ShellFurAdd-on/pattern_examples.ptex

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				"noise": 2,
				"persistence": 0.43,
				"scale_x": 22,
				"scale_y": 22
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			"shader_model": {
				"code": "",
				"global": "float fbm_value(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat p00 = rand(mod(o, size));\n\tfloat p01 = rand(mod(o + vec2(0.0, 1.0), size));\n\tfloat p10 = rand(mod(o + vec2(1.0, 0.0), size));\n\tfloat p11 = rand(mod(o + vec2(1.0, 1.0), size));\n\tvec2 t = f * f * (3.0 - 2.0 * f);\n\treturn mix(mix(p00, p10, t.x), mix(p01, p11, t.x), t.y);\n}\n\nfloat fbm_perlin(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat a00 = rand(mod(o, size)) * 6.28318530718;\n\tfloat a01 = rand(mod(o + vec2(0.0, 1.0), size)) * 6.28318530718;\n\tfloat a10 = rand(mod(o + vec2(1.0, 0.0), size)) * 6.28318530718;\n\tfloat a11 = rand(mod(o + vec2(1.0, 1.0), size)) * 6.28318530718;\n\tvec2 v00 = vec2(cos(a00), sin(a00));\n\tvec2 v01 = vec2(cos(a01), sin(a01));\n\tvec2 v10 = vec2(cos(a10), sin(a10));\n\tvec2 v11 = vec2(cos(a11), sin(a11));\n\tfloat p00 = dot(v00, f);\n\tfloat p01 = dot(v01, f - vec2(0.0, 1.0));\n\tfloat p10 = dot(v10, f - vec2(1.0, 0.0));\n\tfloat p11 = dot(v11, f - vec2(1.0, 1.0));\n\tvec2 t = f * f * (3.0 - 2.0 * f);\n\treturn 0.5 + mix(mix(p00, p10, t.x), mix(p01, p11, t.x), t.y);\n}\n\nfloat fbm_perlinabs(vec2 coord, vec2 size, float seed) {\n\treturn abs(2.0*fbm_perlin(coord, size, seed)-1.0);\n}\n\nfloat fbm_cellular(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = sqrt((f - node).x * (f - node).x + (f - node).y * (f - node).y);\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular2(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = sqrt((f - node).x * (f - node).x + (f - node).y * (f - node).y);\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n\nfloat fbm_cellular3(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size))*0.5 + vec2(x, y);\n\t\t\tfloat dist = abs((f - node).x) + abs((f - node).y);\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular4(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size))*0.5 + vec2(x, y);\n\t\t\tfloat dist = abs((f - node).x) + abs((f - node).y);\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n\nfloat fbm_cellular5(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = max(abs((f - node).x), abs((f - node).y));\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular6(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = max(abs((f - node).x), abs((f - node).y));\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n",
				"inputs": [

				],
				"instance": "vec3 $(name)_fbm(vec2 coord, vec2 size, int folds, int octaves, float persistence, float seed) {\n\tfloat normalize_factor = 0.0;\n\tfloat value = 0.0;\n\tfloat scale = 1.0;\n\tfloat simple_noise;\n\tfor (int i = 0; i < octaves; i++) {\n\t\tfloat noise = fbm_$noise(coord*size, size, seed);\n\t\tfor (int f = 0; f < folds; ++f) {\n\t\t\tnoise = abs(2.0*noise-1.0);\n\t\t}\n\t\tvalue += noise * scale;\n\t\tnormalize_factor += scale;\n\t\tsize *= 2.0;\n\t\tscale *= persistence;\n\t\tif (i == 0) {\n\t\t\tsimple_noise = value;\n\t\t}\n\t}\n\tfloat noise = value / normalize_factor;\n\treturn vec3(noise, simple_noise, 0.0);\n}\n",
				"longdesc": "Generates a noise made of several octaves of a simple noise",
				"name": "FBM",
				"outputs": [
					{
						"f": "$(name)_fbm($(uv), vec2($(scale_x), $(scale_y)), int($(folds)), int($(iterations)), $(persistence), float($(seed))).x",
