1. 22 Jan, 2025 1 commit
    • Aryan's avatar
      [core] Layerwise Upcasting (#10347) · beacaa55
      Aryan authored
      
      
      * update
      
      * update
      
      * make style
      
      * remove dynamo disable
      
      * add coauthor
      Co-Authored-By: default avatarDhruv Nair <dhruv.nair@gmail.com>
      
      * update
      
      * update
      
      * update
      
      * update mixin
      
      * add some basic tests
      
      * update
      
      * update
      
      * non_blocking
      
      * improvements
      
      * update
      
      * norm.* -> norm
      
      * apply suggestions from review
      
      * add example
      
      * update hook implementation to the latest changes from pyramid attention broadcast
      
      * deinitialize should raise an error
      
      * update doc page
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * update docs
      
      * update
      
      * refactor
      
      * fix _always_upcast_modules for asym ae and vq_model
      
      * fix lumina embedding forward to not depend on weight dtype
      
      * refactor tests
      
      * add simple lora inference tests
      
      * _always_upcast_modules -> _precision_sensitive_module_patterns
      
      * remove todo comments about review; revert changes to self.dtype in unets because .dtype on ModelMixin should be able to handle fp8 weight case
      
      * check layer dtypes in lora test
      
      * fix UNet1DModelTests::test_layerwise_upcasting_inference
      
      * _precision_sensitive_module_patterns -> _skip_layerwise_casting_patterns based on feedback
      
      * skip test in NCSNppModelTests
      
      * skip tests for AutoencoderTinyTests
      
      * skip tests for AutoencoderOobleckTests
      
      * skip tests for UNet1DModelTests - unsupported pytorch operations
      
      * layerwise_upcasting -> layerwise_casting
      
      * skip tests for UNetRLModelTests; needs next pytorch release for currently unimplemented operation support
      
      * add layerwise fp8 pipeline test
      
      * use xfail
      
      * Apply suggestions from code review
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      
      * add assertion with fp32 comparison; add tolerance to fp8-fp32 vs fp32-fp32 comparison (required for a few models' test to pass)
      
      * add note about memory consumption on tesla CI runner for failing test
      
      ---------
      Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      beacaa55
  2. 25 Apr, 2024 1 commit
  3. 08 Feb, 2024 1 commit
  4. 13 Nov, 2023 1 commit
  5. 11 Sep, 2023 1 commit
    • Dhruv Nair's avatar
      Lazy Import for Diffusers (#4829) · b6e0b016
      Dhruv Nair authored
      
      
      * initial commit
      
      * move modules to import struct
      
      * add dummy objects and _LazyModule
      
      * add lazy import to schedulers
      
      * clean up unused imports
      
      * lazy import on models module
      
      * lazy import for schedulers module
      
      * add lazy import to pipelines module
      
      * lazy import altdiffusion
      
      * lazy import audio diffusion
      
      * lazy import audioldm
      
      * lazy import consistency model
      
      * lazy import controlnet
      
      * lazy import dance diffusion ddim ddpm
      
      * lazy import deepfloyd
      
      * lazy import kandinksy
      
      * lazy imports
      
      * lazy import semantic diffusion
      
      * lazy imports
      
      * lazy import stable diffusion
      
      * move sd output to its own module
      
      * clean up
      
      * lazy import t2iadapter
      
      * lazy import unclip
      
      * lazy import versatile and vq diffsuion
      
      * lazy import vq diffusion
      
      * helper to fetch objects from modules
      
      * lazy import sdxl
      
      * lazy import txt2vid
      
      * lazy import stochastic karras
      
      * fix model imports
      
      * fix bug
      
      * lazy import
      
      * clean up
      
      * clean up
      
      * fixes for tests
      
      * fixes for tests
      
      * clean up
      
      * remove import of torch_utils from utils module
      
      * clean up
      
      * clean up
      
      * fix mistake import statement
      
      * dedicated modules for exporting and loading
      
      * remove testing utils from utils module
      
      * fixes from  merge conflicts
      
      * Update src/diffusers/pipelines/kandinsky2_2/__init__.py
      
      * fix docs
      
      * fix alt diffusion copied from
      
      * fix check dummies
      
      * fix more docs
      
      * remove accelerate import from utils module
      
      * add type checking
      
      * make style
      
      * fix check dummies
      
      * remove torch import from xformers check
      
      * clean up error message
      
      * fixes after upstream merges
      
      * dummy objects fix
      
      * fix tests
      
      * remove unused module import
      
      ---------
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      b6e0b016
  6. 02 Sep, 2023 1 commit
  7. 12 Aug, 2023 1 commit
  8. 26 Jul, 2023 1 commit
  9. 05 Jun, 2023 1 commit