dynamic scene rendering, 4d
  * **Paper**: [https://arxiv.org/abs/2310.08528](https://arxiv.org/abs/2310.08528)
  * **Project**: [https://guanjunwu.github.io/4dgs/](https://guanjunwu.github.io/4dgs/)
  * **GitHub**: [https://github.com/hustvl/4DGaussians](https://github.com/hustvl/4DGaussians)
</details>

<details>
  <summary>
    <strong>MonST3R</strong>

     (

    `monst3r`

    )
  </summary>

  * **Capability**: geometry estimation in the presence of motion, 4d
  * **Paper**: [https://monst3r-project.github.io/files/monst3r\_paper.pdf](https://monst3r-project.github.io/files/monst3r_paper.pdf)
  * **Project**: [https://monst3r-project.github.io/](https://monst3r-project.github.io/)
  * **GitHub**: [https://github.com/Junyi42/monst3r](https://github.com/Junyi42/monst3r)
</details>

<details>
  <summary>
    <strong>Shape of Motion</strong>

     (

    `shape-of-motion`

    )
  </summary>

  * **Capability**: single-video 4D reconstruction, 4d
  * **Paper**: [https://arxiv.org/abs/2407.13764](https://arxiv.org/abs/2407.13764)
  * **Project**: [https://shape-of-motion.github.io/](https://shape-of-motion.github.io/)
  * **GitHub**: [https://github.com/vye16/shape-of-motion](https://github.com/vye16/shape-of-motion)
</details>

<details>
  <summary>
    <strong>FlashWorld</strong>

     (

    `flashworld`

    )
  </summary>

  * **Capability**: fast 3D scene generation from image or text, 3d
  * **Paper**: [https://arxiv.org/abs/2510.13678](https://arxiv.org/abs/2510.13678)
  * **Project**: [https://imlixinyang.github.io/FlashWorld-Project-Page/](https://imlixinyang.github.io/FlashWorld-Project-Page/)
  * **GitHub**: [https://github.com/imlixinyang/FlashWorld](https://github.com/imlixinyang/FlashWorld)
</details>

<details>
  <summary>
    <strong>FantasyWorld</strong>

     (

    `fantasyworld`

    )
  </summary>

  * **Capability**: geometry-consistent world modeling, 3d
  * **Paper**: [https://arxiv.org/abs/2509.21657](https://arxiv.org/abs/2509.21657)
  * **Project**: [https://fantasy-amap.github.io/fantasy-world/](https://fantasy-amap.github.io/fantasy-world/)
  * **GitHub**: [https://github.com/Fantasy-AMAP/fantasy-world](https://github.com/Fantasy-AMAP/fantasy-world)
</details>

<details>
  <summary>
    <strong>WonderWorld</strong>

     (

    `wonderworld`

    )
  </summary>

  * **Capability**: interactive 3D scene generation from a single image, 3d
  * **Paper**: [https://arxiv.org/abs/2406.09394](https://arxiv.org/abs/2406.09394)
  * **Project**: [https://kovenyu.com/wonderworld/](https://kovenyu.com/wonderworld/)
  * **GitHub**: [https://github.com/KovenYu/WonderWorld](https://github.com/KovenYu/WonderWorld)
</details>

<details>
  <summary>
    <strong>NeoVerse</strong>

     (

    `neoverse`

    )
  </summary>

  * **Capability**: 4D world modeling from in-the-wild monocular videos, 4d
  * **Paper**: [https://arxiv.org/abs/2601.00393](https://arxiv.org/abs/2601.00393)
  * **Project**: [https://neoverse-4d.github.io/](https://neoverse-4d.github.io/)
  * **GitHub**: [https://github.com/IamCreateAI/NeoVerse](https://github.com/IamCreateAI/NeoVerse)
</details>

<details>
  <summary>
    <strong>ReCamMaster</strong>

     (

    `recammaster`

    )
  </summary>

  * **Capability**: camera-controlled video rerendering, 4d
  * **Paper**: [https://arxiv.org/abs/2503.11647](https://arxiv.org/abs/2503.11647)
  * **Project**: [https://jianhongbai.github.io/ReCamMaster/](https://jianhongbai.github.io/ReCamMaster/)
  * **GitHub**: [https://github.com/KlingAIResearch/ReCamMaster](https://github.com/KlingAIResearch/ReCamMaster)
</details>

