Hugging Face's logo

defhouse
/
sdxl

ONNX
Model card Files Community
defhouse commited on
Commit
37b74d3
•
1 Parent(s): 8e55ea8

Upload 38 files

Browse files
Files changed (38) hide show
  1. checkpoints/SDXL/vxpAnimaponyxlTurbo_v10Turbo.safetensors +3 -0
  2. checkpoints/SDXL/wildcardxXLTURBO_wildcardxXLTURBOV10.safetensors +3 -0
  3. checkpoints/put_checkpoints_here +0 -0
  4. controlnet/put_controlnets_and_t2i_here +0 -0
  5. controlnet/sdxl/OpenPoseXL2.safetensors +3 -0
  6. controlnet/sdxl/mistoLine_rank256.safetensors +3 -0
  7. upscale_models/ClearRealityV1/4x-ClearRealityV1.pth +3 -0
  8. upscale_models/ClearRealityV1/4x-ClearRealityV1_Soft.pth +3 -0
  9. upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1-fp16.bin +3 -0
  10. upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1-fp16.param +78 -0
  11. upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1-fp32.bin +3 -0
  12. upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1-fp32.param +78 -0
  13. upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1_Soft-fp16.bin +3 -0
  14. upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1_Soft-fp16.param +78 -0
  15. upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1_Soft-fp32.bin +3 -0
  16. upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1_Soft-fp32.param +78 -0
  17. upscale_models/ClearRealityV1/Configs/Dataset Destroyer/Late/config.ini +96 -0
  18. upscale_models/ClearRealityV1/Configs/neoSR/Early/train_span.yml +105 -0
  19. upscale_models/ClearRealityV1/Configs/neoSR/Final/train_span.yml +105 -0
  20. upscale_models/ClearRealityV1/Configs/neoSR/Mid-train/train_span.yml +105 -0
  21. upscale_models/ClearRealityV1/INFO.txt +22 -0
  22. upscale_models/ClearRealityV1/ONNX/Soft_fp16/4x-ClearRealityV1_Soft-fp16-opset14.onnx +3 -0
  23. upscale_models/ClearRealityV1/ONNX/Soft_fp16/4x-ClearRealityV1_Soft-fp16-opset15.onnx +3 -0
  24. upscale_models/ClearRealityV1/ONNX/Soft_fp16/4x-ClearRealityV1_Soft-fp16-opset16.onnx +3 -0
  25. upscale_models/ClearRealityV1/ONNX/Soft_fp16/4x-ClearRealityV1_Soft-fp16-opset17.onnx +3 -0
  26. upscale_models/ClearRealityV1/ONNX/Soft_fp32/4x-ClearRealityV1_Soft-fp32-opset14.onnx +3 -0
  27. upscale_models/ClearRealityV1/ONNX/Soft_fp32/4x-ClearRealityV1_Soft-fp32-opset15.onnx +3 -0
  28. upscale_models/ClearRealityV1/ONNX/Soft_fp32/4x-ClearRealityV1_Soft-fp32-opset16.onnx +3 -0
  29. upscale_models/ClearRealityV1/ONNX/Soft_fp32/4x-ClearRealityV1_Soft-fp32-opset17.onnx +3 -0
  30. upscale_models/ClearRealityV1/ONNX/fp16/4x-ClearRealityV1-fp16-opset14.onnx +3 -0
  31. upscale_models/ClearRealityV1/ONNX/fp16/4x-ClearRealityV1-fp16-opset15.onnx +3 -0
  32. upscale_models/ClearRealityV1/ONNX/fp16/4x-ClearRealityV1-fp16-opset16.onnx +3 -0
  33. upscale_models/ClearRealityV1/ONNX/fp16/4x-ClearRealityV1-fp16-opset17.onnx +3 -0
  34. upscale_models/ClearRealityV1/ONNX/fp32/4x-ClearRealityV1-fp32-opset14.onnx +3 -0
  35. upscale_models/ClearRealityV1/ONNX/fp32/4x-ClearRealityV1-fp32-opset15.onnx +3 -0
  36. upscale_models/ClearRealityV1/ONNX/fp32/4x-ClearRealityV1-fp32-opset16.onnx +3 -0
  37. upscale_models/ClearRealityV1/ONNX/fp32/4x-ClearRealityV1-fp32-opset17.onnx +3 -0
  38. upscale_models/put_esrgan_and_other_upscale_models_here +0 -0
checkpoints/SDXL/vxpAnimaponyxlTurbo_v10Turbo.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5908d8b2291a5de886c1d809c72da72c761b4298f3d25b87fea2d668c93dc9eb
3
+ size 6938043248
checkpoints/SDXL/wildcardxXLTURBO_wildcardxXLTURBOV10.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:276d222ef08a3e8c60c49069bad728b8654b8577e1595859a1feffc67141a408
3
+ size 7105368768
checkpoints/put_checkpoints_here ADDED
File without changes
controlnet/put_controlnets_and_t2i_here ADDED
File without changes
controlnet/sdxl/OpenPoseXL2.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a4b928cb1e93748217900cb66d4135bf70d932d2924232f925910fad9e43a92
3
+ size 5004167829
controlnet/sdxl/mistoLine_rank256.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c46c871a49bf9e74114f0e1f87d818426203fd62847e78043e4ce2d40834d53
3
+ size 774423024
upscale_models/ClearRealityV1/4x-ClearRealityV1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a4cd3a25b00e0be949d4302fc774eb4d7f2ed5f47cdb51551e2d75fa6562e51e
3
+ size 9016074
upscale_models/ClearRealityV1/4x-ClearRealityV1_Soft.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08f74a031c26444ec9d6c6750ea88df04fc91207dc0eb6973fa1881ac5a15b21
3
+ size 9016074
upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1-fp16.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94d220dc8f44ba808de9105af115beffe0cc8296df8dba71a9ea54632e8dc018
3
+ size 854776
upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1-fp16.param ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 7767517
2
+ 77 92
3
+ Input data 0 1 data
4
+ BinaryOp /Sub 2 1 data /Constant_output_0 /Sub_output_0 0=1
5
+ BinaryOp /Mul 1 1 /Sub_output_0 /Mul_output_0 0=2 1=1 2=2.550000e+02
6
+ Convolution /conv_1/eval_conv/Conv 1 1 /Mul_output_0 /conv_1/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=1296
7
+ Split splitncnn_0 1 3 /conv_1/eval_conv/Conv_output_0 /conv_1/eval_conv/Conv_output_0_splitncnn_0 /conv_1/eval_conv/Conv_output_0_splitncnn_1 /conv_1/eval_conv/Conv_output_0_splitncnn_2
8
+ Convolution /block_1/c1_r/eval_conv/Conv 1 1 /conv_1/eval_conv/Conv_output_0_splitncnn_2 /block_1/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
9
+ Swish /block_1/act1/Mul 1 1 /block_1/c1_r/eval_conv/Conv_output_0 /block_1/act1/Mul_output_0
10
+ Convolution /block_1/c2_r/eval_conv/Conv 1 1 /block_1/act1/Mul_output_0 /block_1/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
11
+ Swish /block_1/act1_1/Mul 1 1 /block_1/c2_r/eval_conv/Conv_output_0 /block_1/act1_1/Mul_output_0
12
+ Convolution /block_1/c3_r/eval_conv/Conv 1 1 /block_1/act1_1/Mul_output_0 /block_1/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
13
+ Split splitncnn_1 1 2 /block_1/c3_r/eval_conv/Conv_output_0 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_1
14
+ Sigmoid /block_1/Sigmoid 1 1 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_1/Sigmoid_output_0
15
+ BinaryOp /block_1/Sub 1 1 /block_1/Sigmoid_output_0 /block_1/Sub_output_0 0=1 1=1 2=5.000000e-01
16
+ BinaryOp /block_1/Add 2 1 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_0 /conv_1/eval_conv/Conv_output_0_splitncnn_1 /block_1/Add_output_0
17
+ BinaryOp /block_1/Mul 2 1 /block_1/Add_output_0 /block_1/Sub_output_0 /block_1/Mul_output_0 0=2
18
+ Split splitncnn_2 1 3 /block_1/Mul_output_0 /block_1/Mul_output_0_splitncnn_0 /block_1/Mul_output_0_splitncnn_1 /block_1/Mul_output_0_splitncnn_2
19
+ Convolution /block_2/c1_r/eval_conv/Conv 1 1 /block_1/Mul_output_0_splitncnn_2 /block_2/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
20
+ Swish /block_2/act1/Mul 1 1 /block_2/c1_r/eval_conv/Conv_output_0 /block_2/act1/Mul_output_0
21
+ Convolution /block_2/c2_r/eval_conv/Conv 1 1 /block_2/act1/Mul_output_0 /block_2/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
22
+ Swish /block_2/act1_1/Mul 1 1 /block_2/c2_r/eval_conv/Conv_output_0 /block_2/act1_1/Mul_output_0
23
+ Convolution /block_2/c3_r/eval_conv/Conv 1 1 /block_2/act1_1/Mul_output_0 /block_2/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
24
+ Split splitncnn_3 1 2 /block_2/c3_r/eval_conv/Conv_output_0 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_1
25
