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				"strength": -1
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			"type": "normal_map2"
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			"type": "fast_blur"
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					"from": "voronoi_3",
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					"to": "buffer_5",
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				{
					"from": "voronoi_2",
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			"label": "HBAO",
			"longdesc": "",
			"name": "graph_6",
			"node_position": {
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				"y": -410.297119
			},
			"nodes": [
				{
					"name": "voronoi_3",
					"node_position": {
						"x": -600.80072,
						"y": -894.601807
					},
					"parameters": {
						"angleBiasDeg": 15,
						"depth_scale": 0.08,
						"intensity": 2,
						"quality": 4,
						"radius": 0.1
					},
					"seed": 49449,
					"shader_model": {
						"code": "",
						"global": "",
						"inputs": [
							{
								"default": "0.0",
								"function": true,
								"label": "",
								"name": "in",
								"type": "f"
							}
						],
						"instance": "//inspired by:\n//http://developer.download.nvidia.com/presentations/2008/SIGGRAPH/HBAO_SIG08b.pdf\n//https://gist.github.com/dotModded/981206ae1f4e760b7348\n//https://github.com/scanberg/hbao/blob/master/resources/shaders/hbao_full_frag.glsl\n//radius - radius of influence in screen space\n//angleBiasDeg - ~minimum angle for AO\n//intensity - increase strength of caclulated AO\n//noiseScale - for randomization values\nfloat $(name)_hbao(vec2 uv, float radius, float angleBiasDeg, float intensity, vec2 noiseScale) {\n  int samplig_directions = 8;\n  int steps = int($quality);\n\n  float angleBias = 0.0174532925 * angleBiasDeg;\n\n  vec3 c_point = vec3(uv*2.0 - 1.0, $in(uv)*$depth_scale);\n  //fun with dfdx & dfdy - https://community.khronos.org/t/getting-the-normal-with-dfdx-and-dfdy/70177\n  vec3 c_normal = normalize(cross(dFdx(c_point), dFdy(c_point)));\n\n\n  float cosMaxRot = cos(6.28318530718 / float(samplig_directions));\n  float sinMaxROt = sin(6.28318530718 / float(samplig_directions));\n  \n  // it should be faster than standard rotation in each iteartion\n  mat2 deltaRotationMatrix = mat2(\n\tvec2(cosMaxRot, -sinMaxROt),\n\tvec2(sinMaxROt, cosMaxRot)\n  );\n  \n  // calculate starting offset, as the smallest step\n  vec2 offset_uv = vec2(1.0, 0.0) * (radius /float(steps));\n\n  //randomize angle\n  vec3 sampleNoise\t= rand3(uv * noiseScale);\n  sampleNoise.xy\t  = sampleNoise.xy * 2.0 - vec2(1.0);\n  mat2 rotationMatrix = mat2(vec2(sampleNoise.x, -sampleNoise.y), \n\t\t\t\t\t\t\t vec2(sampleNoise.y,  sampleNoise.x));\n  \n  // apply a random rotation to the base step vector\n  offset_uv = rotationMatrix * offset_uv;\n  \n  float jitter = sampleNoise.z;\n  float occlusion = 0.0;\n  \n  for (int i = 0; i < samplig_directions; ++i) {\n\t// incrementally rotate sample direction\n\toffset_uv = deltaRotationMatrix * offset_uv;\n\tfloat oldAngle   = angleBias;\n\tfor (int j = 0; j < steps; ++j) {\n\t  //add jitter & distance to offset UV\n\t  vec2 sample_uv\t = uv + (jitter + float(j)) * offset_uv;\n\t  vec3 s_point\t = vec3(sample_uv*2.0 - 1.0, $in(sample_uv)*$depth_scale);\n\t  vec3 sample_tan  = (s_point - c_point); //not sure if correct, but looks ok\n\t  // 90 deg - (angle between normal from current point &  sampled tangent)\n\t  //https://math.stackexchange.com/questions/654315/how-to-convert-a-dot-product-of-two-vectors-to-the-angle-between-the-vectors\n\t  float gamma = 1.57079632679 - acos(dot(c_normal, normalize(sample_tan)));\n\t  \n\t  if (gamma > oldAngle) {\n\t\tfloat value = sin(gamma) - sin(oldAngle);\n\t\tfloat attenuation = clamp(1.0 - pow(length(sample_tan.xy)/radius, 2.0), 0.0, 1.0);\n\t\tocclusion += attenuation * value;\n\t\t//occlusion += value;\n\t\toldAngle = gamma;\n\t  }\n\t}\n  }\n  \n  occlusion = 1.0 - occlusion / float(samplig_directions);\n  return clamp(pow(occlusion, 1.0 + intensity), 0.0, 1.0);\n}",
