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train.sh
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#!/usr/bin/env bash
# Pull the default config.
[ -f "config/config.env.example" ] && source config/config.env.example
# Pull config from config.env
[ -f "config/config.env" ] && source config/config.env
# If the user has not provided VENV_PATH, we will assume $(pwd)/.venv
if [ -z "${VENV_PATH}" ]; then
# what if we have VIRTUAL_ENV? use that instead
if [ -n "${VIRTUAL_ENV}" ]; then
export VENV_PATH="${VIRTUAL_ENV}"
else
export VENV_PATH="$(pwd)/.venv"
fi
fi
if [ -z "${DISABLE_LD_OVERRIDE}" ]; then
export NVJITLINK_PATH="$(find "${VENV_PATH}" -name nvjitlink -type d)/lib"
# if it's not empty, we will add it to LD_LIBRARY_PATH at the front:
if [ -n "${NVJITLINK_PATH}" ]; then
export LD_LIBRARY_PATH="${NVJITLINK_PATH}:${LD_LIBRARY_PATH}"
fi
echo $NVJITLINK_PATH
fi
export PLATFORM
PLATFORM=$(uname -s)
if [ -z "${ACCELERATE_EXTRA_ARGS}" ]; then
ACCELERATE_EXTRA_ARGS=""
fi
if [ -z "${TRAINING_NUM_PROCESSES}" ]; then
printf "TRAINING_NUM_PROCESSES not set, defaulting to 1.\n"
TRAINING_NUM_PROCESSES=1
fi
if [ -z "${TRAINING_NUM_MACHINES}" ]; then
printf "TRAINING_NUM_MACHINES not set, defaulting to 1.\n"
TRAINING_NUM_MACHINES=1
fi
if [ -z "${MIXED_PRECISION}" ]; then
printf "MIXED_PRECISION not set, defaulting to bf16.\n"
MIXED_PRECISION=bf16
fi
export PURE_BF16_ARGS=""
if ! [ -z "$PURE_BF16" ] && [[ "$PURE_BF16" == "true" ]]; then
PURE_BF16_ARGS="--adam_bfloat16"
if [[ "$MIXED_PRECISION" != "no" ]]; then
MIXED_PRECISION="bf16"
fi
fi
if [ -z "${TRAINING_SEED}" ]; then
printf "TRAINING_SEED not set, defaulting to 0.\n"
TRAINING_SEED=0
fi
if [ -z "${TRAINING_DYNAMO_BACKEND}" ]; then
printf "TRAINING_DYNAMO_BACKEND not set, defaulting to 'no'.\n"
TRAINING_DYNAMO_BACKEND=no
fi
# Check that the rest of the parameters are not blank:
if [ -z "${MODEL_NAME}" ]; then
printf "MODEL_NAME not set, exiting.\n"
exit 1
fi
export LYCORIS_CONFIG_ARG=""
if [ -n "$LYCORIS_CONFIG" ]; then
export LYCORIS_CONFIG_ARG="--lycoris_config=${LYCORIS_CONFIG}"
fi
if [ -n "$LORA_TYPE" ]; then
export LORA_TYPE_ARG="--lora_type=${LORA_TYPE}"
fi
if [ -n "$LORA_RANK" ]; then
export LORA_RANK_ARG="--lora_rank=${LORA_RANK}"
fi
if [ -n "$BASE_MODEL_PRECISION" ]; then
export BASE_MODEL_PRECISION_ARG="--base_model_precision=${BASE_MODEL_PRECISION}"
fi
if [ -z "${RESOLUTION}" ]; then
printf "RESOLUTION not set, exiting.\n"
exit 1
fi
if [ -z "${OUTPUT_DIR}" ]; then
printf "OUTPUT_DIR not set, exiting.\n"
exit 1
fi
if [ -z "${CHECKPOINTING_STEPS}" ]; then
printf "CHECKPOINTING_STEPS not set, exiting.\n"
exit 1
fi
if [ -z "${CHECKPOINTING_LIMIT}" ]; then
printf "CHECKPOINTING_LIMIT not set, exiting.\n"
exit 1
fi
if [ -z "${VALIDATION_STEPS}" ]; then
printf "VALIDATION_STEPS not set, exiting.\n"
exit 1
fi
if [ -z "${TRACKER_PROJECT_NAME}" ]; then
printf "TRACKER_PROJECT_NAME not set, exiting.\n"
exit 1
fi
if [ -z "${TRACKER_RUN_NAME}" ]; then
printf "TRACKER_RUN_NAME not set, exiting.\n"
exit 1
fi
if [ -z "${NUM_EPOCHS}" ]; then
printf "NUM_EPOCHS not set, exiting.\n"
exit 1
fi
