Spaces:
Running
on
Zero
Running
on
Zero
| def get_autoencoder_kl_config(block_out_channels=None, norm_num_groups=None): | |
| block_out_channels = block_out_channels or [2, 4] | |
| norm_num_groups = norm_num_groups or 2 | |
| init_dict = { | |
| "block_out_channels": block_out_channels, | |
| "in_channels": 3, | |
| "out_channels": 3, | |
| "down_block_types": ["DownEncoderBlock2D"] * len(block_out_channels), | |
| "up_block_types": ["UpDecoderBlock2D"] * len(block_out_channels), | |
| "latent_channels": 4, | |
| "norm_num_groups": norm_num_groups, | |
| } | |
| return init_dict | |
| def get_asym_autoencoder_kl_config(block_out_channels=None, norm_num_groups=None): | |
| block_out_channels = block_out_channels or [2, 4] | |
| norm_num_groups = norm_num_groups or 2 | |
| init_dict = { | |
| "in_channels": 3, | |
| "out_channels": 3, | |
| "down_block_types": ["DownEncoderBlock2D"] * len(block_out_channels), | |
| "down_block_out_channels": block_out_channels, | |
| "layers_per_down_block": 1, | |
| "up_block_types": ["UpDecoderBlock2D"] * len(block_out_channels), | |
| "up_block_out_channels": block_out_channels, | |
| "layers_per_up_block": 1, | |
| "act_fn": "silu", | |
| "latent_channels": 4, | |
| "norm_num_groups": norm_num_groups, | |
| "sample_size": 32, | |
| "scaling_factor": 0.18215, | |
| } | |
| return init_dict | |
| def get_autoencoder_tiny_config(block_out_channels=None): | |
| block_out_channels = (len(block_out_channels) * [32]) if block_out_channels is not None else [32, 32] | |
| init_dict = { | |
| "in_channels": 3, | |
| "out_channels": 3, | |
| "encoder_block_out_channels": block_out_channels, | |
| "decoder_block_out_channels": block_out_channels, | |
| "num_encoder_blocks": [b // min(block_out_channels) for b in block_out_channels], | |
| "num_decoder_blocks": [b // min(block_out_channels) for b in reversed(block_out_channels)], | |
| } | |
| return init_dict | |
| def get_consistency_vae_config(block_out_channels=None, norm_num_groups=None): | |
| block_out_channels = block_out_channels or [2, 4] | |
| norm_num_groups = norm_num_groups or 2 | |
| return { | |
| "encoder_block_out_channels": block_out_channels, | |
| "encoder_in_channels": 3, | |
| "encoder_out_channels": 4, | |
| "encoder_down_block_types": ["DownEncoderBlock2D"] * len(block_out_channels), | |
| "decoder_add_attention": False, | |
| "decoder_block_out_channels": block_out_channels, | |
| "decoder_down_block_types": ["ResnetDownsampleBlock2D"] * len(block_out_channels), | |
| "decoder_downsample_padding": 1, | |
| "decoder_in_channels": 7, | |
| "decoder_layers_per_block": 1, | |
| "decoder_norm_eps": 1e-05, | |
| "decoder_norm_num_groups": norm_num_groups, | |
| "encoder_norm_num_groups": norm_num_groups, | |
| "decoder_num_train_timesteps": 1024, | |
| "decoder_out_channels": 6, | |
| "decoder_resnet_time_scale_shift": "scale_shift", | |
| "decoder_time_embedding_type": "learned", | |
| "decoder_up_block_types": ["ResnetUpsampleBlock2D"] * len(block_out_channels), | |
| "scaling_factor": 1, | |
| "latent_channels": 4, | |
| } | |
| def get_autoencoder_oobleck_config(block_out_channels=None): | |
| init_dict = { | |
| "encoder_hidden_size": 12, | |
| "decoder_channels": 12, | |
| "decoder_input_channels": 6, | |
| "audio_channels": 2, | |
| "downsampling_ratios": [2, 4], | |
| "channel_multiples": [1, 2], | |
| } | |
| return init_dict | |