ModelZoo-PyTorch/PyTorch/built-in/mm/OpenSora-master/eval/sample.sh-代码预览-ModelZoo-PyTorch:基于昇腾生态的AI模型平台项目 - AtomGit

Ii-robot!6719 [built-in][Pytorch] 调整多模态模型存放目录
cf2aeb79创建于 2024年9月6日历史提交
# !/bin/bash

CKPT=$1
NUM_FRAMES=$2
MODEL_NAME=$3

VBENCH_START_INDEX=$5
VBENCH_END_INDEX=$6
VBENCH_RES=$7
VBENCH_ASP_RATIO=$8

echo "NUM_FRAMES=${NUM_FRAMES}"

if [ -z "${NUM_FRAMES}" ]; then
  echo "you need to pass NUM_FRAMES"
else
  let DOUBLE_FRAMES=$2*2
  let QUAD_FRAMES=$2*4
  let OCT_FRAMES=$2*8
fi

echo "DOUBLE_FRAMES=${DOUBLE_FRAMES}"
echo "QUAD_FRAMES=${QUAD_FRAMES}"
echo "OCT_FRAMES=${OCT_FRAMES}"

CMD="python scripts/inference.py configs/opensora-v1-2/inference/sample.py"
if [[ $CKPT == *"ema"* ]]; then
  parentdir=$(dirname $CKPT)
  CKPT_BASE=$(basename $parentdir)_ema
else
  CKPT_BASE=$(basename $CKPT)
fi
OUTPUT="/mnt/jfs-hdd/sora/samples/samples_${MODEL_NAME}_${CKPT_BASE}"
start=$(date +%s)
DEFAULT_BS=1

### Functions

# called inside run_video_b
function run_image() { # 14min
  # 1.1 1024x1024
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2i_samples.txt --save-dir $OUTPUT --num-frames 1 --resolution 1024 --aspect_ratio 1:1 --sample-name image_1024_1_1 --batch-size $DEFAULT_BS

  # 1.2 240x426
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2i_samples.txt --save-dir $OUTPUT --num-frames 1 --resolution 240p --aspect-ratio 9:16 --sample-name image_240p_9_16 --end-index 3 --batch-size $DEFAULT_BS

  # 1.3 512x512
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2i_samples.txt --save-dir $OUTPUT --num-frames 1 --resolution 512 --aspect-ratio 1:1 --sample-name image_t2i_512_1_1 --end-index 3 --batch-size $DEFAULT_BS
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 1 --resolution 512 --aspect-ratio 1:1 --sample-name image_t2v_512_1_1 --end-index 3 --batch-size $DEFAULT_BS
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_short.txt --save-dir $OUTPUT --num-frames 1 --resolution 512 --aspect-ratio 1:1 --sample-name image_short_512_1_1 --end-index 3 --batch-size $DEFAULT_BS
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 1 --resolution 512 --aspect-ratio 1:1 --sample-name image_sora_512_1_1 --end-index 3 --batch-size $DEFAULT_BS

  # 1.4 720p multi-resolution
  # 1:1
  PROMPT="Bright scene, aerial view,ancient city, fantasy, gorgeous light, mirror reflection, high detail, wide angle lens."
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 1 --resolution 720p --aspect-ratio 1:1 --sample-name image_720p_1_1
  # 9:16
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 1 --resolution 720p --aspect-ratio 9:16 --sample-name image_720p_9_16
  # 16:9
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 1 --resolution 720p --aspect-ratio 16:9 --sample-name image_720p_16_9
  # 4:3
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 1 --resolution 720p --aspect-ratio 4:3 --sample-name image_720p_4_3
  # 3:4
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 1 --resolution 720p --aspect-ratio 3:4 --sample-name image_720p_3_4
  # 1:2
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 1 --resolution 720p --aspect-ratio 1:2 --sample-name image_720p_1_2
  # 2:1
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 1 --resolution 720p --aspect-ratio 2:1 --sample-name image_720p_2_1
}