if [ -z "${VALIDATION_PROMPT}" ]; then
printf "VALIDATION_PROMPT not set, exiting.\n"
exit 1
fi
if [ -z "${VALIDATION_GUIDANCE}" ]; then
printf "VALIDATION_GUIDANCE not set, exiting.\n"
exit 1
fi
if [ -z "${VALIDATION_GUIDANCE_REAL}" ]; then
printf "VALIDATION_GUIDANCE_REAL not set, defaulting to 1.0.\n"
export VALIDATION_GUIDANCE_REAL=1.0
fi
if [ -z "${VALIDATION_NO_CFG_UNTIL_TIMESTEP}" ]; then
printf "VALIDATION_NO_CFG_UNTIL_TIMESTEP not set, exiting.\n"
exit 1
fi
if [ -z "${VALIDATION_GUIDANCE_RESCALE}" ]; then
printf "VALIDATION_GUIDANCE_RESCALE not set, exiting.\n"
exit 1
fi
if [ -z "${VALIDATION_RESOLUTION}" ]; then
printf "VALIDATION_RESOLUTION not set, defaulting to RESOLUTION.\n"
export VALIDATION_RESOLUTION=$RESOLUTION
fi
if [ -z "${LEARNING_RATE}" ]; then
printf "LEARNING_RATE not set, exiting.\n"
exit 1
fi
if [ -z "${LR_SCHEDULE}" ]; then
printf "LR_SCHEDULE not set, exiting.\n"
exit 1
fi
export LR_END_ARG=""
if [ -n "${LR_END}" ]; then
export LR_END_ARG="--lr_end=${LR_END}"
fi
if [ -z "${TRAIN_BATCH_SIZE}" ]; then
printf "TRAIN_BATCH_SIZE not set, exiting.\n"
exit 1
fi
if [ -z "${CAPTION_DROPOUT_PROBABILITY}" ]; then
printf "CAPTION_DROPOUT_PROBABILITY not set, exiting.\n"
exit 1
fi
if [ -z "${RESUME_CHECKPOINT}" ]; then
printf "RESUME_CHECKPOINT not set, exiting.\n"
exit 1
fi
if [ -z "${DEBUG_EXTRA_ARGS}" ]; then
printf "DEBUG_EXTRA_ARGS not set, defaulting to empty.\n"
DEBUG_EXTRA_ARGS=""
fi
if [ -z "${TRAINER_EXTRA_ARGS}" ]; then
printf "TRAINER_EXTRA_ARGS not set, defaulting to empty.\n"
TRAINER_EXTRA_ARGS=""
fi
export MINIMUM_RESOLUTION_ARG=""
if [ -z "$MINIMUM_RESOLUTION" ]; then
printf "MINIMUM_RESOLUTION not set, you might have problems with upscaled images.\n"
else
export MINIMUM_RESOLUTION_ARG="--minimum_image_size=${MINIMUM_RESOLUTION}"
fi
if [ -z "$RESOLUTION_TYPE" ]; then
printf "RESOLUTION_TYPE not set, defaulting to pixel.\n"
export RESOLUTION_TYPE="pixel"
fi
if [ -z "$LR_WARMUP_STEPS" ]; then
printf "LR_WARMUP_STEPS not set, defaulting to 0.\n"
export LR_WARMUP_STEPS=0
fi
if [ -z "$VALIDATION_NEGATIVE_PROMPT" ]; then
printf "VALIDATION_NEGATIVE_PROMPT not set, defaulting to empty.\n"
export VALIDATION_NEGATIVE_PROMPT=""
fi
if [ -z "$VALIDATION_SEED" ]; then
printf "VALIDATION_SEED is unset, randomising validation seeds.\n"
export VALIDATION_ARGS="--validation_randomize"
else
export VALIDATION_ARGS="--validation_seed=${VALIDATION_SEED}"
fi
if [ -z "$VAE_BATCH_SIZE" ]; then
printf "VAE_BATCH_SIZE not set, defaulting to 1. This may slow down VAE caching.\n"
export VAE_BATCH_SIZE=1
fi
if [ -z "$METADATA_UPDATE_INTERVAL" ]; then
printf "METADATA_UPDATE_INTERVAL not set, defaulting to 120 seconds.\n"
export METADATA_UPDATE_INTERVAL=120
fi
if [ -n "$STABLE_DIFFUSION_3" ] && [[ "$STABLE_DIFFUSION_3" == "true" ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --sd3"
echo "Disabling Xformers for Stable Diffusion 3 (https://github.com/huggingface/diffusers/issues/8535)"
export XFORMERS_ARG=""
fi
if [ -n "$PIXART_SIGMA" ] && [[ "$PIXART_SIGMA" == "true" ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --pixart_sigma"
fi
