ComfyUI/comfy_extras/nodes_save_3d.py
2026-06-16 11:48:07 +03:00

762 lines
32 KiB
Python

"""Save-side 3D nodes: mesh packing/slicing helpers + GLB writer + SaveGLB node."""
import copy
import json
import logging
import math
import os
import struct
from io import BytesIO
from typing import TypedDict
import numpy as np
from PIL import Image
import torch
from typing_extensions import override
import folder_paths
from comfy.cli_args import args
from comfy_api.latest import ComfyExtension, IO, Types
def pack_variable_mesh_batch(vertices, faces, colors=None, uvs=None, texture=None, unlit=False,
normals=None, metallic_roughness=None):
# Pack lists of (Nᵢ, *) vertex/face/color/uv tensors into padded batched tensors,
# stashing per-item lengths as runtime attrs so consumers can recover the real slice.
# colors and uvs are 1:1 with vertices, so they're padded to max_vertices and read with vertex_counts.
# texture is (B, H, W, 3) — passed through unchanged
batch_size = len(vertices)
max_vertices = max(v.shape[0] for v in vertices)
max_faces = max(f.shape[0] for f in faces)
packed_vertices = vertices[0].new_zeros((batch_size, max_vertices, vertices[0].shape[1]))
packed_faces = faces[0].new_zeros((batch_size, max_faces, faces[0].shape[1]))
vertex_counts = torch.tensor([v.shape[0] for v in vertices], device=vertices[0].device, dtype=torch.int64)
face_counts = torch.tensor([f.shape[0] for f in faces], device=faces[0].device, dtype=torch.int64)
for i, (v, f) in enumerate(zip(vertices, faces)):
packed_vertices[i, :v.shape[0]] = v
packed_faces[i, :f.shape[0]] = f
packed_colors = None
if colors is not None:
packed_colors = colors[0].new_zeros((batch_size, max_vertices, colors[0].shape[1]))
for i, c in enumerate(colors):
assert c.shape[0] == vertices[i].shape[0], (
f"vertex_colors[{i}] has {c.shape[0]} entries, expected {vertices[i].shape[0]} (1:1 with vertices)"
)
packed_colors[i, :c.shape[0]] = c
packed_uvs = None
if uvs is not None:
packed_uvs = uvs[0].new_zeros((batch_size, max_vertices, uvs[0].shape[1]))
for i, u in enumerate(uvs):
assert u.shape[0] == vertices[i].shape[0], (
f"uvs[{i}] has {u.shape[0]} entries, expected {vertices[i].shape[0]} (1:1 with vertices)"
)
packed_uvs[i, :u.shape[0]] = u
packed_normals = None
if normals is not None:
packed_normals = normals[0].new_zeros((batch_size, max_vertices, normals[0].shape[1]))
for i, nrm in enumerate(normals):
assert nrm.shape[0] == vertices[i].shape[0], (
f"normals[{i}] has {nrm.shape[0]} entries, expected {vertices[i].shape[0]} (1:1 with vertices)"
)
packed_normals[i, :nrm.shape[0]] = nrm
return Types.MESH(packed_vertices, packed_faces,
uvs=packed_uvs, vertex_colors=packed_colors, texture=texture,
metallic_roughness=metallic_roughness,
vertex_counts=vertex_counts, face_counts=face_counts, unlit=unlit,
normals=packed_normals)
def get_mesh_batch_item(mesh, index):
