id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
26,292 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the text of a story chunk tags: - story description: |-2 Returns the text inside a story chunk given its `num`. parameters: - name: num in: path description: |-2 `num` of the desired story chunk. schema: type: integer responses: 200: description: Successful request content: application/json: ... |
26,293 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the text of a story chunk tags: - story description: |-2 Sets the text inside a story chunk given its `num`. parameters: - name: num in: path description: |-2 `num` of the desired story chunk. schema: type: integer requestBody: required: true content: application/json: schema: StoryChunkSetTextSch... |
26,294 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- delete: summary: Remove a story chunk tags: - story description: |-2 Removes a story chunk from the story in the KoboldAI GUI given its `num`. Cannot be used to delete the first action (the prompt). parameters: - name: num in: path description: |-2 `num` of the desired story chunk. Must be larger than or equal to 1... |
26,295 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- delete: summary: Clear the story tags: - story description: |-2 Starts a new blank story. responses: 200: description: Successful request content: application/json: schema: EmptySchema {api_server_busy_response} |
26,296 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Load a story tags: - story description: |-2 Loads a story given its filename (without the .json). requestBody: required: true content: application/json: schema: StoryLoadSchema example: name: string responses: 200: description: Successful request content: application/json: schema: EmptySchema {api_val... |
26,297 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Save the current story tags: - story description: |-2 Saves the current story given its destination filename (without the .json). requestBody: required: true content: application/json: schema: StorySaveSchema example: name: string responses: 200: description: Successful request content: application/js... |
26,298 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve all world info entries tags: - world_info description: |-2 Returns all world info entries currently shown in the KoboldAI GUI. The `folders` are sorted in the same order as they are in the GUI and the `entries` within the folders and within the parent `result` object are all sorted in the sam... |
26,299 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the UIDs of all world info entries tags: - world_info description: |-2 Returns in a similar format as GET /world_info except only the `uid`s are returned. responses: 200: description: Successful request content: application/json: schema: WorldInfoUIDsSchema |
26,300 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Determine whether or not there is a world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content: ap... |
26,301 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve all world info folders tags: - world_info description: |-2 Returns details about all world info folders currently shown in the KoboldAI GUI. The `folders` are sorted in the same order as they are in the GUI. responses: 200: description: Successful request content: application/json: schema: Wo... |
26,302 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the UIDs all world info folders tags: - world_info description: |-2 Returns the `uid`s of all world info folders currently shown in the KoboldAI GUI. The `folders` are sorted in the same order as they are in the GUI. responses: 200: description: Successful request content: application/json: s... |
26,303 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve all world info entries not in a folder tags: - world_info description: |-2 Returns all world info entries that are not in a world info folder. The `entries` are sorted in the same order as they are in the KoboldAI GUI. responses: 200: description: Successful request content: application/json:... |
26,304 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the UIDs of all world info entries not in a folder tags: - world_info description: |-2 Returns the `uid`s of all world info entries that are not in a world info folder. The `entries` are sorted in the same order as they are in the KoboldAI GUI. responses: 200: description: Successful request ... |
26,305 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Determine whether or not there is a world info entry with the given UID that is not in a world info folder tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: descript... |
26,306 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve all world info entries in the given folder tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info folder. schema: type: integer minimum: -2147483648 maximum: 2147483647 description: |-2 Returns all world info entries that are in the world info fol... |
