id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
34,645 | import base64
import gradio as gr
import json
from typing import List, Dict, Any, Tuple
from annotator.openpose import decode_json_as_poses, draw_poses
from annotator.openpose.animalpose import draw_animalposes
from scripts.controlnet_ui.modal import ModalInterface
from modules import shared
from scripts.logging import... | null |
34,646 | import os
import gradio as gr
from typing import Dict, List
from modules import scripts
from scripts.infotext import parse_unit, serialize_unit
from scripts.controlnet_ui.tool_button import ToolButton
from scripts.logging import logger
from scripts.processor import preprocessor_filters
from scripts import external_code... | null |
34,647 | import os
import gradio as gr
from typing import Dict, List
from modules import scripts
from scripts.infotext import parse_unit, serialize_unit
from scripts.controlnet_ui.tool_button import ToolButton
from scripts.logging import logger
from scripts.processor import preprocessor_filters
from scripts import external_code... | null |
34,648 | from typing import List, Tuple, Union
import gradio as gr
from modules.processing import StableDiffusionProcessing
from scripts import external_code
from scripts.logging import logger
def field_to_displaytext(fieldname: str) -> str:
return " ".join([word.capitalize() for word in fieldname.split("_")])
logger = log... | null |
34,649 | from typing import List, Tuple, Union
import gradio as gr
from modules.processing import StableDiffusionProcessing
from scripts import external_code
from scripts.logging import logger
def displaytext_to_field(text: str) -> str:
def parse_value(value: str) -> Union[str, float, int, bool]: # Plain string.
def parse_uni... | null |
34,650 | import torch
from contextlib import contextmanager
from typing import Union, Tuple
def recursive_bind_lora(obj, key, value):
if obj is None:
return
if '.' in key:
k1, k2 = key.split('.', 1)
recursive_bind_lora(getattr(obj, k1, None), k2, value)
else:
target = getattr(obj, key... | null |
34,651 | import torch
from contextlib import contextmanager
from typing import Union, Tuple
def torch_dfs(model: torch.nn.Module):
result = [model]
for child in model.children():
result += torch_dfs(child)
return result
def unbind_control_lora(control_lora_model):
for m in torch_dfs(control_lora_model):... | null |
34,652 | import cv2
import numpy as np
lvmin_kernels = []
lvmin_kernels += [np.rot90(x, k=0, axes=(0, 1)) for x in lvmin_kernels_raw]
lvmin_kernels += [np.rot90(x, k=1, axes=(0, 1)) for x in lvmin_kernels_raw]
lvmin_kernels += [np.rot90(x, k=2, axes=(0, 1)) for x in lvmin_kernels_raw]
lvmin_kernels += [np.rot90(x, k=3, axes=(0,... | null |
34,653 | import cv2
import numpy as np
def nake_nms(x):
f1 = np.array([[0, 0, 0], [1, 1, 1], [0, 0, 0]], dtype=np.uint8)
f2 = np.array([[0, 1, 0], [0, 1, 0], [0, 1, 0]], dtype=np.uint8)
f3 = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]], dtype=np.uint8)
f4 = np.array([[0, 0, 1], [0, 1, 0], [1, 0, 0]], dtype=np.uin... | null |
34,654 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,655 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,656 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,657 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,658 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,659 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,660 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,661 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,662 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,663 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,664 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,665 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,666 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,667 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,668 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,669 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,670 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,671 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,672 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,673 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,674 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,675 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,676 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,677 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,678 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,679 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,680 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,681 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,682 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,683 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,684 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,685 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,686 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,687 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,688 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,689 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,690 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,691 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,692 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,693 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,694 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,695 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,696 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,697 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,698 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,699 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,700 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,701 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,702 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,703 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | null |