# Returns (vertices, faces, colors, uvs) for batch index, slicing to real lengths
# if the mesh carries per-item counts (variable-size batch).
v_colors = getattr(mesh, "vertex_colors", None)
v_uvs = getattr(mesh, "uvs", None)
v_normals = getattr(mesh, "normals", None)
if getattr(mesh, "vertex_counts", None) is not None:
vertex_count = int(mesh.vertex_counts[index].item())
face_count = int(mesh.face_counts[index].item())
vertices = mesh.vertices[index, :vertex_count]
faces = mesh.faces[index, :face_count]
colors = v_colors[index, :vertex_count] if v_colors is not None else None
uvs = v_uvs[index, :vertex_count] if v_uvs is not None else None
normals = v_normals[index, :vertex_count] if v_normals is not None else None
return vertices, faces, colors, uvs, normals
colors = v_colors[index] if v_colors is not None else None
uvs = v_uvs[index] if v_uvs is not None else None
normals = v_normals[index] if v_normals is not None else None
return mesh.vertices[index], mesh.faces[index], colors, uvs, normals
def _smooth_vertex_normals(vertices_np, faces_np):
"""Area-weighted per-vertex normals (unit length), fully smooth — no vertex splitting.
Un-normalized face normals (the raw cross product) have magnitude 2*area, so
accumulating them onto their vertices yields an area-weighted average."""
tris = vertices_np[faces_np] # (M, 3, 3)
face_n = np.cross(tris[:, 1] - tris[:, 0], tris[:, 2] - tris[:, 0])
normals = np.zeros((vertices_np.shape[0], 3), dtype=np.float64)
for k in range(3):
np.add.at(normals, faces_np[:, k], face_n)
lens = np.linalg.norm(normals, axis=1, keepdims=True)
normals /= np.where(lens > 1e-12, lens, 1.0)
return normals.astype(np.float32)
def _compute_vertex_normals(vertices_np, faces_np, crease_angle=None):
"""Compute per-vertex normals, returning (vertices, faces_uint32, normals, remap).
crease_angle is None (or >= 180) -> fully smooth normals; vertices/faces are
returned unchanged and remap is None.
Otherwise vertices are split along edges whose dihedral angle exceeds
crease_angle (degrees) so hard creases stay sharp while smooth regions still
interpolate. remap maps each output vertex back to its source index, so the
caller can duplicate any per-vertex attributes (uvs / colors) to match."""
faces_i = faces_np.astype(np.int64)
if crease_angle is None or crease_angle >= 180.0:
return (vertices_np, faces_i.astype(np.uint32),
_smooth_vertex_normals(vertices_np, faces_i), None)
M = faces_i.shape[0]
tris = vertices_np[faces_i]
face_n = np.cross(tris[:, 1] - tris[:, 0], tris[:, 2] - tris[:, 0])
areas = np.linalg.norm(face_n, axis=1, keepdims=True)
face_unit = face_n / np.where(areas > 1e-12, areas, 1.0)
cos_thresh = math.cos(math.radians(crease_angle))
# Union faces that share an edge whose dihedral angle is below the crease
# threshold; each connected component becomes one smoothing group.
parent = list(range(M))
def find(x):
while parent[x] != x:
parent[x] = parent[parent[x]]
x = parent[x]
return x
edge_faces = {}
for fi in range(M):
a, b, c = int(faces_i[fi, 0]), int(faces_i[fi, 1]), int(faces_i[fi, 2])
for u, v in ((a, b), (b, c), (c, a)):
edge_faces.setdefault((u, v) if u < v else (v, u), []).append(fi)
for fl in edge_faces.values():
if len(fl) == 2 and float(np.dot(face_unit[fl[0]], face_unit[fl[1]])) >= cos_thresh:
ra, rb = find(fl[0]), find(fl[1])
if ra != rb:
parent[ra] = rb
# Emit one output vertex per (original vertex, smoothing group) pair.
new_index = {}
remap = []
out_faces = np.empty((M, 3), dtype=np.int64)
for fi in range(M):
g = find(fi)
for k in range(3):
ov = int(faces_i[fi, k])
key = (ov, g)
ni = new_index.get(key)
if ni is None:
ni = len(remap)
new_index[key] = ni
remap.append(ov)
out_faces[fi, k] = ni
remap = np.asarray(remap, dtype=np.int64)
normals = np.zeros((remap.shape[0], 3), dtype=np.float64)
for k in range(3):
np.add.at(normals, out_faces[:, k], face_n)
lens = np.linalg.norm(normals, axis=1, keepdims=True)
normals /= np.where(lens > 1e-12, lens, 1.0)
return (vertices_np[remap], out_faces.astype(np.uint32), normals.astype(np.float32), remap)
def save_glb(vertices, faces, filepath, metadata=None,
uvs=None, vertex_colors=None, texture_image=None,
metallic_roughness_image=None, unlit=False,
normals=None):
"""
Save PyTorch tensor vertices and faces as a GLB file without external dependencies.
