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| import math |
| import random |
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| from infinigen.core.nodes import Nodes, NodeWrangler, node_utils |
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|
| @node_utils.to_nodegroup( |
| "nodegroup_norm_value", singleton=False, type="GeometryNodeTree" |
| ) |
| def nodegroup_norm_value(nw: NodeWrangler): |
| |
|
|
| group_input = nw.new_node( |
| Nodes.GroupInput, |
| expose_input=[ |
| ("NodeSocketFloat", "Attribute", 0.0000), |
| ("NodeSocketGeometry", "Geometry", None), |
| ], |
| ) |
|
|
| attribute_statistic_1 = nw.new_node( |
| Nodes.AttributeStatistic, |
| input_kwargs={ |
| "Geometry": group_input.outputs["Geometry"], |
| 2: group_input.outputs["Attribute"], |
| }, |
| ) |
|
|
| subtract = nw.new_node( |
| Nodes.Math, |
| input_kwargs={ |
| 0: group_input.outputs["Attribute"], |
| 1: attribute_statistic_1.outputs["Min"], |
| }, |
| attrs={"operation": "SUBTRACT"}, |
| ) |
|
|
| subtract_1 = nw.new_node( |
| Nodes.Math, |
| input_kwargs={ |
| 0: attribute_statistic_1.outputs["Max"], |
| 1: attribute_statistic_1.outputs["Min"], |
| }, |
| attrs={"operation": "SUBTRACT"}, |
| ) |
|
|
| divide = nw.new_node( |
| Nodes.Math, |
| input_kwargs={0: subtract, 1: subtract_1}, |
| attrs={"operation": "DIVIDE"}, |
| ) |
|
|
| subtract_2 = nw.new_node( |
| Nodes.Math, input_kwargs={0: divide}, attrs={"operation": "SUBTRACT"} |
| ) |
|
|
| multiply = nw.new_node( |
| Nodes.Math, |
| input_kwargs={0: subtract_2, 1: 2.0000}, |
| attrs={"operation": "MULTIPLY"}, |
| ) |
|
|
| group_output = nw.new_node( |
| Nodes.GroupOutput, |
| input_kwargs={"Value": multiply}, |
| attrs={"is_active_output": True}, |
| ) |
|
|
|
|
| @node_utils.to_nodegroup("nodegroup_norm_vec", singleton=False, type="GeometryNodeTree") |
| def nodegroup_norm_vec(nw: NodeWrangler): |
| |
|
|
| group_input = nw.new_node( |
| Nodes.GroupInput, |
| expose_input=[ |
| ("NodeSocketGeometry", "Geometry", None), |
| ("NodeSocketString", "Name", ""), |
| ("NodeSocketVector", "Vector", (0.0000, 0.0000, 0.0000)), |
| ], |
| ) |
|
|
| separate_xyz_1 = nw.new_node( |
| Nodes.SeparateXYZ, input_kwargs={"Vector": group_input.outputs["Vector"]} |
| ) |
|
|
| normvalue = nw.new_node( |
| nodegroup_norm_value().name, |
| input_kwargs={ |
| "Attribute": separate_xyz_1.outputs["X"], |
| "Geometry": group_input.outputs["Geometry"], |
| }, |
| ) |
|
|
| normvalue_1 = nw.new_node( |
| nodegroup_norm_value().name, |
| input_kwargs={ |
| "Attribute": separate_xyz_1.outputs["Y"], |
| "Geometry": group_input.outputs["Geometry"], |
| }, |
| ) |
|
|
| normvalue_2 = nw.new_node( |
| nodegroup_norm_value().name, |
| input_kwargs={ |
| "Attribute": separate_xyz_1.outputs["Z"], |
| "Geometry": group_input.outputs["Geometry"], |
| }, |
| ) |
|
|
| combine_xyz = nw.new_node( |
| Nodes.CombineXYZ, |
| input_kwargs={"X": normvalue, "Y": normvalue_1, "Z": normvalue_2}, |
| ) |
|
|
| store_named_attribute = nw.new_node( |
| Nodes.StoreNamedAttribute, |
| input_kwargs={ |
| "Geometry": group_input.outputs["Geometry"], |
| "Name": group_input.outputs["Name"], |
| 2: combine_xyz, |
| }, |
| attrs={"data_type": "FLOAT_VECTOR"}, |
| ) |
|
|
| group_output = nw.new_node( |
| Nodes.GroupOutput, |
| input_kwargs={"Geometry": store_named_attribute}, |
| attrs={"is_active_output": True}, |
| ) |
|
|
|
|
| def sample_range(x_min, x_max): |
| y = random.random() |
| y = y * (x_max - x_min) + x_min |
| return y |
|
|
|
|
| def sample_ratio(x, sample_min=0.5, sample_max=2): |
| if x == 0: |
| return x |
| neg = 1 |
| if x < 0: |
| x = -x |
| neg = -1 |
| x_min = x * sample_min |
| x_max = x * sample_max |
| exp = sample_range(math.log(x_min), math.log(x_max)) |
| return neg * math.exp(exp) |
|
|
|
|
| def clip(x, v_min=0, v_max=1): |
| return max(min(x, v_max), v_min) |
|
|
|
|
| |
| |
| def sample_color(color, offset=0, keep_sum=False): |
| if keep_sum: |
| mean = (color[0] + color[1] + color[2]) / 3 |
| offset = min(mean, 1 - mean) * random.random() |
| idx = random.randint(0, 2) |
| f = 1 |
| pcg = random.random() |
| for i in range(3): |
| if i == idx: |
| color[i] = mean + offset |
