diff options
Diffstat (limited to 'modules/api/models.py')
| -rw-r--r-- | modules/api/models.py | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/modules/api/models.py b/modules/api/models.py index 66d15765..00406368 100644 --- a/modules/api/models.py +++ b/modules/api/models.py @@ -31,6 +31,7 @@ class ModelDef(BaseModel): field_alias: str field_type: Any field_value: Any + field_exclude: bool = False class PydanticModelGenerator: @@ -78,7 +79,8 @@ class PydanticModelGenerator: field=underscore(fields["key"]), field_alias=fields["key"], field_type=fields["type"], - field_value=fields["default"])) + field_value=fields["default"], + field_exclude=fields["exclude"] if "exclude" in fields else False)) def generate_model(self): """ @@ -86,7 +88,7 @@ class PydanticModelGenerator: 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 + d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias, exclude=d.field_exclude)) for d in self._model_def } DynamicModel = create_model(self._model_name, **fields) DynamicModel.__config__.allow_population_by_field_name = True @@ -102,7 +104,7 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator( StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator( "StableDiffusionProcessingImg2Img", StableDiffusionProcessingImg2Img, - [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}] + [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}, {"key": "include_init_images", "type": bool, "default": False, "exclude" : True}] ).generate_model() class TextToImageResponse(BaseModel): |