Parameters:
vertices: torch.Tensor of shape (N, 3) - The vertex coordinates
faces: torch.Tensor of shape (M, 3) - The face indices (triangle faces)
filepath: str - Output filepath (should end with .glb)
metadata: dict - Optional asset.extras metadata
uvs: torch.Tensor of shape (N, 2) - Optional per-vertex texture coordinates
vertex_colors: torch.Tensor of shape (N, 3) or (N, 4) - Optional per-vertex colors in [0, 1]
texture_image: PIL.Image - Optional baseColor texture, embedded as PNG
metallic_roughness_image: PIL.Image - Optional glTF metallicRoughness texture
(R unused, G=roughness, B=metallic), embedded as PNG
normals: torch.Tensor of shape (N, 3) - Optional per-vertex normals, written as the
glTF NORMAL attribute. When omitted, NO normals are written and viewers fall back
to flat (per-face) shading — use the MeshSmoothNormals node to generate them.
"""
# Convert tensors to numpy arrays
vertices_np = vertices.cpu().numpy().astype(np.float32)
faces_signed = faces.cpu().numpy().astype(np.int64)
uvs_np = uvs.cpu().numpy().astype(np.float32) if uvs is not None else None
colors_np = vertex_colors.cpu().numpy().astype(np.float32) if vertex_colors is not None else None
if colors_np is not None:
colors_np = np.clip(colors_np, 0.0, 1.0)
n_verts = vertices_np.shape[0]
if n_verts == 0:
raise ValueError("save_glb: vertices is empty")
if faces_signed.size > 0:
fmin = int(faces_signed.min())
fmax = int(faces_signed.max())
if fmin < 0 or fmax >= n_verts:
raise ValueError(
f"save_glb: face index out of range [0, {n_verts}): min={fmin}, max={fmax}"
)
if uvs_np is not None and uvs_np.shape[0] != n_verts:
raise ValueError(
f"save_glb: uvs has {uvs_np.shape[0]} entries but vertex count is {n_verts}"
)
if colors_np is not None and colors_np.shape[0] != n_verts:
raise ValueError(
f"save_glb: vertex_colors has {colors_np.shape[0]} entries but vertex count is {n_verts}"
)
normals_np = normals.cpu().numpy().astype(np.float32) if normals is not None else None
if normals_np is not None and normals_np.shape[0] != n_verts:
raise ValueError(
f"save_glb: normals has {normals_np.shape[0]} entries but vertex count is {n_verts}"
)
faces_np = faces_signed.astype(np.uint32)
texture_png_bytes = None
if texture_image is not None:
buf = BytesIO()
texture_image.save(buf, format="PNG")
texture_png_bytes = buf.getvalue()
mr_png_bytes = None
if metallic_roughness_image is not None:
buf = BytesIO()
metallic_roughness_image.save(buf, format="PNG")
mr_png_bytes = buf.getvalue()
vertices_buffer = vertices_np.tobytes()
indices_buffer = faces_np.tobytes()
uvs_buffer = uvs_np.tobytes() if uvs_np is not None else b""
colors_buffer = colors_np.tobytes() if colors_np is not None else b""
normals_buffer = normals_np.tobytes() if normals_np is not None else b""
texture_buffer = texture_png_bytes if texture_png_bytes is not None else b""
mr_buffer = mr_png_bytes if mr_png_bytes is not None else b""
def pad_to_4_bytes(buffer):
padding_length = (4 - (len(buffer) % 4)) % 4
return buffer + b'\x00' * padding_length
vertices_buffer_padded = pad_to_4_bytes(vertices_buffer)
