mirror of
https://github.com/storytold/FineTrainers-Conditioning.git
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e5df80cc36
* Full Finetuning for LTX possibily extended to other models. * Change name of the flag * Used disable grad for component on lora fine tuning enabled * Suggestions Addressed Renamed to SFT Added 2 other models. Testing required. * Switching to Full FineTuning * Run linter. * parse subfolder when needed. * tackle saving and loading hooks. * tackle validation. * fix subfolder bug. * remove __class__. * refactor * remove unnecessary changes * handle saving of final model weights correctly * remove unnecessary changes * LTX uses a default frame rate of 24 FPS We need to modify the output validation framerate to match that value. Add Framerate args. Add Update video output and inference frame rate * There was a results_args mapping that needed to be modified. * update * update README * Update README.md * update docs * add training configuration in cogvideox --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Aryan <aryan@huggingface.co> Co-authored-by: Aryan <contact.aryanvs@gmail.com>
31 lines
897 B
Python
31 lines
897 B
Python
from diffusers import HunyuanVideoPipeline
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from .hunyuan_video_lora import (
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collate_fn_t2v,
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forward_pass,
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initialize_pipeline,
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load_condition_models,
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load_diffusion_models,
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load_latent_models,
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post_latent_preparation,
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prepare_conditions,
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prepare_latents,
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validation,
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)
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# TODO(aryan): refactor into model specs for better re-use
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HUNYUAN_VIDEO_T2V_FULL_FINETUNE_CONFIG = {
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"pipeline_cls": HunyuanVideoPipeline,
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"load_condition_models": load_condition_models,
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"load_latent_models": load_latent_models,
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"load_diffusion_models": load_diffusion_models,
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"initialize_pipeline": initialize_pipeline,
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"prepare_conditions": prepare_conditions,
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"prepare_latents": prepare_latents,
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"post_latent_preparation": post_latent_preparation,
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"collate_fn": collate_fn_t2v,
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"forward_pass": forward_pass,
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"validation": validation,
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}
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