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Ruoxi ece55227ff Multiply lr scheduler steps by num_processes. (#3983 )

* Multiply lr scheduler steps by `num_processes`.

* Stop multiplying steps by gradient accumulation.

2023-07-13 17:50:25 +05:30

text_to_image

Multiply lr scheduler steps by num_processes. (#3983 )

2023-07-13 17:50:25 +05:30

textual_inversion

Multiply lr scheduler steps by num_processes. (#3983 )

2023-07-13 17:50:25 +05:30

unconditional_image_generation

avoid upcasting by assigning dtype to noise tensor (#3713 )

2023-07-04 07:19:49 +05:30

README.md

refactor onnxruntime integration (#2042 )

2023-02-03 12:04:59 +01:00

README.md

Diffusers examples with ONNXRuntime optimizations

This research project is not actively maintained by the diffusers team. For any questions or comments, please contact Prathik Rao (prathikr), Sunghoon Choi (hanbitmyths), Ashwini Khade (askhade), or Peng Wang (pengwa) on github with any questions.

This aims to provide diffusers examples with ONNXRuntime optimizations for training/fine-tuning unconditional image generation, text to image, and textual inversion. Please see individual directories for more details on how to run each task using ONNXRuntime.