						"longdesc": "A node that generates several images from a tileable voronoi noise",
						"name": "HBAO",
						"outputs": [
							{
								"f": "$(name)_hbao($uv,$radius, $angleBiasDeg, $intensity, vec2(16.0,16.0))",
								"longdesc": "A color pattern that assigns a random color to each cell",
								"shortdesc": "Random color",
								"type": "f"
							}
						],
						"parameters": [
							{
								"control": "None",
								"default": 0.01,
								"label": "Radius",
								"longdesc": "The scale along the X axis",
								"max": 1,
								"min": 0,
								"name": "radius",
								"shortdesc": "Scale.x",
								"step": 0.01,
								"type": "float"
							},
							{
								"control": "None",
								"default": 30,
								"label": "Angle Bias",
								"longdesc": "Angle bias for AO",
								"max": 90,
								"min": 0,
								"name": "angleBiasDeg",
								"shortdesc": "Angle Bias",
								"step": 1,
								"type": "float"
							},
							{
								"control": "None",
								"default": 0.2,
								"label": "Intensity",
								"longdesc": "Change intensity of AO",
								"max": 5,
								"min": 0,
								"name": "intensity",
								"shortdesc": "Intensity",
								"step": 0.01,
								"type": "float"
							},
							{
								"control": "None",
								"default": 1,
								"label": "Depth Scale",
								"longdesc": "Lineary scales depth values afecting  cacluated normals & tangents",
								"max": 1,
								"min": 0,
								"name": "depth_scale",
								"shortdesc": "Depth Scale",
								"step": 0.01,
								"type": "float"
							},
							{
								"control": "None",
								"default": 4,
								"label": "Steps",
								"longdesc": "Steps in given direction per ray",
								"max": 12,
								"min": 1,
								"name": "quality",
								"shortdesc": "Quality",
								"step": 1,
								"type": "float"
							}
						],
						"shortdesc": "Voronoi Noise"
					},
					"type": "shader"
				},
				{
					"name": "gen_inputs",
					"node_position": {
						"x": -1338.030762,
						"y": -788.080872
					},
					"parameters": {

					},
					"ports": [
						{
							"group_size": 0,
							"longdesc": "Greyscale heightmap",
							"name": "input",
							"shortdesc": "Input",
							"type": "f"
						}
					],
					"seed": 43798,
					"type": "ios"
				},
				{
					"name": "gen_outputs",
					"node_position": {
						"x": -902.684204,
						"y": -327.282288
					},
					"parameters": {

					},
					"ports": [
						{
							"group_size": 0,
							"longdesc": "",
							"name": "port0",
							"shortdesc": "AO",
							"type": "f"
						}
					],
					"seed": 42623,
					"type": "ios"
				},
				{
					"name": "gen_parameters",
					"node_position": {
						"x": -1488.979004,
						"y": -561.71167
					},
					"parameters": {
						"param0": 10,
						"param1": 0.1,
						"param2": 15,
						"param3": 0.08,
						"param4": 4,
						"param5": 2
					},
					"seed": 58911,
					"type": "remote",
					"widgets": [
						{
							"label": "Size",
							"linked_widgets": [
								{
									"node": "voronoi_2",
