vam-cross-level5-panda-widowx-widowx-texture-video-lora-iter400

VAM-Cross two-camera MimicVideo Video2World LoRA

This public repository contains the trainable-only Video2World LoRA checkpoint from iteration 400 of v2w_panda_widowx_level5_widowx_texture_2cam_hstack_from_widowx250_video_fused_f0cea76_lora_r256. The source run has termination status completed; the selected four-component checkpoint set was verified before selecting the model weight.

Required initial backbone

• Kind: fused_video2world_dit
• Repository: dreamdifferent/widowx250-video-fused
• Revision: f0cea76b62c5dd66b06b9f965932ddea32a7b546
• Path: checkpoints/video_backbone/iter_000001060_fused.pt
• Bytes: 3913057284
• SHA-256: d0f24c049bee63b03d3b62747b240a2d1822ddd5f83a52fcd866a882e80122b1
• Source iteration: 1060

This is an adapter checkpoint, not a standalone fused model. Load the exact initial Video2World backbone above first and then apply this LoRA checkpoint. For fused_video2world_dit, the initial checkpoint already includes the earlier WidowX/Bridge LoRA fusion; loading the original Bridge backbone instead would be incorrect.

Supporting runtime artifacts

• MimicVideo commit: e3355dbc93132b576c02f920a59b4fc18a4f5906
• Checkpoint bundle: jonpai/mimic-video@f28339034831e3c2374be075e622e1ff38ebe0f8
• Video tokenizer: video_backbone/tokenizer/tokenizer.pth
• T5 text encoder directory: text_encoder/t5-11b

Use the same MimicVideo code and config recorded in config.yaml, vam_cross_video2world_config.json, and vam_cross_video_lora_manifest.json.

Training data contract

• Dataset revision: dreamdifferent/vam-cross-level5-panda-widowx-widowx-texture@160fcfd25198e9b91d89f9bc7fccc2a3f015ce30
• Episodes/frames: 156 / 54421
• Cameras: observation.images.corner_cam, observation.images.front_cam
• View layout: hstack at 5 Hz
• Instruction: pick up the candle and place it into the bowl

The dataset itself is not included. Users must comply with the dataset's current access policy and the upstream MimicVideo, NVIDIA Cosmos, and base-checkpoint terms.