# for (sample, short, sora)
#   for ( (4s, 720p), (8s, 480p), (16s, 360p) )

function run_video_a() { # ~ 30min ?
  ### previous cmds  # 42min, sample & multi-resolution
  # # sample, 144p, 9:16, 2s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 2s --resolution 144p --aspect-ratio 9:16 --sample-name sample_2s_144p_9_16 --batch-size $DEFAULT_BS
  # # sample, 240p, 9:16, 2s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 2s --resolution 240p --aspect-ratio 9:16 --sample-name sample_2s_240p_9_16 --batch-size $DEFAULT_BS
  # # sample, 240p, 9:16, 4s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 4s --resolution 240p --aspect-ratio 9:16 --sample-name sample_4s_240p_9_16 --batch-size $DEFAULT_BS
  # # sample, 240p, 9:16, 8s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 8s --resolution 240p --aspect-ratio 9:16 --sample-name sample_8s_240p_9_16 --batch-size $DEFAULT_BS
  # # sample, 480p, 9:16, 2s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 2s --resolution 480p --aspect-ratio 9:16 --sample-name sample_2s_480p_9_16 --batch-size $DEFAULT_BS
  # # sample, 480p, 9:16, 4s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 4s --resolution 480p --aspect-ratio 9:16 --sample-name sample_4s_480p_9_16 --batch-size $DEFAULT_BS
  # # sample, 720p, 9:16, 2s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 2s --resolution 720p --aspect-ratio 9:16 --sample-name sample_2s_720p_9_16 --batch-size $DEFAULT_BS

  # sample, 720p, 9:16, 2s
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 4s --resolution 720p --aspect-ratio 9:16 --sample-name sample_4s_720p --batch-size $DEFAULT_BS

  # sample, 480p, 9:16, 8s
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 8s --resolution 480p --aspect-ratio 9:16 --sample-name sample_8s_480p --batch-size $DEFAULT_BS

  # sample, 240p, 9:16, 16s
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_samples.txt --save-dir $OUTPUT --num-frames 16s --resolution 360p --aspect-ratio 9:16 --sample-name sample_16s_360p --batch-size $DEFAULT_BS
}

function run_video_b() { # 18min + 14min = 32min, short 16x240p & 64x240p
  # run image, 14min
  echo "Inside run_video_b, running image samples..."
  run_image

  echo "Inside run_video_b, running video samples..."

  ### previous cmds, 18min
  # # short, 240p, 9:16, 4s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_short.txt --save-dir $OUTPUT --num-frames 4s --resolution 240p --aspect-ratio 9:16 --sample-name short_4s_240p_9_16 --batch-size $DEFAULT_BS
  # # short, 240p, 9:16, 8s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_short.txt --save-dir $OUTPUT --num-frames 8s --resolution 240p --aspect-ratio 9:16 --sample-name short_8s_240p_9_16 --batch-size $DEFAULT_BS

  # short, 480p, 9:16, 8s: ~24min
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_short.txt --save-dir $OUTPUT --num-frames 8s --resolution 480p --aspect-ratio 9:16 --sample-name short_8s_480p --batch-size $DEFAULT_BS

  # short, 240p, 9:16, 16s: ~24min
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_short.txt --save-dir $OUTPUT --num-frames 16s --resolution 360p --aspect-ratio 9:16 --sample-name short_16s_360p --batch-size $DEFAULT_BS

}

function run_video_c() {
  ### previous cmds, 60min
  # # sora, 240p, 16:9, 2s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 2s --resolution 240p --aspect-ratio 16:9 --sample-name sora_2s_240p_16_9 --batch-size $DEFAULT_BS
  # # sora, 240p, 9:16, 2s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 2s --resolution 240p --aspect-ratio 9:16 --sample-name sora_2s_240p_9_16 --batch-size $DEFAULT_BS
  # # sora, 240p, 9:16, 16s
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 16s --resolution 240p --aspect-ratio 9:16 --sample-name sora_16s_240p_9_16 --batch-size $DEFAULT_BS