+ Sigmoid /block_2/Sigmoid 1 1 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_2/Sigmoid_output_0
26
+ BinaryOp /block_2/Sub 1 1 /block_2/Sigmoid_output_0 /block_2/Sub_output_0 0=1 1=1 2=5.000000e-01
27
+ BinaryOp /block_2/Add 2 1 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_1/Mul_output_0_splitncnn_1 /block_2/Add_output_0
28
+ BinaryOp /block_2/Mul 2 1 /block_2/Add_output_0 /block_2/Sub_output_0 /block_2/Mul_output_0 0=2
29
+ Split splitncnn_4 1 2 /block_2/Mul_output_0 /block_2/Mul_output_0_splitncnn_0 /block_2/Mul_output_0_splitncnn_1
30
+ Convolution /block_3/c1_r/eval_conv/Conv 1 1 /block_2/Mul_output_0_splitncnn_1 /block_3/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
31
+ Swish /block_3/act1/Mul 1 1 /block_3/c1_r/eval_conv/Conv_output_0 /block_3/act1/Mul_output_0
32
+ Convolution /block_3/c2_r/eval_conv/Conv 1 1 /block_3/act1/Mul_output_0 /block_3/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
33
+ Swish /block_3/act1_1/Mul 1 1 /block_3/c2_r/eval_conv/Conv_output_0 /block_3/act1_1/Mul_output_0
34
+ Convolution /block_3/c3_r/eval_conv/Conv 1 1 /block_3/act1_1/Mul_output_0 /block_3/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
35
+ Split splitncnn_5 1 2 /block_3/c3_r/eval_conv/Conv_output_0 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_1
36
+ Sigmoid /block_3/Sigmoid 1 1 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_3/Sigmoid_output_0
37
+ BinaryOp /block_3/Sub 1 1 /block_3/Sigmoid_output_0 /block_3/Sub_output_0 0=1 1=1 2=5.000000e-01
38
+ BinaryOp /block_3/Add 2 1 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_2/Mul_output_0_splitncnn_0 /block_3/Add_output_0
39
+ BinaryOp /block_3/Mul 2 1 /block_3/Add_output_0 /block_3/Sub_output_0 /block_3/Mul_output_0 0=2
40
+ Split splitncnn_6 1 2 /block_3/Mul_output_0 /block_3/Mul_output_0_splitncnn_0 /block_3/Mul_output_0_splitncnn_1
41
+ Convolution /block_4/c1_r/eval_conv/Conv 1 1 /block_3/Mul_output_0_splitncnn_1 /block_4/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
42
+ Swish /block_4/act1/Mul 1 1 /block_4/c1_r/eval_conv/Conv_output_0 /block_4/act1/Mul_output_0
43
+ Convolution /block_4/c2_r/eval_conv/Conv 1 1 /block_4/act1/Mul_output_0 /block_4/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
44
+ Swish /block_4/act1_1/Mul 1 1 /block_4/c2_r/eval_conv/Conv_output_0 /block_4/act1_1/Mul_output_0
45
+ Convolution /block_4/c3_r/eval_conv/Conv 1 1 /block_4/act1_1/Mul_output_0 /block_4/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
46
+ Split splitncnn_7 1 2 /block_4/c3_r/eval_conv/Conv_output_0 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_1
47
+ Sigmoid /block_4/Sigmoid 1 1 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_4/Sigmoid_output_0
48
+ BinaryOp /block_4/Sub 1 1 /block_4/Sigmoid_output_0 /block_4/Sub_output_0 0=1 1=1 2=5.000000e-01
49
+ BinaryOp /block_4/Add 2 1 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_3/Mul_output_0_splitncnn_0 /block_4/Add_output_0
50
+ BinaryOp /block_4/Mul 2 1 /block_4/Add_output_0 /block_4/Sub_output_0 /block_4/Mul_output_0 0=2
51
+ Split splitncnn_8 1 2 /block_4/Mul_output_0 /block_4/Mul_output_0_splitncnn_0 /block_4/Mul_output_0_splitncnn_1
52
+ Convolution /block_5/c1_r/eval_conv/Conv 1 1 /block_4/Mul_output_0_splitncnn_1 /block_5/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
53
+ Swish /block_5/act1/Mul 1 1 /block_5/c1_r/eval_conv/Conv_output_0 /block_5/act1/Mul_output_0
54
+ Convolution /block_5/c2_r/eval_conv/Conv 1 1 /block_5/act1/Mul_output_0 /block_5/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
55
+ Swish /block_5/act1_1/Mul 1 1 /block_5/c2_r/eval_conv/Conv_output_0 /block_5/act1_1/Mul_output_0
56
+ Convolution /block_5/c3_r/eval_conv/Conv 1 1 /block_5/act1_1/Mul_output_0 /block_5/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
57
+ Split splitncnn_9 1 2 /block_5/c3_r/eval_conv/Conv_output_0 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_1
58
+ Sigmoid /block_5/Sigmoid 1 1 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_5/Sigmoid_output_0
59
+ BinaryOp /block_5/Sub 1 1 /block_5/Sigmoid_output_0 /block_5/Sub_output_0 0=1 1=1 2=5.000000e-01
60
+ BinaryOp /block_5/Add 2 1 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_4/Mul_output_0_splitncnn_0 /block_5/Add_output_0
61
+ BinaryOp /block_5/Mul 2 1 /block_5/Add_output_0 /block_5/Sub_output_0 /block_5/Mul_output_0 0=2
62
+ Split splitncnn_10 1 2 /block_5/Mul_output_0 /block_5/Mul_output_0_splitncnn_0 /block_5/Mul_output_0_splitncnn_1
63
+ Convolution /block_6/c1_r/eval_conv/Conv 1 1 /block_5/Mul_output_0_splitncnn_1 /block_6/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
64
+ Swish /block_6/act1/Mul 1 1 /block_6/c1_r/eval_conv/Conv_output_0 /block_6/act1/Mul_output_0
65
+ Split splitncnn_11 1 2 /block_6/act1/Mul_output_0 /block_6/act1/Mul_output_0_splitncnn_0 /block_6/act1/Mul_output_0_splitncnn_1
66
+ Convolution /block_6/c2_r/eval_conv/Conv 1 1 /block_6/act1/Mul_output_0_splitncnn_1 /block_6/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
67
+ Swish /block_6/act1_1/Mul 1 1 /block_6/c2_r/eval_conv/Conv_output_0 /block_6/act1_1/Mul_output_0
68
+ Convolution /block_6/c3_r/eval_conv/Conv 1 1 /block_6/act1_1/Mul_output_0 /block_6/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
69
+ Split splitncnn_12 1 2 /block_6/c3_r/eval_conv/Conv_output_0 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_1
70
+ Sigmoid /block_6/Sigmoid 1 1 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_6/Sigmoid_output_0
71
+ BinaryOp /block_6/Sub 1 1 /block_6/Sigmoid_output_0 /block_6/Sub_output_0 0=1 1=1 2=5.000000e-01
72
+ BinaryOp /block_6/Add 2 1 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_5/Mul_output_0_splitncnn_0 /block_6/Add_output_0
73
+ BinaryOp /block_6/Mul 2 1 /block_6/Add_output_0 /block_6/Sub_output_0 /block_6/Mul_output_0 0=2
74
+ Convolution /conv_2/eval_conv/Conv 1 1 /block_6/Mul_output_0 /conv_2/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
75
+ Concat /Concat 4 1 /conv_1/eval_conv/Conv_output_0_splitncnn_0 /conv_2/eval_conv/Conv_output_0 /block_1/Mul_output_0_splitncnn_0 /block_6/act1/Mul_output_0_splitncnn_0 /Concat_output_0
76
+ Convolution /conv_cat/Conv 1 1 /Concat_output_0 /conv_cat/Conv_output_0 0=48 1=1 5=1 6=9216
77
+ Convolution /upsampler/upsampler.0/Conv 1 1 /conv_cat/Conv_output_0 /upsampler/upsampler.0/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
78
+ PixelShuffle /upsampler/upsampler.1/DepthToSpace 1 1 /upsampler/upsampler.0/Conv_output_0 output 0=4
upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1-fp32.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ef43df701212dbacbb78627cb7aa7eeb058a80d3d85a5dc109185cea06d317b
3
+ size 1705240
upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1-fp32.param ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 7767517
2
+ 77 92
3
+ Input data 0 1 data
4
+ BinaryOp /Sub 2 1 data /Constant_output_0 /Sub_output_0 0=1
5
+ BinaryOp /Mul 1 1 /Sub_output_0 /Mul_output_0 0=2 1=1 2=2.550000e+02
6
+ Convolution /conv_1/eval_conv/Conv 1 1 /Mul_output_0 /conv_1/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=1296
7
+ Split splitncnn_0 1 3 /conv_1/eval_conv/Conv_output_0 /conv_1/eval_conv/Conv_output_0_splitncnn_0 /conv_1/eval_conv/Conv_output_0_splitncnn_1 /conv_1/eval_conv/Conv_output_0_splitncnn_2
8
+ Convolution /block_1/c1_r/eval_conv/Conv 1 1 /conv_1/eval_conv/Conv_output_0_splitncnn_2 /block_1/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