indices_buffer_padded = pad_to_4_bytes(indices_buffer)
uvs_buffer_padded = pad_to_4_bytes(uvs_buffer)
colors_buffer_padded = pad_to_4_bytes(colors_buffer)
normals_buffer_padded = pad_to_4_bytes(normals_buffer)
texture_buffer_padded = pad_to_4_bytes(texture_buffer)
mr_buffer_padded = pad_to_4_bytes(mr_buffer)
buffer_data = b"".join([
vertices_buffer_padded,
indices_buffer_padded,
uvs_buffer_padded,
colors_buffer_padded,
normals_buffer_padded,
texture_buffer_padded,
mr_buffer_padded,
])
vertices_byte_length = len(vertices_buffer)
vertices_byte_offset = 0
indices_byte_length = len(indices_buffer)
indices_byte_offset = len(vertices_buffer_padded)
uvs_byte_offset = indices_byte_offset + len(indices_buffer_padded)
colors_byte_offset = uvs_byte_offset + len(uvs_buffer_padded)
normals_byte_offset = colors_byte_offset + len(colors_buffer_padded)
texture_byte_offset = normals_byte_offset + len(normals_buffer_padded)
mr_byte_offset = texture_byte_offset + len(texture_buffer_padded)
buffer_views = [
{
"buffer": 0,
"byteOffset": vertices_byte_offset,
"byteLength": vertices_byte_length,
"target": 34962 # ARRAY_BUFFER
},
{
"buffer": 0,
"byteOffset": indices_byte_offset,
"byteLength": indices_byte_length,
"target": 34963 # ELEMENT_ARRAY_BUFFER
}
]
accessors = [
{
"bufferView": 0,
"byteOffset": 0,
"componentType": 5126, # FLOAT
"count": len(vertices_np),
"type": "VEC3",
"max": vertices_np.max(axis=0).tolist(),
"min": vertices_np.min(axis=0).tolist()
},
{
"bufferView": 1,
"byteOffset": 0,
"componentType": 5125, # UNSIGNED_INT
"count": faces_np.size,
"type": "SCALAR"
}
]
primitive_attributes = {"POSITION": 0}
if uvs_np is not None and len(uvs_np) > 0:
buffer_views.append({
"buffer": 0,
"byteOffset": uvs_byte_offset,
"byteLength": len(uvs_buffer),
"target": 34962
})
accessor_idx = len(accessors)
accessors.append({
"bufferView": len(buffer_views) - 1,
"byteOffset": 0,
"componentType": 5126,
"count": len(uvs_np),
"type": "VEC2",
})
primitive_attributes["TEXCOORD_0"] = accessor_idx
if colors_np is not None and len(colors_np) > 0:
buffer_views.append({
"buffer": 0,
"byteOffset": colors_byte_offset,
"byteLength": len(colors_buffer),
"target": 34962
})
accessor_idx = len(accessors)
accessors.append({
"bufferView": len(buffer_views) - 1,
"byteOffset": 0,
"componentType": 5126,
"count": len(colors_np),
"type": "VEC3" if colors_np.shape[1] == 3 else "VEC4",
})
primitive_attributes["COLOR_0"] = accessor_idx
if normals_np is not None and len(normals_np) > 0:
buffer_views.append({
"buffer": 0,
"byteOffset": normals_byte_offset,
"byteLength": len(normals_buffer),
"target": 34962
})
accessor_idx = len(accessors)
accessors.append({
"bufferView": len(buffer_views) - 1,
"byteOffset": 0,
"componentType": 5126, # FLOAT
"count": len(normals_np),
"type": "VEC3",
})
primitive_attributes["NORMAL"] = accessor_idx
primitive = {
"attributes": primitive_attributes,
"indices": 1,
"mode": 4 # TRIANGLES
}
images = []
textures = []
samplers = []
materials = []
extensions_used = []
if unlit and texture_png_bytes is None:
