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IM-0651-0001.jpeg diff --git a/data/IM-0652-0001-0002.jpeg b/IM-0652-0001-0002.jpeg similarity index 100% rename from data/IM-0652-0001-0002.jpeg rename to IM-0652-0001-0002.jpeg diff --git a/data/IM-0652-0001.jpeg b/IM-0652-0001.jpeg similarity index 100% rename from data/IM-0652-0001.jpeg rename to IM-0652-0001.jpeg diff --git a/data.py b/data.py deleted file mode 100644 index 7403d4a22916741d67f8c492f4eb76989ddd363e..0000000000000000000000000000000000000000 --- a/data.py +++ /dev/null @@ -1,5 +0,0 @@ -import pandas as pd - -metadata_df = pd.read_csv("./normal/metadata.csv") - -print(metadata_df.head()) \ No newline at end of file diff --git a/demo_lora.sh b/demo_lora.sh deleted file mode 100644 index 13290ae35a9bb3da44ea3b57cade3869118db7b1..0000000000000000000000000000000000000000 --- a/demo_lora.sh +++ /dev/null @@ -1,26 +0,0 @@ -export MODEL_NAME="stabilityai/stable-diffusion-2-1" -export OUTPUT_DIR="./finetune_lora/normal" -# export HUB_MODEL_ID="pokemon-lora" -export DATASET_NAME="./normal" - -mkdir -p $OUTPUT_DIR - -accelerate launch --mixed_precision="bf16" train_text_to_image_lora.py \ - --pretrained_model_name_or_path=$MODEL_NAME \ - --dataset_name=$DATASET_NAME \ - --dataloader_num_workers=8 \ - --resolution=512 \ - --center_crop \ - --random_flip \ - --train_batch_size=4 \ - --gradient_accumulation_steps=4 \ - --max_train_steps=1000 \ - --learning_rate=1e-04 \ - --max_grad_norm=1 \ - --lr_scheduler="cosine" \ - --lr_warmup_steps=0 \ - --output_dir=${OUTPUT_DIR} \ - --checkpointing_steps=50 \ - --caption_column="en_text" \ - --validation_prompt="X-ray image of a healthy human chest, showing clear lungs, normal heart size, and well-defined rib structures." \ - --seed=1337 \ No newline at end of file diff --git a/data/metadata.csv b/metadata.csv similarity index 100% rename from data/metadata.csv rename to metadata.csv diff --git a/train_text_to_image_lora.py b/train_text_to_image_lora.py deleted file mode 100644 index bd93f3e37c7fe38ee1f76e92a1a91d1204cec8ab..0000000000000000000000000000000000000000 --- a/train_text_to_image_lora.py +++ /dev/null @@ -1,979 +0,0 @@ -#!/usr/bin/env python -# coding=utf-8 -# Copyright 2024 The HuggingFace Inc. team. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -"""Fine-tuning script for Stable Diffusion for text2image with support for LoRA.""" - -import argparse -import logging -import math -import os -import random -import shutil -from contextlib import nullcontext -from pathlib import Path - -import datasets -import numpy as np -import torch -import torch.nn.functional as F -import torch.utils.checkpoint -import transformers -from accelerate import Accelerator -from accelerate.logging import get_logger -from accelerate.utils import ProjectConfiguration, set_seed -from datasets import load_dataset -from huggingface_hub import create_repo, upload_folder -from packaging import version -from peft import LoraConfig -from peft.utils import get_peft_model_state_dict -from torchvision import transforms -from tqdm.auto import tqdm -from transformers import CLIPTextModel, CLIPTokenizer - -import diffusers -from diffusers import AutoencoderKL, DDPMScheduler, DiffusionPipeline, StableDiffusionPipeline, UNet2DConditionModel -from diffusers.optimization import get_scheduler -from diffusers.training_utils import cast_training_params, compute_snr -from diffusers.utils import check_min_version, convert_state_dict_to_diffusers, is_wandb_available -from diffusers.utils.hub_utils import load_or_create_model_card, populate_model_card -from diffusers.utils.import_utils import is_xformers_available -from diffusers.utils.torch_utils import is_compiled_module - - -if is_wandb_available(): - import wandb - -# Will error if the minimal version of diffusers is not installed. Remove at your own risks. -check_min_version("0.30.0.dev0") - -logger = get_logger(__name__, log_level="INFO") - - -def save_model_card( - repo_id: str, - images: list = None, - base_model: str = None, - dataset_name: str = None, - repo_folder: str = None, -): - img_str = "" - if images is not None: - for i, image in enumerate(images): - image.save(os.path.join(repo_folder, f"image_{i}.png")) - img_str += f"![img_{i}](./image_{i}.png)\n" - - model_description = f""" -# LoRA text2image fine-tuning - {repo_id} -These are LoRA adaption weights for {base_model}. The weights were fine-tuned on the {dataset_name} dataset. You can find some example images in the following. \n -{img_str} -""" - - model_card = load_or_create_model_card( - repo_id_or_path=repo_id, - from_training=True, - license="creativeml-openrail-m", - base_model=base_model, - model_description=model_description, - inference=True, - ) - - tags = [ - "stable-diffusion", - "stable-diffusion-diffusers", - "text-to-image", - "diffusers", - "diffusers-training", - "lora", - ] - model_card = populate_model_card(model_card, tags=tags) - - model_card.save(os.path.join(repo_folder, "README.md")) - - -def log_validation( - pipeline, - args, - accelerator, - epoch, - is_final_validation=False, -): - logger.info( - f"Running validation... \n Generating {args.num_validation_images} images with prompt:" - f" {args.validation_prompt}." - ) - pipeline = pipeline.to(accelerator.device) - pipeline.set_progress_bar_config(disable=True) - generator = torch.Generator(device=accelerator.device) - if args.seed is not None: - generator = generator.manual_seed(args.seed) - images = [] - if torch.backends.mps.is_available(): - autocast_ctx = nullcontext() - else: - autocast_ctx = torch.autocast(accelerator.device.type) - - with autocast_ctx: - for _ in range(args.num_validation_images): - images.append(pipeline(args.validation_prompt, num_inference_steps=30, generator=generator).images[0]) - - for tracker in accelerator.trackers: - phase_name = "test" if is_final_validation else "validation" - if tracker.name == "tensorboard": - np_images = np.stack([np.asarray(img) for img in images]) - tracker.writer.add_images(phase_name, np_images, epoch, dataformats="NHWC") - if tracker.name == "wandb": - tracker.log( - { - phase_name: [ - wandb.Image(image, caption=f"{i}: {args.validation_prompt}") for i, image in enumerate(images) - ] - } - ) - return images - - -def parse_args(): - parser = argparse.ArgumentParser(description="Simple example of a training script.") - parser.add_argument( - "--pretrained_model_name_or_path", - type=str, - default=None, - required=True, - help="Path to pretrained model or model identifier from huggingface.co/models.", - ) - parser.add_argument( - "--revision", - type=str, - default=None, - required=False, - help="Revision of pretrained model identifier from huggingface.co/models.", - ) - parser.add_argument( - "--variant", - type=str, - default=None, - help="Variant of the model files of the pretrained model identifier from huggingface.co/models, 'e.g.' fp16", - ) - parser.add_argument( - "--dataset_name", - type=str, - default=None, - help=( - "The name of the Dataset (from the HuggingFace hub) to train on (could be your own, possibly private," - " dataset). It can also be a path pointing to a local copy of a dataset in your filesystem," - " or to a folder containing files that 🤗 Datasets can understand." - ), - ) - parser.add_argument( - "--dataset_config_name", - type=str, - default=None, - help="The config of the Dataset, leave as None if there's only one config.", - ) - parser.add_argument( - "--train_data_dir", - type=str, - default=None, - help=( - "A folder containing the training data. Folder contents must follow the structure described in" - " https://huggingface.co/docs/datasets/image_dataset#imagefolder. In particular, a `metadata.jsonl` file" - " must exist to provide the captions for the images. Ignored if `dataset_name` is specified." - ), - ) - parser.add_argument( - "--image_column", type=str, default="image", help="The column of the dataset containing an image." - ) - parser.add_argument( - "--caption_column", - type=str, - default="text", - help="The column of the dataset containing a caption or a list of captions.", - ) - parser.add_argument( - "--validation_prompt", type=str, default=None, help="A prompt that is sampled during training for inference." - ) - parser.add_argument( - "--num_validation_images", - type=int, - default=4, - help="Number of images that should be generated during validation with `validation_prompt`.", - ) - parser.add_argument( - "--validation_epochs", - type=int, - default=1, - help=( - "Run fine-tuning validation every X epochs. The validation process consists of running the prompt" - " `args.validation_prompt` multiple times: `args.num_validation_images`." - ), - ) - parser.add_argument( - "--max_train_samples", - type=int, - default=None, - help=( - "For debugging purposes or quicker training, truncate the number of training examples to this " - "value if set." - ), - ) - parser.add_argument( - "--output_dir", - type=str, - default="sd-model-finetuned-lora", - help="The output directory where the model predictions and checkpoints will be written.", - ) - parser.add_argument( - "--cache_dir", - type=str, - default=None, - help="The