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DWM-CogVideoX-Fun-5b-LoRA – AI Model by byungjun-kim | AlphaNeural AI

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byungjun-kim/
DWM-CogVideoX-Fun-5b-LoRA

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video-generation

dexterous-world-models

alibaba-pai/CogVideoX-Fun-V1.1-5b-InP

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DWM CogVideoX Static-Hand-Concat LoRA

This repository contains a checkpoint-8000 release of the DWM CogVideoX static-scene + hand-video concat model.

It was trained on top of:

alibaba-pai/CogVideoX-Fun-V1.1-5b-InP

This checkpoint is a derivative of CogVideoX-Fun-V1.1-5b-InP, and its use must comply with the upstream CogVideoX license.

The checkpoint includes:

pytorch_lora_weights.safetensors: LoRA weights
non_lora_weights.safetensors: non-LoRA projection weights for patch_embed.proj
dwm_cogvideox_5b_lora.yaml: training config used for this checkpoint

Usage

This checkpoint is intended to be used with the dwm repository inference script:

bash

python training/cogvideox/inference.py \
  --checkpoint_path /path/to/this_repo \
  --experiment_config /path/to/this_repo/dwm_cogvideox_5b_lora.yaml \
  --data_root /path/to/data \
  --video physics/videos/00001.mp4 \
  --output_dir outputs_infer/dwm_cogvideox_hf

The expected sibling inputs are:

videos/<stem>.mp4
videos_static/<stem>.mp4
videos_hands/<stem>.mp4
prompts_rewrite/<stem>.txt

Notes

non_lora_weights.safetensors was converted from the original non_lora_weights.pt checkpoint artifact and stores:
- patch_embed.proj.weight
- patch_embed.proj.bias
Use of this checkpoint should follow both the DWM repository terms and the upstream license terms of CogVideoX-Fun-V1.1-5b-InP.