26,307 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the UIDs of all world info entries in the given folder tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info folder. schema: type: integer minimum: -2147483648 maximum: 2147483647 description: |-2 Returns the `uid`s of all world info entries that... |
26,308 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Determine whether or not there is a world info entry with the given UID in the world info folder with the given UID tags: - world_info parameters: - name: folder_uid in: path description: |-2 `uid` of the desired world info folder. schema: type: integer minimum: -2147483648 maximum: 2147483647 - name:... |
26,309 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the name of the world info folder with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info folder. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content: application... |
26,310 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the name of the world info folder with the given UID to the specified value tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info folder. schema: type: integer minimum: -2147483648 maximum: 2147483647 requestBody: required: true content: application/j... |
26,311 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve information about the world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content: applica... |
26,312 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the comment of the world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content: applicatio... |
26,313 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the comment of the world info entry with the given UID to the specified value tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 requestBody: required: true content: application/... |
26,314 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the content of the world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content: applicatio... |
26,315 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the content of the world info entry with the given UID to the specified value tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 requestBody: required: true content: application/... |
26,316 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the keys or primary keys of the world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request conten... |
26,317 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the keys or primary keys of the world info entry with the given UID to the specified value tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 requestBody: required: true content:... |
26,318 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the secondary keys of the world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content: app... |
26,319 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the secondary keys of the world info entry with the given UID to the specified value tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 requestBody: required: true content: appli... |
26,320 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the selective mode state of the world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request conten... |
26,321 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the selective mode state of the world info entry with the given UID to the specified value tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 requestBody: required: true content:... |
26,322 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the constant mode state of the world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content... |
26,323 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the constant mode state of the world info entry with the given UID to the specified value tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 requestBody: required: true content: ... |
26,324 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- post: summary: Create a new world info entry outside of a world info folder, at the end of the world info tags: - world_info requestBody: required: true content: application/json: schema: EmptySchema responses: 200: description: Successful request content: application/json: schema: BasicUIDSchema {api_validation_er... |
26,325 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- post: summary: Create a new world info entry at the end of the world info folder with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info folder. schema: type: integer minimum: -2147483648 maximum: 2147483647 requestBody: required: true content: applica... |
26,326 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- delete: summary: Delete the world info entry with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info entry. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content: application/json: schema... |
26,327 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- post: summary: Create a new world info folder at the end of the world info tags: - world_info requestBody: required: true content: application/json: schema: EmptySchema responses: 200: description: Successful request content: application/json: schema: BasicUIDSchema {api_validation_error_response} |