9
+ Swish /block_1/act1/Mul 1 1 /block_1/c1_r/eval_conv/Conv_output_0 /block_1/act1/Mul_output_0
10
+ Convolution /block_1/c2_r/eval_conv/Conv 1 1 /block_1/act1/Mul_output_0 /block_1/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
11
+ Swish /block_1/act1_1/Mul 1 1 /block_1/c2_r/eval_conv/Conv_output_0 /block_1/act1_1/Mul_output_0
12
+ Convolution /block_1/c3_r/eval_conv/Conv 1 1 /block_1/act1_1/Mul_output_0 /block_1/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
13
+ Split splitncnn_1 1 2 /block_1/c3_r/eval_conv/Conv_output_0 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_1
14
+ Sigmoid /block_1/Sigmoid 1 1 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_1/Sigmoid_output_0
15
+ BinaryOp /block_1/Sub 1 1 /block_1/Sigmoid_output_0 /block_1/Sub_output_0 0=1 1=1 2=5.000000e-01
16
+ BinaryOp /block_1/Add 2 1 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_0 /conv_1/eval_conv/Conv_output_0_splitncnn_1 /block_1/Add_output_0
17
+ BinaryOp /block_1/Mul 2 1 /block_1/Add_output_0 /block_1/Sub_output_0 /block_1/Mul_output_0 0=2
18
+ Split splitncnn_2 1 3 /block_1/Mul_output_0 /block_1/Mul_output_0_splitncnn_0 /block_1/Mul_output_0_splitncnn_1 /block_1/Mul_output_0_splitncnn_2
19
+ Convolution /block_2/c1_r/eval_conv/Conv 1 1 /block_1/Mul_output_0_splitncnn_2 /block_2/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
20
+ Swish /block_2/act1/Mul 1 1 /block_2/c1_r/eval_conv/Conv_output_0 /block_2/act1/Mul_output_0
21
+ Convolution /block_2/c2_r/eval_conv/Conv 1 1 /block_2/act1/Mul_output_0 /block_2/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
22
+ Swish /block_2/act1_1/Mul 1 1 /block_2/c2_r/eval_conv/Conv_output_0 /block_2/act1_1/Mul_output_0
23
+ Convolution /block_2/c3_r/eval_conv/Conv 1 1 /block_2/act1_1/Mul_output_0 /block_2/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
24
+ Split splitncnn_3 1 2 /block_2/c3_r/eval_conv/Conv_output_0 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_1
25
+ Sigmoid /block_2/Sigmoid 1 1 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_2/Sigmoid_output_0
26
+ BinaryOp /block_2/Sub 1 1 /block_2/Sigmoid_output_0 /block_2/Sub_output_0 0=1 1=1 2=5.000000e-01
27
+ BinaryOp /block_2/Add 2 1 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_1/Mul_output_0_splitncnn_1 /block_2/Add_output_0
28
+ BinaryOp /block_2/Mul 2 1 /block_2/Add_output_0 /block_2/Sub_output_0 /block_2/Mul_output_0 0=2
29
+ Split splitncnn_4 1 2 /block_2/Mul_output_0 /block_2/Mul_output_0_splitncnn_0 /block_2/Mul_output_0_splitncnn_1
30
+ Convolution /block_3/c1_r/eval_conv/Conv 1 1 /block_2/Mul_output_0_splitncnn_1 /block_3/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
31
+ Swish /block_3/act1/Mul 1 1 /block_3/c1_r/eval_conv/Conv_output_0 /block_3/act1/Mul_output_0
32
+ Convolution /block_3/c2_r/eval_conv/Conv 1 1 /block_3/act1/Mul_output_0 /block_3/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
33
+ Swish /block_3/act1_1/Mul 1 1 /block_3/c2_r/eval_conv/Conv_output_0 /block_3/act1_1/Mul_output_0
34
+ Convolution /block_3/c3_r/eval_conv/Conv 1 1 /block_3/act1_1/Mul_output_0 /block_3/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
35
+ Split splitncnn_5 1 2 /block_3/c3_r/eval_conv/Conv_output_0 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_1
36
+ Sigmoid /block_3/Sigmoid 1 1 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_3/Sigmoid_output_0
37
+ BinaryOp /block_3/Sub 1 1 /block_3/Sigmoid_output_0 /block_3/Sub_output_0 0=1 1=1 2=5.000000e-01
38
+ BinaryOp /block_3/Add 2 1 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_2/Mul_output_0_splitncnn_0 /block_3/Add_output_0
39
+ BinaryOp /block_3/Mul 2 1 /block_3/Add_output_0 /block_3/Sub_output_0 /block_3/Mul_output_0 0=2
40
+ Split splitncnn_6 1 2 /block_3/Mul_output_0 /block_3/Mul_output_0_splitncnn_0 /block_3/Mul_output_0_splitncnn_1
41
+ Convolution /block_4/c1_r/eval_conv/Conv 1 1 /block_3/Mul_output_0_splitncnn_1 /block_4/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
42
+ Swish /block_4/act1/Mul 1 1 /block_4/c1_r/eval_conv/Conv_output_0 /block_4/act1/Mul_output_0
43
+ Convolution /block_4/c2_r/eval_conv/Conv 1 1 /block_4/act1/Mul_output_0 /block_4/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
44
+ Swish /block_4/act1_1/Mul 1 1 /block_4/c2_r/eval_conv/Conv_output_0 /block_4/act1_1/Mul_output_0
45
+ Convolution /block_4/c3_r/eval_conv/Conv 1 1 /block_4/act1_1/Mul_output_0 /block_4/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
46
+ Split splitncnn_7 1 2 /block_4/c3_r/eval_conv/Conv_output_0 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_1
47
+ Sigmoid /block_4/Sigmoid 1 1 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_4/Sigmoid_output_0
48
+ BinaryOp /block_4/Sub 1 1 /block_4/Sigmoid_output_0 /block_4/Sub_output_0 0=1 1=1 2=5.000000e-01
49
+ BinaryOp /block_4/Add 2 1 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_3/Mul_output_0_splitncnn_0 /block_4/Add_output_0
50
+ BinaryOp /block_4/Mul 2 1 /block_4/Add_output_0 /block_4/Sub_output_0 /block_4/Mul_output_0 0=2
51
+ Split splitncnn_8 1 2 /block_4/Mul_output_0 /block_4/Mul_output_0_splitncnn_0 /block_4/Mul_output_0_splitncnn_1
52
+ Convolution /block_5/c1_r/eval_conv/Conv 1 1 /block_4/Mul_output_0_splitncnn_1 /block_5/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
53
+ Swish /block_5/act1/Mul 1 1 /block_5/c1_r/eval_conv/Conv_output_0 /block_5/act1/Mul_output_0
54
+ Convolution /block_5/c2_r/eval_conv/Conv 1 1 /block_5/act1/Mul_output_0 /block_5/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
55
+ Swish /block_5/act1_1/Mul 1 1 /block_5/c2_r/eval_conv/Conv_output_0 /block_5/act1_1/Mul_output_0
56
+ Convolution /block_5/c3_r/eval_conv/Conv 1 1 /block_5/act1_1/Mul_output_0 /block_5/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
57
+ Split splitncnn_9 1 2 /block_5/c3_r/eval_conv/Conv_output_0 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_1
58
+ Sigmoid /block_5/Sigmoid 1 1 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_5/Sigmoid_output_0
59
+ BinaryOp /block_5/Sub 1 1 /block_5/Sigmoid_output_0 /block_5/Sub_output_0 0=1 1=1 2=5.000000e-01
60
+ BinaryOp /block_5/Add 2 1 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_4/Mul_output_0_splitncnn_0 /block_5/Add_output_0
61
+ BinaryOp /block_5/Mul 2 1 /block_5/Add_output_0 /block_5/Sub_output_0 /block_5/Mul_output_0 0=2
62
+ Split splitncnn_10 1 2 /block_5/Mul_output_0 /block_5/Mul_output_0_splitncnn_0 /block_5/Mul_output_0_splitncnn_1
63
+ Convolution /block_6/c1_r/eval_conv/Conv 1 1 /block_5/Mul_output_0_splitncnn_1 /block_6/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
64
+ Swish /block_6/act1/Mul 1 1 /block_6/c1_r/eval_conv/Conv_output_0 /block_6/act1/Mul_output_0
65
+ Split splitncnn_11 1 2 /block_6/act1/Mul_output_0 /block_6/act1/Mul_output_0_splitncnn_0 /block_6/act1/Mul_output_0_splitncnn_1
66
+ Convolution /block_6/c2_r/eval_conv/Conv 1 1 /block_6/act1/Mul_output_0_splitncnn_1 /block_6/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
67
+ Swish /block_6/act1_1/Mul 1 1 /block_6/c2_r/eval_conv/Conv_output_0 /block_6/act1_1/Mul_output_0
68
+ Convolution /block_6/c3_r/eval_conv/Conv 1 1 /block_6/act1_1/Mul_output_0 /block_6/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
69
+ Split splitncnn_12 1 2 /block_6/c3_r/eval_conv/Conv_output_0 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_1