  # short, 720p, 9:16, 2s: ~9min
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_short.txt --save-dir $OUTPUT --num-frames 4s --resolution 720p --aspect-ratio 9:16 --sample-name short_4s_720p --batch-size $DEFAULT_BS

  # sora, 240p, 9:16, 16s: ~40min
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 16s --resolution 360p --aspect-ratio 9:16 --sample-name sora_16s_360p --batch-size $DEFAULT_BS
}

function run_video_d() {
  ### previous cmds, 21min + 30min = 51min
  # # short, 480p, 9:16, 4s: 21min
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_short.txt --save-dir $OUTPUT --num-frames 4s --resolution 480p --aspect-ratio 9:16 --sample-name short_4s_480p_9_16 --batch-size $DEFAULT_BS
  # # sora, 480p, 9:16, 8s, 1/3 # moved from run_video_e, 30min
  # eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 8s --resolution 480p --aspect-ratio 9:16 --sample-name sora_8s_480p_9_16 --batch-size $DEFAULT_BS --start-index 0 --end-index 16

  # sora, 480p, 9:16, 8s, 1/3 # moved from run_video_e, 30min
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 8s --resolution 480p --aspect-ratio 9:16 --sample-name sora_8s_480p --batch-size $DEFAULT_BS --start-index 0 --end-index 16
}

function run_video_e() { # 90min * 2/3 = 60min
  # sora, 480p, 9:16, 8s, 2/3
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 8s --resolution 480p --aspect-ratio 9:16 --sample-name sora_8s_480p --batch-size $DEFAULT_BS --start-index 16 --end-index 100
}

function run_video_f() { # 60min
  # sora, 720p, 9:16, 2s
  eval $CMD --ckpt-path $CKPT --prompt-path assets/texts/t2v_sora.txt --save-dir $OUTPUT --num-frames 4s --resolution 720p --aspect-ratio 9:16 --sample-name sora_4s_720p --batch-size $DEFAULT_BS
}

# --resolution 720p --aspect-ratio [16:9, 9:16, ...]

function run_video_g() { # 15min
  # 720p, 2s multi-resolution
  # 1:1
  PROMPT="A soaring drone footage captures the majestic beauty of a coastal cliff, its red and yellow stratified rock faces rich in color and against the vibrant turquoise of the sea. Seabirds can be seen taking flight around the cliff's precipices. As the drone slowly moves from different angles, the changing sunlight casts shifting shadows that highlight the rugged textures of the cliff and the surrounding calm sea. The water gently laps at the rock base and the greenery that clings to the top of the cliff, and the scene gives a sense of peaceful isolation at the fringes of the ocean. The video captures the essence of pristine natural beauty untouched by human structures."
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 2s --resolution 720p --aspect-ratio 1:1 --sample-name drone_cliff_prompt_720p_2s_1_1
  # 16:9
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 2s --resolution 720p --aspect-ratio 16:9 --sample-name drone_cliff_prompt_720p_2s_16_9
  # 9:16
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 2s --resolution 720p --aspect-ratio 9:16 --sample-name drone_cliff_prompt_720p_2s_9_16
  # 4:3
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 2s --resolution 720p --aspect-ratio 4:3 --sample-name drone_cliff_prompt_720p_2s_4_3
  # 3:4
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 2s --resolution 720p --aspect-ratio 3:4 --sample-name drone_cliff_prompt_720p_2s_3_4
  # 1:2
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 2s --resolution 720p --aspect-ratio 1:2 --sample-name drone_cliff_prompt_720p_2s_1_2
  # 2:1
  eval $CMD --ckpt-path $CKPT --prompt \"$PROMPT\" --save-dir $OUTPUT --num-frames 2s --resolution 720p --aspect-ratio 2:1 --sample-name drone_cliff_prompt_720p_2s_2_1

