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image_finetune: true | |
output_dir: "outputs" | |
pretrained_model_path: "models/StableDiffusion/stable-diffusion-v1-5" | |
noise_scheduler_kwargs: | |
num_train_timesteps: 1000 | |
beta_start: 0.00085 | |
beta_end: 0.012 | |
beta_schedule: "scaled_linear" | |
steps_offset: 1 | |
clip_sample: false | |
train_data: | |
csv_path: "/mnt/petrelfs/guoyuwei/projects/datasets/webvid/results_2M_val.csv" | |
video_folder: "/mnt/petrelfs/guoyuwei/projects/datasets/webvid/2M_val" | |
sample_size: 256 | |
validation_data: | |
prompts: | |
- "Snow rocky mountains peaks canyon. Snow blanketed rocky mountains surround and shadow deep canyons." | |
- "A drone view of celebration with Christma tree and fireworks, starry sky - background." | |
- "Robot dancing in times square." | |
- "Pacific coast, carmel by the sea ocean and waves." | |
num_inference_steps: 25 | |
guidance_scale: 8. | |
trainable_modules: | |
- "." | |
unet_checkpoint_path: "" | |
learning_rate: 1.e-5 | |
train_batch_size: 50 | |
max_train_epoch: -1 | |
max_train_steps: 100 | |
checkpointing_epochs: -1 | |
checkpointing_steps: 60 | |
validation_steps: 5000 | |
validation_steps_tuple: [2, 50] | |
global_seed: 42 | |
mixed_precision_training: true | |
enable_xformers_memory_efficient_attention: True | |
is_debug: False | |