remove shits

This commit is contained in:
lllyasviel 2024-02-02 01:17:50 -08:00
parent d08594fa2f
commit 98b0d7a999
2 changed files with 9 additions and 245 deletions

View File

@ -1,12 +1,10 @@
from dataclasses import dataclass
from enum import Enum
from copy import copy
from typing import List, Any, Optional, Union, Tuple, Dict
from typing import List, Optional, Union, Tuple, Dict
import numpy as np
from modules import scripts, processing, shared
from lib_controlnet import global_state
from modules import shared
from lib_controlnet.logging import logger
from lib_controlnet.enums import HiResFixOption, InputMode
from lib_controlnet.enums import InputMode
from modules.api import api
@ -181,90 +179,6 @@ def to_base64_nparray(encoding: str):
return np.array(api.decode_base64_to_image(encoding)).astype('uint8')
def get_all_units_in_processing(p: processing.StableDiffusionProcessing) -> List[ControlNetUnit]:
"""
Fetch ControlNet processing units from a StableDiffusionProcessing.
"""
return get_all_units(p.scripts, p.script_args)
def get_all_units(script_runner: scripts.ScriptRunner, script_args: List[Any]) -> List[ControlNetUnit]:
"""
Fetch ControlNet processing units from an existing script runner.
Use this function to fetch units from the list of all scripts arguments.
"""
cn_script = find_cn_script(script_runner)
if cn_script:
return get_all_units_from(script_args[cn_script.args_from:cn_script.args_to])
return []
def get_all_units_from(script_args: List[Any]) -> List[ControlNetUnit]:
"""
Fetch ControlNet processing units from ControlNet script arguments.
Use `external_code.get_all_units` to fetch units from the list of all scripts arguments.
"""
def is_stale_unit(script_arg: Any) -> bool:
""" Returns whether the script_arg is potentially an stale version of
ControlNetUnit created before module reload."""
return (
'ControlNetUnit' in type(script_arg).__name__ and
not isinstance(script_arg, ControlNetUnit)
)
def is_controlnet_unit(script_arg: Any) -> bool:
""" Returns whether the script_arg is ControlNetUnit or anything that
can be treated like ControlNetUnit. """
return (
isinstance(script_arg, (ControlNetUnit, dict)) or
(
hasattr(script_arg, '__dict__') and
set(vars(ControlNetUnit()).keys()).issubset(
set(vars(script_arg).keys()))
)
)
all_units = [
to_processing_unit(script_arg)
for script_arg in script_args
if is_controlnet_unit(script_arg)
]
if not all_units:
logger.warning(
"No ControlNetUnit detected in args. It is very likely that you are having an extension conflict."
f"Here are args received by ControlNet: {script_args}.")
if any(is_stale_unit(script_arg) for script_arg in script_args):
logger.debug(
"Stale version of ControlNetUnit detected. The ControlNetUnit received"
"by ControlNet is created before the newest load of ControlNet extension."
"They will still be used by ControlNet as long as they provide same fields"
"defined in the newest version of ControlNetUnit."
)
return all_units
def get_single_unit_from(script_args: List[Any], index: int = 0) -> Optional[ControlNetUnit]:
"""
Fetch a single ControlNet processing unit from ControlNet script arguments.
The list must not contain script positional arguments. It must only contain processing units.
"""
i = 0
while i < len(script_args) and index >= 0:
if index == 0 and script_args[i] is not None:
return to_processing_unit(script_args[i])
i += 1
index -= 1
return None
def get_max_models_num():
"""
Fetch the maximum number of allowed ControlNet models.
@ -272,152 +186,3 @@ def get_max_models_num():
max_models_num = shared.opts.data.get("control_net_unit_count", 3)
return max_models_num
def to_processing_unit(unit: Union[Dict[str, Any], ControlNetUnit]) -> ControlNetUnit:
"""
Convert different types to processing unit.
If `unit` is a dict, alternative keys are supported. See `ext_compat_keys` in implementation for details.
"""
ext_compat_keys = {
'guessmode': 'guess_mode',
'guidance': 'guidance_end',
'lowvram': 'low_vram',
'input_image': 'image'
}
if isinstance(unit, dict):
unit = {ext_compat_keys.get(k, k): v for k, v in unit.items()}
mask = None
if 'mask' in unit:
mask = unit['mask']
del unit['mask']
if 'image' in unit and not isinstance(unit['image'], dict):
unit['image'] = {'image': unit['image'], 'mask': mask} if mask is not None else unit['image'] if unit[
'image'] else None
if 'guess_mode' in unit:
logger.warning('Guess Mode is removed since 1.1.136. Please use Control Mode instead.')
unit = ControlNetUnit(**{k: v for k, v in unit.items() if k in vars(ControlNetUnit).keys()})
# temporary, check #602
# assert isinstance(unit, ControlNetUnit), f'bad argument to controlnet extension: {unit}\nexpected Union[dict[str, Any], ControlNetUnit]'
return unit
def update_cn_script_in_processing(
p: processing.StableDiffusionProcessing,
cn_units: List[ControlNetUnit],
**_kwargs, # for backwards compatibility
):
"""
Update the arguments of the ControlNet script in `p.script_args` in place, reading from `cn_units`.
`cn_units` and its elements are not modified. You can call this function repeatedly, as many times as you want.
Does not update `p.script_args` if any of the folling is true:
- ControlNet is not present in `p.scripts`
- `p.script_args` is not filled with script arguments for scripts that are processed before ControlNet
"""
p.script_args = update_cn_script(p.scripts, p.script_args_value, cn_units)
def update_cn_script(
script_runner: scripts.ScriptRunner,
script_args: Union[Tuple[Any], List[Any]],
cn_units: List[ControlNetUnit],
) -> Union[Tuple[Any], List[Any]]:
"""
Returns: The updated `script_args` with given `cn_units` used as ControlNet
script args.
Does not update `script_args` if any of the folling is true:
- ControlNet is not present in `script_runner`
- `script_args` is not filled with script arguments for scripts that are
processed before ControlNet
"""
script_args_type = type(script_args)
assert script_args_type in (tuple, list), script_args_type
updated_script_args = list(copy(script_args))
cn_script = find_cn_script(script_runner)
if cn_script is None or len(script_args) < cn_script.args_from:
return script_args
# fill in remaining parameters to satisfy max models, just in case script needs it.
max_models = shared.opts.data.get("control_net_unit_count", 3)
cn_units = cn_units + [ControlNetUnit(enabled=False)] * max(max_models - len(cn_units), 0)
cn_script_args_diff = 0
for script in script_runner.alwayson_scripts:
if script is cn_script:
cn_script_args_diff = len(cn_units) - (cn_script.args_to - cn_script.args_from)
updated_script_args[script.args_from:script.args_to] = cn_units
script.args_to = script.args_from + len(cn_units)
else:
script.args_from += cn_script_args_diff
script.args_to += cn_script_args_diff
return script_args_type(updated_script_args)
def update_cn_script_in_place(
script_runner: scripts.ScriptRunner,
script_args: List[Any],
cn_units: List[ControlNetUnit],
**_kwargs, # for backwards compatibility
):
"""
@Deprecated(Raises assertion error if script_args passed in is Tuple)
Update the arguments of the ControlNet script in `script_args` in place, reading from `cn_units`.
`cn_units` and its elements are not modified. You can call this function repeatedly, as many times as you want.
Does not update `script_args` if any of the folling is true:
- ControlNet is not present in `script_runner`
- `script_args` is not filled with script arguments for scripts that are processed before ControlNet
"""
assert isinstance(script_args, list), type(script_args)
cn_script = find_cn_script(script_runner)
if cn_script is None or len(script_args) < cn_script.args_from:
return
# fill in remaining parameters to satisfy max models, just in case script needs it.
max_models = shared.opts.data.get("control_net_unit_count", 3)
cn_units = cn_units + [ControlNetUnit(enabled=False)] * max(max_models - len(cn_units), 0)
cn_script_args_diff = 0
for script in script_runner.alwayson_scripts:
if script is cn_script:
cn_script_args_diff = len(cn_units) - (cn_script.args_to - cn_script.args_from)
script_args[script.args_from:script.args_to] = cn_units
script.args_to = script.args_from + len(cn_units)
else:
script.args_from += cn_script_args_diff
script.args_to += cn_script_args_diff
def find_cn_script(script_runner: scripts.ScriptRunner) -> Optional[scripts.Script]:
"""
Find the ControlNet script in `script_runner`. Returns `None` if `script_runner` does not contain a ControlNet script.
"""
if script_runner is None:
return None
for script in script_runner.alwayson_scripts:
if is_cn_script(script):
return script
def is_cn_script(script: scripts.Script) -> bool:
"""
Determine whether `script` is a ControlNet script.
"""
return script.title().lower() == 'controlnet'