26,328 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- delete: summary: Delete the world info folder with the given UID tags: - world_info parameters: - name: uid in: path description: |-2 `uid` of the desired world info folder. schema: type: integer minimum: -2147483648 maximum: 2147483647 responses: 200: description: Successful request content: application/json: sche... |
26,329 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | null |
26,330 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the current soft prompt name tags: - config responses: 200: description: Successful request content: application/json: schema: SoftPromptSettingSchema example: value: "" |
26,331 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve all available softprompt filenames tags: - config responses: 200: description: Successful request content: application/json: schema: SoftPromptsListSchema example: values: [] |
26,332 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set soft prompt by name tags: - config requestBody: required: true content: application/json: schema: SoftPromptSettingSchema example: value: "" responses: 200: description: Successful request content: application/json: schema: EmptySchema {api_validation_error_response} |
26,333 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- get: summary: Retrieve the current global sampler seed value tags: - config responses: 200: description: Successful request content: application/json: schema: SamplerSeedSettingSchema example: value: 3475097509890965500 |
26,334 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | --- put: summary: Set the global sampler seed value tags: - config requestBody: required: true content: application/json: schema: SamplerSeedSettingSchema example: value: 3475097509890965500 responses: 200: description: Successful request content: application/json: schema: EmptySchema {api_validation_error_response} |
26,335 | import eventlet
import os
from eventlet import tpool
import logging
from logger import logger, set_logger_verbosity, quiesce_logger
from os import path, getcwd
import time
import re
import json
import collections
import zipfile
import packaging
import packaging.version
import contextlib
import traceback
import threadin... | null |
26,336 | import sys
from functools import partialmethod
from loguru import logger
STDOUT_LEVELS = ["GENERATION", "PROMPT"]
verbosity = 20
quiet = 0
def is_stdout_log(record):
if record["level"].name not in STDOUT_LEVELS:
return(False)
if record["level"].no < verbosity + quiet:
return(False)
return(T... | null |
26,337 | import sys
from functools import partialmethod
from loguru import logger
INIT_LEVELS = ["INIT", "INIT_OK", "INIT_WARN", "INIT_ERR"]
verbosity = 20
quiet = 0
def is_init_log(record):
if record["level"].name not in INIT_LEVELS:
return(False)
if record["level"].no < verbosity + quiet:
return(False... | null |
26,338 | import sys
from functools import partialmethod
from loguru import logger
MESSAGE_LEVELS = ["MESSAGE"]
verbosity = 20
quiet = 0
def is_msg_log(record):
if record["level"].name not in MESSAGE_LEVELS:
return(False)
if record["level"].no < verbosity + quiet:
return(False)
return(True) | null |
26,339 | import sys
from functools import partialmethod
from loguru import logger
STDOUT_LEVELS = ["GENERATION", "PROMPT"]
INIT_LEVELS = ["INIT", "INIT_OK", "INIT_WARN", "INIT_ERR"]
MESSAGE_LEVELS = ["MESSAGE"]
verbosity = 20
quiet = 0
def is_stderr_log(record):
if record["level"].name in STDOUT_LEVELS + INIT_LEVELS + MESS... | null |
26,340 | import sys
from functools import partialmethod
from loguru import logger
logger.level("GENERATION", no=24, color="<cyan>")
logger.level("PROMPT", no=23, color="<yellow>")
logger.level("INIT", no=31, color="<white>")
logger.level("INIT_OK", no=31, color="<green>")
logger.level("INIT_WARN", no=31, color="<yellow>")
logge... | null |
26,341 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange, repeat
from lycoris.utils import default
from lycoris.utils.xformers_utils import XFORMERS_AVAIL, memory_efficient_attention
def vanilla_attention(q, k, v, mask, scale=None):
if scale is None:
scale... | null |
26,342 | from functools import cache
from math import log2, ceil
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from .base import ModuleCustomSD
from lycoris.logging import logger
def log_butterfly_factorize(dim, factor, result):
logger.info(
f"Use BOFT({int(log2(resu... | m = 2k n = 2**p m*n = dim |
26,343 | from typing import *
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.transforms.functional import resize
from timm import create_model
from einops import rearrange
from lycoris.modules.attention import TransformerBlock
The provided code snippet includes necessary ... | Sinusoid position encoding table |
26,344 | import torch
import torch.nn as nn
from torch.utils.checkpoint import checkpoint
from transformers import T5Tokenizer, T5EncoderModel, CLIPTokenizer, CLIPTextModel
import open_clip
