id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
702 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
def merge_quotes(t):
return re.sub('(\s*"+\s*)+', ' " ', t) | null |
703 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
def remove_comma_numbers(t):
def _f(t):
return re.sub("(\d),(\d{3})", r"\1\2", t)
return _f(_f(t)) | null |
704 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
temp_token = "xtokx"
def pre_process_dot_numbers(t):
return re.sub("(\w)\.(\w)", rf"\1{temp_token}dot{temp_token}\2", t) | null |
705 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
temp_token = "xtokx"
def post_process_dot_numbers(t):
return re.sub(f"{temp_token}dot{temp_token}", ".", t) | null |
706 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
temp_token = "xtokx"
def pre_process_quotes(t):
# allows quotes only for 's, 't, 'd, 'm, 'll, 're, 've
return re.sub(
r"'(?=([std... | null |
707 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
temp_token = "xtokx"
def post_process_quotes(t):
return re.sub(f"{temp_token}quote{temp_token}", "'", t) | null |
708 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
temp_token = "xtokx"
def pre_process_dates(t):
return re.sub("(\d)/(\d)", rf"\1{temp_token}slash{temp_token}\2", t) | null |
709 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
temp_token = "xtokx"
def post_process_dates(t):
return re.sub(f"{temp_token}slash{temp_token}", "/", t) | null |
710 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
def merge_commas(t):
return re.sub("(\s*,+\s*)+", ", ", t) | null |
711 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
def add_space_after_commas(t):
return re.sub(",", ", ", t) | null |
712 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
The provided code snippet includes necessary dependencies for implementing the `handle_special_chars` function. Write a Python function `def hand... | Handle special characters |
713 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
The provided code snippet includes necessary dependencies for implementing the `expand_hashtags` function. Write a Python function `def expand_ha... | Remove # and try to split words |
714 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
_re_ignore_chars = r"[_#\\]"
The provided code snippet includes necessary dependencies for implementing the `ignore_chars` function. Write a Pyth... | Ignore useless characters |
715 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
The provided code snippet includes necessary dependencies for implementing the `remove_extra_spaces` function. Write a Python function `def remov... | Remove extra spaces (including \t and \n) |
716 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
The provided code snippet includes necessary dependencies for implementing the `remove_repeating_chars` function. Write a Python function `def re... | If the same character is present 4+ times (not 3 because of roman 'VIII'), replace with single instance |
717 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
def remove_urls(t):
return re.sub(r"http\S+", "", t) | null |
718 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
def remove_html_tags(t):
return re.sub("<[^<]+?>", " ", t) | null |
719 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
def remove_first_last_commas(t):
t = t.strip()
t = t[:-1] if t and t[-1] == "," else t
t = t[1:] if t and t[0] == "," else t
retu... | null |
720 | import html
import math
import random
import re
from pathlib import Path
import emoji
import ftfy
from huggingface_hub import hf_hub_download
from unidecode import unidecode
def remove_wiki_ref(t):
t = re.sub(r"\A\s*\[\d+\]", "", t)
return re.sub(r"\[\d+\]\s*\Z", "", t) | null |
721 | import math
from functools import partial
from typing import Any, Dict, Optional, Tuple
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from einops import rearrange
from flax.core.frozen_dict import unfreeze
from flax.linen import combine_masks, make_causal_mask
from flax.linen import partitionin... | Implementation of "Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations" https://arxiv.org/abs/2202.06499 |
722 | import math
from functools import partial
from typing import Any, Dict, Optional, Tuple
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from einops import rearrange
from flax.core.frozen_dict import unfreeze
from flax.linen import combine_masks, make_causal_mask
from flax.linen import partitionin... | null |
723 | import math
from functools import partial
