81 lines
1.9 KiB
YAML
81 lines
1.9 KiB
YAML
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model:
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base_learning_rate: 1.0e-06
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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: 0.0155
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log_every_t: 100
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timesteps: 1000
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loss_type: l2
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first_stage_key: image
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cond_stage_key: LR_image
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image_size: 64
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channels: 3
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concat_mode: true
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cond_stage_trainable: false
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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: 64
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in_channels: 6
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out_channels: 3
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model_channels: 160
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attention_resolutions:
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- 16
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- 8
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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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- 2
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- 4
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num_head_channels: 32
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first_stage_config:
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target: ldm.models.autoencoder.VQModelInterface
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params:
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embed_dim: 3
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n_embed: 8192
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monitor: val/rec_loss
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ddconfig:
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double_z: false
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z_channels: 3
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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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- 2
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- 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.Module # todo
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cond_stage_config:
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target: torch.nn.Identity
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data:
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target: cutlit.DataModuleFromConfig
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params:
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batch_size: 64
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wrap: false
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num_workers: 12
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train:
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target: ldm.data.openimages.SuperresOpenImagesAdvancedTrain
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params:
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size: 256
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degradation: bsrgan_light
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downscale_f: 4
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min_crop_f: 0.5
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max_crop_f: 1.0
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random_crop: true
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validation:
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target: ldm.data.openimages.SuperresOpenImagesAdvancedValidation
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params:
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size: 256
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degradation: bsrgan_light
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downscale_f: 4
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min_crop_f: 0.5
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max_crop_f: 1.0
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random_crop: true
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