  # add motion score
  eval $CMD --ckpt-path $CKPT --save-dir $OUTPUT --num-frames 2s --resolution 720p --sample-name motion_2s_720p --prompt \
    \"A stylish woman walking in the street of Tokyo.\" \"A stylish woman walking in the street of Tokyo. motion score: 0.0\" \
    \"A stylish woman walking in the street of Tokyo. motion score: 2.0\" \
    \"A stylish woman walking in the street of Tokyo. motion score: 4.0\" \
    \"A stylish woman walking in the street of Tokyo. motion score: 6.0\" \
    \"A stylish woman walking in the street of Tokyo. motion score: 10.0\" \
    \"A stylish woman walking in the street of Tokyo. motion score: 25.0\" \
    \"A stylish woman walking in the street of Tokyo. motion score: 50.0\" \
    \"A stylish woman walking in the street of Tokyo. motion score: 100.0\"

  # add aes score
  eval $CMD --ckpt-path $CKPT --save-dir $OUTPUT --num-frames 2s --resolution 720p --sample-name aes_2s_720p --prompt \
    \"A stylish woman walking in the street of Tokyo.\" \"A stylish woman walking in the street of Tokyo. aesthetic score: 4.0\" \
    \"A stylish woman walking in the street of Tokyo. aesthetic score: 4.5\" \
    \"A stylish woman walking in the street of Tokyo. aesthetic score: 5.0\" \
    \"A stylish woman walking in the street of Tokyo. aesthetic score: 5.5\" \
    \"A stylish woman walking in the street of Tokyo. aesthetic score: 6.0\" \
    \"A stylish woman walking in the street of Tokyo. aesthetic score: 6.5\" \
    \"A stylish woman walking in the street of Tokyo. aesthetic score: 7.0\"
}

# resolution -> 480p

function run_video_h() { # 61min
  # 3.1 image-conditioned long video generation
  eval $CMD --ckpt-path $CKPT --save-dir $OUTPUT --sample-name ref_L5C5_2s_360p_9_16 \
    --prompt-path assets/texts/t2v_ref.txt --start-index 0 --end-index 3 \
    --num-frames 2s --resolution 360p --aspect-ratio 9:16 \
    --loop 5 --condition-frame-length 5 \
    --reference-path assets/images/condition/cliff.png assets/images/condition/wave.png assets/images/condition/ship.png \
    --mask-strategy "0" "0" "0" --batch-size $DEFAULT_BS

  eval $CMD --ckpt-path $CKPT --save-dir $OUTPUT --sample-name ref_L5C10_16s_360p_9_16 \
    --prompt-path assets/texts/t2v_ref.txt --start-index 0 --end-index 3 \
    --num-frames 16s --resolution 360p --aspect-ratio 9:16 \
    --loop 5 --condition-frame-length 10 \
    --reference-path assets/images/condition/cliff.png assets/images/condition/wave.png assets/images/condition/ship.png \
    --mask-strategy "0" "0" "0" --batch-size $DEFAULT_BS

  # 3.2
  eval $CMD --ckpt-path $CKPT --save-dir $OUTPUT --sample-name ref_L1_16s_240p_9_16 \
    --prompt-path assets/texts/t2v_ref.txt --start-index 3 --end-index 6 \
    --num-frames 16s --resolution 360p --aspect-ratio 9:16 \
    --loop 1 \
    --reference-path assets/images/condition/cliff.png "assets/images/condition/cactus-sad.png\;assets/images/condition/cactus-happy.png" https://cdn.openai.com/tmp/s/interp/d0.mp4 \
    --mask-strategy "0" "0\;0,1,0,-1,1" "0,0,0,0,${QUAD_FRAMES},0.5" --batch-size $DEFAULT_BS
}

