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Description
Model/Pipeline/Scheduler description
InstaFlow is an ultra-fast, one-step image generator that achieves image quality close to Stable Diffusion, significantly reducing the demand of computational resources. This efficiency is made possible through a recent Rectified Flow technique, which trains probability flows with straight trajectories, hence inherently requiring only a single step for fast inference.
InstaFlow has several advantages:
Ultra-Fast Inference: InstaFlow models are one-step generators, which directly map noises to images and avoid multi-step sampling of diffusion models. On our machine with A100 GPU, the inference time is around 0.1 second, saving ~90% of the inference time compared to the original Stable Diffusion.
High-Quality: InstaFlow generates images with intricate details like Stable Diffusion, and have similar FID on MS COCO 2014 as state-of-the-art text-to-image GANs, like StyleGAN-T.
Simple and Efficient Training: The training process of InstaFlow merely involves supervised training. Leveraging pre-trained Stable Diffusion, it only takes 199 A100 GPU days to get InstaFlow-0.9B.
Open source status
- The model implementation is available.
- The model weights are available (Only relevant if addition is not a scheduler).
Provide useful links for the implementation
Code & Weights - https://github.com/gnobitab/InstaFlow
HF Space - https://huggingface.co/spaces/XCLiu/InstaFlow
Might be interesting to add it as a community pipeline atleast
