Files
automatic/modules/api/control.py
T
Vladimir Mandic 89e9debbcd control api
2024-03-27 11:33:29 -04:00

158 lines
6.6 KiB
Python

from typing import Optional, List
from threading import Lock
from pydantic import BaseModel, Field # pylint: disable=no-name-in-module
from modules import errors, shared, processing_helpers
from modules.api import models, helpers
from modules.control import run
errors.install()
class ItemControl(BaseModel):
process: str = Field(title="Preprocessor", default="", description="")
model: str = Field(title="Control Model", default="", description="")
strength: float = Field(title="Control model strength", default=1.0, description="")
start: float = Field(title="Control model start", default=0.0, description="")
end: float = Field(title="Control model end", default=1.0, description="")
override: str = Field(title="Override image", default=None, description="")
ReqControl = models.create_model_from_signature(
func = run.control_run,
model_name = "StableDiffusionProcessingControl",
additional_fields = [
{"key": "sampler_name", "type": str, "default": "UniPC"},
{"key": "script_name", "type": str, "default": None},
{"key": "script_args", "type": list, "default": []},
{"key": "send_images", "type": bool, "default": True},
{"key": "save_images", "type": bool, "default": False},
{"key": "alwayson_scripts", "type": dict, "default": {}},
{"key": "ip_adapter", "type": Optional[models.ItemIPAdapter], "default": None, "exclude": True},
{"key": "face", "type": Optional[models.ItemFace], "default": None, "exclude": True},
{"key": "control", "type": Optional[List[ItemControl]], "default": [], "exclude": True},
]
)
class ResControl(BaseModel):
images: List[str] = Field(default=None, title="Images", description="")
processed: List[str] = Field(default=None, title="Processed", description="")
params: dict = Field(default={}, title="Settings", description="")
info: str = Field(default="", title="Info", description="")
class APIControl():
def __init__(self, queue_lock: Lock):
self.queue_lock = queue_lock
self.default_script_arg = []
def sanitize_args(self, args: dict):
args = vars(args)
args.pop('sampler_name', None)
args.pop('script_name', None)
args.pop('script_args', None) # will refeed them to the pipeline directly after initializing them
args.pop('alwayson_scripts', None)
args.pop('face', None)
args.pop('face_id', None)
args.pop('ip_adapter', None)
args.pop('save_images', None)
return args
def sanitize_b64(self, request):
def sanitize_str(args: list):
for idx in range(0, len(args)):
if isinstance(args[idx], str) and len(args[idx]) >= 1000:
args[idx] = f"<str {len(args[idx])}>"
if hasattr(request, "alwayson_scripts") and request.alwayson_scripts:
for script_name in request.alwayson_scripts.keys():
script_obj = request.alwayson_scripts[script_name]
if script_obj and "args" in script_obj and script_obj["args"]:
sanitize_str(script_obj["args"])
if hasattr(request, "script_args") and request.script_args:
sanitize_str(request.script_args)
def prepare_face_module(self, req):
if hasattr(req, "face") and req.face and not req.script_name and (not req.alwayson_scripts or "face" not in req.alwayson_scripts.keys()):
req.script_name = "face"
req.script_args = [
req.face.mode,
req.face.source_images,
req.face.ip_model,
req.face.ip_override_sampler,
req.face.ip_cache_model,
req.face.ip_strength,
req.face.ip_structure,
req.face.id_strength,
req.face.id_conditioning,
req.face.id_cache,
req.face.pm_trigger,
req.face.pm_strength,
req.face.pm_start,
req.face.fs_cache
]
del req.face
def prepare_control(self, req):
from modules.control.unit import Unit, unit_types
req.units = []
if req.unit_type not in unit_types:
shared.log.error(f'Control uknown unit type: type={req.unit_type} available={unit_types}')
return req.control
for u in req.control:
unit = Unit(
enabled = True,
unit_type = req.unit_type,
model_id = u.model,
process_id = u.process,
strength = u.strength,
start = u.start,
end = u.end,
)
if u.override is not None:
unit.override = helpers.decode_base64_to_image(u.override)
req.units.append(unit)
return req.control
def post_control(self, req: ReqControl):
self.prepare_face_module(req)
orig_control = self.prepare_control(req)
del req.control
# prepare args
args = req.copy(update={ # Override __init__ params
"sampler_index": processing_helpers.get_sampler_index(req.sampler_name),
"no_save": not req.save_images,
"is_generator": False,
"inputs": [helpers.decode_base64_to_image(x) for x in req.inputs] if req.inputs else None,
"inits": [helpers.decode_base64_to_image(x) for x in req.inits] if req.inits else None,
"mask": helpers.decode_base64_to_image(req.mask) if req.mask else None,
})
args = self.sanitize_args(args)
send_images = args.pop('send_images', True)
# run
with self.queue_lock:
shared.state.begin('api-control', api=True)
output_images = []
output_processed = []
output_info = ''
res = run.control_run(**args)
for item in res:
if len(item) > 0 and (isinstance(item[0], list) or item[0] is None): # output_images
output_images += item[0] if item[0] is not None else []
output_processed += [item[1]] if item[1] is not None else []
output_info += item[2] if len(item) > 2 and item[2] is not None else ''
else:
output_info += item
shared.state.end(api=False)
# return
b64images = list(map(helpers.encode_pil_to_base64, output_images)) if send_images else []
b64processed = list(map(helpers.encode_pil_to_base64, output_processed)) if send_images else []
self.sanitize_b64(req)
req.units = orig_control
return ResControl(images=b64images, processed=b64processed, params=vars(req), info=output_info)