diffusers

9a7f8246 - [Flux] Add advanced training script + support textual inversion inference (#9434)

[Flux] Add advanced training script + support textual inversion inference (#9434) * add ostris trainer to README & add cache latents of vae * add ostris trainer to README & add cache latents of vae * style * readme * add test for latent caching * add ostris noise scheduler https://github.com/ostris/ai-toolkit/blob/9ee1ef2a0a2a9a02b92d114a95f21312e5906e54/toolkit/samplers/custom_flowmatch_sampler.py#L95 * style * fix import * style * fix tests * style * --change upcasting of transformer? * update readme according to main * add pivotal tuning for CLIP * fix imports, encode_prompt call,add TextualInversionLoaderMixin to FluxPipeline for inference * TextualInversionLoaderMixin support for FluxPipeline for inference * move changes to advanced flux script, revert canonical * add latent caching to canonical script * revert changes to canonical script to keep it separate from https://github.com/huggingface/diffusers/pull/9160 * revert changes to canonical script to keep it separate from https://github.com/huggingface/diffusers/pull/9160 * style * remove redundant line and change code block placement to align with logic * add initializer_token arg * add transformer frac for range support from pure textual inversion to the orig pivotal tuning * support pure textual inversion - wip * adjustments to support pure textual inversion and transformer optimization in only part of the epochs * fix logic when using initializer token * fix pure_textual_inversion_condition * fix ti/pivotal loading of last validation run * remove embeddings loading for ti in final training run (to avoid adding huggingface hub dependency) * support pivotal for t5 * adapt pivotal for T5 encoder * adapt pivotal for T5 encoder and support in flux pipeline * t5 pivotal support + support fo pivotal for clip only or both * fix param chaining * fix param chaining * README first draft * readme * readme * readme * style * fix import * style * add fix from https://github.com/huggingface/diffusers/pull/9419 * add to readme, change function names * te lr changes * readme * change concept tokens logic * fix indices * change arg name * style * dummy test * revert dummy test * reorder pivoting * add warning in case the token abstraction is not the instance prompt * experimental - wip - specific block training * fix documentation and token abstraction processing * remove transformer block specification feature (for now) * style * fix copies * fix indexing issue when --initializer_concept has different amounts * add if TextualInversionLoaderMixin to all flux pipelines * style * fix import * fix imports * address review comments - remove necessary prints & comments, use pin_memory=True, use free_memory utils, unify warning and prints * style * logger info fix * make lora target modules configurable and change the default * make lora target modules configurable and change the default * style * make lora target modules configurable and change the default, add notes to readme * style * add tests * style * fix repo id * add updated requirements for advanced flux * fix indices of t5 pivotal tuning embeddings * fix path in test * remove `pin_memory` * fix filename of embedding * fix filename of embedding --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: YiYi Xu <yixu310@gmail.com>