# Flat, light-independent shading (KHR_materials_unlit): COLOR_0 is shown as-is, matching how a
# gaussian splat renders (emissive). Without this the viewer lights the mesh and washes the colours.
materials.append({
"pbrMetallicRoughness": {"baseColorFactor": [1.0, 1.0, 1.0, 1.0], "metallicFactor": 0.0, "roughnessFactor": 1.0},
"extensions": {"KHR_materials_unlit": {}},
"doubleSided": True,
})
extensions_used.append("KHR_materials_unlit")
primitive["material"] = 0
else:
pbr = {
"metallicFactor": 0.0,
"roughnessFactor": 0.5,
"baseColorFactor": [0.22, 0.22, 0.22, 1.0],
}
if texture_png_bytes is not None and "TEXCOORD_0" in primitive_attributes:
buffer_views.append({
"buffer": 0,
"byteOffset": texture_byte_offset,
"byteLength": len(texture_buffer),
})
images.append({"bufferView": len(buffer_views) - 1, "mimeType": "image/png"})
samplers.append({"magFilter": 9729, "minFilter": 9729, "wrapS": 33071, "wrapT": 33071})
textures.append({"source": len(images) - 1, "sampler": 0})
pbr["baseColorTexture"] = {"index": len(textures) - 1, "texCoord": 0}
if mr_png_bytes is not None and "TEXCOORD_0" in primitive_attributes:
buffer_views.append({
"buffer": 0,
"byteOffset": mr_byte_offset,
"byteLength": len(mr_buffer),
})
images.append({"bufferView": len(buffer_views) - 1, "mimeType": "image/png"})
if not samplers:
samplers.append({"magFilter": 9729, "minFilter": 9729, "wrapS": 33071, "wrapT": 33071})
textures.append({"source": len(images) - 1, "sampler": 0})
pbr["metallicRoughnessTexture"] = {"index": len(textures) - 1, "texCoord": 0}
# When a metallicRoughness texture is present, the factors scale it; use 1.0
# so the texture values pass through unchanged (glTF convention).
pbr["metallicFactor"] = 1.0
pbr["roughnessFactor"] = 1.0
materials.append({
"pbrMetallicRoughness": pbr,
"doubleSided": True,
})
primitive["material"] = 0
gltf = {
"asset": {"version": "2.0", "generator": "ComfyUI"},
"buffers": [{"byteLength": len(buffer_data)}],
"bufferViews": buffer_views,
"accessors": accessors,
"meshes": [{"primitives": [primitive]}],
"nodes": [{"mesh": 0}],
"scenes": [{"nodes": [0]}],
"scene": 0,
}
if images:
gltf["images"] = images
if samplers:
gltf["samplers"] = samplers
if textures:
gltf["textures"] = textures
if materials:
gltf["materials"] = materials
if extensions_used:
gltf["extensionsUsed"] = extensions_used
if metadata:
gltf["asset"]["extras"] = metadata
# Convert the JSON to bytes
gltf_json = json.dumps(gltf).encode('utf8')
def pad_json_to_4_bytes(buffer):
padding_length = (4 - (len(buffer) % 4)) % 4
return buffer + b' ' * padding_length
gltf_json_padded = pad_json_to_4_bytes(gltf_json)
# Create the GLB header (a 4-byte ASCII magic identifier glTF)
glb_header = struct.pack('<4sII', b'glTF', 2, 12 + 8 + len(gltf_json_padded) + 8 + len(buffer_data))
# Create JSON chunk header (chunk type 0)
json_chunk_header = struct.pack('<II', len(gltf_json_padded), 0x4E4F534A) # "JSON" in little endian
# Create BIN chunk header (chunk type 1)
bin_chunk_header = struct.pack('<II', len(buffer_data), 0x004E4942) # "BIN\0" in little endian
# Write the GLB file
with open(filepath, 'wb') as f:
f.write(glb_header)
f.write(json_chunk_header)
f.write(gltf_json_padded)
f.write(bin_chunk_header)
f.write(buffer_data)
return filepath
class SaveGLB(IO.ComfyNode):
@classmethod
def define_schema(cls):
