VincentNi/wan22-rollout-put-object-cabinet-step0
Wan2.2 TI2V Step-0 Rollout — RoboTwin put_object_cabinet 160 video rollouts (10 scenes × 16 samples) generated by Wan2.2-TI2V-5B + merged Vidar LoRA on the RoboTwin put_object_cabinet task. These are the pre-NFT-training (step-0) baseline samples used to evaluate reward-model behaviour and seed RL fine-tuning. Generation config Base model : Wan2.2-TI2V-5B LoRA : vidar/merged_vidar_lora.pt (vidar baseline merged into DiT) Sampler : deterministic ODE… See the full description on the dataset page: https://huggingface.co/datasets/VincentNi/wan22-rollout-put-object-cabinet-step0.
| Author / organization | VincentNi |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 134 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 May 2026 |
| Last updated at source | 1 May 2026 |
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- 16 Oct 2026 Description: Wan2.2 TI2V Step-0 Rollout — RoboTwin put_object_cabinet 160 video rollouts (10 scenes × 16 samples) generated by Wan2.2-TI2V-5B + merged Vidar LoRA on the RoboTwin put_object_cabinet task. These are the pre-NFT-training (step-0) baseline s → Wan2.2 TI2V Step-0 Rollout — RoboTwin put_object_cabinet 160 video rollouts (10 scenes × 16 samples) generated by Wan2.2-TI2V-5B + merged Vidar LoRA on the RoboTwin put_object_cabinet task. These are the pre-NFT-training (step-0) baseline s
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