The provided code snippet includes necessary dependencies for implementing the `disabled_train` function. Write a Python function `def dis... | Overwrite model.train with this function to make sure train/eval mode does not change anymore. |
26,345 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from .base import ModuleCustomSD
The provided code snippet includes necessary dependencies for implementing the `factorization` function. Write a Python function `def factorization(dimension: int, factor: int = -1) -> tuple[int, int]` to so... | return a tuple of two value of input dimension decomposed by the number closest to factor second value is higher or equal than first value. In LoRA with Kroneckor Product, first value is a value for weight scale. secon value is a value for weight. Becuase of non-commutative property, A⊗B ≠ B⊗A. Meaning of two matrices ... |
26,346 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from .base import ModuleCustomSD
def make_weight_cp(t, wa, wb):
rebuild2 = torch.einsum("i j k l, i p, j r -> p r k l", t, wa, wb) # [c, d, k1, k2]
return rebuild2 | null |
26,347 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from .base import ModuleCustomSD
def make_kron(w1, w2, scale):
if len(w2.shape) == 4:
w1 = w1.unsqueeze(2).unsqueeze(2)
w2 = w2.contiguous()
rebuild = torch.kron(w1, w2)
return rebuild * scale | null |
26,348 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .base import ModuleCustomSD
class HadaWeight(torch.autograd.Function):
def forward(ctx, w1a, w1b, w2a, w2b, scale=torch.tensor(1)):
def backward(ctx, grad_out):
def make_weight(w1a, w1b, w2a, w2b, scale):
return HadaWeight.apply(w1a,... | null |
26,349 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .base import ModuleCustomSD
class HadaWeightCP(torch.autograd.Function):
def forward(ctx, t1, w1a, w1b, t2, w2a, w2b, scale=torch.tensor(1)):
ctx.save_for_backward(t1, w1a, w1b, t2, w2a, w2b, scale)
rebuild1 = torch.einsum("i j ... | null |
26,350 | from functools import cache
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from .base import ModuleCustomSD
from .lokr import factorization
from ..logging import logger
logger = logging.getLogger("LyCORIS")
logger.propagate = False
logger.setLevel(logging.INFO)
if not... | null |
26,351 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .base import ModuleCustomSD
The provided code snippet includes necessary dependencies for implementing the `factorization` function. Write a Python function `def factorization(dimension: int, factor: int = -1) -> tuple[int, int]` to solve the foll... | return a tuple of two value of input dimension decomposed by the number closest to factor second value is higher or equal than first value. In LoRA with Kroneckor Product, first value is a value for weight scale. secon value is a value for weight. Becuase of non-commutative property, A⊗B ≠ B⊗A. Meaning of two matrices ... |
26,352 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .base import ModuleCustomSD
def make_weight_cp(t, wa, wb):
rebuild2 = torch.einsum("i j k l, i p, j r -> p r k l", t, wa, wb) # [c, d, k1, k2]
return rebuild2 | null |
26,353 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .base import ModuleCustomSD
def make_kron(w1, w2, scale):
if len(w2.shape) == 4:
w1 = w1.unsqueeze(2).unsqueeze(2)
w2 = w2.contiguous()
rebuild = torch.kron(w1, w2)
return rebuild * scale | null |
26,354 | import math
import os
import regex as re
import sys
from typing import List
import torch
from .utils import *
from .modules.locon import LoConModule
from .modules.loha import LohaModule
from .modules.lokr import LokrModule
from .modules.dylora import DyLoraModule
from .modules.glora import GLoRAModule
from .modules.nor... | null |
26,355 | import math
import os
import regex as re
import sys
from typing import List
import torch
from .utils import *
from .modules.locon import LoConModule
from .modules.loha import LohaModule
from .modules.lokr import LokrModule
from .modules.dylora import DyLoraModule
from .modules.glora import GLoRAModule
from .modules.nor... | null |
26,356 | import torch
from safetensors.torch import load_file, save_file
from transformers import (
CLIPTextModel,
CLIPTextConfig,
CLIPTextModelWithProjection,
CLIPTokenizer,
)
from diffusers import AutoencoderKL, EulerDiscreteScheduler, UNet2DConditionModel
from . import model_utils as model_util
from . import ... | null |
26,357 | import torch
from safetensors.torch import load_file, save_file
from transformers import (
CLIPTextModel,
CLIPTextConfig,
CLIPTextModelWithProjection,
CLIPTokenizer,
)
from diffusers import AutoencoderKL, EulerDiscreteScheduler, UNet2DConditionModel
from . import model_utils as model_util
from . import ... | null |
26,358 | import torch
from safetensors.torch import load_file, save_file
from transformers import (
CLIPTextModel,
CLIPTextConfig,
CLIPTextModelWithProjection,
CLIPTokenizer,
)
from diffusers import AutoencoderKL, EulerDiscreteScheduler, UNet2DConditionModel
from . import model_utils as model_util
from . import ... | null |
26,359 | import torch
from safetensors.torch import load_file, save_file
from transformers import (