									"widget": "size"
								},
								{
									"node": "buffer_2",
									"widget": "size"
								},
								{
									"node": "buffer_5",
									"widget": "size"
								},
								{
									"node": "buffer_7",
									"widget": "size"
								}
							],
							"name": "param0",
							"shortdesc": "Size",
							"type": "linked_control"
						},
						{
							"label": "Radius",
							"linked_widgets": [
								{
									"node": "voronoi_3",
									"widget": "radius"
								}
							],
							"longdesc": "Affected radius of point in UV size",
							"name": "param1",
							"shortdesc": "Radius",
							"type": "linked_control"
						},
						{
							"label": "Angle Bias",
							"linked_widgets": [
								{
									"node": "voronoi_3",
									"widget": "angleBiasDeg"
								}
							],
							"longdesc": "Minimum angle on heightmap for AO to occur. Angle is calculated in UV space, where depth (grayscale input) is scaled by \"Depth Scale\" parameter",
							"name": "param2",
							"shortdesc": "Angle bias",
							"type": "linked_control"
						},
						{
							"label": "Depth Scale",
							"linked_widgets": [
								{
									"node": "voronoi_3",
									"widget": "depth_scale"
								}
							],
							"longdesc": "Lineary scales depth values afecting  cacluated normals & tangents",
							"name": "param3",
							"shortdesc": "Depth Scale",
							"type": "linked_control"
						},
						{
							"label": "Quality",
							"linked_widgets": [
								{
									"node": "voronoi_3",
									"widget": "quality"
								}
							],
							"longdesc": "Number of steps per direction sampling",
							"name": "param4",
							"shortdesc": "Quality",
							"type": "linked_control"
						},
						{
							"label": "Intensity",
							"linked_widgets": [
								{
									"node": "voronoi_3",
									"widget": "intensity"
								}
							],
							"longdesc": "Change intensity of calculated AO",
							"name": "param5",
							"shortdesc": "Intensity",
							"type": "linked_control"
						}
					]
				},
				{
					"name": "voronoi_2",
					"node_position": {
						"x": -710.111145,
						"y": -596.459534
					},
					"parameters": {
						"ksigma": 4,
						"sigma": 3,
						"size": 10,
						"threshold": 0.7
					},
					"seed": 38722,
					"shader_model": {
						"code": "",
						"global": "",
						"inputs": [
							{
								"default": "0.0",
								"function": true,
								"label": "",
								"name": "in",
								"type": "rgba"
							}
						],
						"instance": "//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n//  Copyright (c) 2018-2019 Michele Morrone\n//  All rights reserved.\n//\n//  https://michelemorrone.eu - https://BrutPitt.com\n//\n//  me@michelemorrone.eu - brutpitt@gmail.com\n//  twitter: @BrutPitt - github: BrutPitt\n//  \n//  https://github.com/BrutPitt/glslSmartDeNoise/\n//\n//  This software is distributed under the terms of the BSD 2-Clause license\n//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n//  smartDeNoise - parameters\n//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n//\n//  sampler2D tex\t - sampler image / texture\n//  vec2 uv\t\t   - actual fragment coord\n//  float sigma  >  0 - sigma Standard Deviation\n//  float kSigma >= 0 - sigma coefficient \n//\t  kSigma * sigma  -->  radius of the circular kernel\n//  float threshold   - edge sharpening threshold \nvec4 $(name)_smartDeNoise(vec2 uv, float sigma, float kSigma, float threshold)\n{\n\tfloat INV_SQRT_OF_2PI = 0.39894228040143267793994605993439; // 1.0/SQRT_OF_2PI\n\tfloat