StableSigner / One-to-All-Animation /video-generation /training_scripts /train14b_posecontrol_prefix_2d_tokenreplace.sh

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#!/bin/bash
export PYTHONPATH=$PYTHONPATH:$PWD
export NCCL_TIMEOUT=3600000

OUTPUT_DIR="outputs_wanx14b/train14b_posecontrol_prefix_2d_tokenreplace"
mkdir -p ${OUTPUT_DIR}

LOG_FILE="${OUTPUT_DIR}/train14b_posecontrol_prefix_2d_tokenreplace.log"

echo "=========================================="
echo "  Training Wan2.1-14B with Pose Control & Token Replace"
echo "=========================================="
echo "Output directory: ${OUTPUT_DIR}"
echo "Log file: ${LOG_FILE}"
echo ""

# Classifier-Free Guidance
# cfg 1.0 -> dropout text condition during training (text="")
# pose_cfg 0.1 -> 10% probability dropout pose control and reference image (black image)
# refimg_cfg 0.1 -> 10% probability dropout reference image (black image)
# refimg_crop 0.3 -> 30% probability mask reference image
# zoomin 0.1 -> 10% probability zoom in
# bucket_name 768_v2 -> Training with 768 resolution (20% 512 / 80% 768 see opensora/utils/bucket.py)
# change_pose 0.7 70% face region enhancement
# ref_keep -> dropout pose control and keep reference
# token_replace_prob
accelerate launch \
      --config_file scripts/accelerate_configs/hk_multinode_config.yaml \
      --num_processes 8 \
      --num_machines 1 \
      opensora/train/wanx_train/train_wanx_refextractor_mask2_controlnet2.py \
      --seed 43 \
      --output_dir="${OUTPUT_DIR}" \
      --checkpointing_steps=1000 \
      --checkpoints_total_limit 2 \
      --report_to tensorboard \
      --num_train_epochs 100 \
      --gradient_accumulation_steps=1 \
      --allow_tf32 \
      --mixed_precision="bf16" \
      --optimizer adam \
      --adam_beta1 0.9 \
      --adam_beta2 0.95 \
      --adam_weight_decay 1e-4 \
      --learning_rate=1e-5 \
      --lr_scheduler="constant_with_warmup" \
      --lr_warmup_steps=5000 \
      --max_grad_norm 1.0 \
      --diffusion_formula FlowMatching \
      --load_condition \
      --dataloader_num_workers 4 \
      --dataset bodydance_3 \
      --data "../datasets/opensource_dataset/combined_imgvid_dataset.csv" \
      --bucket_name 768_v2 \
      --cfg 1.0 \
      --pose_cfg 0.1 \
      --refimg_cfg 0.1 \
      --refimg_crop 0.3 \
      --zoomin 0.1 \
      --change_pose 0.5 \
      --ref_keep 0.3 \
      --one_more_second \
      --train_fps 16 \
      --ema_start_step 0 \
      --ema_decay 0.999 \
      --evaluation_steps 5 \
      --evaluation_every 1000 \
      --valid_data "../datasets/opensource_dataset/combined_imgvid_dataset.csv"  \
      --max_num_evaluate_samples 10 \
      --dit_name wanx_refextractor_2d_controlnet_prefix \
      --config_path configs/wan2.1_t2v_14b.json \
      --text_encoder_name wanx-t2v \
      --text_encoder_path ../pretrained_models/Wan2.1-T2V-14B-Diffusers/ \
      --vae_name wanx \
      --vae_path ../pretrained_models/Wan2.1-T2V-14B-Diffusers/vae/ \
      --refextractor_config_path configs/wan2.1_t2v_14b_refextractor_2d_withmask2.json \
      --controlnet_config_path configs/wan2.1_t2v_14b_controlnet_1.json \
      --load_encoders \
      --task t2v \
      --face_mask \
      --hand_mask \
      --face_weight 1.0 \
      --gradient_checkpointing \
      --training_modules attn1 patch_embedding input_hint_block controlnet image_to_cond \
      --resume_from_checkpoint="latest" \
      --pretrained ./outputs_wanx14b/train14b_posecontrol_prefix_2d/checkpoint-xxx/fp32_model_xxx \
      --pose_poolA ../datasets/opensource_pose_pool/images_pose_pool_24_18pt_abs.csv \
      --pose_poolB ../datasets/opensource_pose_pool/images_pose_pool_18_16pt_abs.csv \
      --init_from_transformer \
      --token_replace_prob 0.2 \
    2>&1 | tee -a "${LOG_FILE}"