from typing import Any, Dict, Optional, Tuple
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from einops import rearrange
from flax.core.frozen_dict import unfreeze
from flax.linen import combine_masks, make_causal_mask
from flax.linen import partitionin... | null |
724 | import math
from functools import partial
from typing import Any, Dict, Optional, Tuple
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from einops import rearrange
from flax.core.frozen_dict import unfreeze
from flax.linen import combine_masks, make_causal_mask
from flax.linen import partitionin... | Computes dot-product attention weights given query and key. mask is included into the bias. Adapted from flax.linen.attention.dot_product_attention_weights" |
725 | import re
from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P
_unmatched = object()
def _replacement_rules(rules):
def replace(key, val):
for rule, replacement in rules:
if _match(rule, key):
... | null |
726 | import base64
from io import BytesIO
import requests
from PIL import Image
class ServiceError(Exception):
def __init__(self, status_code):
def get_model_version(url):
r = requests.get(url)
if r.status_code == 200:
version = r.json()["version"]
return version
else:
raise Service... | null |
727 | import os
import gradio as gr
from backend import get_images_from_backend
backend_url = os.environ["BACKEND_SERVER"] + "/generate"
def get_images_from_backend(prompt, backend_url):
def infer(prompt):
response = get_images_from_backend(prompt, backend_url)
return response["images"] | null |
728 | import base64
from io import BytesIO
import requests
from PIL import Image
class ServiceError(Exception):
def __init__(self, status_code):
self.status_code = status_code
def get_images_from_backend(prompt, backend_url):
r = requests.post(backend_url, json={"prompt": prompt})
if r.status_code == 200... | null |
729 | import base64
from io import BytesIO
import requests
from PIL import Image
class ServiceError(Exception):
def __init__(self, status_code):
self.status_code = status_code
def get_model_version(url):
r = requests.get(url)
if r.status_code == 200:
version = r.json()["version"]
return v... | null |
730 | import io
import logging
import os
import sys
import tempfile
import time
from dataclasses import asdict, dataclass, field
from functools import partial
from pathlib import Path
from typing import Any, Callable, NamedTuple, Optional
import datasets
import flax
import jax
import jax.numpy as jnp
import jaxlib
import num... | Split params between scanned and non-scanned |
731 | import io
import logging
import os
import sys
import tempfile
import time
from dataclasses import asdict, dataclass, field
from functools import partial
from pathlib import Path
from typing import Any, Callable, NamedTuple, Optional
import datasets
import flax
import jax
import jax.numpy as jnp
import jaxlib
import num... | null |
732 | import io
import logging
import os
import sys
import tempfile
import time
from dataclasses import asdict, dataclass, field
from functools import partial
from pathlib import Path
from typing import Any, Callable, NamedTuple, Optional
import datasets
import flax
import jax
import jax.numpy as jnp
import jaxlib
import num... | Keep only trainable parameters |
733 | import io
import logging
import os
import sys
import tempfile
import time
from dataclasses import asdict, dataclass, field
from functools import partial
from pathlib import Path
from typing import Any, Callable, NamedTuple, Optional
import datasets
import flax
import jax
import jax.numpy as jnp
import jaxlib
import num... | Reinitialize trainable embeddings |
734 | import functools
from typing import Any, List, Optional, Sequence, Union
import jax
import jax.numpy as jnp
import numpy as np
from flax import struct
from jax import lax
def sliced_transposed_product(
mat,
block_size,
axes=(-1,),
precision=lax.Precision.DEFAULT,
):
"""Returns the blocked slices rep... | Returns the concatenated slices representing mat*mat^T. Args: mat: The matrix for which we will compute mat*mat^T. It does not need to be square, and may be batched. block_size: The size of row blocks to compute. axes: Axes to use for the contraction. precision: The precision to use in each computation. Raises: ValueEr... |
735 | import functools
from typing import Any, List, Optional, Sequence, Union
import jax
import jax.numpy as jnp
import numpy as np
from flax import struct
from jax import lax
class SlicedSymmetricMatrix:
"""A symmetric matrix represented by lower-triangular block row slices.
