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model: |
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target: imagedream.ldm.interface.LatentDiffusionInterface |
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params: |
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linear_start: 0.00085 |
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linear_end: 0.0120 |
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timesteps: 1000 |
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scale_factor: 0.18215 |
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parameterization: "eps" |
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zero_snr: true |
|
|
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unet_config: |
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target: imagedream.ldm.modules.diffusionmodules.openaimodel.MultiViewUNetModelStage2 |
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params: |
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image_size: 32 |
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in_channels: 8 |
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out_channels: 4 |
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model_channels: 320 |
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attention_resolutions: [ 4, 2, 1 ] |
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num_res_blocks: 2 |
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channel_mult: [ 1, 2, 4, 4 ] |
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num_head_channels: 64 |
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use_spatial_transformer: True |
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use_linear_in_transformer: True |
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transformer_depth: 1 |
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context_dim: 1024 |
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use_checkpoint: False |
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legacy: False |
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camera_dim: 16 |
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with_ip: True |
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ip_dim: 16 |
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ip_mode: "local_resample" |
|
|
|
vae_config: |
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target: imagedream.ldm.models.autoencoder.AutoencoderKL |
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params: |
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embed_dim: 4 |
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monitor: val/rec_loss |
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ddconfig: |
|
|
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double_z: true |
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z_channels: 4 |
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resolution: 256 |
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in_channels: 3 |
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out_ch: 3 |
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ch: 128 |
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ch_mult: |
|
- 1 |
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- 2 |
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- 4 |
|
- 4 |
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num_res_blocks: 2 |
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attn_resolutions: [] |
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dropout: 0.0 |
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lossconfig: |
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target: torch.nn.Identity |
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|
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clip_config: |
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target: imagedream.ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder |
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params: |
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freeze: True |
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layer: "penultimate" |
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ip_mode: "local_resample" |
|
|