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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: masked_image
- image_size: 64
- channels: 3
- concat_mode: true
- monitor: val/loss
- scheduler_config:
- target: ldm.lr_scheduler.LambdaWarmUpCosineScheduler
- params:
- verbosity_interval: 0
- warm_up_steps: 1000
- max_decay_steps: 50000
- lr_start: 0.001
- lr_max: 0.1
- lr_min: 0.0001
- unet_config:
- target: ldm.modules.diffusionmodules.openaimodel.UNetModel
- params:
- image_size: 64
- in_channels: 7
- out_channels: 3
- model_channels: 256
- attention_resolutions:
- - 8
- - 4
- - 2
- num_res_blocks: 2
- channel_mult:
- - 1
- - 2
- - 3
- - 4
- num_heads: 8
- resblock_updown: true
- first_stage_config:
- target: ldm.models.autoencoder.VQModelInterface
- params:
- embed_dim: 3
- n_embed: 8192
- monitor: val/rec_loss
- ddconfig:
- attn_type: none
- 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: ldm.modules.losses.contperceptual.DummyLoss
- cond_stage_config: __is_first_stage__
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