CLIPTextModel,
CLIPTextConfig,
CLIPTextModelWithProjection,
CLIPTokenizer,
)
from diffusers import AutoencoderKL, EulerDiscreteScheduler, UNet2DConditionModel
from . import model_utils as model_util
from . import ... | null |
26,360 | import hashlib
import safetensors
from io import BytesIO
def addnet_hash_legacy(b):
"""Old model hash used by sd-webui-additional-networks for .safetensors format files"""
m = hashlib.sha256()
b.seek(0x100000)
m.update(b.read(0x10000))
return m.hexdigest()[0:8]
def addnet_hash_safetensors(b):
""... | Precalculate the model hashes needed by sd-webui-additional-networks to save time on indexing the model later. |
26,361 | import math
from types import SimpleNamespace
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import nn
from torch.nn import functional as F
from einops import rearrange
def exists(val):
return val is not None
def default(val, d):
return val if exists(val) else d | null |
26,362 | import math
from types import SimpleNamespace
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import nn
from torch.nn import functional as F
from einops import rearrange
def get_parameter_dtype(parameter: torch.nn.Module):
return next(parameter.parameters()).dtype | null |
26,363 | import math
from types import SimpleNamespace
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import nn
from torch.nn import functional as F
from einops import rearrange
def get_parameter_device(parameter: torch.nn.Module):
return next(parameter.parameters()).device | null |
26,364 | import math
from types import SimpleNamespace
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import nn
from torch.nn import functional as F
from einops import rearrange
The provided code snippet includes necessary dependencies for implementing the `get_timestep_embedding` function. W... | This matches the implementation in Denoising Diffusion Probabilistic Models: Create sinusoidal timestep embeddings. :param timesteps: a 1-D Tensor of N indices, one per batch element. These may be fractional. :param embedding_dim: the dimension of the output. :param max_period: controls the minimum frequency of the emb... |
26,365 | import math
import os
import torch
import diffusers
from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextConfig, logging
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionPipeline,
)
from safetensors.torch import load_file, save_file
from .original_unet import UNet2DConditionMo... | null |
26,366 | import math
import os
import torch
import diffusers
from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextConfig, logging
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionPipeline,
)
from safetensors.torch import load_file, save_file
from .original_unet import UNet2DConditionMo... | null |
26,367 | import math
import os
import torch
import diffusers
from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextConfig, logging
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionPipeline,
)
from safetensors.torch import load_file, save_file
from .original_unet import UNet2DConditionMo... | null |
26,368 | import math
import os
import torch
import diffusers
from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextConfig, logging
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionPipeline,
)
from safetensors.torch import load_file, save_file
from .original_unet import UNet2DConditionMo... | null |
26,369 | import math
import os
import torch
import diffusers
from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextConfig, logging
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionPipeline,
)
from safetensors.torch import load_file, save_file
from .original_unet import UNet2DConditionMo... | null |
26,370 | import math
import os
import torch
import diffusers
from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextConfig, logging
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionPipeline,
)
from safetensors.torch import load_file, save_file
from .original_unet import UNet2DConditionMo... | null |
26,371 | import math
import os
import torch
import diffusers
from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextConfig, logging
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionPipeline,
)
from safetensors.torch import load_file, save_file
from .original_unet import UNet2DConditionMo... | null |
26,372 | import math
import os
import torch
import diffusers
from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextConfig, logging
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionPipeline,
)
from safetensors.torch import load_file, save_file
from .original_unet import UNet2DConditionMo... | null |
26,373 | import math
from types import SimpleNamespace
from typing import Dict, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from einops import rearrange
def exists(val):
return val is not None
def default(val, d):
return val if exists(val) else d | null |
26,374 | import math
from types import SimpleNamespace
from typing import Dict, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from einops import rearrange