34,704 | import os
import cv2
import numpy as np
import torch
import math
from dataclasses import dataclass
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from annotator.util import HWC3
from typing import Callable, Tuple, Union
from modules.safe import Extra
from modules import devices
from scripts.lo... | FaceID plus uses both face_embeding from insightface and clip_embeding from clip. |
34,705 | import torch
import hashlib
import numpy as np
import torch.nn as nn
from functools import partial
from typing import Optional, Any
from scripts.logging import logger
from scripts.enums import ControlModelType, AutoMachine, HiResFixOption
from scripts.controlmodel_ipadapter import ImageEmbed
from scripts.controlnet_spa... | null |
34,706 | import torch
import hashlib
import numpy as np
import torch.nn as nn
from functools import partial
from typing import Optional, Any
from scripts.logging import logger
from scripts.enums import ControlModelType, AutoMachine, HiResFixOption
from scripts.controlmodel_ipadapter import ImageEmbed
from scripts.controlnet_spa... | null |
34,707 | import torch
import hashlib
import numpy as np
import torch.nn as nn
from functools import partial
from typing import Optional, Any
from scripts.logging import logger
from scripts.enums import ControlModelType, AutoMachine, HiResFixOption
from scripts.controlmodel_ipadapter import ImageEmbed
from scripts.controlnet_spa... | null |
34,708 | import torch
import hashlib
import numpy as np
import torch.nn as nn
from functools import partial
from typing import Optional, Any
from scripts.logging import logger
from scripts.enums import ControlModelType, AutoMachine, HiResFixOption
from scripts.controlmodel_ipadapter import ImageEmbed
from scripts.controlnet_spa... | null |
34,709 | import torch
import hashlib
import numpy as np
import torch.nn as nn
from functools import partial
from typing import Optional, Any
from scripts.logging import logger
from scripts.enums import ControlModelType, AutoMachine, HiResFixOption
from scripts.controlmodel_ipadapter import ImageEmbed
from scripts.controlnet_spa... | null |
34,710 | import torch
import hashlib
import numpy as np
import torch.nn as nn
from functools import partial
from typing import Optional, Any
from scripts.logging import logger
from scripts.enums import ControlModelType, AutoMachine, HiResFixOption
from scripts.controlmodel_ipadapter import ImageEmbed
from scripts.controlnet_spa... | null |
34,711 | import torch
import hashlib
import numpy as np
import torch.nn as nn
from functools import partial
from typing import Optional, Any
from scripts.logging import logger
from scripts.enums import ControlModelType, AutoMachine, HiResFixOption
from scripts.controlmodel_ipadapter import ImageEmbed
from scripts.controlnet_spa... | null |
34,712 | import torch
import hashlib
import numpy as np
import torch.nn as nn
from functools import partial
from typing import Optional, Any
from scripts.logging import logger
from scripts.enums import ControlModelType, AutoMachine, HiResFixOption
from scripts.controlmodel_ipadapter import ImageEmbed
from scripts.controlnet_spa... | null |
34,713 | import os.path
import stat
import functools
from collections import OrderedDict
from modules import shared, scripts, sd_models
from modules.paths import models_path
from scripts.processor import *
import scripts.processor as processor
from scripts.utils import ndarray_lru_cache
from scripts.logging import logger
from ... | null |
34,714 | import os.path
import stat
import functools
from collections import OrderedDict
from modules import shared, scripts, sd_models
from modules.paths import models_path
from scripts.processor import *
import scripts.processor as processor
from scripts.utils import ndarray_lru_cache
from scripts.logging import logger
from ... | null |
34,715 | import torch
import torch.nn as nn
from collections import OrderedDict
from copy import deepcopy
from modules import devices
th = TorchHijackForUnet()
def align(hint, size):
b, c, h1, w1 = hint.shape
h, w = size
if h != h1 or w != w1:
hint = th.nn.functional.interpolate(hint, size=size, mode="near... | null |
34,716 | import torch
import torch.nn as nn
from collections import OrderedDict
from copy import deepcopy
from modules import devices
The provided code snippet includes necessary dependencies for implementing the `conv_nd` function. Write a Python function `def conv_nd(dims, *args, **kwargs)` to solve the following problem:
Cr... | Create a 1D, 2D, or 3D convolution module. |
34,717 | import torch
import torch.nn as nn
from collections import OrderedDict
from copy import deepcopy
from modules import devices
The provided code snippet includes necessary dependencies for implementing the `avg_pool_nd` function. Write a Python function `def avg_pool_nd(dims, *args, **kwargs)` to solve the following pro... | Create a 1D, 2D, or 3D average pooling module. |
34,718 | import os
from copy import copy
from typing import Tuple, List
from modules import img2img, processing, shared, script_callbacks
from scripts import external_code
from scripts.enums import InputMode
def unhijack_function(module, name, new_name):
if hasattr(module, new_name):
setattr(module, name, getattr(mo... | null |
34,719 | import os
from copy import copy
from typing import Tuple, List
from modules import img2img, processing, shared, script_callbacks
from scripts import external_code
from scripts.enums import InputMode
class InputMode(Enum):