70
+ Sigmoid /block_6/Sigmoid 1 1 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_6/Sigmoid_output_0
71
+ BinaryOp /block_6/Sub 1 1 /block_6/Sigmoid_output_0 /block_6/Sub_output_0 0=1 1=1 2=5.000000e-01
72
+ BinaryOp /block_6/Add 2 1 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_5/Mul_output_0_splitncnn_0 /block_6/Add_output_0
73
+ BinaryOp /block_6/Mul 2 1 /block_6/Add_output_0 /block_6/Sub_output_0 /block_6/Mul_output_0 0=2
74
+ Convolution /conv_2/eval_conv/Conv 1 1 /block_6/Mul_output_0 /conv_2/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
75
+ Concat /Concat 4 1 /conv_1/eval_conv/Conv_output_0_splitncnn_0 /conv_2/eval_conv/Conv_output_0 /block_1/Mul_output_0_splitncnn_0 /block_6/act1/Mul_output_0_splitncnn_0 /Concat_output_0
76
+ Convolution /conv_cat/Conv 1 1 /Concat_output_0 /conv_cat/Conv_output_0 0=48 1=1 5=1 6=9216
77
+ Convolution /upsampler/upsampler.0/Conv 1 1 /conv_cat/Conv_output_0 /upsampler/upsampler.0/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
78
+ PixelShuffle /upsampler/upsampler.1/DepthToSpace 1 1 /upsampler/upsampler.0/Conv_output_0 output 0=4
upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1_Soft-fp16.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:408bdeba87db439c214bf115eefd479201e8c9606cfe306cad17a5145d42dc46
3
+ size 854776
upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1_Soft-fp16.param ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 7767517
2
+ 77 92
3
+ Input data 0 1 data
4
+ BinaryOp /Sub 2 1 data /Constant_output_0 /Sub_output_0 0=1
5
+ BinaryOp /Mul 1 1 /Sub_output_0 /Mul_output_0 0=2 1=1 2=2.550000e+02
6
+ Convolution /conv_1/eval_conv/Conv 1 1 /Mul_output_0 /conv_1/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=1296
7
+ Split splitncnn_0 1 3 /conv_1/eval_conv/Conv_output_0 /conv_1/eval_conv/Conv_output_0_splitncnn_0 /conv_1/eval_conv/Conv_output_0_splitncnn_1 /conv_1/eval_conv/Conv_output_0_splitncnn_2
8
+ Convolution /block_1/c1_r/eval_conv/Conv 1 1 /conv_1/eval_conv/Conv_output_0_splitncnn_2 /block_1/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
9
+ Swish /block_1/act1/Mul 1 1 /block_1/c1_r/eval_conv/Conv_output_0 /block_1/act1/Mul_output_0
10
+ Convolution /block_1/c2_r/eval_conv/Conv 1 1 /block_1/act1/Mul_output_0 /block_1/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
11
+ Swish /block_1/act1_1/Mul 1 1 /block_1/c2_r/eval_conv/Conv_output_0 /block_1/act1_1/Mul_output_0
12
+ Convolution /block_1/c3_r/eval_conv/Conv 1 1 /block_1/act1_1/Mul_output_0 /block_1/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
13
+ Split splitncnn_1 1 2 /block_1/c3_r/eval_conv/Conv_output_0 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_1
14
+ Sigmoid /block_1/Sigmoid 1 1 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_1/Sigmoid_output_0
15
+ BinaryOp /block_1/Sub 1 1 /block_1/Sigmoid_output_0 /block_1/Sub_output_0 0=1 1=1 2=5.000000e-01
16
+ BinaryOp /block_1/Add 2 1 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_0 /conv_1/eval_conv/Conv_output_0_splitncnn_1 /block_1/Add_output_0
17
+ BinaryOp /block_1/Mul 2 1 /block_1/Add_output_0 /block_1/Sub_output_0 /block_1/Mul_output_0 0=2
18
+ Split splitncnn_2 1 3 /block_1/Mul_output_0 /block_1/Mul_output_0_splitncnn_0 /block_1/Mul_output_0_splitncnn_1 /block_1/Mul_output_0_splitncnn_2
19
+ Convolution /block_2/c1_r/eval_conv/Conv 1 1 /block_1/Mul_output_0_splitncnn_2 /block_2/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
20
+ Swish /block_2/act1/Mul 1 1 /block_2/c1_r/eval_conv/Conv_output_0 /block_2/act1/Mul_output_0
21
+ Convolution /block_2/c2_r/eval_conv/Conv 1 1 /block_2/act1/Mul_output_0 /block_2/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
22
+ Swish /block_2/act1_1/Mul 1 1 /block_2/c2_r/eval_conv/Conv_output_0 /block_2/act1_1/Mul_output_0
23
+ Convolution /block_2/c3_r/eval_conv/Conv 1 1 /block_2/act1_1/Mul_output_0 /block_2/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
24
+ Split splitncnn_3 1 2 /block_2/c3_r/eval_conv/Conv_output_0 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_1
25
+ Sigmoid /block_2/Sigmoid 1 1 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_2/Sigmoid_output_0
26
+ BinaryOp /block_2/Sub 1 1 /block_2/Sigmoid_output_0 /block_2/Sub_output_0 0=1 1=1 2=5.000000e-01
27
+ BinaryOp /block_2/Add 2 1 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_1/Mul_output_0_splitncnn_1 /block_2/Add_output_0
28
+ BinaryOp /block_2/Mul 2 1 /block_2/Add_output_0 /block_2/Sub_output_0 /block_2/Mul_output_0 0=2
29
+ Split splitncnn_4 1 2 /block_2/Mul_output_0 /block_2/Mul_output_0_splitncnn_0 /block_2/Mul_output_0_splitncnn_1
30
+ Convolution /block_3/c1_r/eval_conv/Conv 1 1 /block_2/Mul_output_0_splitncnn_1 /block_3/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
31
+ Swish /block_3/act1/Mul 1 1 /block_3/c1_r/eval_conv/Conv_output_0 /block_3/act1/Mul_output_0
32
+ Convolution /block_3/c2_r/eval_conv/Conv 1 1 /block_3/act1/Mul_output_0 /block_3/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
33
+ Swish /block_3/act1_1/Mul 1 1 /block_3/c2_r/eval_conv/Conv_output_0 /block_3/act1_1/Mul_output_0
34
+ Convolution /block_3/c3_r/eval_conv/Conv 1 1 /block_3/act1_1/Mul_output_0 /block_3/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
35
+ Split splitncnn_5 1 2 /block_3/c3_r/eval_conv/Conv_output_0 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_1
36
+ Sigmoid /block_3/Sigmoid 1 1 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_3/Sigmoid_output_0
37
+ BinaryOp /block_3/Sub 1 1 /block_3/Sigmoid_output_0 /block_3/Sub_output_0 0=1 1=1 2=5.000000e-01
38
+ BinaryOp /block_3/Add 2 1 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_2/Mul_output_0_splitncnn_0 /block_3/Add_output_0
39
+ BinaryOp /block_3/Mul 2 1 /block_3/Add_output_0 /block_3/Sub_output_0 /block_3/Mul_output_0 0=2
40
+ Split splitncnn_6 1 2 /block_3/Mul_output_0 /block_3/Mul_output_0_splitncnn_0 /block_3/Mul_output_0_splitncnn_1
41
+ Convolution /block_4/c1_r/eval_conv/Conv 1 1 /block_3/Mul_output_0_splitncnn_1 /block_4/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
42
+ Swish /block_4/act1/Mul 1 1 /block_4/c1_r/eval_conv/Conv_output_0 /block_4/act1/Mul_output_0
43
+ Convolution /block_4/c2_r/eval_conv/Conv 1 1 /block_4/act1/Mul_output_0 /block_4/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
44
+ Swish /block_4/act1_1/Mul 1 1 /block_4/c2_r/eval_conv/Conv_output_0 /block_4/act1_1/Mul_output_0
45
+ Convolution /block_4/c3_r/eval_conv/Conv 1 1 /block_4/act1_1/Mul_output_0 /block_4/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
46
+ Split splitncnn_7 1 2 /block_4/c3_r/eval_conv/Conv_output_0 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_1
47
+ Sigmoid /block_4/Sigmoid 1 1 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_4/Sigmoid_output_0
48
+ BinaryOp /block_4/Sub 1 1 /block_4/Sigmoid_output_0 /block_4/Sub_output_0 0=1 1=1 2=5.000000e-01
49
+ BinaryOp /block_4/Add 2 1 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_3/Mul_output_0_splitncnn_0 /block_4/Add_output_0
50
+ BinaryOp /block_4/Mul 2 1 /block_4/Add_output_0 /block_4/Sub_output_0 /block_4/Mul_output_0 0=2
51
+ Split splitncnn_8 1 2 /block_4/Mul_output_0 /block_4/Mul_output_0_splitncnn_0 /block_4/Mul_output_0_splitncnn_1
52
+ Convolution /block_5/c1_r/eval_conv/Conv 1 1 /block_4/Mul_output_0_splitncnn_1 /block_5/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
