Generate a goal image from a head-camera observation and a robot subtask. This repository contains the robotics LoRA for Step1X-Edit-v1p2.
hf download sii-research/tau-0-vla-world-model robotics-lora.safetensors \
--local-dir weights/world_model
Download the Step1X-Edit-v1p2 base model separately. Follow the World model guide for base-weight conversion, single-image and batch inference, and continuing LoRA fine-tuning. The adapter uses the original-format robotics implementation provided by that package.
The adapter has rank 64 and alpha 32. Default inference uses 28 denoising steps,
CFG 6, size level 512, and seed 42. File checksums are in weights_manifest.json.
Use the Proposal model to predict subtasks from three camera views and task memory.
Generate a goal image from a head-camera observation and a robot subtask. This repository contains the robotics LoRA for Step1X-Edit-v1p2.
hf download sii-research/tau-0-vla-world-model robotics-lora.safetensors \
--local-dir weights/world_model
Download the Step1X-Edit-v1p2 base model separately. Follow the World model guide for base-weight conversion, single-image and batch inference, and continuing LoRA fine-tuning. The adapter uses the original-format robotics implementation provided by that package.
The adapter has rank 64 and alpha 32. Default inference uses 28 denoising steps,
CFG 6, size level 512, and seed 42. File checksums are in weights_manifest.json.
Use the Proposal model to predict subtasks from three camera views and task memory.