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zelenooki87

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zelenooki87
Jun 18th, 2025
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  1. {
  2. "jsonVersion": "1.0.0",
  3. "version": "3",
  4. "uiVersion": "2",
  5. "minAppVersion": "0",
  6. "minCMLMacVersion": 10.16,
  7. "shortName": "ggnv2",
  8. "blockOverlap": 32,
  9. "blockDiscard": 4,
  10. "enabled": 1,
  11. "keepColor": 0,
  12. "name": "Standard V2",
  13. "category": "Enhance",
  14. "verb": "Enhancing",
  15. "autoModel": "ggn_ap",
  16. "cli": {
  17. "aliases": ["std", "standard"],
  18. "params": {
  19. "param1": "denoise",
  20. "param2": "sharpen",
  21. "param3": "compression"
  22. }
  23. },
  24. "gui": {
  25. "minScale": 1,
  26. "maxScale": 4,
  27. "showScale": 0,
  28. "name": "Gigapixel Standard",
  29. "displayPri": 3.0,
  30. "desc": "Gigapixel Standard model",
  31. "parameters": {
  32. "scale": {
  33. "default": 1
  34. },
  35. "param1": {
  36. "name": "Remove Noise",
  37. "guiType": "int",
  38. "default": 0,
  39. "guiMax": 100,
  40. "guiMin": 0,
  41. "description": "Reduce the noise. Higher values produce a cleaner image but may remove details.",
  42. "precision": 1,
  43. "modelMax": 1,
  44. "modelMin": 0,
  45. "modelType": "float"
  46. },
  47. "param2": {
  48. "name": "Sharpen",
  49. "guiType": "int",
  50. "default": 0,
  51. "guiMax": 100,
  52. "guiMin": 0,
  53. "description": "Additional sharpening. Higher values produce a sharper image but may introduce artifacts.",
  54. "precision": 1,
  55. "modelMax": 1,
  56. "modelMin": 0,
  57. "modelType": "float"
  58. },
  59. "param3": {
  60. "name": "Remove Compression",
  61. "guiType": "int",
  62. "default": 0.3,
  63. "guiMax": 100,
  64. "guiMin": 0,
  65. "description": "Reduce blockiness and compression artifacts. Higher values produce a cleaner image but may introduce distortion.",
  66. "precision": 1,
  67. "modelMax": 1,
  68. "modelMin": 0,
  69. "modelType": "float"
  70. }
  71. }
  72. },
  73. "inputs": {
  74. "param1": "pb",
  75. "param2": "pn",
  76. "param3": "pc",
  77. "input": "netInput",
  78. "cinput": "infer_input",
  79. "output": "infer_output",
  80. "gamma": "dummy"
  81. },
  82. "backends": {
  83. "tensorrt": {
  84. "model": "imcc",
  85. "parallel": 0,
  86. "capabilities": [705, 806, 809, 1200],
  87. "scales": {
  88. "2": {
  89. "nets": [
  90. "[N]-v[V]-fp32-[H]x[W]-[S]x-rt[C]-[R]-rt.tz2",
  91. "gclc-v1-fp32-[H]x[W]-[S]x-rt[C]-[R]-rt.tz2"
  92. ],
  93. "blocks": [128,128],
  94. "outputs": [
  95. "netOutput",
  96. "tf.clip_by_value"
  97. ]
  98. },
  99. "4": {
  100. "nets": [
  101. "[N]-v[V]-fp32-[H]x[W]-[S]x-rt[C]-[R]-rt.tz2",
  102. "gclc-v1-fp32-[H]x[W]-[S]x-rt[C]-[R]-rt.tz2"
  103. ],
  104. "blocks": [128,128],
  105. "outputs": [
  106. "netOutput",
  107. "tf.clip_by_value"
  108. ]
  109. }
  110. }
  111. }
  112. }
  113. }
  114.  
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