53
+ Swish /block_5/act1/Mul 1 1 /block_5/c1_r/eval_conv/Conv_output_0 /block_5/act1/Mul_output_0
54
+ Convolution /block_5/c2_r/eval_conv/Conv 1 1 /block_5/act1/Mul_output_0 /block_5/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
55
+ Swish /block_5/act1_1/Mul 1 1 /block_5/c2_r/eval_conv/Conv_output_0 /block_5/act1_1/Mul_output_0
56
+ Convolution /block_5/c3_r/eval_conv/Conv 1 1 /block_5/act1_1/Mul_output_0 /block_5/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
57
+ Split splitncnn_9 1 2 /block_5/c3_r/eval_conv/Conv_output_0 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_1
58
+ Sigmoid /block_5/Sigmoid 1 1 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_5/Sigmoid_output_0
59
+ BinaryOp /block_5/Sub 1 1 /block_5/Sigmoid_output_0 /block_5/Sub_output_0 0=1 1=1 2=5.000000e-01
60
+ BinaryOp /block_5/Add 2 1 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_4/Mul_output_0_splitncnn_0 /block_5/Add_output_0
61
+ BinaryOp /block_5/Mul 2 1 /block_5/Add_output_0 /block_5/Sub_output_0 /block_5/Mul_output_0 0=2
62
+ Split splitncnn_10 1 2 /block_5/Mul_output_0 /block_5/Mul_output_0_splitncnn_0 /block_5/Mul_output_0_splitncnn_1
63
+ Convolution /block_6/c1_r/eval_conv/Conv 1 1 /block_5/Mul_output_0_splitncnn_1 /block_6/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
64
+ Swish /block_6/act1/Mul 1 1 /block_6/c1_r/eval_conv/Conv_output_0 /block_6/act1/Mul_output_0
65
+ Split splitncnn_11 1 2 /block_6/act1/Mul_output_0 /block_6/act1/Mul_output_0_splitncnn_0 /block_6/act1/Mul_output_0_splitncnn_1
66
+ Convolution /block_6/c2_r/eval_conv/Conv 1 1 /block_6/act1/Mul_output_0_splitncnn_1 /block_6/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
67
+ Swish /block_6/act1_1/Mul 1 1 /block_6/c2_r/eval_conv/Conv_output_0 /block_6/act1_1/Mul_output_0
68
+ Convolution /block_6/c3_r/eval_conv/Conv 1 1 /block_6/act1_1/Mul_output_0 /block_6/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
69
+ Split splitncnn_12 1 2 /block_6/c3_r/eval_conv/Conv_output_0 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_1
70
+ Sigmoid /block_6/Sigmoid 1 1 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_6/Sigmoid_output_0
71
+ BinaryOp /block_6/Sub 1 1 /block_6/Sigmoid_output_0 /block_6/Sub_output_0 0=1 1=1 2=5.000000e-01
72
+ BinaryOp /block_6/Add 2 1 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_5/Mul_output_0_splitncnn_0 /block_6/Add_output_0
73
+ BinaryOp /block_6/Mul 2 1 /block_6/Add_output_0 /block_6/Sub_output_0 /block_6/Mul_output_0 0=2
74
+ Convolution /conv_2/eval_conv/Conv 1 1 /block_6/Mul_output_0 /conv_2/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
75
+ Concat /Concat 4 1 /conv_1/eval_conv/Conv_output_0_splitncnn_0 /conv_2/eval_conv/Conv_output_0 /block_1/Mul_output_0_splitncnn_0 /block_6/act1/Mul_output_0_splitncnn_0 /Concat_output_0
76
+ Convolution /conv_cat/Conv 1 1 /Concat_output_0 /conv_cat/Conv_output_0 0=48 1=1 5=1 6=9216
77
+ Convolution /upsampler/upsampler.0/Conv 1 1 /conv_cat/Conv_output_0 /upsampler/upsampler.0/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
78
+ PixelShuffle /upsampler/upsampler.1/DepthToSpace 1 1 /upsampler/upsampler.0/Conv_output_0 output 0=4
upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1_Soft-fp32.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d59adec28ab12d023e1fe504d4da3cd3cc3fe7f6fd4f63ec55e13dd001771d5c
3
+ size 1705240
upscale_models/ClearRealityV1/BROKEN_NCNN/4x-ClearRealityV1_Soft-fp32.param ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 7767517
2
+ 77 92
3
+ Input data 0 1 data
4
+ BinaryOp /Sub 2 1 data /Constant_output_0 /Sub_output_0 0=1
5
+ BinaryOp /Mul 1 1 /Sub_output_0 /Mul_output_0 0=2 1=1 2=2.550000e+02
6
+ Convolution /conv_1/eval_conv/Conv 1 1 /Mul_output_0 /conv_1/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=1296
7
+ Split splitncnn_0 1 3 /conv_1/eval_conv/Conv_output_0 /conv_1/eval_conv/Conv_output_0_splitncnn_0 /conv_1/eval_conv/Conv_output_0_splitncnn_1 /conv_1/eval_conv/Conv_output_0_splitncnn_2
8
+ Convolution /block_1/c1_r/eval_conv/Conv 1 1 /conv_1/eval_conv/Conv_output_0_splitncnn_2 /block_1/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
9
+ Swish /block_1/act1/Mul 1 1 /block_1/c1_r/eval_conv/Conv_output_0 /block_1/act1/Mul_output_0
10
+ Convolution /block_1/c2_r/eval_conv/Conv 1 1 /block_1/act1/Mul_output_0 /block_1/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
11
+ Swish /block_1/act1_1/Mul 1 1 /block_1/c2_r/eval_conv/Conv_output_0 /block_1/act1_1/Mul_output_0
12
+ Convolution /block_1/c3_r/eval_conv/Conv 1 1 /block_1/act1_1/Mul_output_0 /block_1/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
13
+ Split splitncnn_1 1 2 /block_1/c3_r/eval_conv/Conv_output_0 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_1
14
+ Sigmoid /block_1/Sigmoid 1 1 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_1/Sigmoid_output_0
15
+ BinaryOp /block_1/Sub 1 1 /block_1/Sigmoid_output_0 /block_1/Sub_output_0 0=1 1=1 2=5.000000e-01
16
+ BinaryOp /block_1/Add 2 1 /block_1/c3_r/eval_conv/Conv_output_0_splitncnn_0 /conv_1/eval_conv/Conv_output_0_splitncnn_1 /block_1/Add_output_0
17
+ BinaryOp /block_1/Mul 2 1 /block_1/Add_output_0 /block_1/Sub_output_0 /block_1/Mul_output_0 0=2
18
+ Split splitncnn_2 1 3 /block_1/Mul_output_0 /block_1/Mul_output_0_splitncnn_0 /block_1/Mul_output_0_splitncnn_1 /block_1/Mul_output_0_splitncnn_2
19
+ Convolution /block_2/c1_r/eval_conv/Conv 1 1 /block_1/Mul_output_0_splitncnn_2 /block_2/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
20
+ Swish /block_2/act1/Mul 1 1 /block_2/c1_r/eval_conv/Conv_output_0 /block_2/act1/Mul_output_0
21
+ Convolution /block_2/c2_r/eval_conv/Conv 1 1 /block_2/act1/Mul_output_0 /block_2/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
22
+ Swish /block_2/act1_1/Mul 1 1 /block_2/c2_r/eval_conv/Conv_output_0 /block_2/act1_1/Mul_output_0
23
+ Convolution /block_2/c3_r/eval_conv/Conv 1 1 /block_2/act1_1/Mul_output_0 /block_2/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
24
+ Split splitncnn_3 1 2 /block_2/c3_r/eval_conv/Conv_output_0 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_1
25
+ Sigmoid /block_2/Sigmoid 1 1 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_2/Sigmoid_output_0
26
+ BinaryOp /block_2/Sub 1 1 /block_2/Sigmoid_output_0 /block_2/Sub_output_0 0=1 1=1 2=5.000000e-01
27
+ BinaryOp /block_2/Add 2 1 /block_2/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_1/Mul_output_0_splitncnn_1 /block_2/Add_output_0
28
+ BinaryOp /block_2/Mul 2 1 /block_2/Add_output_0 /block_2/Sub_output_0 /block_2/Mul_output_0 0=2
29
+ Split splitncnn_4 1 2 /block_2/Mul_output_0 /block_2/Mul_output_0_splitncnn_0 /block_2/Mul_output_0_splitncnn_1
30
+ Convolution /block_3/c1_r/eval_conv/Conv 1 1 /block_2/Mul_output_0_splitncnn_1 /block_3/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
31
+ Swish /block_3/act1/Mul 1 1 /block_3/c1_r/eval_conv/Conv_output_0 /block_3/act1/Mul_output_0
32
+ Convolution /block_3/c2_r/eval_conv/Conv 1 1 /block_3/act1/Mul_output_0 /block_3/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
33
+ Swish /block_3/act1_1/Mul 1 1 /block_3/c2_r/eval_conv/Conv_output_0 /block_3/act1_1/Mul_output_0
34
+ Convolution /block_3/c3_r/eval_conv/Conv 1 1 /block_3/act1_1/Mul_output_0 /block_3/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
35
+ Split splitncnn_5 1 2 /block_3/c3_r/eval_conv/Conv_output_0 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_1
