creaoy
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upscaler

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root commited on Jun 21, 2023

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4a17ba1

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1 Parent(s): 30d2b7f

init

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ESRGAN/16xPSNR.pth +3 -0
ESRGAN/1x_NMKD-BrightenRedux_200k.pth +3 -0
ESRGAN/1x_NMKD-YandereInpaint_375000_G.pth +3 -0
ESRGAN/1x_NMKDDetoon_97500_G.pth +3 -0
ESRGAN/1x_NoiseToner-Poisson-Detailed_108000_G.pth +3 -0
ESRGAN/1x_NoiseToner-Uniform-Detailed_100000_G.pth +3 -0
ESRGAN/4x-UltraSharp.pth +3 -0
ESRGAN/4xPSNR.pth +3 -0
ESRGAN/4x_CountryRoads_377000_G.pth +3 -0
ESRGAN/4x_Fatality_Comix_260000_G.pth +3 -0
ESRGAN/4x_NMKD-Siax_200k.pth +3 -0
ESRGAN/4x_NMKD-Superscale-Artisoftject_210000_G.pth +3 -0
ESRGAN/4x_NMKD-Superscale-SP_178000_G.pth +3 -0
ESRGAN/4x_NMKD-UltraYandere-Lite_280k.pth +3 -0
ESRGAN/4x_NMKD-UltraYandere_300k.pth +3 -0
ESRGAN/4x_NMKD-YandereNeoXL_200k.pth +3 -0
ESRGAN/4x_NMKDSuperscale_Artisoft_120000_G.pth +3 -0
ESRGAN/4x_NickelbackFS_72000_G.pth +3 -0
ESRGAN/4x_Nickelback_70000G.pth +3 -0
ESRGAN/4x_RealisticRescaler_100000_G.pth +3 -0
ESRGAN/4x_Valar_v1.pth +3 -0
ESRGAN/4x_fatal_Anime_500000_G.pth +3 -0
ESRGAN/4x_foolhardy_Remacri.pth +3 -0
ESRGAN/8xPSNR.pth +3 -0
ESRGAN/8x_NMKD-Superscale_150000_G.pth +3 -0
ESRGAN/8x_NMKD-Typescale_175k.pth +3 -0
ESRGAN/A_ESRGAN_Single.pth +3 -0
ESRGAN/BSRGAN.pth +3 -0
ESRGAN/BSRGANx2.pth +3 -0
ESRGAN/BSRNet.pth +3 -0
ESRGAN/LADDIER1_282500_G.pth +3 -0
ESRGAN/WaifuGAN_v3_30000.pth +3 -0
ESRGAN/lollypop.pth +3 -0
ESRGAN/sudo_rife4_269.662_testV1_scale1.pth +3 -0
GFPGAN/GFPGANv1.3.pth +3 -0
GFPGAN/GFPGANv1.4.pth +3 -0
LDSR/model.ckpt +3 -0
LDSR/project.yaml +80 -0
SwinIR/001_classicalSR_DF2K_s64w8_SwinIR-M_x2.pth +3 -0
SwinIR/001_classicalSR_DF2K_s64w8_SwinIR-M_x3.pth +3 -0
SwinIR/001_classicalSR_DF2K_s64w8_SwinIR-M_x4.pth +3 -0
SwinIR/001_classicalSR_DF2K_s64w8_SwinIR-M_x8.pth +3 -0
SwinIR/001_classicalSR_DIV2K_s48w8_SwinIR-M_x2.pth +3 -0
SwinIR/001_classicalSR_DIV2K_s48w8_SwinIR-M_x3.pth +3 -0
SwinIR/001_classicalSR_DIV2K_s48w8_SwinIR-M_x4.pth +3 -0
SwinIR/001_classicalSR_DIV2K_s48w8_SwinIR-M_x8.pth +3 -0
SwinIR/003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN-with-dict-keys-params-and-params_ema.pth +3 -0
SwinIR/003_realSR_BSRGAN_DFO_s64w8_SwinIR-M_x2_GAN-with-dict-keys-params-and-params_ema.pth +3 -0
SwinIR/Swin2SR_ClassicalSR_X2_64.pth +3 -0
SwinIR/Swin2SR_ClassicalSR_X4_64.pth +3 -0

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+model:
+  base_learning_rate: 1.0e-06
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.0015
+    linear_end: 0.0155
+    log_every_t: 100
+    timesteps: 1000
+    loss_type: l2
+    first_stage_key: image
+    cond_stage_key: LR_image
+    image_size: 64
+    channels: 3
+    concat_mode: true
+    cond_stage_trainable: false
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        image_size: 64
+        in_channels: 6
+        out_channels: 3
+        model_channels: 160
+        attention_resolutions:
+        - 16
+        - 8
+        num_res_blocks: 2
+        channel_mult:
+        - 1
+        - 2
+        - 2
+        - 4
+        num_head_channels: 32
+    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.Module # todo
+    cond_stage_config:
+      target: torch.nn.Identity
+data:
+  target: cutlit.DataModuleFromConfig
+  params:
+    batch_size: 64
+    wrap: false
+    num_workers: 12
+    train:
+      target: ldm.data.openimages.SuperresOpenImagesAdvancedTrain
+      params:
+        size: 256
+        degradation: bsrgan_light
+        downscale_f: 4
+        min_crop_f: 0.5
+        max_crop_f: 1.0
+        random_crop: true
+    validation:
+      target: ldm.data.openimages.SuperresOpenImagesAdvancedValidation
+      params:
+        size: 256
+        degradation: bsrgan_light
+        downscale_f: 4
+        min_crop_f: 0.5
+        max_crop_f: 1.0
+        random_crop: true

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