CrossTimeEdit
LoRA weights for CrossTimeEdit: A Decade-Spanning Cross-View Dataset and Reward-Guided Editing for Historical Street-View Generation.
This is the final epoch-200 checkpoint, selected on the validation set after supervised fine-tuning and multi-reward online reinforcement learning. The adapter is based on FLUX.2 [Klein] 4B and is loaded using DiffSynth-Studio; it is not a standalone base model.
Download
hf download LuHanwen/CrossTimeEdit-LoRA crosstimeedit.safetensors --local-dir weights
Use weights/crosstimeedit.safetensors with inference/generate.py in the code repository. Download the base model separately and observe its applicable license and terms.
The generated historical appearance is an estimate, not a verified historical record. Satellite evidence may not reveal historical facade details or street-level occlusions.
SHA-256 (crosstimeedit.safetensors): 0f6d50733becc89d23e93ded9d957dc12e514347f0f8b69e4ad394ad79a18aa6.