<details>
  <summary>
    <strong>Lyra</strong>

     (

    `lyra`

    )
  </summary>

  * **Capability**: open generative 3D and 4D world models, 3d\_4d
  * **Paper**: [https://openreview.net/forum?id=tIVCfVnIHo](https://openreview.net/forum?id=tIVCfVnIHo)
  * **Project**: [https://research.nvidia.com/labs/sil/projects/lyra2/](https://research.nvidia.com/labs/sil/projects/lyra2/)
  * **GitHub**: [https://github.com/nv-tlabs/lyra](https://github.com/nv-tlabs/lyra)
</details>

<details>
  <summary>
    <strong>Stable Virtual Camera</strong>

     (

    `stable-virtual-camera`

    )
  </summary>

  * **Capability**: generative novel view synthesis with camera control, 3d
  * **Paper**: [https://arxiv.org/abs/2503.14489](https://arxiv.org/abs/2503.14489)
  * **Project**: [https://stable-virtual-camera.github.io/](https://stable-virtual-camera.github.io/)
  * **GitHub**: [https://github.com/Stability-AI/stable-virtual-camera](https://github.com/Stability-AI/stable-virtual-camera)
</details>

<details>
  <summary>
    <strong>Splatt3R</strong>

     (

    `splatt3r`

    )
  </summary>

  * **Capability**: 3d-reconstruction, gaussian-splatting
  * **Paper**: [https://arxiv.org/abs/2408.13912](https://arxiv.org/abs/2408.13912)
  * **Project**: [https://splatt3r.active.vision/](https://splatt3r.active.vision/)
  * **GitHub**: [https://github.com/btsmart/splatt3r](https://github.com/btsmart/splatt3r)
</details>

<details>
  <summary>
    <strong>pixelSplat</strong>

     (

    `pixelsplat`

    )
  </summary>

  * **Capability**: 3d-reconstruction, gaussian-splatting, novel-view-synthesis
  * **Paper**: [https://arxiv.org/abs/2312.12337](https://arxiv.org/abs/2312.12337)
  * **Project**: [https://dcharatan.github.io/pixelsplat/](https://dcharatan.github.io/pixelsplat/)
  * **GitHub**: [https://github.com/dcharatan/pixelsplat](https://github.com/dcharatan/pixelsplat)
</details>

### VLA, VA, and WAM models [#vla-va-and-wam-models]

These models are evaluated through behavior, not image quality alone. A usable run needs observations, language or task instructions, action outputs, simulator or dataset context, and a success signal that can be mapped into normalized metrics.

`openvla` is the checkpoint-verified embodied-action baseline in this group. MolmoAct2 also has an in-tree WorldFoundry pipeline/runtime surface for DROID and bimanual YAM action-trace contracts, with checkpoint-backed GPU parity still pending. The former generic LeRobot policy-zoo surface is retired; policies from `lerobot/src/lerobot/policies` are now tracked as concrete algorithms with their own upstream sources, such as ACT, Diffusion Policy, TD-MPC, VQ-BeT, pi0/pi0.5/pi0-FAST, SmolVLA, GR00T, X-VLA, WALL-OSS, EO-1, MolmoAct2, Multi-task DiT, Gaussian Actor, and RTC. Most VLA/VA/WAM rows are currently `runtime_ported`: they have a WorldFoundry route contract, but task support is still bounded by checkpoint, simulator, and real inference evidence.

<details>
  <summary>
    <strong>OpenVLA</strong>

     (

    `openvla`

    )
  </summary>

  * **Capability**: vla, vla.action\_prediction, vla.policy\_rollout
  * **Paper**: [https://arxiv.org/abs/2406.09246](https://arxiv.org/abs/2406.09246)
  * **Project**: [https://openvla.github.io/](https://openvla.github.io/)
  * **GitHub**: [https://github.com/openvla/openvla](https://github.com/openvla/openvla)
</details>

<details>
  <summary>
    <strong>OpenPI</strong>

     (

    `openpi`

    )
  </summary>

  * **Capability**: vla, vla.policy\_rollout, robot\_policy
  * **Paper**: [https://arxiv.org/abs/2410.24164](https://arxiv.org/abs/2410.24164)
  * **Project**: [https://www.physicalintelligence.company/blog/pi0](https://www.physicalintelligence.company/blog/pi0)
  * **GitHub**: [https://github.com/Physical-Intelligence/openpi](https://github.com/Physical-Intelligence/openpi)
</details>

<details>
  <summary>
    <strong>MolmoAct2</strong>

     (

    `molmoact2`

    )
  </summary>

  * **Capability**: vla, vla.action\_prediction, vla.policy\_rollout, robot\_policy
  * **Paper**: [https://arxiv.org/abs/2605.02881](https://arxiv.org/abs/2605.02881)
  * **Project**: [https://allenai.org/blog/molmoact2](https://allenai.org/blog/molmoact2)
  * **GitHub**: [https://github.com/allenai/molmoact2](https://github.com/allenai/molmoact2)
</details>