if [ -n "$STABLE_DIFFUSION_LEGACY" ] && [[ "$STABLE_DIFFUSION_LEGACY" == "true" ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --legacy"
fi
if [ -n "$KOLORS" ] && [[ "$KOLORS" == "true" ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --kolors"
fi
if [ -n "$SMOLDIT" ] && [[ "$SMOLDIT" == "true" ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --smoldit"
fi
if [ -n "$FLUX" ] && [[ "$FLUX" == "true" ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --flux"
# if --flux_guidance_value is in TRAINER_EXTRA_ARGS, we will not add it again.
if [[ "${TRAINER_EXTRA_ARGS}" != *"--flux_guidance_value"* ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --flux_guidance_value=${FLUX_GUIDANCE_VALUE}"
fi
if [[ "${TRAINER_EXTRA_ARGS}" != *"--flux_lora_target"* ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --flux_lora_target=${FLUX_LORA_TARGET}"
fi
fi
if [ -z "$MAX_WORKERS" ]; then
printf "MAX_WORKERS not set, defaulting to 32.\n"
export MAX_WORKERS=32
fi
if [ -z "$READ_BATCH_SIZE" ]; then
printf "READ_BATCH_SIZE not set, defaulting to 25.\n"
export READ_BATCH_SIZE=25
fi
if [ -z "$WRITE_BATCH_SIZE" ]; then
printf "WRITE_BATCH_SIZE not set, defaulting to 64.\n"
export WRITE_BATCH_SIZE=64
fi
if [ -z "$AWS_MAX_POOL_CONNECTIONS" ]; then
printf "AWS_MAX_POOL_CONNECTIONS not set, defaulting to 128.\n"
export AWS_MAX_POOL_CONNECTIONS=128
fi
if [ -z "$TORCH_NUM_THREADS" ]; then
printf "TORCH_NUM_THREADS not set, defaulting to 8.\n"
export TORCH_NUM_THREADS=8
fi
if [ -z "$IMAGE_PROCESSING_BATCH_SIZE" ]; then
printf "IMAGE_PROCESSING_BATCH_SIZE not set, defaulting to 32.\n"
export IMAGE_PROCESSING_BATCH_SIZE=32
fi
export EMA_ARGS=""
if [ -n "$USE_EMA" ] && [[ "$USE_EMA" == "true" ]]; then
if [ -z "$EMA_DECAY" ]; then
printf "EMA_DECAY not set, defaulting to 0.9999.\n"
export EMA_DECAY=0.9999
fi
export EMA_ARGS="--use_ema --ema_decay=${EMA_DECAY}"
fi
export OPTIMIZER_ARG="--optimizer=${OPTIMIZER}"
export DELETE_ARGS=""
if ! [ -z "$DELETE_SMALL_IMAGES" ] && [ $DELETE_SMALL_IMAGES -eq 1 ]; then
export DELETE_ARGS="${DELETE_ARGS} --delete_unwanted_images"
fi
if ! [ -z "$DELETE_ERRORED_IMAGES" ] && [ $DELETE_ERRORED_IMAGES -eq 1 ]; then
export DELETE_ARGS="${DELETE_ARGS} --delete_problematic_images"
fi
if [ -z "$VALIDATION_NUM_INFERENCE_STEPS" ]; then
printf "VALIDATION_NUM_INFERENCE_STEPS not set, defaulting to 15.\n"
export VALIDATION_NUM_INFERENCE_STEPS=15
fi
if [ -z "$TRAINING_SCHEDULER_TIMESTEP_SPACING" ]; then
printf "TRAINING_SCHEDULER_TIMESTEP_SPACING not set, defaulting to 'trailing'.\n"
export TRAINING_SCHEDULER_TIMESTEP_SPACING='trailing'
fi
if [ -z "$INFERENCE_SCHEDULER_TIMESTEP_SPACING" ]; then
printf "INFERENCE_SCHEDULER_TIMESTEP_SPACING not set, defaulting to 'trailing'.\n"
export INFERENCE_SCHEDULER_TIMESTEP_SPACING='trailing'
fi
export XFORMERS_ARG="--enable_xformers_memory_efficient_attention"
if ! [ -z "$USE_XFORMERS" ] && [[ "$USE_XFORMERS" == "false" ]]; then
export XFORMERS_ARG=""
fi
if [[ "$PLATFORM" == "Darwin" ]]; then
export XFORMERS_ARG=""
export MIXED_PRECISION="no"
echo "Disabled Xformers on MacOS, as it is not yet supported."
