xinyun/ComfyUI-Hunyuan3DWrapper
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Updated BPT code

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Easymode 2025-02-19 17:18:06 +00:00 committed by GitHub
parent d34f251c36
commit 2ff95dbd71
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1 changed files with 9 additions and 10 deletions
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17
hy3dgen/shapegen/postprocessors.py
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@ -158,13 +158,13 @@ def import_mesh(mesh: Union[pymeshlab.MeshSet, trimesh.Trimesh, Latent2MeshOutpu
return mesh return mesh
def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, with_normal: bool = True, temperature: float = 0.5, batch_size: int = 1): def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, with_normal: bool = True, temperature: float = 0.5, batch_size: int = 1, pc_num: int = 4096):
from .bpt.model import data_utils from .bpt.model import data_utils
from .bpt.model.model import MeshTransformer from .bpt.model.model import MeshTransformer
from .bpt.model.serializaiton import BPT_deserialize from .bpt.model.serializaiton import BPT_deserialize
from .bpt.utils import sample_pc, joint_filter from .bpt.utils import sample_pc, joint_filter
pc_normal = sample_pc(mesh, pc_num=8192, with_normal=with_normal) pc_normal = sample_pc(mesh, pc_num=pc_num, with_normal=with_normal)
pc_normal = pc_normal[None, :, :] if len(pc_normal.shape) == 2 else pc_normal pc_normal = pc_normal[None, :, :] if len(pc_normal.shape) == 2 else pc_normal
@ -181,9 +181,7 @@ def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, with_normal:
model_path = os.path.join(comfyui_dir, 'bpt/bpt-8-16-500m.pt') model_path = os.path.join(comfyui_dir, 'bpt/bpt-8-16-500m.pt')
print(model_path) print(model_path)
model.load(model_path) model.load(model_path)
model = model.eval() model = model.eval().cuda().half()
model = model.half()
model = model.cuda()
import torch import torch
pc_tensor = torch.from_numpy(pc_normal).cuda().half() pc_tensor = torch.from_numpy(pc_normal).cuda().half()
@ -214,8 +212,7 @@ def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, with_normal:
except: except:
coords.append(np.zeros(3, 3)) coords.append(np.zeros(3, 3))
# convert coordinates to mesh vertices = coords[i]
vertices = coords[0]
faces = torch.arange(1, len(vertices) + 1).view(-1, 3) faces = torch.arange(1, len(vertices) + 1).view(-1, 3)
# Move to CPU # Move to CPU
@ -225,6 +222,7 @@ def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, with_normal:
return data_utils.to_mesh(vertices, faces, transpose=False, post_process=True) return data_utils.to_mesh(vertices, faces, transpose=False, post_process=True)
class BptMesh: class BptMesh:
def __call__( def __call__(
self, self,
@ -232,9 +230,10 @@ class BptMesh:
temperature: float = 0.5, temperature: float = 0.5,
batch_size: int = 1, batch_size: int = 1,
with_normal: bool = True, with_normal: bool = True,
verbose: bool = False verbose: bool = False,
pc_num: int = 4096
) -> Union[pymeshlab.MeshSet, trimesh.Trimesh]: ) -> Union[pymeshlab.MeshSet, trimesh.Trimesh]:
mesh = bpt_remesh(self, mesh=mesh, temperature=temperature, batch_size=batch_size, with_normal=with_normal) mesh = bpt_remesh(self, mesh=mesh, temperature=temperature, batch_size=batch_size, with_normal=with_normal, pc_num=pc_num)
return mesh return mesh
class FaceReducer: class FaceReducer: