comind-actoractor-personpose-refpose-base2b (iter 5200)
Checkpoint from the comind_actoractor_personpose_shared_refpose experiment (base2b arm), continued as a
guest run on a teammate's behalf (original experiment authored by a colleague; this run picks it up from
their iter_000002800 checkpoint and continues training under a different account due to GPU availability).
What this experiment is
Joint (V=2) CoMind actor-actor generation: leader and helper ego streams are denoised together in one forward
pass -- full cross-view self-attention (each stream attends to the other's tokens and reference frames) and a
shared canonical camera frame (Plücker rays expressed in "target view0, frame 0"). Conditioning per stream:
vae_concat identity-colored pose, own warped/visibility, an R=4 slice of a greedy SHARED reference set (with
matching reference_pose skeletons), plus the cross-view Plücker ray map.
This is the base2b arm: warm-started directly from base Cosmos 2B (nvidia/Cosmos-Predict2.5-2B), as
opposed to the nymwarm/singlestream arms which warm-start from a Nymeria-pretrained checkpoint instead.
It is the joint-generation counterpart to
kimhosoo/comind-actoractor-personpose-refpose-singlestream
(same conditioning, but the two ego streams generated independently, V=1) -- meant for a joint-vs-independent
comparison.
Training
- Warm start: base Cosmos 2B multiview (
nvidia/Cosmos-Predict2.5-2B), per thebase2barm definition. - Continued from
iter_000002800(the colleague's own prior progress) through iter 5,200 in this run. - 2x NVIDIA H200,
fsdp_shard_size=2, checkpoints saved every 400 iterations. - Run stopped automatically (SIGTERM via
timeout) ~20 minutes before the borrowed GPU allocation expired, to guarantee a clean final checkpoint.
Files
model_ema_bf16.pt-- EMA weights in bfloat16 (recommended for inference), converted from the training-time DCP/FSDP checkpoint viascripts/convert_distcp_to_pt.pyin the cosmos-predict2.5 repo.
Note
This checkpoint continues a colleague's in-progress experiment as a guest run on borrowed GPU time; the
training code lives in their own copy of the cosmos-predict2.5 tree
(predict2_multiview/configs/vid2vid/experiment/nymeria_pose_2actor.py,
comind_actoractor_personpose_shared_refpose), which was not modified for this run.
Model tree for kimhosoo/comind-actoractor-personpose-refpose-base2b
Base model
nvidia/Cosmos-Predict2.5-2B