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config.yaml
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config.yaml
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model:
type: unet
pretrained_model_path: cerspense/zeroscope_v2_576w
motion_embeddings:
module:
- down
- up
dim:
- 1280
- 640
train:
output_dir: ./outputs/
validation_steps: 50
checkpointing_steps: 50
train_batch_size: 1
max_train_steps: 200
gradient_accumulation_steps: 1
cache_latents: true
cached_latent_dir: null
logger_type: tensorboard
mixed_precision: fp16
use_8bit_adam: false
resume_from_checkpoint: null
resume_step: null
dataset:
type:
- single_video
single_video_path: ./assets/car-roundabout-24.mp4
single_video_prompt: ''
width: 576
height: 320
n_sample_frames: 24
fps: 8
sample_start_idx: 1
frame_step: 1
use_bucketing: false
use_caption: false
loss:
type: DebiasedTemporalLoss
learning_rate: 0.05
lr_scheduler: constant
lr_warmup_steps: 0
noise_init:
type: BlendInit
noise_prior: 0.5
val:
prompt:
- "A skateboard slides along a city lane"
negative_prompt: ""
sample_preview: true
width: 576
height: 320
num_frames: 24
num_inference_steps: 30
guidance_scale: 12.0
seeds: [42]