View File

@ -93,8 +93,7 @@ class ControlNetForForgeOfficial(scripts.Script):
self.paste_field_names = infotext.paste_field_names
return tuple(controls)
def get_enabled_units(self, p):
units = external_code.get_all_units_in_processing(p)
def get_enabled_units(self, units):
enabled_units = [x for x in units if x.enabled]
return enabled_units
@ -397,7 +396,7 @@ class ControlNetForForgeOfficial(scripts.Script):
@torch.no_grad()
def process(self, p, *args, **kwargs):
self.current_params = {}
for i, unit in enumerate(self.get_enabled_units(p)):
for i, unit in enumerate(self.get_enabled_units(args)):
self.bound_check_params(unit)
params = ControlNetCachedParameters()
self.process_unit_after_click_generate(p, unit, params, *args, **kwargs)
@ -406,14 +405,14 @@ class ControlNetForForgeOfficial(scripts.Script):
@torch.no_grad()
def process_before_every_sampling(self, p, *args, **kwargs):
for i, unit in enumerate(self.get_enabled_units(p)):
for i, unit in enumerate(self.get_enabled_units(args)):
self.process_unit_before_every_sampling(p, unit, self.current_params[i], *args, **kwargs)
return
@torch.no_grad()
def postprocess_batch_list(self, p, *args, **kwargs):
for i, unit in enumerate(self.get_enabled_units(p)):
self.process_unit_after_every_sampling(p, unit, self.current_params[i], *args, **kwargs)
def postprocess_batch_list(self, p, pp, *args, **kwargs):
for i, unit in enumerate(self.get_enabled_units(args)):
self.process_unit_after_every_sampling(p, unit, self.current_params[i], pp, *args, **kwargs)
self.current_params = {}
return