World models · world · camera_control · world_model

LingBot-World

LingBot

LingBot-World wrapper now only resolves local HFD or explicit checkpoint directories and no longer downloads at runtime.

Runner verified独立环境lingbot-world

构建运行命令

选择仓库中已记录的 variant，然后复制对应的准备、检查或运行命令。

worldfoundry.pipeline

Variant

任务world

环境lingbot-world

设备CUDA 12.1

worldfoundry-eval evaluate \
  --mode model \
  --model-id lingbot-world \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/lingbot-world \
  --metric artifact_count \
  --json

兼容性与版本

由 Manifest 生成

集成状态: verified
Runner 证据: verified
环境: lingbot-world
Python: 3.10
CUDA: CUDA 12.1
PyTorch: torch==2.5.1
源码 revision: —
Checkpoint revision: 6fc824ffc338d64c97c77e2eb8c0f4cfc24d82bd

Runtime profile: lingbot-world
Pipeline binding: lingbot-world
Runner: worldfoundry.pipeline
Pipeline target: worldfoundry.pipelines.lingbot_world.pipeline_lingbot_world:LingBotPipeline
Backend stage: in_tree_runtime
Runtime 状态: base_cam_contract
Driver 状态: compatible
环境类型: 独立环境

安装环境

环境解析器会读取已记录 profile，并选择此处显示的统一或独立环境。

bash scripts/setup/model_env_install.sh --model lingbot-world

依赖版本约束 18

torch==2.5.1
torchvision==0.20.1
flash-attn==2.8.3
diffusers>=0.31.0
transformers>=4.49.0,<=4.51.3
tokenizers>=0.20.3
accelerate>=1.1.1
opencv-python>=4.9.0.80
imageio[ffmpeg]
imageio-ffmpeg
einops
easydict
ftfy
numpy>=1.23.5,<2
scipy
tqdm
pillow
pyyaml

Conda 依赖 3

python=3.10
pip
ffmpeg

Checkpoint 与资产

分配算力前先做本地检查；gated、private 与 license 字段直接来自 checkpoint manifest。

worldfoundry-eval zoo model-download --model-id lingbot-world --check-local --json

robbyant/lingbot-world-base-cam

Revision: 6fc824ffc338d64c97c77e2eb8c0f4cfc24d82bd
License: —
Gated: —
Private: —

运行与输出

生成的命令通过共享 evaluation 边界运行，并持久保存结果 manifest 与 artifact。

worldfoundry-eval evaluate \
  --mode model \
  --model-id lingbot-world \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/lingbot-world \
  --metric artifact_count \
  --json

输入契约

字段	已记录契约
`prompt`	Required
`image`	Required
`video`	Optional
`actions`	camera_path, navigation_action

Artifact 契约

Artifact 类型	文件名 / 路径
`generated_world`	`lingbot-world.mp4`

证据与来源

Catalog 集成、原生 demo parity 与 runner parity 是三条独立记录。

集成状态: verified
Runner 证据: verified
原生 Demo 证据: 未记录
验证 Imports: torch, flash_attn, cv2, imageio

配方溯源

worldfoundry/data/models/catalog/world_models/lingbot-world.yamlGitHubhttps://github.com/robbyant/lingbot-worldHugging Facehttps://huggingface.co/robbyant/lingbot-world-base-cam

构建运行命令

输入契约

Artifact 契约

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