dataset/dataset_example.toml

# resolution, caption_extension, target_frames, frame_extraction, frame_stride, frame_sample, 
# batch_size, num_repeats, enable_bucket, bucket_no_upscale should be set in either general or datasets


# general configurations
[general]
caption_extension = ".txt"
batch_size = 1
enable_bucket = true
bucket_no_upscale = false


# dataset configurations
[[datasets]]
resolution = [160, 160]
video_directory = "D:/musubi-tuner-wan-gui/dataset/My_Best_Lora_dataset/video"  # path to your video dataset
cache_directory = "D:/musubi-tuner-wan-gui/dataset/My_Best_Lora_dataset/cache/video" # recommended to set cache directory
target_frames = [17, 33, 65]
frame_extraction = "chunk"
num_repeats = 1

# head: Extract the first N frames from the video.
# chunk: Extract frames by splitting the video into chunks of N frames.
# slide: Extract frames from the video with a stride of frame_stride.
# uniform: Extract frame_sample samples uniformly from the video.
# NOTE: Please do not include 1 in target_frames if you are using the frame_extraction "chunk". It will make the all frames to be extracted.

# More info here: https://github.com/Kvento/musubi-tuner-wan-gui/blob/main/dataset/dataset_config.md







# other datasets can be added here. each dataset can have different configurations

# If you don't need image training, remove this code:
# dataset configurations
[[datasets]]
resolution = [256, 256]
image_directory = "D:/musubi-tuner-wan-gui/dataset/My_Best_Lora_dataset/images" # path to your image dataset
cache_directory = "D:/musubi-tuner-wan-gui/dataset/My_Best_Lora_dataset/cache/images" # recommended to set cache directory
num_repeats = 1