For example, the symmetric matrix M = [[... | Implements the blocked equivalent of SYRK. Specifically, the symmetric matrix (represented using lower-triangular block rows) is updated using the sliced product of mat. Args: symmetric_matrix: The symmetric matrix to update. mat: The matrix to use for the update = mat * mat^T. The number of rows should match that of s... |
736 | import functools
from typing import Any, List, Optional, Sequence, Union
import jax
import jax.numpy as jnp
import numpy as np
from flax import struct
from jax import lax
def slice_symmetric_matrix(
mat,
block_size,
):
"""Returns sliced row blocks.
Args:
mat: A symmetric matrix.
block_size: ... | Returns the concatenated sliced row blocks. Args: mat: A symmetric matrix. block_size: The size of the row slices. |
737 | import functools
from typing import Any, List, Optional, Sequence, Union
import jax
import jax.numpy as jnp
import numpy as np
from flax import struct
from jax import lax
def num_blocks_from_total_blocks(total_blocks):
"""Returns the number of blocks (i.e.
block rows) from the total blocks.
This is the inve... | Returns the diagonal of the symmetric matrix. Args: mat: The symmetric matrix represented in concatenated block form. |
738 | import functools
from typing import Any, List, Optional, Sequence, Union
import jax
import jax.numpy as jnp
import numpy as np
from flax import struct
from jax import lax
The provided code snippet includes necessary dependencies for implementing the `diag_as_concat` function. Write a Python function `def diag_as_conca... | Returns the representation of a diagonal matrix in symmetric block form. Args: diag: The 1D array for the diagonals. block_size: The size of blocks to use. Must divide the length of diag. |
739 | import functools
from typing import Any, List, Optional, Sequence, Union
import jax
import jax.numpy as jnp
import numpy as np
from flax import struct
from jax import lax
def num_blocks_from_total_blocks(total_blocks):
"""Returns the number of blocks (i.e.
block rows) from the total blocks.
This is the inve... | Returns the max of the absolute values of the rows of the full matrix. For example the symmetric matrix M = [[1, 6], [6, 2]] is represented using mat = [1, 6, 2] with block_size = 1. In this case the function returns the aboslute row maxes of the original symmetric matrix, [6, 6]. Args: mat: The symmetric matrix repres... |
740 | import functools
from typing import Any, List, Optional, Sequence, Union
import jax
import jax.numpy as jnp
import numpy as np
from flax import struct
from jax import lax
def num_blocks_from_total_blocks(total_blocks):
"""Returns the number of blocks (i.e.
block rows) from the total blocks.
This is the inve... | Returns the symmetric block-concatenated matrix multiplied by a vector. Specifically, each value in the vector is multiplied by a row of the full matrix. That is, the vector is broadcast and multiplied element-wise. Note this would be the transpose of full_mat * vec if full_mat represented the full symmetric matrix. Ar... |
741 | import functools
from typing import Any, NamedTuple
import chex
import jax
import jax.numpy as jnp
import optax
from .quantization_utils import QuantizedValue
class SM3State(NamedTuple):
count: chex.Array
stats: Any
class ParameterStats(NamedTuple):
"""State associated to each parameter of the model being t... | SM3 optimizer. Memory-Efficient Adaptive Optimization, Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer https://arxiv.org/abs/1901.11150 Args: learning_rate: the step size used to update the parameters. beta1: momentum parameter. beta2: second moment averaging parameter. diagonal_epsilon: epsilon for sm3 normalize_g... |