return IO.Schema(
node_id="SaveGLB",
display_name="Save 3D Model",
search_aliases=["export 3d model", "save mesh"],
category="3d",
essentials_category="Basics",
is_output_node=True,
inputs=[
IO.MultiType.Input(
IO.Mesh.Input("mesh"),
types=[
IO.File3DGLB,
IO.File3DGLTF,
IO.File3DOBJ,
IO.File3DFBX,
IO.File3DSTL,
IO.File3DUSDZ,
IO.File3DPLY,
IO.File3DSPLAT,
IO.File3DSPZ,
IO.File3DKSPLAT,
IO.File3DSplatAny,
IO.File3DPointCloudAny,
IO.File3DAny,
],
tooltip="Mesh or 3D file to save",
),
IO.String.Input("filename_prefix", default="3d/ComfyUI"),
],
hidden=[IO.Hidden.prompt, IO.Hidden.extra_pnginfo]
)
@classmethod
def execute(cls, mesh: Types.MESH | Types.File3D, filename_prefix: str) -> IO.NodeOutput:
full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, folder_paths.get_output_directory())
results = []
metadata = {}
if not args.disable_metadata:
if cls.hidden.prompt is not None:
metadata["prompt"] = json.dumps(cls.hidden.prompt)
if cls.hidden.extra_pnginfo is not None:
for x in cls.hidden.extra_pnginfo:
metadata[x] = json.dumps(cls.hidden.extra_pnginfo[x])
if isinstance(mesh, Types.File3D):
# Handle File3D input - save BytesIO data to output folder
ext = mesh.format or "glb"
f = f"{filename}_{counter:05}_.{ext}"
mesh.save_to(os.path.join(full_output_folder, f))
results.append({
"filename": f,
"subfolder": subfolder,
"type": "output"
})
counter += 1
else:
# Handle Mesh input - save vertices and faces as GLB; carry optional UVs / colors / texture.
texture_b = getattr(mesh, "texture", None)
texture_np = None
if texture_b is not None:
texture_np = (texture_b.clamp(0.0, 1.0).cpu().numpy() * 255).astype(np.uint8)
assert texture_np.ndim == 4 and texture_np.shape[-1] == 3, (
f"texture must be (B, H, W, 3) RGB, got shape {tuple(texture_np.shape)}"
)
mr_b = getattr(mesh, "metallic_roughness", None)
mr_np = None
if mr_b is not None:
mr_np = (mr_b.clamp(0.0, 1.0).cpu().numpy() * 255).astype(np.uint8)
assert mr_np.ndim == 4 and mr_np.shape[-1] == 3, (
f"metallic_roughness must be (B, H, W, 3), got shape {tuple(mr_np.shape)}"
)
for i in range(mesh.vertices.shape[0]):
vertices_i, faces_i, v_colors, uvs_i, normals_i = get_mesh_batch_item(mesh, i)
if vertices_i.shape[0] == 0 or faces_i.shape[0] == 0:
logging.warning(f"SaveGLB: skipping empty mesh at batch index {i}")
continue
tex_img = Image.fromarray(texture_np[i], mode="RGB") if texture_np is not None else None
mr_img = Image.fromarray(mr_np[i], mode="RGB") if mr_np is not None else None
f = f"{filename}_{counter:05}_.glb"
save_glb(
vertices_i, faces_i,
os.path.join(full_output_folder, f),
metadata,
uvs=uvs_i,
vertex_colors=v_colors,
texture_image=tex_img,
metallic_roughness_image=mr_img,
unlit=getattr(mesh, "unlit", False),
normals=normals_i,
)
results.append({
"filename": f,
"subfolder": subfolder,
"type": "output"
})
counter += 1
return IO.NodeOutput(ui={"3d": results})
class RotateMesh(IO.ComfyNode):
class ModeValues(TypedDict, total=False):
mode: str
angle_x: float
angle_y: float
angle_z: float
qw: float
qx: float
qy: float
qz: float
@classmethod
def define_schema(cls):
return IO.Schema(
node_id="RotateMesh",
display_name="Rotate Mesh",
category="3d",
description=(
"Rotate a mesh. Euler XYZ applies X then Y then Z about the world axes (degrees). "
"Quaternion is (w, x, y, z), auto-normalized."