| else: |
| color[i] = mean - offset * (f * pcg + (1 - f) * (1 - pcg)) |
| f = 0 |
| return |
|
|
| for i in range(3): |
| if offset == 0: |
| color[i] = random.random() |
| else: |
| color[i] += (random.random() - 0.5) * 2 * offset |
| color[i] = clip(color[i]) |
|
|
|
|
| |
| def geo_voronoi_noise(nw, rand=False, **input_kwargs): |
| group_input = nw.new_node(Nodes.GroupInput) |
|
|
| subdivide_mesh = nw.new_node( |
| "GeometryNodeSubdivideMesh", |
| input_kwargs={ |
| "Mesh": group_input.outputs["Geometry"], |
| "Level": input_kwargs.get("subdivide_mesh_level", 0), |
| }, |
| ) |
|
|
| position = nw.new_node(Nodes.InputPosition) |
|
|
| scale = nw.new_node(Nodes.Value) |
| scale.outputs["Value"].default_value = input_kwargs.get("scale", 2) |
|
|
| vector_math = nw.new_node( |
| Nodes.VectorMath, |
| input_kwargs={0: position, 1: scale}, |
| attrs={"operation": "MULTIPLY"}, |
| ) |
|
|
| noise_texture = nw.new_node( |
| Nodes.NoiseTexture, |
| input_kwargs={"Vector": vector_math.outputs["Vector"], "Scale": 10.0}, |
| ) |
| if rand: |
| sample_max = ( |
| input_kwargs["noise_scale_max"] if "noise_scale_max" in input_kwargs else 3 |
| ) |
| sample_min = ( |
| input_kwargs["noise_scale_min"] |
| if "noise_scale_min" in input_kwargs |
| else 1 / sample_max |
| ) |
| noise_texture.inputs["Scale"].default_value = sample_ratio( |
| noise_texture.inputs["Scale"].default_value, sample_min, sample_max |
| ) |
|
|
| mix = nw.new_node( |
| Nodes.MixRGB, |
| input_kwargs={ |
| "Fac": 0.8, |
| "Color1": noise_texture.outputs["Color"], |
| "Color2": vector_math.outputs["Vector"], |
| }, |
| ) |
| if rand: |
| mix.inputs["Fac"].default_value = sample_range(0.7, 0.9) |
|
|
| voronoi_texture = nw.new_node( |
| Nodes.VoronoiTexture, |
| input_kwargs={"Vector": mix}, |
| attrs={"voronoi_dimensions": "4D"}, |
| ) |
| if rand: |
| sample_max = ( |
| input_kwargs["voronoi_scale_max"] |
| if "voronoi_scale_max" in input_kwargs |
| else 3 |
| ) |
| sample_min = ( |
| input_kwargs["voronoi_scale_min"] |
| if "voronoi_scale_min" in input_kwargs |
| else 1 / sample_max |
| ) |
| voronoi_texture.inputs["Scale"].default_value = sample_ratio( |
| voronoi_texture.inputs["Scale"].default_value, sample_min, sample_max |
| ) |
| voronoi_texture.inputs["W"].default_value = sample_range(-5, 5) |
|
|
| subtract = nw.new_node( |
| Nodes.Math, |
| input_kwargs={0: voronoi_texture.outputs["Distance"]}, |
| attrs={"operation": "SUBTRACT"}, |
| ) |
|
|
| normal = nw.new_node(Nodes.InputNormal) |
|
|
| vector_math_1 = nw.new_node( |
| Nodes.VectorMath, |
| input_kwargs={0: subtract, 1: normal}, |
| attrs={"operation": "MULTIPLY"}, |
| ) |
|
|
| offsetscale = nw.new_node(Nodes.Value) |
| offsetscale.outputs["Value"].default_value = input_kwargs.get("offsetscale", 0.02) |
|
|
| vector_math_2 = nw.new_node( |
| Nodes.VectorMath, |
| input_kwargs={0: vector_math_1.outputs["Vector"], 1: offsetscale}, |
| attrs={"operation": "MULTIPLY"}, |
| ) |
|
|
| set_position = nw.new_node( |
| Nodes.SetPosition, |
| input_kwargs={ |
| "Geometry": subdivide_mesh, |
| "Offset": vector_math_2.outputs["Vector"], |
| }, |
| ) |
|
|
| capture_attribute = nw.new_node( |
| Nodes.CaptureAttribute, |
| input_kwargs={"Geometry": set_position, 1: voronoi_texture.outputs["Distance"]}, |
| attrs={"data_type": "FLOAT_VECTOR"}, |
| ) |
|
|
| group_output = nw.new_node( |
| Nodes.GroupOutput, |
| input_kwargs={ |
| "Geometry": capture_attribute.outputs["Geometry"], |
| "Attribute": capture_attribute.outputs["Attribute"], |
| }, |
| ) |
|
|
|
|
| def perturb_coordinates(nw, node, location, rotation): |
| for name in ["Generated", "Object", "Position", "UV"]: |
| if name in node.outputs: |
| node_socket = node.outputs[name] |
| to_links = nw.find_to(node_socket) |
| if len(to_links) == 0: |
| continue |
| shifted = nw.new_node( |
| Nodes.Mapping, |
| [node_socket], |
| input_kwargs={ |
| "Location": location, |
| "Rotation": nw.combine(0, 0, rotation), |
| }, |
| ).outputs[0] |
| to_sockets = [tl.to_socket for tl in to_links] |
| for to_link in to_links: |
| nw.links.remove(to_link) |
| for to_socket in to_sockets: |
| nw.connect_input(shifted, to_socket) |
|
|