<details>
  <summary>
    <strong>TD-MPC</strong>

     (

    `tdmpc`

    )
  </summary>

  * **Capability**: model\_predictive\_control, robot\_policy, policy\_rollout
  * **Paper**: [https://www.nicklashansen.com/td-mpc/](https://www.nicklashansen.com/td-mpc/)
  * **Project**: [https://www.nicklashansen.com/td-mpc/](https://www.nicklashansen.com/td-mpc/)
  * **GitHub**: [https://github.com/nicklashansen/tdmpc](https://github.com/nicklashansen/tdmpc)
</details>

<details>
  <summary>
    <strong>VQ-BeT</strong>

     (

    `vqbet`

    )
  </summary>

  * **Capability**: behavior\_generation, imitation\_learning, robot\_policy
  * **Paper**: [https://arxiv.org/abs/2403.03181](https://arxiv.org/abs/2403.03181)
  * **Project**: [https://sjlee.cc/vq-bet/](https://sjlee.cc/vq-bet/)
  * **GitHub**: [https://github.com/jayLEE0301/vq\_bet\_official](https://github.com/jayLEE0301/vq_bet_official)
</details>

<details>
  <summary>
    <strong>SmolVLA</strong>

     (

    `smolvla`

    )
  </summary>

  * **Capability**: vla, vla.policy\_rollout, robot\_policy
  * **Paper**: [https://arxiv.org/abs/2506.01844](https://arxiv.org/abs/2506.01844)
  * **Project**: [https://huggingface.co/lerobot/smolvla\_base](https://huggingface.co/lerobot/smolvla_base)
  * **GitHub**: [https://github.com/huggingface/lerobot](https://github.com/huggingface/lerobot)
</details>

<details>
  <summary>
    <strong>X-VLA</strong>

     (

    `xvla`

    )
  </summary>

  * **Capability**: vla, cross\_embodiment\_vla, vla.policy\_rollout
  * **Paper**: [https://huggingface.co/papers/2510.10274](https://huggingface.co/papers/2510.10274)
  * **Project**: [https://huggingface.co/collections/2toINF/x-vla](https://huggingface.co/collections/2toINF/x-vla)
  * **GitHub**: [https://github.com/2toinf/X-VLA](https://github.com/2toinf/X-VLA)
</details>

<details>
  <summary>
    <strong>EO-1</strong>

     (

    `eo1`

    )
  </summary>

  * **Capability**: vla, embodied\_vla, vla.policy\_rollout
  * **Paper**: [https://arxiv.org/abs/2508.21112](https://arxiv.org/abs/2508.21112)
  * **Project**: [https://eo-robotics.ai/eo-1](https://eo-robotics.ai/eo-1)
  * **GitHub**: [https://github.com/EO-Robotics/EO](https://github.com/EO-Robotics/EO)
</details>

<details>
  <summary>
    <strong>Being-H0.5</strong>

     (

    `being-h05`

    )
  </summary>

  * **Capability**: vla, vla.policy\_rollout, robot\_policy, cross\_embodiment\_policy
  * **Paper**: [https://arxiv.org/abs/2601.12993](https://arxiv.org/abs/2601.12993)
  * **Project**: [https://research.beingbeyond.com/being-h05](https://research.beingbeyond.com/being-h05)
  * **GitHub**: [https://github.com/BeingBeyond/Being-H](https://github.com/BeingBeyond/Being-H)
</details>

<details>
  <summary>
    <strong>NVIDIA DreamZero</strong>

     (

    `dreamzero`

    )
  </summary>

  * **Capability**: wam, world\_action\_model, wam.world\_action\_modeling, robot\_policy, video\_prediction
  * **Paper**: [https://arxiv.org/abs/2602.15922](https://arxiv.org/abs/2602.15922)
  * **Project**: [https://dreamzero0.github.io/](https://dreamzero0.github.io/)
  * **GitHub**: [https://github.com/dreamzero0/dreamzero](https://github.com/dreamzero0/dreamzero)
</details>

<details>
  <summary>
    <strong>NVIDIA GR00T</strong>

     (

    `gr00t`

    )
  </summary>

  * **Capability**: vla, vla.policy\_rollout, humanoid\_policy
  * **Paper**: [https://arxiv.org/abs/2503.14734](https://arxiv.org/abs/2503.14734)
  * **Project**: [https://developer.nvidia.com/isaac/gr00t](https://developer.nvidia.com/isaac/gr00t)
  * **GitHub**: [https://github.com/NVIDIA/Isaac-GR00T](https://github.com/NVIDIA/Isaac-GR00T)
</details>