),
inputs=[
IO.Mesh.Input("mesh"),
IO.DynamicCombo.Input(
"mode",
options=[
IO.DynamicCombo.Option("euler_xyz", [
IO.Float.Input("angle_x", default=0.0, min=-360.0, max=360.0, step=0.1,
tooltip="Rotation around the X axis in degrees."),
IO.Float.Input("angle_y", default=0.0, min=-360.0, max=360.0, step=0.1,
tooltip="Rotation around the Y axis in degrees."),
IO.Float.Input("angle_z", default=0.0, min=-360.0, max=360.0, step=0.1,
tooltip="Rotation around the Z axis in degrees."),
]),
IO.DynamicCombo.Option("quaternion", [
IO.Float.Input("qw", default=1.0, min=-1.0, max=1.0, step=0.001),
IO.Float.Input("qx", default=0.0, min=-1.0, max=1.0, step=0.001),
IO.Float.Input("qy", default=0.0, min=-1.0, max=1.0, step=0.001),
IO.Float.Input("qz", default=0.0, min=-1.0, max=1.0, step=0.001),
]),
],
),
],
outputs=[IO.Mesh.Output("mesh")],
)
@classmethod
def execute(cls, mesh: Types.MESH, mode: ModeValues) -> IO.NodeOutput:
mode_name = mode["mode"]
if mode_name == "euler_xyz":
ax = math.radians(mode["angle_x"])
ay = math.radians(mode["angle_y"])
az = math.radians(mode["angle_z"])
if ax == 0.0 and ay == 0.0 and az == 0.0:
return IO.NodeOutput(mesh)
cx, sx = math.cos(ax), math.sin(ax)
cy, sy = math.cos(ay), math.sin(ay)
cz, sz = math.cos(az), math.sin(az)
R_rows = [
[cy * cz, sx * sy * cz - cx * sz, cx * sy * cz + sx * sz],
[cy * sz, sx * sy * sz + cx * cz, cx * sy * sz - sx * cz],
[-sy, sx * cy, cx * cy],
]
elif mode_name == "quaternion":
qw, qx, qy, qz = mode["qw"], mode["qx"], mode["qy"], mode["qz"]
n = math.sqrt(qw * qw + qx * qx + qy * qy + qz * qz)
if n < 1e-8:
raise ValueError("RotateMesh: quaternion has zero magnitude")
qw, qx, qy, qz = qw / n, qx / n, qy / n, qz / n
if qw == 1.0 and qx == 0.0 and qy == 0.0 and qz == 0.0:
return IO.NodeOutput(mesh)
R_rows = [
[1 - 2 * (qy * qy + qz * qz), 2 * (qx * qy - qz * qw), 2 * (qx * qz + qy * qw)],
[2 * (qx * qy + qz * qw), 1 - 2 * (qx * qx + qz * qz), 2 * (qy * qz - qx * qw)],
[2 * (qx * qz - qy * qw), 2 * (qy * qz + qx * qw), 1 - 2 * (qx * qx + qy * qy)],
]
else:
raise ValueError(f"RotateMesh: unknown mode {mode_name!r}")
def rotate(v: torch.Tensor) -> torch.Tensor:
R = torch.tensor(R_rows, device=v.device, dtype=v.dtype)
return v @ R.T
out = copy.copy(mesh)
if isinstance(mesh.vertices, list):
out.vertices = [rotate(v) for v in mesh.vertices]
else:
out.vertices = rotate(mesh.vertices)