742 | import enum
import functools
import itertools
from typing import Any, Callable, List, NamedTuple, Optional, Tuple, Union
import chex
import jax
import jax.numpy as jnp
import numpy as np
import optax
from absl import logging
from flax import struct
from jax import lax
from jax.experimental import pjit
from jax.experime... | Merge small dimensions. If there are some small dimensions, we collapse them: e.g. [1, 2, 512, 1, 2048, 1, 3, 4] --> [1024, 2048, 12] if max_dim = 1024 [1, 2, 768, 1, 2048] --> [2, 768, 2048] Args: shape_to_merge: Shape to merge small dimensions. max_dim: Maximal dimension of output shape used in merging. Returns: Merg... |
743 | import enum
import functools
import itertools
from typing import Any, Callable, List, NamedTuple, Optional, Tuple, Union
import chex
import jax
import jax.numpy as jnp
import numpy as np
import optax
from absl import logging
from flax import struct
from jax import lax
from jax.experimental import pjit
from jax.experime... | Returns the padded blocked symmetric matrix. The size of the padded matrix will be: [symmetric_block_size, symmetric_block_size * max_num_blocks] The input matrix can either: - Be square with size less or equal to symmetric_block_size. In this case, mat will first be padded to a square matrix of size symmetric_block_si... |
744 | import enum
import functools
import itertools
from typing import Any, Callable, List, NamedTuple, Optional, Tuple, Union
import chex
import jax
import jax.numpy as jnp
import numpy as np
import optax
from absl import logging
from flax import struct
from jax import lax
from jax.experimental import pjit
from jax.experime... | Updated statistics via weighted average with new Gram matrix. Returns w₁ R + w₂ Gᵀ G where R is `old_stats` and G is the matrix whose columns are the flattened slices of the tensor `g` along the given `axis`. (So, `old_stats` and the returned matrix have dimensions n x n where n = `g.shape[axis]`). Args: old_stats: Old... |
745 | import enum
import functools
import itertools
from typing import Any, Callable, List, NamedTuple, Optional, Tuple, Union
import chex
import jax
import jax.numpy as jnp
import numpy as np
import optax
from absl import logging
from flax import struct
from jax import lax
from jax.experimental import pjit
from jax.experime... | Distributed Shampoo optimizer. Distributed Shampoo is a second-order preconditioned method (concretely, a variant of full-matrix Adagrad), that provides significant convergence and wall-clock time improvements compared to conventional first-order methods, and that has been shown to scale to large state-of-the-art deep ... |
746 | import os
import signal
import sys
import time
import warnings
import shutil
import numpy
import onnxruntime
from time import sleep
from argparse import ArgumentParser, HelpFormatter
import facefusion.choices
import facefusion.globals
from facefusion.face_analyser import get_one_face, get_average_face
from facefusion.f... | null |
747 | from configparser import ConfigParser
from typing import Any, Optional, List
from facefusion.filesystem import resolve_relative_path
CONFIG = None
def clear_config() -> None:
global CONFIG
CONFIG = None | null |
748 | from configparser import ConfigParser
from typing import Any, Optional, List
from facefusion.filesystem import resolve_relative_path
def get_value_by_notation(key : str) -> Optional[Any]:
config = get_config()
if '.' in key:
section, name = key.split('.')