						"longdesc": "Shows a greyscale image of the generated noise",
						"shortdesc": "Output",
						"type": "f"
					},
					{
						"f": "$(name)_fbm($(uv), vec2($(scale_x), $(scale_y)), int($(folds)), int($(iterations)), $(persistence), float($(seed))).y",
						"type": "f"
					}
				],
				"parameters": [
					{
						"default": 0,
						"label": "Noise",
						"longdesc": "The simple noise type",
						"name": "noise",
						"shortdesc": "Noise type",
						"type": "enum",
						"values": [
							{
								"name": "Value",
								"value": "value"
							},
							{
								"name": "Perlin",
								"value": "perlin"
							},
							{
								"name": "Cellular",
								"value": "cellular"
							},
							{
								"name": "Cellular2",
								"value": "cellular2"
							},
							{
								"name": "Cellular3",
								"value": "cellular3"
							},
							{
								"name": "Cellular4",
								"value": "cellular4"
							},
							{
								"name": "Cellular5",
								"value": "cellular5"
							},
							{
								"name": "Cellular6",
								"value": "cellular6"
							}
						]
					},
					{
						"control": "None",
						"default": 4,
						"label": "Scale X",
						"longdesc": "The scale of the first octave along the X axis",
						"max": 32,
						"min": 1,
						"name": "scale_x",
						"shortdesc": "Scale.x",
						"step": 1,
						"type": "float"
					},
					{
						"control": "None",
						"default": 4,
						"label": "Scale Y",
						"longdesc": "The scale of the first octave along the Y axis",
						"max": 32,
						"min": 1,
						"name": "scale_y",
						"shortdesc": "Scale.y",
						"step": 1,
						"type": "float"
					},
					{
						"control": "None",
						"default": 0,
						"label": "Folds",
						"longdesc": "The number of times the basic noise is folded",
						"max": 5,
						"min": 0,
						"name": "folds",
						"shortdesc": "Folds",
						"step": 1,
						"type": "float"
					},
					{
						"control": "None",
						"default": 3,
						"label": "Iterations",
						"longdesc": "The number of noise octaves",
						"max": 10,
						"min": 1,
						"name": "iterations",
						"shortdesc": "Octaves",
						"step": 1,
						"type": "float"
					},
					{
						"control": "None",
						"default": 0.5,
						"label": "Persistence",
						"longdesc": "The persistence between two consecutive octaves",
						"max": 1,
						"min": 0,
						"name": "persistence",
						"shortdesc": "Persistence",
						"step": 0.01,
						"type": "float"
					}
				],
				"shortdesc": "Fractional Brownian Motion Noise"
			},
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		{
			"name": "fbm_3",
			"node_position": {
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			"parameters": {
				"folds": 1,
				"iterations": 5,
				"noise": 2,
				"persistence": 0.5,
				"scale_x": 7,
				"scale_y": 7
			},
			"shader_model": {
				"code": "",
				"global": "float fbm_value(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat p00 = rand(mod(o, size));\n\tfloat p01 = rand(mod(o + vec2(0.0, 1.0), size));\n\tfloat p10 = rand(mod(o + vec2(1.0, 0.0), size));\n\tfloat p11 = rand(mod(o + vec2(1.0, 1.0), size));\n\tvec2 t = f * f * (3.0 - 2.0 * f);\n\treturn mix(mix(p00, p10, t.x), mix(p01, p11, t.x), t.y);\n}\n\nfloat fbm_perlin(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat a00 = rand(mod(o, size)) * 6.28318530718;\n\tfloat a01 = rand(mod(o + vec2(0.0, 1.0), size)) * 6.28318530718;\n\tfloat a10 = rand(mod(o + vec2(1.0, 0.0), size)) * 6.28318530718;\n\tfloat a11 = rand(mod(o + vec2(1.0, 1.0), size)) * 6.28318530718;\n\tvec2 