diffusers

mirror of https://github.com/huggingface/diffusers.git synced 2026-01-29 07:22:12 +03:00

Files

Patrick von Platen 473d4d3961 Fix config prints and save, load of pipelines (#2849 )

* [Config] Fix config prints and save, load

* Only use potential nn.Modules for dtype and device

* Correct vae image processor

* make sure in_channels is not accessed directly

* make sure in channels is only accessed via config

* Make sure schedulers only access config attributes

* Make sure to access config in SAG

* Fix vae processor and make style

* add tests

* uP

* make style

* Fix more naming issues

* Final fix with vae config

* change more

2023-05-05 07:22:12 -07:00

text_to_image

Fix config prints and save, load of pipelines (#2849 )

2023-05-05 07:22:12 -07:00

textual_inversion

Use upload_folder in training scripts (#2934 )

2023-05-05 07:22:11 -07:00

unconditional_image_generation

checkpointing_steps_total_limit->checkpoints_total_limit (#2374 )

2023-02-16 00:28:58 -08:00

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.