if section in config and name in config[section]:
retur... | null |
749 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, webcam_options, source, webcam
def pre_check() -> bool:
return True | null |
750 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, webcam_options, source, webcam
def pre_render() -> bool:
return True | null |
751 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, webcam_options, source, webcam
def render() -> gradio.Blocks:
with gradio.Blocks() as layout:
with gradio.Row():
with gradio.Column(scale = 2):
with gradio.Blocks():
... | null |
752 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, webcam_options, source, webcam
def listen() -> None:
frame_processors.listen()
frame_processors_options.listen()
execution.listen()
execution_thread_count.listen()
source.liste... | null |
753 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, webcam_options, source, webcam
def run(ui : gradio.Blocks) -> None:
ui.queue(concurrency_count = 2).launch(show_api = False, quiet = True) | null |
754 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, temp_frame, output_options, common_options, source, target, output, preview, trim_frame, face_analyser, face_selector, face_masker
def pre_check() -> ... | null |
755 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, temp_frame, output_options, common_options, source, target, output, preview, trim_frame, face_analyser, face_selector, face_masker
def pre_render() ->... | null |
756 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, temp_frame, output_options, common_options, source, target, output, preview, trim_frame, face_analyser, face_selector, face_masker
def render() -> gra... | null |
757 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, temp_frame, output_options, common_options, source, target, output, preview, trim_frame, face_analyser, face_selector, face_masker
def listen() -> Non... | null |
758 | import gradio
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, temp_frame, output_options, common_options, source, target, output, preview, trim_frame, face_analyser, face_selector, face_masker
def run(ui : gradio... | null |
759 | import gradio
import facefusion.globals
from facefusion.download import conditional_download
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, benchmark_options, benchmark
def conditional_download(download_director... | null |
760 | import gradio
import facefusion.globals
from facefusion.download import conditional_download
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, benchmark_options, benchmark
def pre_render() -> bool:
return True | null |
761 | import gradio
import facefusion.globals
from facefusion.download import conditional_download
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, benchmark_options, benchmark
def benchmark(target_path : str, benchmark... | null |
762 | import gradio
import facefusion.globals
from facefusion.download import conditional_download
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, benchmark_options, benchmark
def benchmark(target_path : str, benchmark... | null |
763 | import gradio
import facefusion.globals
from facefusion.download import conditional_download
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, benchmark_options, benchmark
def run(ui : gradio.Blocks) -> None:
ui.q... | null |
764 | from typing import List, Optional
import gradio
import onnxruntime
import facefusion.globals
from facefusion import wording
from facefusion.face_analyser import clear_face_analyser
from facefusion.processors.frame.core import clear_frame_processors_modules
from facefusion.execution_helper import encode_execution_provid... | null |
765 | from typing import List, Optional
import gradio
import onnxruntime
import facefusion.globals
from facefusion import wording
from facefusion.face_analyser import clear_face_analyser
from facefusion.processors.frame.core import clear_frame_processors_modules
from facefusion.execution_helper import encode_execution_provid... | null |
766 | from typing import Optional, Generator, Deque, List
import os
import platform
import subprocess
import cv2
import gradio
from time import sleep
from concurrent.futures import ThreadPoolExecutor
from collections import deque
from tqdm import tqdm
import facefusion.globals
from facefusion import logger, wording
from face... | null |
767 | from typing import Optional, Generator, Deque, List
import os
import platform
import subprocess
import cv2
import gradio
from time import sleep
from concurrent.futures import ThreadPoolExecutor
from collections import deque
from tqdm import tqdm
import facefusion.globals
from facefusion import logger, wording
from face... | null |
768 | from typing import Optional, Tuple, List
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import FaceMaskType, FaceMaskRegion
from facefusion.uis.core import register_ui_component
FACE_MASK_TYPES_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = Non... | null |