directory where the downloaded models and datasets will be stored.", - ) - parser.add_argument("--seed", type=int, default=None, help="A seed for reproducible training.") - parser.add_argument( - "--resolution", - type=int, - default=512, - help=( - "The resolution for input images, all the images in the train/validation dataset will be resized to this" - " resolution" - ), - ) - parser.add_argument( - "--center_crop", - default=False, - action="store_true", - help=( - "Whether to center crop the input images to the resolution. If not set, the images will be randomly" - " cropped. The images will be resized to the resolution first before cropping." - ), - ) - parser.add_argument( - "--random_flip", - action="store_true", - help="whether to randomly flip images horizontally", - ) - parser.add_argument( - "--train_batch_size", type=int, default=16, help="Batch size (per device) for the training dataloader." - ) - parser.add_argument("--num_train_epochs", type=int, default=100) - parser.add_argument( - "--max_train_steps", - type=int, - default=None, - help="Total number of training steps to perform. If provided, overrides num_train_epochs.", - ) - parser.add_argument( - "--gradient_accumulation_steps", - type=int, - default=1, - help="Number of updates steps to accumulate before performing a backward/update pass.", - ) - parser.add_argument( - "--gradient_checkpointing", - action="store_true", - help="Whether or not to use gradient checkpointing to save memory at the expense of slower backward pass.", - ) - parser.add_argument( - "--learning_rate", - type=float, - default=1e-4, - help="Initial learning rate (after the potential warmup period) to use.", - ) - parser.add_argument( - "--scale_lr", - action="store_true", - default=False, - help="Scale the learning rate by the number of GPUs, gradient accumulation steps, and batch size.", - ) - parser.add_argument( - "--lr_scheduler", - type=str, - default="constant", - help=( - 'The scheduler type to use. Choose between ["linear", "cosine", "cosine_with_restarts", "polynomial",' - ' "constant", "constant_with_warmup"]' - ), - ) - parser.add_argument( - "--lr_warmup_steps", type=int, default=500, help="Number of steps for the warmup in the lr scheduler." - ) - parser.add_argument( - "--snr_gamma", - type=float, - default=None, - help="SNR weighting gamma to be used if rebalancing the loss. Recommended value is 5.0. " - "More details here: https://arxiv.org/abs/2303.09556.", - ) - parser.add_argument( - "--use_8bit_adam", action="store_true", help="Whether or not to use 8-bit Adam from bitsandbytes." - ) - parser.add_argument( - "--allow_tf32", - action="store_true", - help=( - "Whether or not to allow TF32 on Ampere GPUs. Can be used to speed up training. For more information, see" - " https://pytorch.org/docs/stable/notes/cuda.html#tensorfloat-32-tf32-on-ampere-devices" - ), - ) - parser.add_argument( - "--dataloader_num_workers", - type=int, - default=0, - help=( - "Number of subprocesses to use for data loading. 0 means that the data will be loaded in the main process." - ), - ) - parser.add_argument("--adam_beta1", type=float, default=0.9, help="The beta1 parameter for the Adam optimizer.") - parser.add_argument("--adam_beta2", type=float, default=0.999, help="The beta2 parameter for the Adam optimizer.") - parser.add_argument("--adam_weight_decay", type=float, default=1e-2, help="Weight decay to use.") - parser.add_argument("--adam_epsilon", type=float, default=1e-08, help="Epsilon value for the Adam optimizer") - parser.add_argument("--max_grad_norm", default=1.0, type=float, help="Max gradient norm.") - parser.add_argument("--push_to_hub", action="store_true", help="Whether or not to push the model to the Hub.") - parser.add_argument("--hub_token", type=str, default=None, help="The token to use to push to the Model Hub.") - parser.add_argument( - "--prediction_type", - type=str, - default=None, - help="The prediction_type that shall be used for training. Choose between 'epsilon' or 'v_prediction' or leave `None`. If left to `None` the default prediction type of the scheduler: `noise_scheduler.config.prediction_type` is chosen.", - ) - parser.add_argument( - "--hub_model_id", - type=str, - default=None, - help="The name of the repository to keep in sync with the local `output_dir`.", - ) - parser.add_argument( - "--logging_dir", - type=str, - default="logs", - help=( - "[TensorBoard](https://www.tensorflow.org/tensorboard) log directory. Will default