INV_PI = 0.31830988618379067153776752674503;\n\tfloat radius = round(kSigma*sigma);\n\tfloat radQ = radius * radius;\n\n\tfloat invSigmaQx2 = .5 / (sigma * sigma);\t  // 1.0 / (sigma^2 * 2.0)\n\tfloat invSigmaQx2PI = INV_PI * invSigmaQx2;\t// 1/(2 * PI * sigma^2)\n\n\tfloat invThresholdSqx2 = .5 / (threshold * threshold);\t // 1.0 / (sigma^2 * 2.0)\n\tfloat invThresholdSqrt2PI = INV_SQRT_OF_2PI / threshold;   // 1.0 / (sqrt(2*PI) * sigma^2)\n\n\tvec4 centrPx = $in(uv); \n\n\tfloat zBuff = 0.0;\n\tvec4 aBuff = vec4(0.0);\n\tvec2 size = vec2($size, $size);\n\n\tvec2 d;\n\tfor (d.x=-radius; d.x <= radius; d.x++) {\n\t\tfloat pt = sqrt(radQ-d.x*d.x);\t   // pt = yRadius: have circular trend\n\t\tfor (d.y=-pt; d.y <= pt; d.y++) {\n\t\t\tfloat blurFactor = exp( -dot(d , d) * invSigmaQx2 ) * invSigmaQx2PI;\n\n\t\t\tvec4 walkPx =  $in(uv+d/size);\n\t\t\tvec4 dC = walkPx-centrPx;\n\t\t\tfloat deltaFactor = exp( -dot(dC, dC) * invThresholdSqx2) * invThresholdSqrt2PI * blurFactor;\n\n\t\t\tzBuff += deltaFactor;\n\t\t\taBuff += deltaFactor*walkPx;\n\t\t}\n\t}\n\treturn aBuff/zBuff;\n}",
						"longdesc": "A node that generates several images from a tileable voronoi noise",
						"name": "Denoiser",
						"outputs": [
							{
								"longdesc": "A color pattern that assigns a random color to each cell",
								"rgba": "$(name)_smartDeNoise($uv, $sigma, $ksigma, $threshold)",
								"shortdesc": "Random color",
								"type": "rgba"
							}
						],
						"parameters": [
							{
								"default": 10,
								"first": 0,
								"label": "size",
								"last": 12,
								"longdesc": "The scale along the X axis",
								"name": "size",
								"shortdesc": "Scale.x",
								"type": "size"
							},
							{
								"control": "None",
								"default": 0.5,
								"label": "Sigma",
								"max": 1,
								"min": 0.005,
								"name": "sigma",
								"step": 0.1,
								"type": "float"
							},
							{
								"control": "None",
								"default": 0.5,
								"label": "kSigma",
								"max": 1,
								"min": 0,
								"name": "ksigma",
								"step": 0.1,
								"type": "float"
							},
							{
								"control": "None",
								"default": 0.5,
								"label": "threshold",
								"max": 1,
								"min": 0,
								"name": "threshold",
								"step": 0.1,
								"type": "float"
							}
						],
						"shortdesc": "Voronoi Noise"
					},
					"type": "shader"
				},
				{
					"name": "buffer_5",
					"node_position": {
						"x": -931.449646,
						"y": -724.330017
					},
					"parameters": {
						"size": 10
					},
					"seed": 6771,
					"type": "buffer",
					"version": 1
				},
				{
					"name": "buffer_7",
					"node_position": {
						"x": -948.36377,
						"y": -449.796295
					},
					"parameters": {
						"size": 10
					},
					"seed": 16139,
					"type": "buffer",
					"version": 1
				},
				{
					"name": "buffer_2",
					"node_position": {
						"x": -976.009644,
						"y": -975.5
					},
					"parameters": {
						"size": 10
					},
					"seed": 42465,
					"type": "buffer",
					"version": 1
				}
			],
			"parameters": {
				"param0": 10,
				"param1": 0.1,
				"param2": 15,
				"param3": 0.08,
				"param4": 4,
				"param5": 2
			},
			"seed": 6741,
			"shortdesc": "",
			"type": "graph"
		},
		{
			"generic_size": 1,
			"name": "blend2_3",
			"node_position": {
				"x": 1737.70166,
				"y": -221.297119
			},
			"parameters": {
				"amount1": 1,
				"blend_type1": 2
			},
			"seed_int": 0,
			"type": "blend2"
		}
	],
	"parameters": {

	},
	"seed_int": 0,
	"shortdesc": "",
	"type": "graph"
}