# Single image to a single ControlNet unit.
SIMPLE = "simple"
# Input is a directory.... | null |
34,720 | import copy
import os
import torch
from pathlib import Path
from typing import NamedTuple
from modules import devices
from scripts.adapter import PlugableAdapter, Adapter, StyleAdapter, Adapter_light
from scripts.controlnet_lllite import PlugableControlLLLite
from scripts.cldm import PlugableControlModel
from scripts.c... | null |
34,721 | import copy
import os
import torch
from pathlib import Path
from typing import NamedTuple
from modules import devices
from scripts.adapter import PlugableAdapter, Adapter, StyleAdapter, Adapter_light
from scripts.controlnet_lllite import PlugableControlLLLite
from scripts.cldm import PlugableControlModel
from scripts.c... | null |
34,722 | import gc
import tracemalloc
import os
import logging
from collections import OrderedDict
from copy import copy, deepcopy
from typing import Dict, Optional, Tuple, List, Union
import modules.scripts as scripts
from modules import shared, devices, script_callbacks, processing, masking, images
from modules.api.api import... | null |
34,723 | import gc
import tracemalloc
import os
import logging
from collections import OrderedDict
from copy import copy, deepcopy
from typing import Dict, Optional, Tuple, List, Union
import modules.scripts as scripts
from modules import shared, devices, script_callbacks, processing, masking, images
from modules.api.api import... | null |
34,724 | import gc
import tracemalloc
import os
import logging
from collections import OrderedDict
from copy import copy, deepcopy
from typing import Dict, Optional, Tuple, List, Union
import modules.scripts as scripts
from modules import shared, devices, script_callbacks, processing, masking, images
from modules.api.api import... | null |
34,725 | import gc
import tracemalloc
import os
import logging
from collections import OrderedDict
from copy import copy, deepcopy
from typing import Dict, Optional, Tuple, List, Union
import modules.scripts as scripts
from modules import shared, devices, script_callbacks, processing, masking, images
from modules.api.api import... | null |
34,726 | import gc
import tracemalloc
import os
import logging
from collections import OrderedDict
from copy import copy, deepcopy
from typing import Dict, Optional, Tuple, List, Union
import modules.scripts as scripts
from modules import shared, devices, script_callbacks, processing, masking, images
from modules.api.api import... | Prepare an image mask for the inpainting process. This function takes as input a PIL Image object and an instance of the StableDiffusionProcessing class, and performs the following steps to prepare the mask: 1. Convert the mask to grayscale (mode "L"). 2. If the 'inpainting_mask_invert' attribute of the processing inst... |
34,727 | import gc
import tracemalloc
import os
import logging
from collections import OrderedDict
from copy import copy, deepcopy
from typing import Dict, Optional, Tuple, List, Union
import modules.scripts as scripts
from modules import shared, devices, script_callbacks, processing, masking, images
from modules.api.api import... | Set the random seed for NumPy based on the provided parameters. Args: p (processing.StableDiffusionProcessing): The instance of the StableDiffusionProcessing class. Returns: Optional[int]: The computed random seed if successful, or None if an exception occurs. This function sets the random seed for NumPy using the seed... |
34,728 | import gc
import tracemalloc
import os
import logging
from collections import OrderedDict
from copy import copy, deepcopy
from typing import Dict, Optional, Tuple, List, Union
import modules.scripts as scripts
from modules import shared, devices, script_callbacks, processing, masking, images
from modules.api.api import... | null |
34,729 | import gc
import tracemalloc
import os
import logging
from collections import OrderedDict
from copy import copy, deepcopy
from typing import Dict, Optional, Tuple, List, Union
import modules.scripts as scripts
from modules import shared, devices, script_callbacks, processing, masking, images
from modules.api.api import... | null |
34,730 | import math
from typing import List, NamedTuple, Tuple, Union
import torch
import torch.nn as nn
import numpy as np
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from scripts.logging import logger
def FeedForward(dim, mult=4):
inner_dim = int(dim * mult)
return nn.Sequential(
... | null |
34,731 | import math
from typing import List, NamedTuple, Tuple, Union
