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  1. LDSR/model.ckpt +3 -0
  2. LDSR/project.yaml +80 -0
LDSR/model.ckpt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c209caecac2f97b4bb8f4d726b70ac2ac9b35904b7fc99801e1f5e61f9210c13
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+ size 2039822129
LDSR/project.yaml ADDED
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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