	#!/bin/bash
	export PYTHONPATH=$PYTHONPATH:$PWD
	export NCCL_TIMEOUT=3600000

	OUTPUT_DIR="outputs_wanx14b/train14b_posecontrol_prefix_2d_tokenreplace"
	mkdir -p ${OUTPUT_DIR}

	LOG_FILE="${OUTPUT_DIR}/train14b_posecontrol_prefix_2d_tokenreplace.log"

	echo "=========================================="
	echo " Training Wan2.1-14B with Pose Control & Token Replace"
	echo "=========================================="
	echo "Output directory: ${OUTPUT_DIR}"
	echo "Log file: ${LOG_FILE}"
	echo ""

	# Classifier-Free Guidance
	# cfg 1.0 -> dropout text condition during training (text="")
	# pose_cfg 0.1 -> 10% probability dropout pose control and reference image (black image)
	# refimg_cfg 0.1 -> 10% probability dropout reference image (black image)
	# refimg_crop 0.3 -> 30% probability mask reference image
	# zoomin 0.1 -> 10% probability zoom in
	# bucket_name 768_v2 -> Training with 768 resolution (20% 512 / 80% 768 see opensora/utils/bucket.py)
	# change_pose 0.7 70% face region enhancement
	# ref_keep -> dropout pose control and keep reference
	# token_replace_prob
	accelerate launch \
	--config_file scripts/accelerate_configs/hk_multinode_config.yaml \
	--num_processes 8 \
	--num_machines 1 \
	opensora/train/wanx_train/train_wanx_refextractor_mask2_controlnet2.py \
	--seed 43 \
	--output_dir="${OUTPUT_DIR}" \
	--checkpointing_steps=1000 \
	--checkpoints_total_limit 2 \
	--report_to tensorboard \
	--num_train_epochs 100 \
	--gradient_accumulation_steps=1 \
	--allow_tf32 \
	--mixed_precision="bf16" \
	--optimizer adam \
	--adam_beta1 0.9 \
	--adam_beta2 0.95 \
	--adam_weight_decay 1e-4 \
	--learning_rate=1e-5 \
	--lr_scheduler="constant_with_warmup" \
	--lr_warmup_steps=5000 \
	--max_grad_norm 1.0 \
	--diffusion_formula FlowMatching \
	--load_condition \
	--dataloader_num_workers 4 \
	--dataset bodydance_3 \
	--data "../datasets/opensource_dataset/combined_imgvid_dataset.csv" \
	--bucket_name 768_v2 \
	--cfg 1.0 \
	--pose_cfg 0.1 \
	--refimg_cfg 0.1 \
	--refimg_crop 0.3 \
	--zoomin 0.1 \
	--change_pose 0.5 \
	--ref_keep 0.3 \
	--one_more_second \
	--train_fps 16 \
	--ema_start_step 0 \
	--ema_decay 0.999 \
	--evaluation_steps 5 \
	--evaluation_every 1000 \
	--valid_data "../datasets/opensource_dataset/combined_imgvid_dataset.csv" \
	--max_num_evaluate_samples 10 \
	--dit_name wanx_refextractor_2d_controlnet_prefix \
	--config_path configs/wan2.1_t2v_14b.json \
	--text_encoder_name wanx-t2v \
	--text_encoder_path ../pretrained_models/Wan2.1-T2V-14B-Diffusers/ \
	--vae_name wanx \
	--vae_path ../pretrained_models/Wan2.1-T2V-14B-Diffusers/vae/ \
	--refextractor_config_path configs/wan2.1_t2v_14b_refextractor_2d_withmask2.json \
	--controlnet_config_path configs/wan2.1_t2v_14b_controlnet_1.json \
	--load_encoders \
	--task t2v \
	--face_mask \
	--hand_mask \
	--face_weight 1.0 \
	--gradient_checkpointing \
	--training_modules attn1 patch_embedding input_hint_block controlnet image_to_cond \
	--resume_from_checkpoint="latest" \
	--pretrained ./outputs_wanx14b/train14b_posecontrol_prefix_2d/checkpoint-xxx/fp32_model_xxx \
	--pose_poolA ../datasets/opensource_pose_pool/images_pose_pool_24_18pt_abs.csv \
	--pose_poolB ../datasets/opensource_pose_pool/images_pose_pool_18_16pt_abs.csv \
	--init_from_transformer \
	--token_replace_prob 0.2 \
	2>&1 \| tee -a "${LOG_FILE}"