<details>
  <summary>
    <strong>StarVLA</strong>

     (

    `starvla`

    )
  </summary>

  * **Capability**: vla, wam, vla.policy\_rollout, wam.world\_action\_modeling
  * **Paper**: [https://arxiv.org/abs/2604.05014](https://arxiv.org/abs/2604.05014)
  * **Project**: [https://starvla.github.io/](https://starvla.github.io/)
  * **GitHub**: [https://github.com/starVLA/starVLA](https://github.com/starVLA/starVLA)
</details>

<details>
  <summary>
    <strong>LingBot-VA</strong>

     (

    `lingbot-va`

    )
  </summary>

  * **Capability**: vla, va, vam, wam, vla.policy\_rollout, vam.video\_action\_modeling, wam.world\_action\_modeling, robot\_policy
  * **Paper**: [https://arxiv.org/abs/2601.21998](https://arxiv.org/abs/2601.21998)
  * **Project**: [https://technology.robbyant.com/lingbot-va](https://technology.robbyant.com/lingbot-va)
  * **GitHub**: [https://github.com/Robbyant/lingbot-va](https://github.com/Robbyant/lingbot-va)
</details>

<details>
  <summary>
    <strong>Latent Action Pretraining</strong>

     (

    `lapa`

    )
  </summary>

  * **Capability**: va, vam, latent\_action, video\_action\_modeling
  * **Paper**: [https://arxiv.org/abs/2410.11758](https://arxiv.org/abs/2410.11758)
  * **Project**: [https://latentactionpretraining.github.io/](https://latentactionpretraining.github.io/)
  * **GitHub**: [https://github.com/LatentActionPretraining/LAPA](https://github.com/LatentActionPretraining/LAPA)
</details>

<details>
  <summary>
    <strong>Octo</strong>

     (

    `octo`

    )
  </summary>

  * **Capability**: vla, vla.policy\_rollout, robot\_policy, generalist\_policy
  * **Paper**: [https://octo-models.github.io/paper.pdf](https://octo-models.github.io/paper.pdf)
  * **Project**: [https://octo-models.github.io/](https://octo-models.github.io/)
  * **GitHub**: [https://github.com/octo-models/octo](https://github.com/octo-models/octo)
</details>

<details>
  <summary>
    <strong>RT-1</strong>

     (

    `rt-1`

    )
  </summary>

  * **Capability**: vla, vla.policy\_rollout, robot\_policy, robotics\_transformer
  * **Paper**: [https://arxiv.org/abs/2212.06817](https://arxiv.org/abs/2212.06817)
  * **Project**: [https://robotics-transformer1.github.io/](https://robotics-transformer1.github.io/)
  * **GitHub**: [https://github.com/google-research/robotics\_transformer](https://github.com/google-research/robotics_transformer)
</details>

<details>
  <summary>
    <strong>Diffusion Policy</strong>

     (

    `diffusion-policy`

    )
  </summary>

  * **Capability**: visuomotor\_policy, robot\_policy, action\_diffusion, policy\_rollout
  * **Paper**: [https://diffusion-policy.cs.columbia.edu/#paper](https://diffusion-policy.cs.columbia.edu/#paper)
  * **Project**: [https://diffusion-policy.cs.columbia.edu/](https://diffusion-policy.cs.columbia.edu/)
  * **GitHub**: [https://github.com/real-stanford/diffusion\_policy](https://github.com/real-stanford/diffusion_policy)
</details>

<details>
  <summary>
    <strong>Action Chunking Transformer</strong>

     (

    `act`

    )
  </summary>

  * **Capability**: action\_chunking\_policy, robot\_policy, imitation\_policy, policy\_rollout
  * **Paper**: [https://arxiv.org/abs/2304.13705](https://arxiv.org/abs/2304.13705)
  * **Project**: [https://tonyzhaozh.github.io/aloha/](https://tonyzhaozh.github.io/aloha/)
  * **GitHub**: [https://github.com/tonyzhaozh/act](https://github.com/tonyzhaozh/act)
</details>

<details>
  <summary>
    <strong>RoboFlamingo</strong>

     (

    `roboflamingo`

    )
  </summary>

  * **Capability**: vla, vla.policy\_rollout, vlm\_policy, robot\_policy
  * **Paper**: [https://arxiv.org/abs/2311.01378](https://arxiv.org/abs/2311.01378)
  * **Project**: [https://github.com/RoboFlamingo/RoboFlamingo](https://github.com/RoboFlamingo/RoboFlamingo)
  * **GitHub**: [https://github.com/RoboFlamingo/RoboFlamingo](https://github.com/RoboFlamingo/RoboFlamingo)
</details>