VincentNi/wan22-rollout-blocks-ranking-rgb-step0
Wan2.2 TI2V Step-0 Rollout — RoboTwin blocks_ranking_rgb 160 video rollouts (10 scenes × 16 samples) generated by Wan2.2-TI2V-5B + merged Vidar LoRA on the RoboTwin blocks_ranking_rgb task (arrange R/G/B blocks left-to-right). 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)… See the full description on the dataset page: https://huggingface.co/datasets/VincentNi/wan22-rollout-blocks-ranking-rgb-step0.
| Author / organization | VincentNi |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 163 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 May 2026 |
| Last updated at source | 1 May 2026 |
Popularity, last 3 days
163 now. Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Wan2.2 TI2V Step-0 Rollout — RoboTwin blocks_ranking_rgb 160 video rollouts (10 scenes × 16 samples) generated by Wan2.2-TI2V-5B + merged Vidar LoRA on the RoboTwin blocks_ranking_rgb task (arrange R/G/B blocks left-to-right). These are the → Wan2.2 TI2V Step-0 Rollout — RoboTwin blocks_ranking_rgb 160 video rollouts (10 scenes × 16 samples) generated by Wan2.2-TI2V-5B + merged Vidar LoRA on the RoboTwin blocks_ranking_rgb task (arrange R/G/B blocks left-to-right). These are the
Changes detected by Silytics between refreshes of the source.
More from VincentNi
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.