36
+ Sigmoid /block_3/Sigmoid 1 1 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_3/Sigmoid_output_0
37
+ BinaryOp /block_3/Sub 1 1 /block_3/Sigmoid_output_0 /block_3/Sub_output_0 0=1 1=1 2=5.000000e-01
38
+ BinaryOp /block_3/Add 2 1 /block_3/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_2/Mul_output_0_splitncnn_0 /block_3/Add_output_0
39
+ BinaryOp /block_3/Mul 2 1 /block_3/Add_output_0 /block_3/Sub_output_0 /block_3/Mul_output_0 0=2
40
+ Split splitncnn_6 1 2 /block_3/Mul_output_0 /block_3/Mul_output_0_splitncnn_0 /block_3/Mul_output_0_splitncnn_1
41
+ Convolution /block_4/c1_r/eval_conv/Conv 1 1 /block_3/Mul_output_0_splitncnn_1 /block_4/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
42
+ Swish /block_4/act1/Mul 1 1 /block_4/c1_r/eval_conv/Conv_output_0 /block_4/act1/Mul_output_0
43
+ Convolution /block_4/c2_r/eval_conv/Conv 1 1 /block_4/act1/Mul_output_0 /block_4/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
44
+ Swish /block_4/act1_1/Mul 1 1 /block_4/c2_r/eval_conv/Conv_output_0 /block_4/act1_1/Mul_output_0
45
+ Convolution /block_4/c3_r/eval_conv/Conv 1 1 /block_4/act1_1/Mul_output_0 /block_4/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
46
+ Split splitncnn_7 1 2 /block_4/c3_r/eval_conv/Conv_output_0 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_1
47
+ Sigmoid /block_4/Sigmoid 1 1 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_4/Sigmoid_output_0
48
+ BinaryOp /block_4/Sub 1 1 /block_4/Sigmoid_output_0 /block_4/Sub_output_0 0=1 1=1 2=5.000000e-01
49
+ BinaryOp /block_4/Add 2 1 /block_4/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_3/Mul_output_0_splitncnn_0 /block_4/Add_output_0
50
+ BinaryOp /block_4/Mul 2 1 /block_4/Add_output_0 /block_4/Sub_output_0 /block_4/Mul_output_0 0=2
51
+ Split splitncnn_8 1 2 /block_4/Mul_output_0 /block_4/Mul_output_0_splitncnn_0 /block_4/Mul_output_0_splitncnn_1
52
+ Convolution /block_5/c1_r/eval_conv/Conv 1 1 /block_4/Mul_output_0_splitncnn_1 /block_5/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
53
+ Swish /block_5/act1/Mul 1 1 /block_5/c1_r/eval_conv/Conv_output_0 /block_5/act1/Mul_output_0
54
+ Convolution /block_5/c2_r/eval_conv/Conv 1 1 /block_5/act1/Mul_output_0 /block_5/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
55
+ Swish /block_5/act1_1/Mul 1 1 /block_5/c2_r/eval_conv/Conv_output_0 /block_5/act1_1/Mul_output_0
56
+ Convolution /block_5/c3_r/eval_conv/Conv 1 1 /block_5/act1_1/Mul_output_0 /block_5/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
57
+ Split splitncnn_9 1 2 /block_5/c3_r/eval_conv/Conv_output_0 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_1
58
+ Sigmoid /block_5/Sigmoid 1 1 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_5/Sigmoid_output_0
59
+ BinaryOp /block_5/Sub 1 1 /block_5/Sigmoid_output_0 /block_5/Sub_output_0 0=1 1=1 2=5.000000e-01
60
+ BinaryOp /block_5/Add 2 1 /block_5/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_4/Mul_output_0_splitncnn_0 /block_5/Add_output_0
61
+ BinaryOp /block_5/Mul 2 1 /block_5/Add_output_0 /block_5/Sub_output_0 /block_5/Mul_output_0 0=2
62
+ Split splitncnn_10 1 2 /block_5/Mul_output_0 /block_5/Mul_output_0_splitncnn_0 /block_5/Mul_output_0_splitncnn_1
63
+ Convolution /block_6/c1_r/eval_conv/Conv 1 1 /block_5/Mul_output_0_splitncnn_1 /block_6/c1_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
64
+ Swish /block_6/act1/Mul 1 1 /block_6/c1_r/eval_conv/Conv_output_0 /block_6/act1/Mul_output_0
65
+ Split splitncnn_11 1 2 /block_6/act1/Mul_output_0 /block_6/act1/Mul_output_0_splitncnn_0 /block_6/act1/Mul_output_0_splitncnn_1
66
+ Convolution /block_6/c2_r/eval_conv/Conv 1 1 /block_6/act1/Mul_output_0_splitncnn_1 /block_6/c2_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
67
+ Swish /block_6/act1_1/Mul 1 1 /block_6/c2_r/eval_conv/Conv_output_0 /block_6/act1_1/Mul_output_0
68
+ Convolution /block_6/c3_r/eval_conv/Conv 1 1 /block_6/act1_1/Mul_output_0 /block_6/c3_r/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
69
+ Split splitncnn_12 1 2 /block_6/c3_r/eval_conv/Conv_output_0 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_1
70
+ Sigmoid /block_6/Sigmoid 1 1 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_1 /block_6/Sigmoid_output_0
71
+ BinaryOp /block_6/Sub 1 1 /block_6/Sigmoid_output_0 /block_6/Sub_output_0 0=1 1=1 2=5.000000e-01
72
+ BinaryOp /block_6/Add 2 1 /block_6/c3_r/eval_conv/Conv_output_0_splitncnn_0 /block_5/Mul_output_0_splitncnn_0 /block_6/Add_output_0
73
+ BinaryOp /block_6/Mul 2 1 /block_6/Add_output_0 /block_6/Sub_output_0 /block_6/Mul_output_0 0=2
74
+ Convolution /conv_2/eval_conv/Conv 1 1 /block_6/Mul_output_0 /conv_2/eval_conv/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
75
+ Concat /Concat 4 1 /conv_1/eval_conv/Conv_output_0_splitncnn_0 /conv_2/eval_conv/Conv_output_0 /block_1/Mul_output_0_splitncnn_0 /block_6/act1/Mul_output_0_splitncnn_0 /Concat_output_0
76
+ Convolution /conv_cat/Conv 1 1 /Concat_output_0 /conv_cat/Conv_output_0 0=48 1=1 5=1 6=9216
77
+ Convolution /upsampler/upsampler.0/Conv 1 1 /conv_cat/Conv_output_0 /upsampler/upsampler.0/Conv_output_0 0=48 1=3 4=1 5=1 6=20736
78
+ PixelShuffle /upsampler/upsampler.1/DepthToSpace 1 1 /upsampler/upsampler.0/Conv_output_0 output 0=4
upscale_models/ClearRealityV1/Configs/Dataset Destroyer/Late/config.ini ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [main]
2
+ input_folder = I:\Dataset\extend\hr\SSDIR
3
+ output_folder = I:\Dataset\extend\lr\SSDIR
4
+ # Output format for processed images (e.g., png, jpg)
5
+ #!! If you save in a lossy format here, your images will be compressed again on top of the compression settings below !!
6
+ output_format = png
7
+ # List of degradations to apply to images in specified order (e.g., blur,noise,compression,scale,quantization,unsharp_mask)
8
+ degradations = blur,noise,compression,scale
9
+ # Whether to randomize the order of degradations (True or False)
10
+ randomize = True
11
+ # Whether to print the degradations applied onto the image. Useful for testing.
12
+ print = False
13
+ # Wheter to print the degradations applied into a separate text file. Useful for dataset statistics.
14
+ textfile = False
15
+ # The path where the applied_degradations.txt text file will be generated (or appended to if exists), use if textfile = True
16
+ textfile_path = path\\to\\output
17
+
18
+ # Blur settings
19
+ [blur]
20
+ # List of available blur algorithms (e.g., average,gaussian,anisotropic)
21
+ algorithms = gaussian,anisotropic
22
+ # Whether to choose a random blur algorithm each time (True or False)
23
+ randomize = True
24
+ # Range of values for blur kernel size or standard deviation (e.g., 1,10)
25
+ range = 1,8
26
+ #Adjusts the scaling of the blur range. For average and gaussian, this will add 1 when the new value is even
27
+ scale_factor = 0.25
28
+
29
+ # Noise settings
30
+ [noise]
31
+ # List of available noise algorithms (e.g., uniform,gaussian,color,gray,simu_iso,salt-and-pepper)
32
+ algorithms = uniform,gaussian,color,gray
33
+ # Whether to choose a random noise algorithm each time (True or False)
34
+ randomize = True
35
+ # Range of values for noise intensity (e.g., 0,50) !!Do not go below 0!!
36
+ range = 0,4
37
+ # Adjusts the scaling of the noise range
38
+ scale_factor = 0.005
39
+ # Range of values for salt and pepper noise intensity (e.g., 0,50) !!Do not go below 0!!