echo "Overridden MIXED_PRECISION to 'no' for MacOS, as autocast is not supported by MPS."
fi
if [ -z "$DATALOADER_CONFIG" ]; then
printf "DATALOADER_CONFIG not set, cannot continue. See multidatabackend.json.example.\n"
exit 1
fi
if ! [ -f "$DATALOADER_CONFIG" ]; then
printf "DATALOADER_CONFIG file %s not found, cannot continue.\n" "${DATALOADER_CONFIG}"
exit 1
fi
export SNR_GAMMA_ARG=""
if [ -n "$MIN_SNR_GAMMA" ]; then
export SNR_GAMMA_ARG="--snr_gamma=${MIN_SNR_GAMMA}"
fi
export GRADIENT_ARG="--gradient_checkpointing"
if ! [ -z "$USE_GRADIENT_CHECKPOINTING" ] && [[ "$USE_GRADIENT_CHECKPOINTING" == "false" ]]; then
export GRADIENT_ARG=""
fi
if [ -z "$GRADIENT_ACCUMULATION_STEPS" ]; then
printf "GRADIENT_ACCUMULATION_STEPS not set, defaulting to 1.\n"
export GRADIENT_ACCUMULATION_STEPS=1
fi
export TF32_ARG=""
if [ -n "$ALLOW_TF32" ] && [[ "$ALLOW_TF32" == "true" ]]; then
export TF32_ARG="--allow_tf32"
fi
if [[ "$PLATFORM" == "Darwin" ]]; then
export TF32_ARG=""
fi
export DORA_ARGS=""
if [[ "$MODEL_TYPE" == "full" ]] && [[ "$USE_DORA" != "false" ]]; then
echo "Cannot use DoRA with a full u-net training task. Disabling DoRA."
elif [[ "$MODEL_TYPE" == "lora" ]] && [[ "$USE_DORA" != "false" ]]; then
echo "Enabling DoRA."
DORA_ARGS="--use_dora"
fi
export BITFIT_ARGS=""
if [[ "$USE_BITFIT" == "true" ]]; then
echo "Enabling BitFit."
BITFIT_ARGS="--layer_freeze_strategy=bitfit"
fi
# if PUSH_TO_HUB is set, ~/.cache/huggingface/token needs to exist and have a valid token.
# they can use huggingface-cli login to generate the token.
if [ -n "$PUSH_TO_HUB" ] && [[ "$PUSH_TO_HUB" == "true" ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --push_to_hub --hub_model_id=${HUB_MODEL_NAME}"
if [ -n "$PUSH_CHECKPOINTS" ] && [[ "$PUSH_CHECKPOINTS" == "true" ]]; then
export TRAINER_EXTRA_ARGS="${TRAINER_EXTRA_ARGS} --push_checkpoints_to_hub"
fi
fi
export ASPECT_BUCKET_ROUNDING_ARGS=""
if [ -n "$ASPECT_BUCKET_ROUNDING" ]; then
export ASPECT_BUCKET_ROUNDING_ARGS="--aspect_bucket_rounding=${ASPECT_BUCKET_ROUNDING}"
fi
export MAX_TRAIN_STEPS_ARGS=""
if [ -n "$MAX_NUM_STEPS" ] && [[ "$MAX_NUM_STEPS" != 0 ]]; then
export MAX_TRAIN_STEPS_ARGS="--max_train_steps=${MAX_NUM_STEPS}"
fi
export CONTROLNET_ARGS=""
if [ -n "$CONTROLNET" ] && [[ "$CONTROLNET" == "true" ]]; then
export CONTROLNET_ARGS="--controlnet"