769 | from typing import Optional, Tuple, List
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import FaceMaskType, FaceMaskRegion
from facefusion.uis.core import register_ui_component
FACE_MASK_TYPES_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = Non... | null |
770 | from typing import Optional
import gradio
from facefusion import wording
from facefusion.uis.core import register_ui_component
from facefusion.uis.components.benchmark import BENCHMARKS
BENCHMARK_RUNS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
BENCHMARK_CYCLES_SLIDER : Optional[gradio.Button] = None
def re... | null |
771 | from typing import Tuple, Optional
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.core import conditional_process
from facefusion.memory import limit_system_memory
from facefusion.uis.core import get_ui_component
from facefusion.normalizer import normalize_output_path
from facefu... | null |
772 | from typing import Tuple, Optional
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.core import conditional_process
from facefusion.memory import limit_system_memory
from facefusion.uis.core import get_ui_component
from facefusion.normalizer import normalize_output_path
from facefu... | null |
773 | from typing import Optional, List
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.uis import choices as uis_choices
COMMON_OPTIONS_CHECKBOX_GROUP : Optional[gradio.Checkboxgroup] = None
def render() -> None:
global COMMON_OPTIONS_CHECKBOX_GROUP
value = []
if facefusion.global... | null |
774 | from typing import Optional, List
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.uis import choices as uis_choices
COMMON_OPTIONS_CHECKBOX_GROUP : Optional[gradio.Checkboxgroup] = None
def update(common_options : List[str]) -> None:
def listen() -> None:
COMMON_OPTIONS_CHECKBOX... | null |
775 | from typing import List, Optional, Tuple, Any, Dict
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.face_store import clear_static_faces, clear_reference_faces
from facefusion.vision import get_video_frame, read_static_image, normalize_frame_color
from fa... | null |
776 | from typing import List, Optional, Tuple, Any, Dict
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.face_store import clear_static_faces, clear_reference_faces
from facefusion.vision import get_video_frame, read_static_image, normalize_frame_color
from fa... | null |
777 | from typing import Optional
import gradio
from facefusion import wording
from facefusion.uis import choices as uis_choices
from facefusion.uis.core import register_ui_component
WEBCAM_MODE_RADIO : Optional[gradio.Radio] = None
WEBCAM_RESOLUTION_DROPDOWN : Optional[gradio.Dropdown] = None
WEBCAM_FPS_SLIDER : Optional[gr... | null |
778 | from typing import Optional, Dict, Any
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import FaceAnalyserOrder, FaceAnalyserAge, FaceAnalyserGender, FaceDetectorModel
from facefusion.uis.core import register_ui_component
FACE_ANALYSER_ORDER_DROPDO... | null |
779 | from typing import Optional, Dict, Any
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import FaceAnalyserOrder, FaceAnalyserAge, FaceAnalyserGender, FaceDetectorModel
from facefusion.uis.core import register_ui_component
FACE_ANALYSER_ORDER_DROPDO... | null |
780 | from typing import Optional
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
EXECUTION_QUEUE_COUNT_SLIDER : Optional[gradio.Slider] = None
def render() -> None:
global EXECUTION_QUEUE_COUNT_SLIDER
EXECUTION_QUEUE_COUNT_SLIDER = gradio.Slider(
label = wording.get('ui... | null |
781 | from typing import Optional
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
EXECUTION_QUEUE_COUNT_SLIDER : Optional[gradio.Slider] = None
def update_execution_queue_count(execution_queue_count : int = 1) -> None:
facefusion.globals.execution_queue_count = execution_queu... | null |
782 | from typing import List, Optional
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.processors.frame.core import load_frame_processor_module, clear_frame_processors_modules
from facefusion.filesystem import list_directory
from facefusion.uis.core import register_ui_component
FRAME_P... | null |
783 | from typing import List, Optional
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.processors.frame.core import load_frame_processor_module, clear_frame_processors_modules
from facefusion.filesystem import list_directory
from facefusion.uis.core import register_ui_component
FRAME_P... | null |
784 | from typing import List, Optional, Tuple
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.processors.frame.core import load_frame_processor_module
from facefusion.processors.frame import globals as frame_processors_globals, choices as frame_processors_choices
from facefusion.proces... | null |
785 | from typing import List, Optional, Tuple
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.processors.frame.core import load_frame_processor_module
from facefusion.processors.frame import globals as frame_processors_globals, choices as frame_processors_choices