# vbench has 950 samples

VBENCH_BS=1 # 80GB
VBENCH_H=240
VBENCH_W=426

function run_vbench() {
  if [ -z ${VBENCH_RES} ] || [ -z ${VBENCH_ASP_RATIO} ]; then
    eval $CMD --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench --prompt-as-path --num-sample 5 \
      --prompt-path assets/texts/VBench/all_dimension.txt \
      --image-size $VBENCH_H $VBENCH_W \
      --batch-size $VBENCH_BS --num-frames $NUM_FRAMES --start-index $1 --end-index $2
  else
    eval $CMD --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench --prompt-as-path --num-sample 5 \
      --prompt-path assets/texts/VBench/all_dimension.txt \
      --resolution $VBENCH_RES --aspect-ratio $VBENCH_ASP_RATIO \
      --batch-size $VBENCH_BS --num-frames $NUM_FRAMES --start-index $1 --end-index $2
  fi
}

# vbench-i2v has 1120 samples

VBENCH_I2V_H=256
VBENCH_I2V_W=256

function run_vbench_i2v() {
  if [ -z ${VBENCH_RES} ] || [ -z ${VBENCH_ASP_RATIO} ]; then
    eval $CMD --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \
      --prompt-path assets/texts/VBench/all_i2v.txt \
      --image-size $VBENCH_I2V_H $VBENCH_I2V_W \
      --start-index $1 --end-index $2 \
      --num-frames $NUM_FRAMES --batch-size $VBENCH_BS
  else
    eval $CMD --ckpt-path $CKPT --save-dir ${OUTPUT}_vbench_i2v --prompt-as-path --num-sample 5 \
      --prompt-path assets/texts/VBench/all_i2v.txt \
      --resolution $VBENCH_RES --aspect-ratio $VBENCH_ASP_RATIO \
      --start-index $1 --end-index $2 \
      --num-frames $NUM_FRAMES --batch-size $VBENCH_BS
  fi

}

### Main

for arg in "$@"; do
  # image
  if [[ "$arg" = -1 ]] || [[ "$arg" = --image ]]; then
    echo "Running image samples..."
    run_image
  fi
  if [[ "$arg" = -2a ]] || [[ "$arg" = --video ]]; then
    echo "Running video samples a..."
    run_video_a
  fi
  if [[ "$arg" = -2b ]] || [[ "$arg" = --video ]]; then
    echo "Running video samples b..."
    run_video_b
  fi
  if [[ "$arg" = -2c ]] || [[ "$arg" = --video ]]; then
    echo "Running video samples c..."
    run_video_c
  fi
  if [[ "$arg" = -2d ]] || [[ "$arg" = --video ]]; then
    echo "Running video samples d..."
    run_video_d
  fi
  if [[ "$arg" = -2e ]] || [[ "$arg" = --video ]]; then
    echo "Running video samples e..."
    run_video_e
  fi
  if [[ "$arg" = -2f ]] || [[ "$arg" = --video ]]; then
    echo "Running video samples f..."
    run_video_f
  fi
  if [[ "$arg" = -2g ]] || [[ "$arg" = --video ]]; then
    echo "Running video samples g..."
    run_video_g
  fi
  if [[ "$arg" = -2h ]] || [[ "$arg" = --video ]]; then
    echo "Running video samples h..."
    run_video_h
  fi
  # vbench
  if [[ "$arg" = -4 ]] || [[ "$arg" = --vbench ]]; then
    echo "Running vbench samples ..."
    if [ -z ${VBENCH_START_INDEX} ] || [ -z ${VBENCH_END_INDEX} ]; then
      echo "need to set start_index and end_index"
    else
      run_vbench $VBENCH_START_INDEX $VBENCH_END_INDEX
    fi
  fi
  # vbench-i2v
  if [[ "$arg" = -5 ]] || [[ "$arg" = --vbench-i2v ]]; then
    echo "Running vbench-i2v samples ..."
    if [ -z ${VBENCH_START_INDEX} ] || [ -z ${VBENCH_END_INDEX} ]; then
      echo "need to set start_index and end_index"
    else
      run_vbench_i2v $VBENCH_START_INDEX $VBENCH_END_INDEX
    fi
  fi
done

### End

end=$(date +%s)

runtime=$((end - start))

echo "Runtime: $runtime seconds"