GANime_Kimetsu-no-yaiba_Tensorflow

GANime model trained on the Kimetsu no Yaiba dataset on Tensorflow.

The model internaly uses a Huggingface GPT2-large transformer to generate videos based on the first and last frame.

The parameters used for training are the following:

model:
  transformer_config:
    remaining_frames_method: "own_embeddings"
    transformer_type: "gpt2-large"
  first_stage_config:
    vqvae_config:
      beta: 0.25
      num_embeddings: 50257
      embedding_dim: 128
    autoencoder_config:
      z_channels: 512
      channels: 32
      channels_multiplier: 
      - 2
      - 4
      - 8
      - 8
      num_res_blocks: 1
      attention_resolution: 
      - 16
      resolution: 128
      dropout: 0.0
    discriminator_config:
      num_layers: 3
      filters: 64
      
    loss_config:
      discriminator:
        loss: "hinge"
        factor: 1.0
        iter_start: 16200
        weight: 0.3
      vqvae:
        codebook_weight: 1.0
        perceptual_weight: 4.0
      perceptual_loss: "vgg19"

train:
  batch_size: 64
  accumulation_size: 1
  n_epochs: 10000
  len_x_train: 28213
  warmup_epoch_percentage: 0.15
  lr_start: 1e-5
  lr_max: 2.5e-4
  perceptual_loss_weight: 1.0
  n_frames_before: 1
  stop_ground_truth_after_epoch: 1000

Implementation and documentation can be found here