v00 = vec2(cos(a00), sin(a00));\n\tvec2 v01 = vec2(cos(a01), sin(a01));\n\tvec2 v10 = vec2(cos(a10), sin(a10));\n\tvec2 v11 = vec2(cos(a11), sin(a11));\n\tfloat p00 = dot(v00, f);\n\tfloat p01 = dot(v01, f - vec2(0.0, 1.0));\n\tfloat p10 = dot(v10, f - vec2(1.0, 0.0));\n\tfloat p11 = dot(v11, f - vec2(1.0, 1.0));\n\tvec2 t = f * f * (3.0 - 2.0 * f);\n\treturn 0.5 + mix(mix(p00, p10, t.x), mix(p01, p11, t.x), t.y);\n}\n\nfloat fbm_perlinabs(vec2 coord, vec2 size, float seed) {\n\treturn abs(2.0*fbm_perlin(coord, size, seed)-1.0);\n}\n\nvec2 rgrad2(vec2 p, float rot) {\n\tfloat u = rand(p);\n\tu = fract(u) * 6.28318530718; // 2*pi\n\treturn vec2(cos(u), sin(u));\n}\n\nfloat fbm_simplex(vec2 coord, vec2 size, float seed) {\n\tcoord *= 2.0; // needed for it to tile\n\tcoord += rand2(vec2(float(seed), 1.0-float(seed))) + size;\n\tsize *= 2.0; // needed for it to tile\n\tcoord.y += 0.001;\n    vec2 uv = vec2(coord.x + coord.y*0.5, coord.y);\n    vec2 i0 = floor(uv);\n    vec2 f0 = fract(uv);\n    vec2 i1 = (f0.x > f0.y) ? vec2(1.0, 0.0) : vec2(0.0, 1.0);\n    vec2 p0 = vec2(i0.x - i0.y * 0.5, i0.y);\n    vec2 p1 = vec2(p0.x + i1.x - i1.y * 0.5, p0.y + i1.y);\n    vec2 p2 = vec2(p0.x + 0.5, p0.y + 1.0);\n    i1 = i0 + i1;\n    vec2 i2 = i0 + vec2(1.0, 1.0);\n    vec2 d0 = coord - p0;\n    vec2 d1 = coord - p1;\n    vec2 d2 = coord - p2;\n    vec3 xw = mod(vec3(p0.x, p1.x, p2.x), size.x);\n    vec3 yw = mod(vec3(p0.y, p1.y, p2.y), size.y);\n    vec3 iuw = xw + 0.5 * yw;\n    vec3 ivw = yw;\n    vec2 g0 = rgrad2(vec2(iuw.x, ivw.x), 0.0);\n    vec2 g1 = rgrad2(vec2(iuw.y, ivw.y), 0.0);\n    vec2 g2 = rgrad2(vec2(iuw.z, ivw.z), 0.0);\n    vec3 w = vec3(dot(g0, d0), dot(g1, d1), dot(g2, d2));\n    vec3 t = 0.8 - vec3(dot(d0, d0), dot(d1, d1), dot(d2, d2));\n    t = max(t, vec3(0.0));\n    vec3 t2 = t * t;\n    vec3 t4 = t2 * t2;\n    float n = dot(t4, w);\n    return 0.5 + 5.5 * n;\n}\n\nfloat fbm_cellular(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = sqrt((f - node).x * (f - node).x + (f - node).y * (f - node).y);\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular2(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = sqrt((f - node).x * (f - node).x + (f - node).y * (f - node).y);\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n\nfloat fbm_cellular3(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size))*0.5 + vec2(x, y);\n\t\t\tfloat dist = abs((f - node).x) + abs((f - node).y);\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular4(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size))*0.5 + vec2(x, y);\n\t\t\tfloat dist = abs((f - node).x) + abs((f - node).y);\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n\nfloat fbm_cellular5(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = max(abs((f - node).x), abs((f - node).y));\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular6(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = max(abs((f - node).x), abs((f - node).y));\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n",
				"inputs": [

				],
				"instance": "float $(name)_fbm(vec2 coord, vec2 size, int folds, int octaves, float persistence, float seed) {\n\tfloat normalize_factor = 0.0;\n\tfloat value = 0.0;\n\tfloat scale = 1.0;\n\tfor (int i = 0; i < octaves; i++) {\n\t\tfloat noise = fbm_$noise(coord*size, size, seed);\n\t\tfor (int f = 0; f < folds; ++f) {\n\t\t\tnoise = abs(2.0*noise-1.0);\n\t\t}\n\t\tvalue += noise * scale;\n\t\tnormalize_factor += scale;\n\t\tsize *= 2.0;\n\t\tscale *= persistence;\n\t}\n\treturn value / normalize_factor;\n}\n",
