diffusers

b821f006 - [Quantization] Add quantization support for `bitsandbytes` (#9213)

[Quantization] Add quantization support for `bitsandbytes` (#9213) * 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: yiyixuxu <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: Steven 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: YiYi Xu <yixu310@gmail.com> * mitigate the confusing cpu warning --------- Co-authored-by: Vishnu V Jaddipal <95531133+Gothos@users.noreply.github.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: YiYi Xu <yixu310@gmail.com>