# Normals are directions; rotate them too (R is orthogonal) so they stay valid.
nrm = getattr(mesh, "normals", None)
if nrm is not None:
out.normals = [rotate(n) for n in nrm] if isinstance(nrm, list) else rotate(nrm)
return IO.NodeOutput(out)
class MeshSmoothNormals(IO.ComfyNode):
@classmethod
def define_schema(cls):
return IO.Schema(
node_id="MeshSmoothNormals",
display_name="Smooth Mesh Normals",
category="3d",
description=(
"Compute smooth per-vertex normals and attach them to the mesh. Meshes "
"without normals are shaded flat (per-face) by glTF viewers; this makes "
"them shade smoothly. With crease_angle below 180, edges sharper than the "
"threshold are kept hard by splitting vertices along them."
),
inputs=[
IO.Mesh.Input("mesh"),
IO.Float.Input("crease_angle", default=180.0, min=0.0, max=180.0, step=1.0,
tooltip="Edges whose dihedral angle exceeds this (degrees) stay "
"hard (vertices are split). 180 = fully smooth; lower "
"preserves sharp edges (e.g. ~30-60 for hard-surface)."),
],
outputs=[IO.Mesh.Output("mesh")],
)
@classmethod
def execute(cls, mesh: Types.MESH, crease_angle: float) -> IO.NodeOutput:
crease = None if crease_angle >= 180.0 else float(crease_angle)
batch_size = mesh.vertices.shape[0]
if crease is None:
# Fully smooth: topology is unchanged, so just attach a normals tensor that
# matches the existing (possibly zero-padded) vertex layout and keep all fields.
normals_padded = torch.zeros_like(mesh.vertices)
for i in range(batch_size):
v_i, f_i, _, _, _ = get_mesh_batch_item(mesh, i)
if v_i.shape[0] == 0 or f_i.shape[0] == 0:
continue
n_i = _smooth_vertex_normals(v_i.cpu().numpy().astype(np.float32),
f_i.cpu().numpy().astype(np.int64))
normals_padded[i, :n_i.shape[0]] = torch.from_numpy(n_i).to(mesh.vertices)
out = copy.copy(mesh)
out.normals = normals_padded
return IO.NodeOutput(out)
# Crease split changes per-item vertex counts -> rebuild as a variable-size batch.
v_list, f_list, n_list = [], [], []
c_list = [] if mesh.vertex_colors is not None else None
u_list = [] if mesh.uvs is not None else None
for i in range(batch_size):
v_i, f_i, c_i, u_i, _ = get_mesh_batch_item(mesh, i)
if v_i.shape[0] == 0 or f_i.shape[0] == 0:
continue
dev = v_i.device
vo, fo, no, remap = _compute_vertex_normals(
v_i.cpu().numpy().astype(np.float32),
f_i.cpu().numpy().astype(np.int64), crease)
remap_t = torch.from_numpy(remap)
v_list.append(torch.from_numpy(vo).to(dev, mesh.vertices.dtype))
f_list.append(torch.from_numpy(fo.astype(np.int64)).to(dev, mesh.faces.dtype))
n_list.append(torch.from_numpy(no).to(dev, mesh.vertices.dtype))
if c_list is not None:
c_list.append(c_i[remap_t.to(c_i.device)])
if u_list is not None:
u_list.append(u_i[remap_t.to(u_i.device)])
if not v_list:
return IO.NodeOutput(mesh)
out = pack_variable_mesh_batch(
v_list, f_list, colors=c_list, uvs=u_list,
texture=mesh.texture, unlit=getattr(mesh, "unlit", False),
normals=n_list, metallic_roughness=getattr(mesh, "metallic_roughness", None))
return IO.NodeOutput(out)
class Save3DExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[IO.ComfyNode]]:
return [SaveGLB, RotateMesh, MeshSmoothNormals]
async def comfy_entrypoint() -> Save3DExtension:
return Save3DExtension()