40
+ sp_range = 1,2
41
+ # Adjusts the scaling of the salt and pepper noise range
42
+ sp_scale_factor = 0.02
43
+
44
+ # Configuration for quantization degradation
45
+ [quantization]
46
+ # List of available quantization algorithms (e.g., floyd_steinberg, jarvis_judice_ninke, stucki, atkinson, burkes, sierra, two_row_sierra, sierra_lite)
47
+ algorithms = floyd_steinberg,jarvis_judice_ninke,stucki,atkinson,burkes,sierra,two_row_sierra,sierra_lite
48
+ # Whether to choose a random quantization algorithm each time (True or False)
49
+ randomize = True
50
+ # Range of values for quantization levels (e.g., 2, 255)
51
+ range = 2, 255
52
+
53
+ # Compression settings
54
+ [compression]
55
+ # List of available compression algorithms (e.g., mpeg,mpeg2,h264,hevc,jpeg,webp,vp9)
56
+ # Using more intensive codecs (such as vp9) in combination with other degradations may result in ffmpeg errors
57
+ algorithms = h264,hevc,jpeg
58
+ # Whether to choose a random algorithm from the list
59
+ randomize = True
60
+ # JPEG Quality Levels
61
+ jpeg_quality_range = 70, 95
62
+ # WebP Quality levels
63
+ webp_quality_range = 45, 90
64
+ # H.264 video quality levels in CRF format
65
+ h264_crf_level_range = 16,26
66
+ # HEVC video quality levels in CRF format
67
+ hevc_crf_level_range = 18,28
68
+ # VP9 video quality levels in CRF format
69
+ vp9_crf_level_range = 25,35
70
+ # Bitrate control in kbps for MPEG codec
71
+ mpeg_bitrate_range = 3000,5000
72
+ # Bitrate control in kbps for MPEG-2 codec
73
+ mpeg2_bitrate_range = 2500,4500
74
+
75
+
76
+ # Scale settings
77
+ [scale]
78
+ # List of available scale algorithms (e.g., down_up,nearest,linear,cubic_catrom,cubic_mitchell,cubic_bspline,lanczos,gauss)
79
+ algorithms = down_up,nearest,linear,cubic_catrom,cubic_mitchell,cubic_bspline,lanczos,gauss
80
+ # List of available scale algorithms when applying down_up
81
+ down_up_algorithms = nearest,linear,cubic_catrom,cubic_mitchell,cubic_bspline,lanczos,gauss
82
+ # Whether to choose a random scale algorithm each time (True or False)
83
+ randomize = True
84
+ # Factor to scale your images to (e.g., 0.25, 0.50, 0.75) (0.25 = 25%, 0.50 = 50%)
85
+ size_factor = 0.25
86
+ # Range of values for down_up (e.g., 0.5,2.0) (0.5 = 50%, 2.0 = 200%)
87
+ range = 0.85,3
88
+
89
+ # Unsharp mask settings
90
+ [unsharp_mask]
91
+ # radius_range: Range for the Gaussian blur radius in pixels. Larger values result in less detail.
92
+ radius_range = 0.2, 0.5
93
+ # percent_range: Range for the amount of sharpening. Higher values result in more sharpening.
94
+ percent_range = 3, 15
95
+ # threshold_range: Range for the contrast threshold. Only details with contrast above this are enhanced.
96
+ threshold_range = 1, 3
upscale_models/ClearRealityV1/Configs/neoSR/Early/train_span.yml ADDED
@@ -0,0 +1,105 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # GENERATE TIME: Thu Dec 7 10:20:34 2023
2
+ # CMD:
3
+ # .\train.py -opt C:\Users\Kim\Downloads\neosr-master\options\train_span.yml --auto_resume
4
+
5
+
6
+ name: train_span
7
+ model_type: default
8
+ scale: 4
9
+ num_gpu: 1
10
+ use_amp: true
11
+ bfloat16: true
12
+ compile: false
13
+ #manual_seed: 1024
14
+
15
+ datasets:
16
+ train:
17
+ type: paired
18
+ dataroot_gt: 'I:\Dataset\UltraSharpV2\hr'
19
+ dataroot_lq: 'I:\Dataset\UltraSharpV2\lr'
20
+ meta_info: 'C:\Users\Kim\Downloads\neosr-master\dataset\util\output.txt'
21
+ io_backend:
22
+ type: disk
23
+
24
+ gt_size: 128
25
+ batch_size: 12
26
+ use_hflip: true
27
+ use_rot: true
28
+ num_worker_per_gpu: 6
29
+ dataset_enlarge_ratio: 5
30
+
31
+ path:
32
+ pretrain_network_g: 'C:\Users\Kim\Downloads\neosr-master\experiments\train_span_archived_20231207_085720\models\net_g_75000.pth'
33
+ #param_key_g: ~
34
+ #strict_load_g: false
35
+ #resume_state: 'C:\Users\Kim\Downloads\neosr-master\experiments\train_span\training_states\14000.state'
36
+
37
+ network_g:
38
+ type: span
39
+
40
+ network_d:
41
+ type: unet
42
+
43
+ train:
44
+ optim_g:
45
+ type: adamw
46
+ lr: !!float 1e-4
47
+ weight_decay: 0
48
+ betas: [0.9, 0.99]
49
+ optim_d:
50
+ type: adamw
51
+ lr: !!float 1e-4
52
+ weight_decay: 0
53
+ betas: [0.9, 0.99]
54
+
55
+ scheduler:
56
+ type: multisteplr
57
+ milestones: [60000, 120000]
58
+ gamma: 0.5
59
+
60
+ total_iter: 500000
61
+ warmup_iter: -1 # no warm up
62
+
63
+ # losses
64
+ pixel_opt:
65
+ type: HuberLoss
66
+ loss_weight: 1.0
67
+ perceptual_opt:
68
+ type: PerceptualLoss
69
+ layer_weights:
70
+ 'conv1_2': 0.1
71
+ 'conv2_2': 0.1
72
+ 'conv3_4': 1
73
+ 'conv4_4': 1
74
+ 'conv5_4': 1
75
+ perceptual_weight: 2
76
+ style_weight: 0
77
+ criterion: huber
78
+ gan_opt:
79
+ type: GANLoss
80
+ gan_type: vanilla
81
+ loss_weight: 0.05
82
+ color_opt:
83
+ type: colorloss
84
+ loss_weight: 2.5
85
+ criterion: huber
86
+ #ldl_opt:
87
+ # type: HuberLoss
88
+ # loss_weight: 1.0
89
+ # reduction: mean
90
+ #ff_opt:
91
+ # type: focalfrequencyloss
92
+ # loss_weight: 0.5
93
+
94
+ logger:
95
+ print_freq: 100
96
+ save_checkpoint_freq: 1000
97
+ use_tb_logger: true
98
+ #wandb:
99
+ # project: ~
100
+ # resume_id: ~
101
+
102
+ # dist training settings
103
+ #dist_params:
104
+ # backend: nccl
105
+ # port: 29500
upscale_models/ClearRealityV1/Configs/neoSR/Final/train_span.yml ADDED
@@ -0,0 +1,105 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # GENERATE TIME: Fri Dec 8 02:14:41 2023
2
+ # CMD:
3
+ # .\train.py -opt C:\Users\Kim\Downloads\neosr-master\options\train_span.yml
4
+
5
+
6
+ name: train_span
7
+ model_type: default
8
+ scale: 4
9
+ num_gpu: 1
10
+ use_amp: true
11
+ bfloat16: true
12
+ compile: false
13
+ #manual_seed: 1024
14
+
15
+ datasets:
16
+ train:
17
+ type: paired
18
+ dataroot_gt: 'I:\Dataset\UltraSharpV2\hr'
19
+ dataroot_lq: 'I:\Dataset\UltraSharpV2\lr'
20
+ meta_info: 'C:\Users\Kim\Downloads\neosr-master\dataset\util\output.txt'
21
+ io_backend:
22
+ type: disk
23
+
24
+ gt_size: 152
25
+ batch_size: 16
26
+ use_hflip: true
27
+ use_rot: true
28
+ num_worker_per_gpu: 6
29
+ dataset_enlarge_ratio: 5
30
+
31
+ path:
32
+ pretrain_network_g: 'C:\Users\Kim\Downloads\neosr-master\experiments\train_span high batch crop\models\net_g_26000.pth'
33
+ #param_key_g: ~
34
+ #strict_load_g: false
35
+ #resume_state: 'C:\Users\Kim\Downloads\neosr-master\experiments\train_span\training_states\14000.state'
36
+
37
+ network_g:
38
+ type: span
39
+
40
+ network_d:
41
+ type: unet
42
+
43
+ train:
44
+ optim_g:
45
+ type: adamw
46
+ lr: !!float 1e-4
47
+ weight_decay: 0
48
+ betas: [0.9, 0.99]
49
+ optim_d:
50
+ type: adamw
51
+ lr: !!float 1e-4
52
+ weight_decay: 0
53
+ betas: [0.9, 0.99]
54
+
55
+ scheduler:
56
+ type: multisteplr
57
+ milestones: [60000, 120000]
58
+ gamma: 0.5
59
+
60
+ total_iter: 100000
61
+ warmup_iter: -1 # no warm up
62
+
63
+ # losses
64
+ pixel_opt:
65
+ type: HuberLoss
66
+ loss_weight: 1.0
67
+ perceptual_opt:
68
+ type: PerceptualLoss
69
+ layer_weights:
70
+ 'conv1_2': 0.1
71
+ 'conv2_2': 0.1
72
+ 'conv3_4': 1
73
+ 'conv4_4': 1
74
+ 'conv5_4': 1
75
+ perceptual_weight: 2
76
+ style_weight: 0
77
+ criterion: huber
78
+ gan_opt:
79
+ type: GANLoss
80
+ gan_type: vanilla
81
+ loss_weight: 0.05
82
+ color_opt:
83
+ type: colorloss
84
+ loss_weight: 2.5
85
+ criterion: huber
86
+ #ldl_opt:
87
+ # type: HuberLoss
88
+ # loss_weight: 1.0
89
+ # reduction: mean
90
+ #ff_opt:
91
+ # type: focalfrequencyloss
92
+ # loss_weight: 0.5
93
+
94
+ logger:
95
+ print_freq: 100
96
+ save_checkpoint_freq: 1000
97
+ use_tb_logger: true
98
+ #wandb:
99
+ # project: ~
100
+ # resume_id: ~
101
+
102
+ # dist training settings
103
+ #dist_params:
104
+ # backend: nccl
105
+ # port: 29500
upscale_models/ClearRealityV1/Configs/neoSR/Mid-train/train_span.yml ADDED
@@ -0,0 +1,105 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # GENERATE TIME: Thu Dec 7 11:47:55 2023
2
+ # CMD:
3
+ # .\train.py -opt C:\Users\Kim\Downloads\neosr-master\options\train_span.yml
4
+
5
+
6
+ name: train_span
7
+ model_type: default
8
+ scale: 4
9
+ num_gpu: 1
10
+ use_amp: true
11
+ bfloat16: true
12
+ compile: false
13
+ #manual_seed: 1024
14
+
15
+ datasets:
16
+ train:
17
+ type: paired
18
+ dataroot_gt: 'I:\Dataset\UltraSharpV2\hr'
19
+ dataroot_lq: 'I:\Dataset\UltraSharpV2\lr'
20
+ meta_info: 'C:\Users\Kim\Downloads\neosr-master\dataset\util\output.txt'
21
+ io_backend:
22
+ type: disk
23
+
24
+ gt_size: 184
25
+ batch_size: 96
26
+ use_hflip: true
27
+ use_rot: true
28
+ num_worker_per_gpu: 6
29
+ dataset_enlarge_ratio: 5
30
+
31
+ path:
32
+ pretrain_network_g: 'C:\Users\Kim\Downloads\neosr-master\experiments\train_span_amazing\models\net_g_71000.pth'
33
+ #param_key_g: ~
34
+ #strict_load_g: false
35
+ #resume_state: 'C:\Users\Kim\Downloads\neosr-master\experiments\train_span\training_states\14000.state'
36
+
37
+ network_g:
38
+ type: span
39
+
40
+ network_d:
41
+ type: unet
42
+
43
+ train:
44
+ optim_g:
45
+ type: adamw
46
+ lr: !!float 1e-4
47
+ weight_decay: 0
48
+ betas: [0.9, 0.99]
49
+ optim_d:
50
+ type: adamw
51
+ lr: !!float 1e-4
52
+ weight_decay: 0
53
+ betas: [0.9, 0.99]
54
+
55
+ scheduler:
56
+ type: multisteplr
57
+ milestones: [60000, 120000]
58
+ gamma: 0.5
59
+
60
+ total_iter: 500000
61
+ warmup_iter: -1 # no warm up
62
+
63
+ # losses
64
+ pixel_opt:
65
+ type: HuberLoss
66
+ loss_weight: 1.0
67
+ perceptual_opt:
68
+ type: PerceptualLoss
69
+ layer_weights:
70
+ 'conv1_2': 0.1
71
+ 'conv2_2': 0.1
72
+ 'conv3_4': 1
73
+ 'conv4_4': 1
74
+ 'conv5_4': 1
75
+ perceptual_weight: 2
76
+ style_weight: 0
77
+ criterion: huber
78
+ gan_opt:
79
+ type: GANLoss
80
+ gan_type: vanilla
81
+ loss_weight: 0.05
82
+ color_opt:
83
+ type: colorloss
84
+ loss_weight: 2.5
85
+ criterion: huber
86
+ #ldl_opt:
87
+ # type: HuberLoss
88
+ # loss_weight: 1.0
89
+ # reduction: mean
90
+ #ff_opt:
91
+ # type: focalfrequencyloss
92
+ # loss_weight: 0.5
93
+
94
+ logger:
95
+ print_freq: 100
96
+ save_checkpoint_freq: 1000
97
+ use_tb_logger: true
98
+ #wandb:
99
+ # project: ~
100
+ # resume_id: ~
101
+
102
+ # dist training settings
103
+ #dist_params:
104
+ # backend: nccl
105
+ # port: 29500
upscale_models/ClearRealityV1/INFO.txt ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ @news @Wiki Editor
2
+ **Name:** ClearRealityV1 Soft + Normal
3
+ **License:** CC BY-NC-SA 4.0
4
+ **Link:** https://mega.nz/folder/Xc4wnC7T#yUS5-9-AbRxLhpdPW_8f2w
5
+ **Model Architecture:** SPAN
6
+ **Scale:** 4
7
+ **Purpose:** Realistic images of humans, foliage, trees, buildings, etc.
8
+
9
+ **Iterations:** 300k (over multiple models)
10
+ **batch_size:** 12-20
11
+ **HR_size:** 128-256
12
+ **Epoch:** 40?
13
+ **Dataset:** My own UltraSharpV2 dataset, my 8k dataset (v2), Nomos8k, and FaceUp
14
+ **Dataset_size:** 19k tiles
15
+ **OTF Training** No (made with datasetDestroyer)
16
+ **Pretrained_Model_G:** Official pretrain
17
+
18
+ **Description:** Nice to release a model again! This one is intended for realistic imagery, and works especially well on faces, hair, and nature shots. I trained this model on SPAN, which as of the time of release, you'll need chaiNNer-nightly for. I aimed for a softer, more natural look for this model with as few artifacts as possible.
19
+
20
+ In addition to the Normal model, I've included a "soft" model. The Soft model is... softer. Basically it was an earlier version of the model with a more limited dataset. It produces more natural output on games or rendered content, but suffers a bit more with realistic stuff.
21
+
22
+ Note: In shots with DOF (depth of field) or bokeh, unfortunately there will be artifacts. Sorry
upscale_models/ClearRealityV1/ONNX/Soft_fp16/4x-ClearRealityV1_Soft-fp16-opset14.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:722a5eb73ea17dd948023b1f84e323edb0926d7f05adfb4295feff1020f298bd
3
+ size 866325
upscale_models/ClearRealityV1/ONNX/Soft_fp16/4x-ClearRealityV1_Soft-fp16-opset15.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c0cdb17c88b815b6e3f96848cba1ec9228c42f20b90303995cc2a4e9db8ed86
3
+ size 866325
upscale_models/ClearRealityV1/ONNX/Soft_fp16/4x-ClearRealityV1_Soft-fp16-opset16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06825ea7d2d75276065bedcdc5110b2f0aef881c93415a2704a8abf5623c3ab2
3
+ size 866325
upscale_models/ClearRealityV1/ONNX/Soft_fp16/4x-ClearRealityV1_Soft-fp16-opset17.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:baec32e6e47da15b7a087f4c9f1011f56da9697df20029090a74a58d6f3a10a3
3
+ size 866325
upscale_models/ClearRealityV1/ONNX/Soft_fp32/4x-ClearRealityV1_Soft-fp32-opset14.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac4babc7321e6bcd4f9cbcf722cd83138c0cbb238a28ceb09b7734f01fc2a689
3
+ size 1718947
upscale_models/ClearRealityV1/ONNX/Soft_fp32/4x-ClearRealityV1_Soft-fp32-opset15.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8291d1d564a3a588c42b60cee7fc3740e4ead7772b46c5696946fcf4b6721a33
3
+ size 1718947
upscale_models/ClearRealityV1/ONNX/Soft_fp32/4x-ClearRealityV1_Soft-fp32-opset16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db13d7b32787754f8f5d667e429f9d631b3dc66587fde34138324b63971a7c89
3
+ size 1718947
upscale_models/ClearRealityV1/ONNX/Soft_fp32/4x-ClearRealityV1_Soft-fp32-opset17.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2cc924f6ff7ad908e03ea4efcea45aeaa6380a7859ccfccbf253192566dabb36
3
+ size 1718947
upscale_models/ClearRealityV1/ONNX/fp16/4x-ClearRealityV1-fp16-opset14.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c42a3bf070e7fb0ff861a22d945d1e4b1f48cc297898c10a23be8f9c3bd2b6b7
3
+ size 866325
upscale_models/ClearRealityV1/ONNX/fp16/4x-ClearRealityV1-fp16-opset15.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d6cedfb322693868f8fe027d43cf8e2769eea4293f9f9cf5c245d8ac2e06549f
3
+ size 866325
upscale_models/ClearRealityV1/ONNX/fp16/4x-ClearRealityV1-fp16-opset16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6234dda8104ad8ddab2fd00df71385f2cdaebf53985ba38b39b78430fd754280
3
+ size 866325
upscale_models/ClearRealityV1/ONNX/fp16/4x-ClearRealityV1-fp16-opset17.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d710126f970a66166553c9d69a6e04ecaa5af60a343b9d7b1736b407e84961a
3
+ size 866325
upscale_models/ClearRealityV1/ONNX/fp32/4x-ClearRealityV1-fp32-opset14.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbcda9f96b9682f38861259754e380fb2755f1d8b9b798df489d65641c947b13
3
+ size 1718947
upscale_models/ClearRealityV1/ONNX/fp32/4x-ClearRealityV1-fp32-opset15.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91cd705a887251a7375194389e4425d3227f84dddad7ca9cee2cac683666d3bc
3
+ size 1718947
upscale_models/ClearRealityV1/ONNX/fp32/4x-ClearRealityV1-fp32-opset16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47380a1e78fd2619c1e78611cdc728f26d2dad43598d568d817c140d0514593d
3
+ size 1718947
upscale_models/ClearRealityV1/ONNX/fp32/4x-ClearRealityV1-fp32-opset17.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bbce9d5a653281cfae07788d620bd4ec45712709bdf6349a06a893159efd97ce
3
+ size 1718947
upscale_models/put_esrgan_and_other_upscale_models_here ADDED
File without changes