				"longdesc": "Generates a noise made of several octaves of a simple noise",
				"name": "FBM",
				"outputs": [
					{
						"f": "$(name)_fbm($(uv), vec2($(scale_x), $(scale_y)), int($(folds)), int($(iterations)), $(persistence), float($(seed)))",
						"longdesc": "Shows a greyscale image of the generated noise",
						"shortdesc": "Output",
						"type": "f"
					}
				],
				"parameters": [
					{
						"default": 2,
						"label": "Noise",
						"longdesc": "The simple noise type",
						"name": "noise",
						"shortdesc": "Noise type",
						"type": "enum",
						"values": [
							{
								"name": "Value",
								"value": "value"
							},
							{
								"name": "Perlin",
								"value": "perlin"
							},
							{
								"name": "Simplex",
								"value": "simplex"
							},
							{
								"name": "Cellular",
								"value": "cellular"
							},
							{
								"name": "Cellular2",
								"value": "cellular2"
							},
							{
								"name": "Cellular3",
								"value": "cellular3"
							},
							{
								"name": "Cellular4",
								"value": "cellular4"
							},
							{
								"name": "Cellular5",
								"value": "cellular5"
							},
							{
								"name": "Cellular6",
								"value": "cellular6"
							}
						]
					},
					{
						"control": "None",
						"default": 4,
						"label": "Scale X",
						"longdesc": "The scale of the first octave along the X axis",
						"max": 32,
						"min": 1,
						"name": "scale_x",
						"shortdesc": "Scale.x",
						"step": 1,
						"type": "float"
					},
					{
						"control": "None",
						"default": 4,
						"label": "Scale Y",
						"longdesc": "The scale of the first octave along the Y axis",
						"max": 32,
						"min": 1,
						"name": "scale_y",
						"shortdesc": "Scale.y",
						"step": 1,
						"type": "float"
					},
					{
						"control": "None",
						"default": 0,
						"label": "Folds",
						"longdesc": "The number of times the basic noise is folded",
						"max": 5,
						"min": 0,
						"name": "folds",
						"shortdesc": "Folds",
						"step": 1,
						"type": "float"
					},
					{
						"control": "None",
						"default": 3,
						"label": "Iterations",
						"longdesc": "The number of noise octaves",
						"max": 10,
						"min": 1,
						"name": "iterations",
						"shortdesc": "Octaves",
						"step": 1,
						"type": "float"
					},
					{
						"control": "None",
						"default": 0.5,
						"label": "Persistence",
						"longdesc": "The persistence between two consecutive octaves",
						"max": 1,
						"min": 0,
						"name": "persistence",
						"shortdesc": "Persistence",
						"step": 0.01,
						"type": "float"
					}
				],
				"shortdesc": "Fractional Brownian Motion Noise"
			},
			"type": "shader"
		},
		{
			"name": "tones_3",
			"node_position": {
				"x": -1911.19519,
				"y": 712.795593
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			"parameters": {
				"in_max": {
					"a": 1,
					"b": 0.89,
					"g": 0.89,
					"r": 0.89,
					"type": "Color"
				},
				"in_mid": {
					"a": 0.5,
					"b": 0.445,
					"g": 0.445,
					"r": 0.445,
					"type": "Color"
				},
				"in_min": {
					"a": 0,
					"b": 0,
					"g": 0,
					"r": 0,
					"type": "Color"
				},
				"out_max": {
					"a": 1,
					"b": 1,
					"g": 1,
					"r": 1,
					"type": "Color"
				},
				"out_min": {
					"a": 0,
					"b": 0,
					"g": 0,
					"r": 0,
					"type": "Color"
				}
			},
			"type": "tones"
		}
	],
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	"shortdesc": "",
	"type": "graph"
}