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- model:
- base_learning_rate: 1.0e-06
- target: ldm.models.diffusion.ddpm.LatentDiffusion
- params:
- linear_start: 0.0015
- linear_end: 0.0205
- log_every_t: 100
- timesteps: 1000
- loss_type: l1
- first_stage_key: image
- cond_stage_key: segmentation
- image_size: 128
- channels: 3
- concat_mode: true
- cond_stage_trainable: true
- unet_config:
- target: ldm.modules.diffusionmodules.openaimodel.UNetModel
- params:
- image_size: 128
- in_channels: 6
- out_channels: 3
- model_channels: 128
- attention_resolutions:
- - 32
- - 16
- - 8
- num_res_blocks: 2
- channel_mult:
- - 1
- - 4
- - 8
- num_heads: 8
- first_stage_config:
- target: ldm.models.autoencoder.VQModelInterface
- params:
- embed_dim: 3
- n_embed: 8192
- monitor: val/rec_loss
- ddconfig:
- double_z: false
- z_channels: 3
- resolution: 256
- in_channels: 3
- out_ch: 3
- ch: 128
- ch_mult:
- - 1
- - 2
- - 4
- num_res_blocks: 2
- attn_resolutions: []
- dropout: 0.0
- lossconfig:
- target: torch.nn.Identity
- cond_stage_config:
- target: ldm.modules.encoders.modules.SpatialRescaler
- params:
- n_stages: 2
- in_channels: 182
- out_channels: 3
- data:
- target: main.DataModuleFromConfig
- params:
- batch_size: 8
- wrap: false
- num_workers: 10
- train:
- target: ldm.data.landscapes.RFWTrain
- params:
- size: 768
- crop_size: 512
- segmentation_to_float32: true
- validation:
- target: ldm.data.landscapes.RFWValidation
- params:
- size: 768
- crop_size: 512
- segmentation_to_float32: true
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