from facefusion.proces... | null |
786 | from typing import Optional
import gradio
from facefusion import metadata, wording
ABOUT_BUTTON : Optional[gradio.HTML] = None
DONATE_BUTTON : Optional[gradio.HTML] = None
def render() -> None:
global ABOUT_BUTTON
global DONATE_BUTTON
ABOUT_BUTTON = gradio.Button(
value = metadata.get('name') + ' ' + metadata.ge... | null |
787 | from typing import Optional, List, Tuple
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.uis.typing import File
from facefusion.common_helper import get_first
from facefusion.filesystem import has_audio, has_image, filter_audio_paths, filter_image_paths
from facefusion.uis.core im... | null |
788 | from typing import Optional, List, Tuple
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.uis.typing import File
from facefusion.common_helper import get_first
from facefusion.filesystem import has_audio, has_image, filter_audio_paths, filter_image_paths
from facefusion.uis.core im... | null |
789 | from typing import Any, Optional, List, Dict, Generator
import time
import tempfile
import statistics
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.face_store import clear_static_faces
from facefusion.processors.frame.core import get_frame_processors_modules
from facefusion.visi... | null |
790 | from typing import Any, Optional, List, Dict, Generator
import time
import tempfile
import statistics
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.face_store import clear_static_faces
from facefusion.processors.frame.core import get_frame_processors_modules
from facefusion.visi... | null |
791 | from typing import Optional, Tuple, List
import tempfile
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import OutputVideoEncoder, OutputVideoPreset, Fps
from facefusion.filesystem import is_image, is_video
from facefusion.uis.typing import Compon... | null |
792 | from typing import Optional, Tuple, List
import tempfile
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import OutputVideoEncoder, OutputVideoPreset, Fps
from facefusion.filesystem import is_image, is_video
from facefusion.uis.typing import Compon... | null |
793 | from typing import Optional, Tuple
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import TempFrameFormat
from facefusion.filesystem import is_video
from facefusion.uis.core import get_ui_component
TEMP_FRAME_FORMAT_DROPDOWN : Optional[gradio.Dropd... | null |
794 | from typing import Optional, Tuple
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import TempFrameFormat
from facefusion.filesystem import is_video
from facefusion.uis.core import get_ui_component
TEMP_FRAME_FORMAT_DROPDOWN : Optional[gradio.Dropd... | null |
795 | from typing import Any, Dict, Tuple, Optional
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.vision import count_video_frame_total
from facefusion.filesystem import is_video
from facefusion.uis.core import get_ui_component
TRIM_FRAME_START_SLIDER : Optional[gradio.Slider] = None
... | null |
796 | from typing import Any, Dict, Tuple, Optional
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.vision import count_video_frame_total
from facefusion.filesystem import is_video
from facefusion.uis.core import get_ui_component
TRIM_FRAME_START_SLIDER : Optional[gradio.Slider] = None
... | null |
797 | from typing import Optional
import gradio
import facefusion.globals
import facefusion.choices
from facefusion.typing import VideoMemoryStrategy
from facefusion import wording
VIDEO_MEMORY_STRATEGY : Optional[gradio.Dropdown] = None
SYSTEM_MEMORY_LIMIT_SLIDER : Optional[gradio.Slider] = None
def render() -> None:
glob... | null |
798 | from typing import Optional
import gradio
import facefusion.globals
import facefusion.choices
from facefusion.typing import VideoMemoryStrategy
from facefusion import wording
VIDEO_MEMORY_STRATEGY : Optional[gradio.Dropdown] = None
SYSTEM_MEMORY_LIMIT_SLIDER : Optional[gradio.Slider] = None
def update_video_memory_stra... | null |
799 | from typing import Tuple, Optional
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.face_store import clear_static_faces, clear_reference_faces
from facefusion.uis.typing import File
from facefusion.filesystem import is_image, is_video
from facefusion.uis.core import register_ui_co... | null |
800 | from typing import Tuple, Optional
import gradio
import facefusion.globals
from facefusion import wording
from facefusion.face_store import clear_static_faces, clear_reference_faces
from facefusion.uis.typing import File
from facefusion.filesystem import is_image, is_video
from facefusion.uis.core import register_ui_co... | null |
801 | from typing import Optional
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
EXECUTION_THREAD_COUNT_SLIDER : Optional[gradio.Slider] = None
def render() -> None:
global EXECUTION_THREAD_COUNT_SLIDER
EXECUTION_THREAD_COUNT_SLIDER = gradio.Slider(
label = wording.get(... | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.