fi
# Run the training script.
accelerate launch ${ACCELERATE_EXTRA_ARGS} --mixed_precision="${MIXED_PRECISION}" --num_processes="${TRAINING_NUM_PROCESSES}" --num_machines="${TRAINING_NUM_MACHINES}" --dynamo_backend="${TRAINING_DYNAMO_BACKEND}" train.py \
--model_type="${MODEL_TYPE}" ${DORA_ARGS} --pretrained_model_name_or_path="${MODEL_NAME}" ${XFORMERS_ARG} ${GRADIENT_ARG} --set_grads_to_none --gradient_accumulation_steps=${GRADIENT_ACCUMULATION_STEPS} \
--resume_from_checkpoint="${RESUME_CHECKPOINT}" ${DELETE_ARGS} ${SNR_GAMMA_ARG} --data_backend_config="${DATALOADER_CONFIG}" \
--num_train_epochs=${NUM_EPOCHS} ${MAX_TRAIN_STEPS_ARGS} --metadata_update_interval=${METADATA_UPDATE_INTERVAL} \
${OPTIMIZER_ARG} --learning_rate="${LEARNING_RATE}" --lr_scheduler="${LR_SCHEDULE}" --seed "${TRAINING_SEED}" --lr_warmup_steps="${LR_WARMUP_STEPS}" \
--output_dir="${OUTPUT_DIR}" ${BITFIT_ARGS} ${ASPECT_BUCKET_ROUNDING_ARGS} \
--inference_scheduler_timestep_spacing="${INFERENCE_SCHEDULER_TIMESTEP_SPACING}" --training_scheduler_timestep_spacing="${TRAINING_SCHEDULER_TIMESTEP_SPACING}" \
${DEBUG_EXTRA_ARGS} ${TF32_ARG} --mixed_precision="${MIXED_PRECISION}" ${TRAINER_EXTRA_ARGS} \
--train_batch="${TRAIN_BATCH_SIZE}" --max_workers=$MAX_WORKERS --read_batch_size=$READ_BATCH_SIZE --write_batch_size=$WRITE_BATCH_SIZE --caption_dropout_probability=${CAPTION_DROPOUT_PROBABILITY} \
--torch_num_threads=${TORCH_NUM_THREADS} --image_processing_batch_size=${IMAGE_PROCESSING_BATCH_SIZE} --vae_batch_size=$VAE_BATCH_SIZE \
--validation_prompt="${VALIDATION_PROMPT}" --num_validation_images=1 --validation_num_inference_steps="${VALIDATION_NUM_INFERENCE_STEPS}" ${VALIDATION_ARGS} \
${MINIMUM_RESOLUTION_ARG} --resolution="${RESOLUTION}" --validation_resolution="${VALIDATION_RESOLUTION}" \
--resolution_type="${RESOLUTION_TYPE}" ${LYCORIS_CONFIG_ARG} ${LORA_TYPE_ARG} ${LORA_RANK_ARG} ${BASE_MODEL_PRECISION_ARG} ${LR_END_ARG} \
--checkpointing_steps="${CHECKPOINTING_STEPS}" --checkpoints_total_limit="${CHECKPOINTING_LIMIT}" \
--validation_steps="${VALIDATION_STEPS}" --tracker_run_name="${TRACKER_RUN_NAME}" --tracker_project_name="${TRACKER_PROJECT_NAME}" \
--validation_guidance="${VALIDATION_GUIDANCE}" --validation_guidance_real="${VALIDATION_GUIDANCE_REAL}" --validation_guidance_rescale="${VALIDATION_GUIDANCE_RESCALE}" --validation_negative_prompt="${VALIDATION_NEGATIVE_PROMPT}" ${EMA_ARGS} ${CONTROLNET_ARGS}
exit 0