load Sadtalker Checkpoints from .\extensions\SadTalker\checkpoints
Error executing callback ui_tabs_callback for E:\autmatic1111\stable-diffusion-webui-directml\extensions\SadTalker\scripts\extension.py
Traceback (most recent call last):
File "E:\autmatic1111\stable-diffusion-webui-directml\modules\script_callbacks.py", line 125, in ui_tabs_callback
res += c.callback() or []
File "E:\autmatic1111\stable-diffusion-webui-directml\extensions\SadTalker\scripts\extension.py", line 78, in on_ui_tabs
from src.gradio_demo import SadTalker
File "E:\autmatic1111\stable-diffusion-webui-directml/extensions/SadTalker\src\gradio_demo.py", line 3, in
from src.utils.preprocess import CropAndExtract
File "E:\autmatic1111\stable-diffusion-webui-directml/extensions/SadTalker\src\utils\preprocess.py", line 9, in
from src.face3d.models import networks
File "E:\autmatic1111\stable-diffusion-webui-directml/extensions/SadTalker\src\face3d\models_init_.py", line 22, in
from src.face3d.models.base_model import BaseModel
File "E:\autmatic1111\stable-diffusion-webui-directml/extensions/SadTalker\src\face3d\models\base_model.py", line 9, in
from . import networks
File "E:\autmatic1111\stable-diffusion-webui-directml/extensions/SadTalker\src\face3d\models\networks.py", line 19, in
from kornia.geometry import warp_affine
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\kornia_init_.py", line 11, in
from . import augmentation, color, contrib, core, enhance, feature, io, losses, metrics, morphology, tracking, utils, x
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\kornia\augmentation_init_.py", line 1, in
from kornia.augmentation.2d import (
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\kornia\augmentation_2d_init.py", line 3, in
from kornia.augmentation.2d.mix import *
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\kornia\augmentation_2d\mix_init.py", line 1, in
from kornia.augmentation._2d.mix.cutmix import RandomCutMix, RandomCutMixV2
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\kornia\augmentation_2d\mix\cutmix.py", line 7, in
from kornia.augmentation._2d.mix.base import MixAugmentationBase, MixAugmentationBaseV2
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\kornia\augmentation_2d\mix\base.py", line 10, in
from kornia.geometry.boxes import Boxes
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\kornia\geometry\boxes.py", line 582, in
class Boxes3D:
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit_script.py", line 1323, in script
_compile_and_register_class(obj, _rcb, qualified_name)
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit_recursive.py", line 47, in _compile_and_register_class
script_class = torch._C._jit_script_class_compile(qualified_name, ast, defaults, rcb)
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit_recursive.py", line 863, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit_recursive.py", line 863, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit_script.py", line 1340, in script
ast = get_jit_def(obj, obj.name)
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit\frontend.py", line 293, in get_jit_def
return build_def(parsed_def.ctx, fn_def, type_line, def_name, self_name=self_name, pdt_arg_types=pdt_arg_types)
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit\frontend.py", line 331, in build_def
param_list = build_param_list(ctx, py_def.args, self_name, pdt_arg_types)
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\jit\frontend.py", line 355, in build_param_list
raise NotSupportedError(ctx_range, _vararg_kwarg_err)
torch.jit.frontend.NotSupportedError: Compiled functions can't take variable number of arguments or use keyword-only arguments with defaults:
File "E:\autmatic1111\stable-diffusion-webui-directml\modules\devices.py", line 260
def cat(tensors, *args, **kwargs):
~~~~~~~ <--- HERE
_tensors = []
for i in range(len(tensors)):
'_boxes3d_to_polygons3d' is being compiled since it was called from 'Boxes3D.from_tensor'
File "E:\autmatic1111\stable-diffusion-webui-directml\venv\lib\site-packages\kornia\geometry\boxes.py", line 714
raise ValueError("Some boxes have negative depths or 0.")
hexahedrons = _boxes3d_to_polygons3d(xmin, ymin, zmin, width, height, depth)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
hexahedrons = hexahedrons if batched else hexahedrons.squeeze(0)
# Due to some torch.jit.script bug (at least <= 1.9), you need to pass all arguments to __init__ when
which version of the pytorch, kornia are you use?
did you change something?
if you did't change anything than starting with --no-half --precision full did fix the start problem.
now it starts but as always working only with cuda :-( could you please develop a cpu oder directml option?
did you change something? if you did't change anything than starting with --no-half --precision full did fix the start problem.
now it starts but as always working only with cuda :-( could you please develop a cpu oder directml option?
for CPU: https://github.com/Winfredy/SadTalker/issues/151#issuecomment-1507906895
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OpenTalker