to" - " *output_dir/runs/**CURRENT_DATETIME_HOSTNAME***." - ), - ) - parser.add_argument( - "--mixed_precision", - type=str, - default=None, - choices=["no", "fp16", "bf16"], - help=( - "Whether to use mixed precision. Choose between fp16 and bf16 (bfloat16). Bf16 requires PyTorch >=" - " 1.10.and an Nvidia Ampere GPU. Default to the value of accelerate config of the current system or the" - " flag passed with the `accelerate.launch` command. Use this argument to override the accelerate config." - ), - ) - parser.add_argument( - "--report_to", - type=str, - default="tensorboard", - help=( - 'The integration to report the results and logs to. Supported platforms are `"tensorboard"`' - ' (default), `"wandb"` and `"comet_ml"`. Use `"all"` to report to all integrations.' - ), - ) - parser.add_argument("--local_rank", type=int, default=-1, help="For distributed training: local_rank") - parser.add_argument( - "--checkpointing_steps", - type=int, - default=500, - help=( - "Save a checkpoint of the training state every X updates. These checkpoints are only suitable for resuming" - " training using `--resume_from_checkpoint`." - ), - ) - parser.add_argument( - "--checkpoints_total_limit", - type=int, - default=None, - help=("Max number of checkpoints to store."), - ) - parser.add_argument( - "--resume_from_checkpoint", - type=str, - default=None, - help=( - "Whether training should be resumed from a previous checkpoint. Use a path saved by" - ' `--checkpointing_steps`, or `"latest"` to automatically select the last available checkpoint.' - ), - ) - parser.add_argument( - "--enable_xformers_memory_efficient_attention", action="store_true", help="Whether or not to use xformers." - ) - parser.add_argument("--noise_offset", type=float, default=0, help="The scale of noise offset.") - parser.add_argument( - "--rank", - type=int, - default=4, - help=("The dimension of the LoRA update matrices."), - ) - - args = parser.parse_args() - env_local_rank = int(os.environ.get("LOCAL_RANK", -1)) - if env_local_rank != -1 and env_local_rank != args.local_rank: - args.local_rank = env_local_rank - - # Sanity checks - if args.dataset_name is None and args.train_data_dir is None: - raise ValueError("Need either a dataset name or a training folder.") - - return args - - -DATASET_NAME_MAPPING = { - "lambdalabs/naruto-blip-captions": ("image", "text"), -} - - -def main(): - args = parse_args() - if args.report_to == "wandb" and args.hub_token is not None: - raise ValueError( - "You cannot use both --report_to=wandb and --hub_token due to a security risk of exposing your token." - " Please use `huggingface-cli login` to authenticate with the Hub." - ) - - logging_dir = Path(args.output_dir, args.logging_dir) - - accelerator_project_config = ProjectConfiguration(project_dir=args.output_dir, logging_dir=logging_dir) - - accelerator = Accelerator( - gradient_accumulation_steps=args.gradient_accumulation_steps, - mixed_precision=args.mixed_precision, - log_with=args.report_to, - project_config=accelerator_project_config, - ) - - # Disable AMP for MPS. - if torch.backends.mps.is_available(): - accelerator.native_amp = False - - # Make one log on every process with the configuration for debugging. - logging.basicConfig( - format="%(asctime)s - %(levelname)s - %(name)s - %(message)s", - datefmt="%m/%d/%Y %H:%M:%S", - level=logging.INFO, - ) - logger.info(accelerator.state, main_process_only=False) - if accelerator.is_local_main_process: - datasets.utils.logging.set_verbosity_warning() - transformers.utils.logging.set_verbosity_warning() - diffusers.utils.logging.set_verbosity_info() - else: - datasets.utils.logging.set_verbosity_error() - transformers.utils.logging.set_verbosity_error() - diffusers.utils.logging.set_verbosity_error() - - # If passed along, set the training seed now. - if args.seed is not None: - set_seed(args.seed) - - # Handle the repository creation - if accelerator.is_main_process: - if args.output_dir is not None: - os.makedirs(args.output_dir, exist_ok=True) - - if args.push_to_hub: - repo_id = create_repo( - repo_id=args.hub_model_id or Path(args.output_dir).name, exist_ok=True, token=args.hub_token - ).repo_id - # Load scheduler, tokenizer and models. - noise_scheduler = DDPMScheduler.from_pretrained(args.pretrained_model_name_or_path, subfolder="scheduler") - tokenizer = CLIPTokenizer.from_pretrained( - args.pretrained_model_name_or_path, subfolder="tokenizer", revision=args.revision - ) - text_encoder = CLIPTextModel.from_pretrained( - args.pretrained_model_name_or_path, subfolder="text_encoder", revision=args.revision - ) - vae = AutoencoderKL.from_pretrained( - args.pretrained_model_name_or_path, subfolder="vae", revision=args.revision, variant=args.variant - ) - unet = UNet2DConditionModel.from_pretrained( - args.pretrained_model_name_or_path, subfolder="unet", revision=args.revision, variant=args.variant - ) - # freeze parameters of models to save more memory - unet.requires_grad_(False) - vae.requires_grad_(False) - text_encoder.requires_grad_(False) - - # For mixed precision training we cast all non-trainable weights (vae, non-lora text_encoder and non-lora unet) to half-precision - # as these weights are only used for inference, keeping weights in full precision is not required. - weight_dtype = torch.float32 - if accelerator.mixed_precision == "fp16": - weight_dtype = torch.float16 - elif accelerator.mixed_precision == "bf16": - weight_dtype = torch.bfloat16 - - # Freeze the unet parameters before adding adapters - for param in unet.parameters(): - param.requires_grad_(False) - - unet_lora_config = LoraConfig( - r=args.rank, - lora_alpha=args.rank, - init_lora_weights="gaussian", - target_modules=["to_k", "to_q", "to_v", "to_out.0"], - ) - - # Move unet, vae and text_encoder to device and cast to weight_dtype - unet.to(accelerator.device, dtype=weight_dtype) - vae.to(accelerator.device, dtype=weight_dtype) - text_encoder.to(accelerator.device, dtype=weight_dtype) - - # Add adapter and make sure the trainable params are in float32. - unet.add_adapter(unet_lora_config) - if args.mixed_precision == "fp16": - # only upcast trainable parameters (LoRA) into fp32 - cast_training_params(unet, dtype=torch.float32) - - if args.enable_xformers_memory_efficient_attention: - if is_xformers_available(): - import xformers - - xformers_version = version.parse(xformers.__version__) - if xformers_version == version.parse("0.0.16"): - logger.warning( - "xFormers 0.0.16 cannot be used for training in some GPUs. If you observe problems during training, please update xFormers to at least 0.0.17. See https://huggingface.co/docs/diffusers/main/en/optimization/xformers for more details." - ) - unet.enable_xformers_memory_efficient_attention() - else: - raise ValueError("xformers is not available. Make sure it is installed correctly") - - lora_layers = filter(lambda p: p.requires_grad, unet.parameters()) - - if args.gradient_checkpointing: - unet.enable_gradient_checkpointing() - - # Enable TF32 for faster training on Ampere GPUs, - # cf https://pytorch.org/docs/stable/notes/cuda.html#tensorfloat-32-tf32-on-ampere-devices - if args.allow_tf32: - torch.backends.cuda.matmul.allow_tf32 = True - - if args.scale_lr: - args.learning_rate = ( - args.learning_rate * args.gradient_accumulation_steps * args.train_batch_size * accelerator.num_processes - ) - - # Initialize the optimizer - if args.use_8bit_adam: - try: - import bitsandbytes as bnb - except ImportError: - raise ImportError( - "Please install bitsandbytes to use 8-bit Adam. You can do so by running `pip install bitsandbytes`" - ) - - optimizer_cls = bnb.optim.AdamW8bit - else: - optimizer_cls = torch.optim.AdamW - - optimizer = optimizer_cls( - lora_layers, - lr=args.learning_rate, - betas=(args.adam_beta1, args.adam_beta2), - weight_decay=args.adam_weight_decay, - eps=args.adam_epsilon, - ) - - # Get the datasets: you can either provide your own training and evaluation files (see below) - # or specify a Dataset from the hub (the dataset will be downloaded automatically from the datasets Hub). - - # In distributed training, the load_dataset function guarantees that only one local process can concurrently - # download the dataset. - if args.dataset_name is not None: - # Downloading and loading a dataset from the hub. - dataset = load_dataset( - args.dataset_name, - args.dataset_config_name, - cache_dir=args.cache_dir, - data_dir=args.train_data_dir, - ) - else: - data_files = {} - if args.train_data_dir is not None: - data_files["train"] = os.path.join(args.train_data_dir, "**") - dataset = load_dataset( - "imagefolder", - data_files=data_files, - cache_dir=args.cache_dir, - ) - # See more about loading custom images at - # https://huggingface.co/docs/datasets/v2.4.0/en/image_load#imagefolder - - # Preprocessing the datasets. - # We need to tokenize inputs and targets. - column_names = dataset["train"].column_names - - # 6. Get the column names for input/target. - dataset_columns = DATASET_NAME_MAPPING.get(args.dataset_name, None) - if args.image_column is None: - image_column = dataset_columns[0] if dataset_columns is not None else column_names[0] - else: - image_column = args.image_column - if image_column not in column_names: - raise ValueError( - f"--image_column' value '{args.image_column}' needs to be one of: {', '.join(column_names)}" - ) - if args.caption_column is None: - caption_column = dataset_columns[1] if dataset_columns is not None else column_names[1] - else: - caption_column = args.caption_column - if caption_column not in column_names: - raise ValueError( - f"--caption_column' value '{args.caption_column}' needs to be one of: {', '.join(column_names)}" - ) - - # Preprocessing the datasets. - # We need to tokenize input captions and transform the images. - def tokenize_captions(examples, is_train=True): - captions = [] - for caption in examples[caption_column]: - if isinstance(caption, str): - captions.append(caption) - elif isinstance(caption, (list, np.ndarray)): - # take a random caption if there are multiple - captions.append(random.choice(caption) if is_train else caption[0]) - else: - raise ValueError( - f"Caption column `{caption_column}` should contain either strings or lists of strings." - ) - inputs = tokenizer( - captions, max_length=tokenizer.model_max_length, padding="max_length", truncation=True, return_tensors="pt" - ) - return inputs.input_ids - - # Preprocessing the datasets. - train_transforms = transforms.Compose( - [ - transforms.Resize(args.resolution, interpolation=transforms.InterpolationMode.BILINEAR), - transforms.CenterCrop(args.resolution) if args.center_crop else transforms.RandomCrop(args.resolution), - transforms.RandomHorizontalFlip() if args.random_flip else transforms.Lambda(lambda x: x), - transforms.ToTensor(), - transforms.Normalize([0.5], [0.5]), - ] - ) - - def unwrap_model(model): - model = accelerator.unwrap_model(model) - model = model._orig_mod if is_compiled_module(model) else model - return model - - def preprocess_train(examples): - images = [image.convert("RGB") for image in examples[image_column]] - examples["pixel_values"] = [train_transforms(image) for image in images] - examples["input_ids"] = tokenize_captions(examples) - return examples - - with accelerator.main_process_first(): - if args.max_train_samples is not None: - dataset["train"] = dataset["train"].shuffle(seed=args.seed).select(range(args.max_train_samples)) - # Set the training transforms - train_dataset = dataset["train"].with_transform(preprocess_train) - - def collate_fn(examples): - pixel_values = torch.stack([example["pixel_values"] for example in examples]) - pixel_values = pixel_values.to(memory_format=torch.contiguous_format).float() - input_ids = torch.stack([example["input_ids"] for example in examples]) - return {"pixel_values": pixel_values, "input_ids": input_ids} - - # DataLoaders creation: - train_dataloader = torch.utils.data.DataLoader( - train_dataset, - shuffle=True, - collate_fn=collate_fn, - batch_size=args.train_batch_size, - num_workers=args.dataloader_num_workers, - ) - - # Scheduler and math around the number of training steps. - # Check the PR https://github.com/huggingface/diffusers/pull/8312 for detailed explanation. - num_warmup_steps_for_scheduler = args.lr_warmup_steps * accelerator.num_processes - if args.max_train_steps is None: - len_train_dataloader_after_sharding = math.ceil(len(train_dataloader) / accelerator.num_processes) - num_update_steps_per_epoch = math.ceil(len_train_dataloader_after_sharding / args.gradient_accumulation_steps) - num_training_steps_for_scheduler = ( - args.num_train_epochs * num_update_steps_per_epoch * accelerator.num_processes - ) - else: - num_training_steps_for_scheduler = args.max_train_steps * accelerator.num_processes - - lr_scheduler = get_scheduler( - args.lr_scheduler, - optimizer=optimizer, - num_warmup_steps=num_warmup_steps_for_scheduler, - num_training_steps=num_training_steps_for_scheduler, - ) - - # Prepare everything with our `accelerator`. - unet, optimizer, train_dataloader, lr_scheduler = accelerator.prepare( - unet, optimizer, train_dataloader, lr_scheduler - ) - - # We need to recalculate our total training steps as the size of the training dataloader may have changed. - num_update_steps_per_epoch = math.ceil(len(train_dataloader) / args.gradient_accumulation_steps) - if args.max_train_steps is None: - args.max_train_steps = args.num_train_epochs * num_update_steps_per_epoch - if num_training_steps_for_scheduler != args.max_train_steps * accelerator.num_processes: - logger.warning( - f"The length of the 'train_dataloader' after 'accelerator.prepare' ({len(train_dataloader)}) does not match " - f"the expected length ({len_train_dataloader_after_sharding}) when the learning rate scheduler was created. " - f"This