Ruoxi
ece55227ff
Multiply lr scheduler steps by num_processes. ( #3983 )
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* Multiply lr scheduler steps by `num_processes`.
* Stop multiplying steps by gradient accumulation.
2023-07-13 17:50:25 +05:30
Patrick von Platen
b9feed8795
move to 0.19.0dev ( #4048 )
2023-07-11 22:49:12 +02:00
Will Berman
d49e2dd54c
manual check for checkpoints_total_limit instead of using accelerate ( #3681 )
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* manual check for checkpoints_total_limit instead of using accelerate
* remove controlnet_conditioning_embedding_out_channels
2023-06-15 15:38:54 -07:00
Patrick von Platen
c42f6ee43e
Post 0.17.0 release ( #3721 )
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* Post release
* Post release
2023-06-08 18:08:49 +02:00
Zachary Mueller
79fa94ea8b
Apply deprecations from Accelerate ( #3714 )
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Apply deprecations
2023-06-08 16:44:22 +02:00
Sayak Paul
55dbfa0229
[Docs] include the instruction-tuning blog link in the InstructPix2Pix docs ( #3644 )
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include the instruction-tuning blog link.
2023-06-02 08:04:35 +05:30
Patrick von Platen
f842396367
Post release for 0.16.0 ( #3244 )
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* Post release
* fix more
2023-04-26 17:43:09 +01:00
Patrick von Platen
6ba0efb9a1
Release: v0.16.0
2023-04-26 13:35:01 +02:00
Sayak Paul
3b641eabe9
feat: verfication of multi-gpu support for select examples. ( #3126 )
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* feat: verfication of multi-gpu support for select examples.
* add: multi-gpu training sections to the relvant doc pages.
2023-04-18 08:36:13 +05:30
Patrick von Platen
0a73b4d3cd
[Post release] v0.16.0dev ( #3072 )
2023-04-12 17:18:30 +01:00
Patrick von Platen
e7534542a2
Release: v0.15.0
2023-04-12 15:15:31 +00:00
Sayak Paul
5a7d35e29c
Fix InstructPix2Pix training in multi-GPU mode ( #2978 )
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* fix: norm group test for UNet3D.
* fix: unet rejig.
* fix: unwrapping when running validation inputs.
* unwrapping the unet too.
* fix: device.
* better unwrapping.
* unwrapping before ema.
* unwrapping.
2023-04-12 10:13:53 +01:00
Will Berman
67ec9cf513
accelerate min version for ProjectConfiguration import ( #3042 )
2023-04-11 10:12:28 -07:00
Patrick von Platen
8b451eb63b
Fix config prints and save, load of pipelines ( #2849 )
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* [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
2023-04-11 13:35:42 +02:00
Lucain
a87e88b783
Use upload_folder in training scripts ( #2934 )
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use upload folder in training scripts
Co-authored-by: testbot <lucainp@hf.co >
2023-04-04 16:19:12 +01:00
Pedro Cuenca
1d7b4b60b7
Ruff: apply same rules as in transformers ( #2827 )
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* Apply same ruff settings as in transformers
See https://github.com/huggingface/transformers/blob/main/pyproject.toml
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com >
* Apply new style rules
* Style
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com >
* style
* remove list, ruff wouldn't auto fix.
---------
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com >
2023-03-27 16:18:57 +02:00
Sayak Paul
9dc84448ac
[Examples] InstructPix2Pix instruct training script ( #2478 )
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* add: initial implementation of the pix2pix instruct training script.
* shorten cli arg.
* fix: main process check.
* fix: dataset column names.
* simplify tokenization.
* proper placement of null conditions.
* apply styling.
* remove debugging message for conditioning do.
* complete license.
* add: requirements.tzt
* wandb column name order.
* fix: augmentation.
* change: dataset_id.
* fix: convert_to_np() call.
* fix: reshaping.
* fix: final ema copy.
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com >
* address PR comments.
* add: readme details.
* config fix.
* downgrade version.
* reduce image width in the readme.
* note on hyperparameters during generation.
* add: output images.
* update readme.
* minor edits to readme.
* debugging statement.
* explicitly placement of the pipeline.
* bump minimum diffusers version.
* fix: device attribute error.
* weight dtype.
* debugging.
* add dtype inform.
* add seoarate te and vae.
* add: explicit casting/
* remove casting.
* up.
* up 2.
* up 3.
* autocast.
* disable mixed-precision in the final inference.
* debugging information.
* autocasting.
* add: instructpix2pix training section to the docs.
* Empty-Commit
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com >
2023-03-23 10:15:01 +05:30
