68 lines
1.6 KiB
YAML
68 lines
1.6 KiB
YAML
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model:
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base_learning_rate: 0.0001
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target: ldm.models.diffusion.ddpm.LatentDiffusion
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params:
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linear_start: 0.0015
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linear_end: 0.015
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num_timesteps_cond: 1
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log_every_t: 200
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timesteps: 1000
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first_stage_key: jpg
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cond_stage_key: nix
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image_size: 48
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channels: 16
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cond_stage_trainable: false
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conditioning_key: crossattn
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monitor: val/loss_simple_ema
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scale_by_std: false
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scale_factor: 0.22765929
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unet_config:
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target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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params:
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image_size: 48
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in_channels: 16
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out_channels: 16
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model_channels: 448
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attention_resolutions:
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- 4
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- 2
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- 1
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num_res_blocks: 2
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channel_mult:
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- 1
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- 2
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- 3
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- 4
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use_scale_shift_norm: false
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resblock_updown: false
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num_head_channels: 32
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use_spatial_transformer: true
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transformer_depth: 1
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context_dim: 768
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use_checkpoint: true
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first_stage_config:
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target: ldm.models.autoencoder.AutoencoderKL
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params:
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monitor: val/rec_loss
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embed_dim: 16
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ddconfig:
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double_z: true
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z_channels: 16
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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:
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- 1
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- 1
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- 2
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- 2
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- 4
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num_res_blocks: 2
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attn_resolutions:
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- 16
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dropout: 0.0
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lossconfig:
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target: torch.nn.Identity
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cond_stage_config:
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target: torch.nn.Identity
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