| --- |
| license: other |
| license_name: base-model-terms |
| pipeline_tag: image-to-video |
| tags: |
| - world-model |
| - video-generation |
| - camera-control |
| - reinforcement-learning |
| - lora |
| base_model: |
| - nvidia/Lyra-2.0 |
| - robbyant/lingbot-world-v2-14b-causal-fast |
| - Drexubery/UniView |
| datasets: |
| - ziqima/TrajectoryBench |
| --- |
| |
| # LoGo checkpoints |
|
|
| The LoRA adapter each model was post-trained to with the LoGo reward. |
|
|
| | file | model | base weights | |
| |---|---|---| |
| | `logo-lyra2-lora.pt` | Lyra-2 (use DMD scheduler) | `nvidia/Lyra-2.0` | |
| | `logo-lingbot-world-v2-lora.pt` | LingBot-World 2.0 | `robbyant/lingbot-world-v2-14b-causal-fast` | |
| | `logo-uniworld-view-lora.safetensors` | UniWorld-View | `Drexubery/UniView` + `Wan-AI/Wan2.1-VACE-14B-diffusers` + CausVid LoRA | |
|
|
| Usage, with the code at https://github.com/ziqi-ma/logo. |
|
|
| # Lyra-2 |
| torchrun --standalone --nproc_per_node=8 -m lyra_2._src.rl.inference.evaluate \ |
| --adapter logo-lyra2-lora.pt --scenes-root <scene dir> --scenes "<ids>" |
| |
| # LingBot-World 2.0 |
| python -m wan.rl.inference.gen_scenes --input_base <scene root> --videos_base <out> \ |
| --lora_path logo-lingbot-world-v2-lora.pt |
| |
| # UniWorld-View |
| python -m rl.inference.eval_gen --ws_prefix <out> \ |
| --rl-ckpt logo-uniworld-view-lora.safetensors --pose-scale 1.5 |
| |
| Evaluation on TrajectoryBench, including the per-group generation settings, is described in |
| `eval/README.md` in that repository. |
|
|
