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Found 5 papers, 2 papers with code
Fast Inference from Transformers via Speculative Decoding
Inference from large autoregressive models like Transformers is slow - decoding K tokens takes K serial runs of the model.
UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image
Text-driven image editing methods usually need edit masks, struggle with edits that require significant visual changes and cannot easily keep specific details of the edited portion.
Dreamix: Video Diffusion Models are General Video Editors
Our approach uses a video diffusion model to combine, at inference time, the low-resolution spatio-temporal information from the original video with new, high resolution information that it synthesized to align with the guiding text prompt.
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face
We present Face0, a novel way to instantaneously condition a text-to-image generation model on a face, in sample time, without any optimization procedures such as fine-tuning or inversions.
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
A notable example is the LAION dataset, used by Stable Diffusion and other models.