def get_parameter_dtype(parameter: torch.nn.Module):
return next(parameter.parameters()).dtype | null |
26,375 | import math
from types import SimpleNamespace
from typing import Dict, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from einops import rearrange
def get_parameter_device(parameter: torch.nn.Module):
return next(parameter.parameters()).device | null |
26,376 | import math
from types import SimpleNamespace
from typing import Dict, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from einops import rearrange
The provided code snippet includes necessary dependencies for implementing the `get_timestep_embedding` function. Write a Pyt... | This matches the implementation in Denoising Diffusion Probabilistic Models: Create sinusoidal timestep embeddings. :param timesteps: a 1-D Tensor of N indices, one per batch element. These may be fractional. :param embedding_dim: the dimension of the output. :param max_period: controls the minimum frequency of the emb... |
26,377 | import math
from types import SimpleNamespace
from typing import Dict, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from einops import rearrange
class DownBlock2D(nn.Module):
def __init__(
self,
in_channels: int,
out_channels: int,
add... | null |
26,378 | import math
from types import SimpleNamespace
from typing import Dict, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from einops import rearrange
class UpBlock2D(nn.Module):
def __init__(
self,
in_channels: int,
prev_output_channel: int,
... | null |
26,379 | from math import log2, floor
import torch
from einops import rearrange
def pow_of_2(value):
while value > 1:
if value & 1:
return False
value = value >> 1
return True | null |
26,380 | def linear_layer_mac(seq_len, in_dim, out_dim):
return seq_len * in_dim * out_dim
def mac_for_lin_bax(seq_len, in_dim, out_dim, rank):
return linear_layer_mac(seq_len, in_dim, rank) + linear_layer_mac(
seq_len, rank, out_dim
) | null |
26,381 | def conv_layer_mac(in_h, in_w, in_dim, out_dim, kernel_size, stride, padding):
conv_ops = (in_h + padding * 2) * (in_w + padding * 2) // stride
filter_mac = kernel_size**2 * in_dim * out_dim
return 2 * conv_ops * filter_mac
def mac_for_conv_bax(in_h, in_w, in_dim, out_dim, rank):
return conv_layer_mac(... | null |
26,382 | def mac_matmul(n, p, m):
return n * p * m
def mac_for_lin_wba(in_dim, out_dim, rank):
return mac_matmul(in_dim, rank, out_dim) | null |
26,383 | def mac_matmul(n, p, m):
return n * p * m
def mac_for_conv_wba(in_dim, out_dim, rank):
return mac_matmul(in_dim, rank, out_dim * 3**2) | null |
26,384 | import torch
import torch.nn as nn
import torch.nn.functional as F
class HadaWeightCP(torch.autograd.Function):
def forward(ctx, orig_weight, t1, w1a, w1b, t2, w2a, w2b, scale=torch.tensor(1)):
ctx.save_for_backward(t1, w1a, w1b, t2, w2a, w2b, scale)
temp = torch.einsum("i j k l, j r -> i r k l", t1... | null |
26,385 | import torch
import torch.nn as nn
import torch.nn.functional as F
torch.mean(w1).backward()
torch.mean(w2).backward()
def make_cp(orig_weight, t1, w1a, w1b, t2, w2a, w2b, scale=torch.tensor(0.25)):
temp = torch.einsum("i j k l, j r -> i r k l", t1, w1b)
rebuild1 = torch.einsum("i j k l, i r -> r j k l", temp,... | null |
26,386 | import os, sys
import torch
import torch.nn as nn
import torch.nn.functional as F
from lycoris.utils import extract_conv
from pytorch_lightning import seed_everything
def make_sparse(t, sparsity=0.95):
sparse_t = t.masked_fill(torch.abs(t) < torch.quantile(torch.abs(t), sparsity), 0)
return sparse_t | null |
26,387 | import os, sys
import torch
import torch.nn as nn
import torch.nn.functional as F
from lycoris.utils import extract_conv
from pytorch_lightning import seed_everything
print(extract_a.shape, extract_b.shape, extract_c.shape)
print()
print("without sparse bias")
print("MSE Loss: ", F.mse_loss(conv_orig.weight, conv_rebd.... | null |
26,388 | from functools import cache
from math import log2
def log_butterfly_factorize(dim, factor, result):
print(
f"Use BOFT({int(log2(result[1]))}, {result[0]//2}) (equivalent to factor={result[0]}) for {dim=} and {factor=}"
)
The provided code snippet includes necessary dependencies for implementing the `bu... | m = 2k n = 2**p m*n = dim |
26,389 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from einops import rearrange
def lokr_linear(h, a, b, c):
vq = a.size(1)
uq = c.size(1)
h_in_group = rearrange(h, "b ... (uq vq) -> b ... uq vq", uq=uq, vq=vq)
ha = F.linear(h_in_group, a)
hb = F.linear(... | null |
26,390 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from einops import rearrange
def lokr_rebuild(h, a, b, c):
rebuild_weight = torch.kron(c, b @ a)
return F.linear(h, rebuild_weight) | null |
26,391 | import importlib
import argparse
import gc
import math
import os
import sys
import random
import time
import json
from multiprocessing import Value
from tqdm import tqdm
import torch
from accelerate.utils import set_seed
from diffusers import DDPMScheduler
from library import model_util
import library.train_util as tra... | null |
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