`load_all()`/`select_related()` pydantic validation errors for ormar.JSON() field type

Describe the bug When running load_all() or select_related() on model with foreign model with ormar.JSON() field, we see a pydantic validation error.

To Reproduce

import asyncio
import databases

import ormar
import sqlalchemy

DATABASE_URL = "sqlite:///db.sqlite"
base_ormar_config = ormar.OrmarConfig(
    database=databases.Database(DATABASE_URL),
    metadata=sqlalchemy.MetaData(),
    engine=sqlalchemy.create_engine(DATABASE_URL),
)

class Author(ormar.Model):
    ormar_config = base_ormar_config.copy(tablename="authors")
    id: int = ormar.Integer(primary_key=True)

class Book(ormar.Model):
    ormar_config = base_ormar_config.copy(tablename="books")
    id: int = ormar.Integer(primary_key=True)
    author: Author = ormar.ForeignKey(Author, name="author_id")
    my_data: dict = ormar.JSON(nullable=True)

async def main():
    base_ormar_config.metadata.drop_all(base_ormar_config.engine)
    base_ormar_config.metadata.create_all(base_ormar_config.engine)

    author = await Author.objects.create()
    book = await Book.objects.create(
        author=author,
        my_data={}
    )
    # this errors out
    authors =  await Author.objects.select_related(Author.books).all()
    # this also errors out
    authors = await Author.objects.select_all().all()

asyncio.run(main())

Error traceback

``` Traceback (most recent call last): File "/Users/tonyyao/workspace/ormar-bug/main.py", line 50, in asyncio.run(main()) File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/asyncio/runners.py", line 44, in run return loop.run_until_complete(main) File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/asyncio/base_events.py", line 642, in run_until_complete return future.result() File "/Users/tonyyao/workspace/ormar-bug/main.py", line 47, in main authors = await Author.objects.select_all().all() File "/Users/tonyyao/.local/pipx/.cache/f0aff6fe1a77366/lib/python3.9/site-packages/ormar/queryset/queryset.py", line 1084, in all result_rows = await self._process_query_result_rows(rows) File "/Users/tonyyao/.local/pipx/.cache/f0aff6fe1a77366/lib/python3.9/site-packages/ormar/queryset/queryset.py", line 189, in _process_query_result_rows self.model.from_row( File "/Users/tonyyao/.local/pipx/.cache/f0aff6fe1a77366/lib/python3.9/site-packages/ormar/models/model_row.py", line 104, in from_row instance = cast("Model", cls(**item)) File "/Users/tonyyao/.local/pipx/.cache/f0aff6fe1a77366/lib/python3.9/site-packages/ormar/models/newbasemodel.py", line 138, in __init__ self.__pydantic_validator__.validate_python( pydantic_core._pydantic_core.ValidationError: 12 validation errors for Author books.int Input should be a valid integer [type=int_type, input_value=Book({'id': 1, 'author': ...040>]}), 'my_data': {}}), input_type=Book] For further information visit https://errors.pydantic.dev/2.5/v/int_type books.Book.my_data JSON input should be string, bytes or bytearray [type=json_type, input_value={}, input_type=dict] For further information visit https://errors.pydantic.dev/2.5/v/json_type books.PkOnlyBookrybjdp Input should be a valid dictionary or instance of PkOnlyBookrybjdp [type=model_type, input_value=Book({'id': 1, 'author': ...040>]}), 'my_data': {}}), input_type=Book] For further information visit https://errors.pydantic.dev/2.5/v/model_type books.`list[nullable[union[int,Book,...]]]`.0.int Input should be a valid integer [type=int_type, input_value=('id', 1), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/int_type books.`list[nullable[union[int,Book,...]]]`.0.Book Input should be a valid dictionary or object to extract fields from [type=model_attributes_type, input_value=('id', 1), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/model_attributes_type books.`list[nullable[union[int,Book,...]]]`.0.PkOnlyBookrybjdp Input should be a valid dictionary or instance of PkOnlyBookrybjdp [type=model_type, input_value=('id', 1), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/model_type books.`list[nullable[union[int,Book,...]]]`.1.int Input should be a valid integer [type=int_type, input_value=('author', Author({'id': ...Book at 0x102391040>]})), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/int_type books.`list[nullable[union[int,Book,...]]]`.1.Book Input should be a valid dictionary or object to extract fields from [type=model_attributes_type, input_value=('author', Author({'id': ...Book at 0x102391040>]})), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/model_attributes_type books.`list[nullable[union[int,Book,...]]]`.1.PkOnlyBookrybjdp Input should be a valid dictionary or instance of PkOnlyBookrybjdp [type=model_type, input_value=('author', Author({'id': ...Book at 0x102391040>]})), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/model_type books.`list[nullable[union[int,Book,...]]]`.2.int Input should be a valid integer [type=int_type, input_value=('my_data', {}), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/int_type books.`list[nullable[union[int,Book,...]]]`.2.Book Input should be a valid dictionary or object to extract fields from [type=model_attributes_type, input_value=('my_data', {}), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/model_attributes_type books.`list[nullable[union[int,Book,...]]]`.2.PkOnlyBookrybjdp Input should be a valid dictionary or instance of PkOnlyBookrybjdp [type=model_type, input_value=('my_data', {}), input_type=tuple] For further information visit https://errors.pydantic.dev/2.5/v/model_type ```

Expected behavior Unless I'm using these functions the wrong way, I expect either of these functions to not hit any pydantic errors.

Versions (please complete the following information):

# /// script
# dependencies = [
#   "databases[aiosqlite]==0.7.0",
#   "pydantic==2.5.3",
#   "ormar==0.20.1",
#   "sqlalchemy==1.4.52"
# ]
# ///

Additional context

does NOT hit validation errors if json field is optional and not populated
does NOT hit validation errors for other field types
does NOT hit validation errors if using prefetch_related instead of selected_related
one mitigation to not hit validation errors is the following author = await author.load(); books = await author.books.all()

Thanks in advance!

collerek / ormar

`load_all()`/`select_related()` pydantic validation errors for ormar.JSON() field type #1391