| pretrained_model_path: CompVis/stable-diffusion-v1-4 | |
| output_dir: /content/Tune-A-Video/outputs/city | |
| train_data: | |
| video_path: /content/Tune-A-Video/data/city.mp4 | |
| prompt: A 360 degree view video of a street with Skies, Walls, Roads, Poles, Buildings, | |
| Riders, Sidewalks, People, Traffic signs, Bicycles and Cars | |
| n_sample_frames: 24 | |
| width: 512 | |
| height: 512 | |
| sample_start_idx: 0 | |
| sample_frame_rate: 1 | |
| validation_data: | |
| prompts: | |
| - A 360 degree view video of a street with Skies, Walls, Roads, Poles, Buildings, | |
| Riders, Sidewalks, People, Traffic signs, Bicycles and Cars | |
| video_length: 24 | |
| width: 512 | |
| height: 512 | |
| num_inference_steps: 50 | |
| guidance_scale: 12.5 | |
| use_inv_latent: true | |
| num_inv_steps: 50 | |
| validation_steps: 1 | |
| trainable_modules: | |
| - attn1.to_q | |
| - attn2.to_q | |
| - attn_temp | |
| train_batch_size: 1 | |
| max_train_steps: 5 | |
| learning_rate: 3.0e-05 | |
| scale_lr: false | |
| lr_scheduler: constant | |
| lr_warmup_steps: 0 | |
| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| adam_weight_decay: 0.01 | |
| adam_epsilon: 1.0e-08 | |
| max_grad_norm: 1.0 | |
| gradient_accumulation_steps: 1 | |
| gradient_checkpointing: true | |
| checkpointing_steps: 5 | |
| resume_from_checkpoint: null | |
| mixed_precision: fp16 | |
| use_8bit_adam: false | |
| enable_xformers_memory_efficient_attention: true | |
| seed: 33 | |