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from kiui.mesh_utils import clean_mesh
import trimesh
import zipfile
import tempfile
import os
import nvdiffrast.torch as dr
def generate3d(model, rgb, ccm, device):
model.renderer = Renderer(tet_grid_size=model.tet_grid_size, camera_angle_num=model.camera_angle_num,
scale=model.input.scale, geo_type=model.geo_type)
color_tri = torch.from_numpy(rgb) / 255
xyz_tri = torch.from_numpy(ccm[:, :, (2, 1, 0)]) / 255
color = color_tri.permute(2, 0, 1)
xyz = xyz_tri.permute(2, 0, 1)
def get_imgs(color):
return torch.stack([color[:, :, 256 * i:256 * (i + 1)] for i in [5, 0, 1, 2, 3, 4]], dim=0)
triplane_color = get_imgs(color).permute(0, 2, 3, 1).unsqueeze(0).to(device)
color = get_imgs(color)
xyz = get_imgs(xyz)
color = get_tri(color, dim=0, blender=True, scale=1).unsqueeze(0)
xyz = get_tri(xyz, dim=0, blender=True, scale=1, fix=True).unsqueeze(0)
triplane = torch.cat([color, xyz], dim=1).to(device)
model.eval()
if model.denoising:
tnew = torch.randint(20, 21, [triplane.shape[0]], dtype=torch.long, device=triplane.device)
noise_new = torch.randn_like(triplane) * 0.5 + 0.5
triplane = model.scheduler.add_noise(triplane, noise_new, tnew)
with torch.no_grad():
triplane_feature2 = model.unet2(triplane, tnew)
else:
with torch.no_grad():
triplane_feature2 = model.unet2(triplane)
data_config = {
'resolution': [1024, 1024],
"triview_color": triplane_color.to(device),
}
with torch.no_grad():
verts, faces = model.decode(data_config, triplane_feature2)
data_config['verts'] = verts[0]
data_config['faces'] = faces
verts, faces = clean_mesh(
data_config['verts'].squeeze().cpu().numpy().astype(np.float32),
data_config['faces'].squeeze().cpu().numpy().astype(np.int32),
repair=False, remesh=True, remesh_size=0.005, remesh_iters=1
)
data_config['verts'] = torch.from_numpy(verts).cuda().contiguous()
data_config['faces'] = torch.from_numpy(faces).cuda().contiguous()
# Create base filename
temp_path = tempfile.NamedTemporaryFile(suffix="", delete=False).name
obj_base = temp_path # no extension
# Export mesh with UV and PNG
glctx = dr.RasterizeCudaContext()
model.export_mesh_wt_uv(
glctx, data_config, obj_base, "", device, res=(1024, 1024), tri_fea_2=triplane_feature2
)
# Load .obj with texture and export .glb
mesh = trimesh.load(obj_base + ".obj", process=False)
mesh.export(obj_base + ".glb")
return obj_base + ".glb"
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