↓ 1 callersFunctionload_common_sd15_pipe(base_model=DEFAULT_BASE_MODEL, device="auto", controlnet=None, ip_adapter=False, plus_model=True, torch_dtype
scripts/sd_model_zoo.py:68
↓ 1 callersFunctionmake_star_cameras(az_count,pol_count,distance:float=10.,r=None,image_size=[512,512],device='cuda')
mesh_reconstruction/func.py:80
↓ 1 callersFunctionrefine_lr_with_sd(pil_image_list, concept_img_list, control_image_list, prompt_list, pipe=None, strength=0.35, neg_prompt_list=
scripts/refine_lr_to_sr.py:11
↓ 1 callersFunctionrender_mesh_vertex_color(mesh, cameras, H, W, blur_radius=0.0, faces_per_pixel=1, bkgd=(0., 0., 0.), dtype=torch.float32, device="cuda
mesh_reconstruction/render.py:76
↓ 1 callersFunctionrun_mesh_refine(vertices, faces, pils: List[Image.Image], steps=100, start_edge_len=0.02, end_edge_len=0.005, decay=0.99, upd
mesh_reconstruction/refine.py:12
↓ 1 callersFunctionsplit_edges(
vertices:torch.Tensor, #V,3 first unused
faces:torch.Tensor, #F,3 long, 0 for unused
mesh_reconstruction/remesh.py:148
Method__call__(
self, attn: Attention, hidden_states, encoder_hidden_states=None, attention_mask=None,
ref_d
custum_3d_diffusion/custum_modules/attention_processors.py:75
Method__init__(self,
vertices:torch.Tensor, #V,3
faces:torch.Tensor, #F,3
lr=0.3, #lear
mesh_reconstruction/opt.py:64
Method__init__(
self,
mv: torch.Tensor, #C,4,4
proj: torch.Tensor, #C,4,4
im
mesh_reconstruction/render.py:21
Methodforward_step(self, batch, unet, shared_modules, noise_scheduler: DDPMScheduler, global_step)
custum_3d_diffusion/trainings/image2mvimage_trainer.py:81
Methodforward_step(self, batch, unet, shared_modules, noise_scheduler: DDPMScheduler, global_step)
custum_3d_diffusion/trainings/image2image_trainer.py:32