Is there a way to use regular Pydantic with Tortoise ORM

I am using the following model for both response body and request body.

• When using the pydantic created from tortoise as request body, pyright gives an error if I try to access model properties but the code works!
• I need the freedom to construct my own pydantic because sometimes I need specific fields.
• Some fields from the tortoise pydantic have validations which makes it hard to use them as request body. For example, below I had to override id in Users model in order to allow it to accept zero.

The point here it is very hard to combine request body and response body in pydantic model/models created from tortoise and impossible from regular pydantic as it cannot parse tortoise orm object if it is branching.

Is there away to make this easy or this is how it is?

or how about allowing a model with sub models to export a dictionary and just return it in the API. in that case I just need a pydantic for the request body.

Fields: TypeAlias = pydantic_model_creator(
    models.Fields, name="Field_id", include=("id",)
)

UserRoles: TypeAlias = pydantic_model_creator(
    models.UserRoles, name="UserRoles", include=("role_id",)
)
Users: TypeAlias = pydantic_model_creator(
    models.Users, include=("id", "username", "name_first", "name_last", "mail")
)


class FieldId(Fields):
    id: int


class UserRole(UserRoles):
    fields: List[FieldId] = Field(default=[])


class User(Users):
    id: Union[Literal[0], int] #because I need to allow it to accept zero
    user_roles: List[UserRole] = Field(default=[])

Start with the shown pydantic_model_creator usage and reproduce the request/response and nested-model cases described. The issue is complete only once a supported way to use custom Pydantic request models with Tortoise-generated response models is established and its behavior is verified.