[Examples] uniform naming notations
since the in parameter `size` represents `args.resolution`, I thus replace the `args.resolution` inside DreamBoothData with `size`. And revise some notations such as `center_crop`.
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
* [train_controlnet_sdxl] Add LANCZOS as the default interpolation mode for image resizing
* [train_dreambooth_lora_flux_advanced] Add LANCZOS as the default interpolation mode for image resizing
* model card gen code
* push modelcard creation
* remove optional from params
* add import
* add use_dora check
* correct lora var use in tags
* make style && make quality
---------
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update pipeline_controlnet.py
* Update pipeline_controlnet_img2img.py
runwayml Take-down so change all from to this
stable-diffusion-v1-5/stable-diffusion-v1-5
* Update pipeline_controlnet_inpaint.py
* runwayml take-down make change to sd-legacy
* runwayml take-down make change to sd-legacy
* runwayml take-down make change to sd-legacy
* runwayml take-down make change to sd-legacy
* Update convert_blipdiffusion_to_diffusers.py
style change
* modelcard generation edit
* add missed tag
* fix param name
* fix var
* change str to dict
* add use_dora check
* use correct tags for lora
* make style && make quality
---------
Co-authored-by: Aryan <aryan@huggingface.co>
* 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
9ee1ef2a0a/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>
* minor changes
* minor changes
* minor changes
* minor changes
* minor changes
* minor changes
* minor changes
* fix
* fix
* aligning with blora script
* aligning with blora script
* aligning with blora script
* aligning with blora script
* aligning with blora script
* remove prints
* style
* default val
* license
* move save_model_card to outside push_to_hub
* Update train_dreambooth_lora_sdxl_advanced.py
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
