88 lines
2.8 KiB
Python
88 lines
2.8 KiB
Python
from inflection import underscore
|
|
from typing import Any, Dict, Optional
|
|
from pydantic import BaseModel, Field, create_model
|
|
from modules.processing import StableDiffusionProcessing, Processed, StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
|
|
import inspect
|
|
|
|
|
|
API_NOT_ALLOWED = [
|
|
"self",
|
|
"kwargs",
|
|
"sd_model",
|
|
"outpath_samples",
|
|
"outpath_grids",
|
|
"sampler_index",
|
|
"do_not_save_samples",
|
|
"do_not_save_grid",
|
|
"extra_generation_params",
|
|
"overlay_images",
|
|
"do_not_reload_embeddings",
|
|
"seed_enable_extras",
|
|
"prompt_for_display",
|
|
"sampler_noise_scheduler_override",
|
|
"ddim_discretize"
|
|
]
|
|
|
|
class ModelDef(BaseModel):
|
|
"""Assistance Class for Pydantic Dynamic Model Generation"""
|
|
|
|
field: str
|
|
field_alias: str
|
|
field_type: Any
|
|
field_value: Any
|
|
|
|
|
|
class PydanticModelGenerator:
|
|
"""
|
|
Takes in created classes and stubs them out in a way FastAPI/Pydantic is happy about:
|
|
source_data is a snapshot of the default values produced by the class
|
|
params are the names of the actual keys required by __init__
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
model_name: str = None,
|
|
class_instance = None
|
|
):
|
|
def field_type_generator(k, v):
|
|
# field_type = str if not overrides.get(k) else overrides[k]["type"]
|
|
# print(k, v.annotation, v.default)
|
|
field_type = v.annotation
|
|
|
|
return Optional[field_type]
|
|
|
|
def merge_class_params(class_):
|
|
all_classes = list(filter(lambda x: x is not object, inspect.getmro(class_)))
|
|
parameters = {}
|
|
for classes in all_classes:
|
|
parameters = {**parameters, **inspect.signature(classes.__init__).parameters}
|
|
return parameters
|
|
|
|
|
|
self._model_name = model_name
|
|
self._class_data = merge_class_params(class_instance)
|
|
self._model_def = [
|
|
ModelDef(
|
|
field=underscore(k),
|
|
field_alias=k,
|
|
field_type=field_type_generator(k, v),
|
|
field_value=v.default
|
|
)
|
|
for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
|
|
]
|
|
|
|
def generate_model(self):
|
|
"""
|
|
Creates a pydantic BaseModel
|
|
from the json and overrides provided at initialization
|
|
"""
|
|
fields = {
|
|
d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias)) for d in self._model_def
|
|
}
|
|
DynamicModel = create_model(self._model_name, **fields)
|
|
DynamicModel.__config__.allow_population_by_field_name = True
|
|
DynamicModel.__config__.allow_mutation = True
|
|
return DynamicModel
|
|
|
|
StableDiffusionProcessingAPI = PydanticModelGenerator("StableDiffusionProcessingTxt2Img", StableDiffusionProcessingTxt2Img).generate_model()
|