Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for Robot Video Generation
NVIDIA Cosmos Predict 2.5 is a large-scale model designed for generating videos based on various inputs. The article discusses the fine-tuning process using LoRA and DoRA techniques to adapt the model for specific tasks like robot manipulation. This approach allows for efficient training on limited hardware while maintaining the model's general knowledge.
- ▪NVIDIA Cosmos Predict 2.5 generates videos conditioned on text, images, or video clips.
- ▪Fine-tuning with LoRA and DoRA enables targeted adaptations without extensive resource requirements.
- ▪The model can generate synthetic robot trajectories to aid in robot learning tasks.
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| Original publisher | Hugging Face Blog |
| Canonical URL | https://huggingface.co/blog/nvidia/cosmos-fine-tuning-for-robot-video-generation |
| Publication time | Mon, 18 May 2026 16:00:21 GMT |
| Retrieval time | 2026-05-18T16:04:56.662Z |
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Back to Articles Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for Robot Video Generation Enterprise + Article Published May 18, 2026 Upvote - Ting-Yun Chang ting-yunc Follow nvidia Miguel Martin miguelmartin-nv Follow nvidia Jonathan Allen nv-spectralflight Follow nvidia Ke Ding kding1 Follow nvidia Pooya Jannaty pjannaty Follow nvidia Motivation Requirements Preparing Data Training VideoDataset Initialize Adapter Loss Optimizer and Scheduler Checkpointing Training Command Running Inference with Your LoRA ImageDataset Loading the Pipeline and LoRA/DoRA Weights Generating initial latent noise Inference Command Evaluation Metrics Sampson Error LLM-as-a-Judge Results Qualitative Analysis Quantitative Analysis Motivation NVIDIA Cosmos Predict 2.5 is a large-scale world model capable…
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