import torch
import torch.nn as nn
import numpy as np
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from scripts.logging import logger
def reshape_tensor(x, heads):
bs, length, width = x.shape
#(bs, length, width) --> (bs,... | null |
34,732 | import math
from typing import List, NamedTuple, Tuple, Union
import torch
import torch.nn as nn
import numpy as np
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from scripts.logging import logger
def get_block(model, flag):
def hack_blk(block, function, type):
def set_model_attn2_replace(mo... | null |
34,733 | import math
from typing import List, NamedTuple, Tuple, Union
import torch
import torch.nn as nn
import numpy as np
from transformers.models.clip.modeling_clip import CLIPVisionModelOutput
from scripts.logging import logger
def get_block(model, flag):
return {
'input': model.input_blocks, 'middle': [model.m... | null |
34,734 | import sys
import pytest
original = list(sys.modules)
def test_cli_startup(testdir):
# Measure the import time because running via subprocess does not give proper benchmark results under codspeed
import schemathesis.cli
for key in list(sys.modules):
# PyO3 modules can't be initialized multiple ti... | null |
34,735 | import pytest
import schemathesis
def test_schema_resolution():
raw_schema = {
"openapi": "3.0.0",
"info": {"title": "Example API", "description": "An API to test Schemathesis", "version": "1.0.0"},
"components": {
"schemas": {
"Node": {
"type... | null |
34,736 | from __future__ import annotations
import argparse
import datetime
import re
import sys
from typing import Generator
PYPROJECT_PATH = "pyproject.toml"
CHANGELOG_PATH = "docs/changelog.rst"
def _read_changelog() -> list[str]:
with open(CHANGELOG_PATH) as f:
return f.readlines()
def _find_line_by_prefix(lines... | null |
34,737 | from __future__ import annotations
import argparse
import datetime
import re
import sys
from typing import Generator
def _read_changelog() -> list[str]:
with open(CHANGELOG_PATH) as f:
return f.readlines()
def _find_line_by_prefix(lines: list[str], prefix: str) -> int | None:
return next((i for i, line ... | null |
34,738 | from __future__ import annotations
import argparse
import datetime
import re
import sys
from typing import Generator
def build_parser() -> argparse.ArgumentParser:
argument_parser = argparse.ArgumentParser(description="Manage Schemathesis changelog.")
subparsers = argument_parser.add_subparsers(title="subcomma... | null |
34,739 | from __future__ import annotations
import threading
from collections.abc import MutableMapping, MutableSequence
from dataclasses import dataclass, replace
from typing import TYPE_CHECKING, Any, cast
from urllib.parse import parse_qs, urlencode, urlsplit, urlunsplit
from .constants import NOT_SET
class Config:
def ... | null |
34,740 | from __future__ import annotations
import threading
from collections.abc import MutableMapping, MutableSequence
from dataclasses import dataclass, replace
from typing import TYPE_CHECKING, Any, cast
from urllib.parse import parse_qs, urlencode, urlsplit, urlunsplit
from .constants import NOT_SET
class Config:
"""Co... | null |
34,741 | from __future__ import annotations
import threading
from collections.abc import MutableMapping, MutableSequence
from dataclasses import dataclass, replace
from typing import TYPE_CHECKING, Any, cast
from urllib.parse import parse_qs, urlencode, urlsplit, urlunsplit
from .constants import NOT_SET
class Config:
"""Co... | null |
34,742 | from __future__ import annotations
from dataclasses import dataclass
from typing import TYPE_CHECKING, Optional
from .exceptions import UsageError
from .parameters import ParameterSet
from .types import GenericTest
class ParameterSet(Generic[P]):
"""A set of parameters for the same location."""
items: list[P]... | null |
34,743 | from __future__ import annotations
from dataclasses import dataclass
from typing import TYPE_CHECKING, Optional
from .exceptions import UsageError
from .parameters import ParameterSet
from .types import GenericTest
class CaseOverride:
"""Overrides for various parts of a test case."""
query: dict[str, str]
h... | null |
34,744 | from __future__ import annotations
from dataclasses import dataclass
from typing import TYPE_CHECKING, Optional
from .exceptions import UsageError
from .parameters import ParameterSet
from .types import GenericTest
class CaseOverride:
"""Overrides for various parts of a test case."""
query: dict[str, str]
h... | null |
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