wandb:
  entity: null
#  run_id: askkz9i2
  resume: 'auto'

experiment:
    project: "demo"
    name: "show-o-demo"
    output_dir: "show-o-demo"

model:
    vq_model:
        type: "magvitv2"
        vq_model_name: "showlab/magvitv2"

    showo:
        pretrained_model_path: "showlab/show-o"
        w_clip_vit: False
        vocab_size: 58498
        llm_vocab_size: 50295
        llm_model_path: 'microsoft/phi-1_5'
        codebook_size: 8192
        num_vq_tokens: 256

    gradient_checkpointing: True
    enable_xformers_memory_efficient_attention: True


dataset:
    gen_type: "t2i"
    und_type: "large_cap"
    params:
        batch_size: ${training.batch_size}
        shuffle_buffer_size: 1000
        num_workers: 32
        resolution: 256
        pin_memory: True
        persistent_workers: True

    preprocessing:
        max_seq_length: 128
        resolution: 256
        center_crop: False
        random_flip: False

training:
    gradient_accumulation_steps: 1
    cond_dropout_prob: 0.1
    batch_size: 20