InstantFusion connects heterogeneous image generators through a learned shared latent interface. Model-specific Latent AutoEncoders (LAEs) align intermediate states while preserving the information needed for reconstruction and continued denoising. The base generators remain frozen during LAE training. The shared interface supports generation acceleration, multi-preference composition, and cross-model on-policy distillation (OPD). This repository provides trained LAE interface weights. The base generators must be obtained separately. LAE reconstruction examples for Qwen-Image, FLUX.1, and SD3. Mean SSIM is reported over 100 images for each model. Intermediate states can be transferred…
Independent publisher
Xuanlang Dai
XuanlangDai
Models in Library1
Datasets in Library0
Models on Hugging Face1
Followers6
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Published tasks: Text to image.
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