product-ads / config.yaml
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pretrained_model_path: checkpoints/CompVis/stable-diffusion-v1-4
output_dir: /home/user/app/experiments/product-ads
train_data:
video_path: /tmp/gradio/e14d86daa040bee397ec527f496bcf79f217d00e/Tom Ford - Fougere
DArgent Spec Ad 1.mp3
prompt: A bottle doing a series of translations
n_sample_frames: 8
width: 512
height: 512
sample_start_idx: 0
sample_frame_rate: 1
validation_data:
prompts:
- A bottle doing a series of translations
video_length: 8
width: 512
height: 512
num_inference_steps: 50
guidance_scale: 7.5
validation_steps: 100
trainable_modules:
- attn1.to_q
- attn2.to_q
- attn_temp
train_batch_size: 1
max_train_steps: 300
learning_rate: 3.5e-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: 1000
resume_from_checkpoint: null
mixed_precision: fp16
use_8bit_adam: false
enable_xformers_memory_efficient_attention: true
seed: 87217