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  12. 22 Oct, 2024 1 commit
    • Sayak Paul's avatar
      [bitsandbbytes] follow-ups (#9730) · 60ffa842
      Sayak Paul authored
      * bnb follow ups.
      
      * add a warning when dtypes mismatch.
      
      * fx-copies
      
      * clear cache.
      
      * check_if_quantized_param
      
      * add a check on shape.
      
      * updates
      
      * docs
      
      * improve readability.
      
      * resources.
      
      * fix
      60ffa842
  13. 21 Oct, 2024 1 commit
    • Sayak Paul's avatar
      [Quantization] Add quantization support for `bitsandbytes` (#9213) · b821f006
      Sayak Paul authored
      * quantization config.
      
      * fix-copies
      
      * fix
      
      * modules_to_not_convert
      
      * add bitsandbytes utilities.
      
      * make progress.
      
      * fixes
      
      * quality
      
      * up
      
      * up
      
      rotary embedding refactor 2: update comments, fix dtype for use_real=False (#9312)
      
      fix notes and dtype
      
      up
      
      up
      
      * minor
      
      * up
      
      * up
      
      * fix
      
      * provide credits where due.
      
      * make configurations work.
      
      * fixes
      
      * fix
      
      * update_missing_keys
      
      * fix
      
      * fix
      
      * make it work.
      
      * fix
      
      * provide credits to transformers.
      
      * empty commit
      
      * handle to() better.
      
      * tests
      
      * change to bnb from bitsandbytes
      
      * fix tests
      
      fix slow quality tests
      
      SD3 remark
      
      fix
      
      complete int4 tests
      
      add a readme to the test files.
      
      add model cpu offload tests
      
      warning test
      
      * better safeguard.
      
      * change merging status
      
      * courtesy to transformers.
      
      * move  upper.
      
      * better
      
      * make the unused kwargs warning friendlier.
      
      * harmonize changes with https://github.com/huggingface/transformers/pull/33122
      
      
      
      * style
      
      * trainin tests
      
      * feedback part i.
      
      * Add Flux inpainting and Flux Img2Img (#9135)
      
      ---------
      Co-authored-by: default avataryiyixuxu <yixu310@gmail.com>
      
      Update `UNet2DConditionModel`'s error messages (#9230)
      
      * refactor
      
      [CI] Update Single file Nightly Tests (#9357)
      
      * update
      
      * update
      
      feedback.
      
      improve README for flux dreambooth lora (#9290)
      
      * improve readme
      
      * improve readme
      
      * improve readme
      
      * improve readme
      
      fix one uncaught deprecation warning for accessing vae_latent_channels in VaeImagePreprocessor (#9372)
      
      deprecation warning vae_latent_channels
      
      add mixed int8 tests and more tests to nf4.
      
      [core] Freenoise memory improvements (#9262)
      
      * update
      
      * implement prompt interpolation
      
      * make style
      
      * resnet memory optimizations
      
      * more memory optimizations; todo: refactor
      
      * update
      
      * update animatediff controlnet with latest changes
      
      * refactor chunked inference changes
      
      * remove print statements
      
      * update
      
      * chunk -> split
      
      * remove changes from incorrect conflict resolution
      
      * remove changes from incorrect conflict resolution
      
      * add explanation of SplitInferenceModule
      
      * update docs
      
      * Revert "update docs"
      
      This reverts commit c55a50a271b2cefa8fe340a4f2a3ab9b9d374ec0.
      
      * update docstring for freenoise split inference
      
      * apply suggestions from review
      
      * add tests
      
      * apply suggestions from review
      
      quantization docs.
      
      docs.
      
      * Revert "Add Flux inpainting and Flux Img2Img (#9135)"
      
      This reverts commit 5799954dd4b3d753c7c1b8d722941350fe4f62ca.
      
      * tests
      
      * don
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      
      * contribution guide.
      
      * changes
      
      * empty
      
      * fix tests
      
      * harmonize with https://github.com/huggingface/transformers/pull/33546
      
      .
      
      * numpy_cosine_distance
      
      * config_dict modification.
      
      * remove if config comment.
      
      * note for load_state_dict changes.
      
      * float8 check.
      
      * quantizer.
      
      * raise an error for non-True low_cpu_mem_usage values when using quant.
      
      * low_cpu_mem_usage shenanigans when using fp32 modules.
      
      * don't re-assign _pre_quantization_type.
      
      * make comments clear.
      
      * remove comments.
      
      * handle mixed types better when moving to cpu.
      
      * add tests to check if we're throwing warning rightly.
      
      * better check.
      
      * fix 8bit test_quality.
      
      * handle dtype more robustly.
      
      * better message when keep_in_fp32_modules.
      
      * handle dtype casting.
      
      * fix dtype checks in pipeline.
      
      * fix warning message.
      
      * Update src/diffusers/models/modeling_utils.py
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      
      * mitigate the confusing cpu warning
      
      ---------
      Co-authored-by: default avatarVishnu V Jaddipal <95531133+Gothos@users.noreply.github.com>
      Co-authored-by: default avatarSteven Liu <59462357+stevhliu@users.noreply.github.com>
      Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      b821f006