inconsistency may result in the learning rate scheduler not functioning properly." - ) - # Afterwards we recalculate our number of training epochs - args.num_train_epochs = math.ceil(args.max_train_steps / num_update_steps_per_epoch) - - # We need to initialize the trackers we use, and also store our configuration. - # The trackers initializes automatically on the main process. - if accelerator.is_main_process: - accelerator.init_trackers("text2image-fine-tune", config=vars(args)) - - # Train! - total_batch_size = args.train_batch_size * accelerator.num_processes * args.gradient_accumulation_steps - - logger.info("***** Running training *****") - logger.info(f" Num examples = {len(train_dataset)}") - logger.info(f" Num Epochs = {args.num_train_epochs}") - logger.info(f" Instantaneous batch size per device = {args.train_batch_size}") - logger.info(f" Total train batch size (w. parallel, distributed & accumulation) = {total_batch_size}") - logger.info(f" Gradient Accumulation steps = {args.gradient_accumulation_steps}") - logger.info(f" Total optimization steps = {args.max_train_steps}") - global_step = 0 - first_epoch = 0 - - # Potentially load in the weights and states from a previous save - if args.resume_from_checkpoint: - if args.resume_from_checkpoint != "latest": - path = os.path.basename(args.resume_from_checkpoint) - else: - # Get the most recent checkpoint - dirs = os.listdir(args.output_dir) - dirs = [d for d in dirs if d.startswith("checkpoint")] - dirs = sorted(dirs, key=lambda x: int(x.split("-")[1])) - path = dirs[-1] if len(dirs) > 0 else None - - if path is None: - accelerator.print( - f"Checkpoint '{args.resume_from_checkpoint}' does not exist. Starting a new training run." - ) - args.resume_from_checkpoint = None - initial_global_step = 0 - else: - accelerator.print(f"Resuming from checkpoint {path}") - accelerator.load_state(os.path.join(args.output_dir, path)) - global_step = int(path.split("-")[1]) - - initial_global_step = global_step - first_epoch = global_step // num_update_steps_per_epoch - else: - initial_global_step = 0 - - progress_bar = tqdm( - range(0, args.max_train_steps), - initial=initial_global_step, - desc="Steps", - # Only show the progress bar once on each machine. - disable=not accelerator.is_local_main_process, - ) - - for epoch in range(first_epoch, args.num_train_epochs): - unet.train() - train_loss = 0.0 - for step, batch in enumerate(train_dataloader): - with accelerator.accumulate(unet): - # Convert images to latent space - latents = vae.encode(batch["pixel_values"].to(dtype=weight_dtype)).latent_dist.sample() - latents = latents * vae.config.scaling_factor - - # Sample noise that we'll add to the latents - noise = torch.randn_like(latents) - if args.noise_offset: - # https://www.crosslabs.org//blog/diffusion-with-offset-noise - noise += args.noise_offset * torch.randn( - (latents.shape[0], latents.shape[1], 1, 1), device=latents.device - ) - - bsz = latents.shape[0] - # Sample a random timestep for each image - timesteps = torch.randint(0, noise_scheduler.config.num_train_timesteps, (bsz,), device=latents.device) - timesteps = timesteps.long() - - # Add noise to the latents according to the noise magnitude at each timestep - # (this is the forward diffusion process) - noisy_latents = noise_scheduler.add_noise(latents, noise, timesteps) - - # Get the text embedding for conditioning - encoder_hidden_states = text_encoder(batch["input_ids"], return_dict=False)[0] - - # Get the target for loss depending on the prediction type - if args.prediction_type is not None: - # set prediction_type of scheduler if defined - noise_scheduler.register_to_config(prediction_type=args.prediction_type) - - if noise_scheduler.config.prediction_type == "epsilon": - target = noise - elif noise_scheduler.config.prediction_type == "v_prediction": - target = noise_scheduler.get_velocity(latents, noise, timesteps) - else: - raise ValueError(f"Unknown prediction type {noise_scheduler.config.prediction_type}") - - # Predict the noise residual and compute loss - model_pred = unet(noisy_latents, timesteps, encoder_hidden_states, return_dict=False)[0] - - if args.snr_gamma is None: - loss = F.mse_loss(model_pred.float(), target.float(), reduction="mean") - else: - # Compute loss-weights as per Section 3.4 of https://arxiv.org/abs/2303.09556. - # Since we predict the noise instead of x_0, the original formulation is slightly changed. - # This is discussed in Section 4.2 of the same paper. - snr = compute_snr(noise_scheduler, timesteps) - mse_loss_weights = torch.stack([snr, args.snr_gamma * torch.ones_like(timesteps)], dim=1).min( - dim=1 - )[0] - if noise_scheduler.config.prediction_type == "epsilon": - mse_loss_weights = mse_loss_weights / snr - elif noise_scheduler.config.prediction_type == "v_prediction": - mse_loss_weights = mse_loss_weights / (snr + 1) - - loss = F.mse_loss(model_pred.float(), target.float(), reduction="none") - loss = loss.mean(dim=list(range(1, len(loss.shape)))) * mse_loss_weights - loss = loss.mean() - - # Gather the losses across all processes for logging (if we use distributed training). - avg_loss = accelerator.gather(loss.repeat(args.train_batch_size)).mean() - train_loss += avg_loss.item() / args.gradient_accumulation_steps - - # Backpropagate - accelerator.backward(loss) - if accelerator.sync_gradients: - params_to_clip = lora_layers - accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm) - optimizer.step() - lr_scheduler.step() - optimizer.zero_grad() - - # Checks if the accelerator has performed an optimization step behind the scenes - if accelerator.sync_gradients: - progress_bar.update(1) - global_step += 1 - accelerator.log({"train_loss": train_loss}, step=global_step) - train_loss = 0.0 - - if global_step % args.checkpointing_steps == 0: - if accelerator.is_main_process: - # _before_ saving state, check if this save would set us over the `checkpoints_total_limit` - if args.checkpoints_total_limit is not None: - checkpoints = os.listdir(args.output_dir) - checkpoints = [d for d in checkpoints if d.startswith("checkpoint")] - checkpoints = sorted(checkpoints, key=lambda x: int(x.split("-")[1])) - - # before we save the new checkpoint, we need to have at _most_ `checkpoints_total_limit - 1` checkpoints - if len(checkpoints) >= args.checkpoints_total_limit: - num_to_remove = len(checkpoints) - args.checkpoints_total_limit + 1 - removing_checkpoints = checkpoints[0:num_to_remove] - - logger.info( - f"{len(checkpoints)} checkpoints already exist, removing {len(removing_checkpoints)} checkpoints" - ) - logger.info(f"removing checkpoints: {', '.join(removing_checkpoints)}") - - for removing_checkpoint in removing_checkpoints: - removing_checkpoint = os.path.join(args.output_dir, removing_checkpoint) - shutil.rmtree(removing_checkpoint) - - save_path = os.path.join(args.output_dir, f"checkpoint-{global_step}") - accelerator.save_state(save_path) - - unwrapped_unet = unwrap_model(unet) - unet_lora_state_dict = convert_state_dict_to_diffusers( - get_peft_model_state_dict(unwrapped_unet) - ) - - StableDiffusionPipeline.save_lora_weights( - save_directory=save_path, - unet_lora_layers=unet_lora_state_dict, - safe_serialization=True, - ) - - logger.info(f"Saved state to {save_path}") - - logs = {"step_loss": loss.detach().item(), "lr": lr_scheduler.get_last_lr()[0]} - progress_bar.set_postfix(**logs) - - if global_step >= args.max_train_steps: - break - - if accelerator.is_main_process: - if args.validation_prompt is not None and epoch % args.validation_epochs == 0: - # create pipeline - pipeline = DiffusionPipeline.from_pretrained( - args.pretrained_model_name_or_path, - unet=unwrap_model(unet), - revision=args.revision, - variant=args.variant, - torch_dtype=weight_dtype, - ) - images = log_validation(pipeline, args, accelerator, epoch) - - del pipeline - torch.cuda.empty_cache() - - # Save the lora layers - accelerator.wait_for_everyone() - if accelerator.is_main_process: - unet = unet.to(torch.float32) - - unwrapped_unet = unwrap_model(unet) - unet_lora_state_dict = convert_state_dict_to_diffusers(get_peft_model_state_dict(unwrapped_unet)) - StableDiffusionPipeline.save_lora_weights( - save_directory=args.output_dir, - unet_lora_layers=unet_lora_state_dict, - safe_serialization=True, - ) - - # Final inference - # Load previous pipeline - if args.validation_prompt is not None: - pipeline = DiffusionPipeline.from_pretrained( - args.pretrained_model_name_or_path, - revision=args.revision, - variant=args.variant, - torch_dtype=weight_dtype, - ) - - # load attention processors - pipeline.load_lora_weights(args.output_dir) - - # run inference - images = log_validation(pipeline, args, accelerator, epoch, is_final_validation=True) - - if args.push_to_hub: - save_model_card( - repo_id, - images=images, - base_model=args.pretrained_model_name_or_path, - dataset_name=args.dataset_name, - repo_folder=args.output_dir, - ) - upload_folder( - repo_id=repo_id, - folder_path=args.output_dir, - commit_message="End of training", - ignore_patterns=["step_*", "epoch_*"], - ) - - accelerator.end_training() - - -if __name__ == "__main__": - main()