vam-cross-level2-so101-widowx-texture-video-lora-iter-400

VAM-Cross two-camera MimicVideo Video2World LoRA

This public repository contains the trainable-only Video2World LoRA checkpoint from iteration 400 of v2w_so101_level2_widowx_texture_2cam_hstack_from_widowx250_video_fused_f0cea76_lora_r256. The source run has termination status walltime; 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-level2-so101-widowx-texture@a59b0407fe9ddc4fcd00430d70ce846ab40b33a6
• Episodes/frames: 298 / 54354
• Cameras: observation.images.corner_cam, observation.images.front_cam
• View layout: hstack at 5 Hz
• Tasks: 24 episode-conditioned instructions (listed in vam_cross_video_lora_manifest.json)

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.