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diffusers/examples/research_projects/onnxruntime
Yingtian Liu c101066227 Correct SNR weighted loss in v-prediction case by only adding 1 to SNR on the denominator (#6307)
* fix minsnr implementation for v-prediction case

* format code

* always compute snr when snr_gamma is specified

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2024-01-27 09:18:09 +05:30
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2023-12-11 10:55:28 -08:00

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.