diff --git a/replicate/deployment.py b/replicate/deployment.py
index d8359a33..8d9836b0 100644
--- a/replicate/deployment.py
+++ b/replicate/deployment.py
@@ -3,6 +3,7 @@
 from typing_extensions import Unpack, deprecated
 
 from replicate.account import Account
+from replicate.json import async_encode_json, encode_json
 from replicate.pagination import Page
 from replicate.prediction import (
     Prediction,
@@ -417,6 +418,13 @@ def create(
         Create a new prediction with the deployment.
         """
 
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_prediction_body(version=None, input=input, **params)
 
         resp = self._client._request(
@@ -436,6 +444,13 @@ async def async_create(
         Create a new prediction with the deployment.
         """
 
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = await async_encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_prediction_body(version=None, input=input, **params)
 
         resp = await self._client._async_request(
@@ -463,6 +478,14 @@ def create(
         """
 
         url = _create_prediction_url_from_deployment(deployment)
+
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_prediction_body(version=None, input=input, **params)
 
         resp = self._client._request(
@@ -484,6 +507,14 @@ async def async_create(
         """
 
         url = _create_prediction_url_from_deployment(deployment)
+
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = await async_encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_prediction_body(version=None, input=input, **params)
 
         resp = await self._client._async_request(
diff --git a/replicate/file.py b/replicate/file.py
index f489ae76..c9b52031 100644
--- a/replicate/file.py
+++ b/replicate/file.py
@@ -1,4 +1,3 @@
-import base64
 import io
 import json
 import mimetypes
@@ -6,11 +5,12 @@
 import pathlib
 from typing import Any, BinaryIO, Dict, List, Optional, TypedDict, Union
 
-import httpx
-from typing_extensions import NotRequired, Unpack
+from typing_extensions import Literal, NotRequired, Unpack
 
 from replicate.resource import Namespace, Resource
 
+FileEncodingStrategy = Literal["base64", "url"]
+
 
 class File(Resource):
     """
@@ -169,36 +169,3 @@ def _create_file_params(
 
 def _json_to_file(json: Dict[str, Any]) -> File:  # pylint: disable=redefined-outer-name
     return File(**json)
-
-
-def upload_file(file: io.IOBase, output_file_prefix: Optional[str] = None) -> str:
-    """
-    Upload a file to the server.
-
-    Args:
-        file: A file handle to upload.
-        output_file_prefix: A string to prepend to the output file name.
-    Returns:
-        str: A URL to the uploaded file.
-    """
-    # Lifted straight from cog.files
-
-    file.seek(0)
-
-    if output_file_prefix is not None:
-        name = getattr(file, "name", "output")
-        url = output_file_prefix + os.path.basename(name)
-        resp = httpx.put(url, files={"file": file}, timeout=None)  # type: ignore
-        resp.raise_for_status()
-
-        return url
-
-    body = file.read()
-    # Ensure the file handle is in bytes
-    body = body.encode("utf-8") if isinstance(body, str) else body
-    encoded_body = base64.b64encode(body).decode("utf-8")
-    # Use getattr to avoid mypy complaints about io.IOBase having no attribute name
-    mime_type = (
-        mimetypes.guess_type(getattr(file, "name", ""))[0] or "application/octet-stream"
-    )
-    return f"data:{mime_type};base64,{encoded_body}"
diff --git a/replicate/json.py b/replicate/json.py
index 1f9807a1..90154a84 100644
--- a/replicate/json.py
+++ b/replicate/json.py
@@ -1,7 +1,14 @@
+import base64
 import io
+import mimetypes
 from pathlib import Path
 from types import GeneratorType
-from typing import Any, Callable
+from typing import TYPE_CHECKING, Any, Optional
+
+if TYPE_CHECKING:
+    from replicate.client import Client
+    from replicate.file import FileEncodingStrategy
+
 
 try:
     import numpy as np  # type: ignore
@@ -14,22 +21,62 @@
 # pylint: disable=too-many-return-statements
 def encode_json(
     obj: Any,  # noqa: ANN401
-    upload_file: Callable[[io.IOBase], str],
+    client: "Client",
+    file_encoding_strategy: Optional["FileEncodingStrategy"] = None,
 ) -> Any:  # noqa: ANN401
     """
     Return a JSON-compatible version of the object.
     """
-    # Effectively the same thing as cog.json.encode_json.
 
     if isinstance(obj, dict):
-        return {key: encode_json(value, upload_file) for key, value in obj.items()}
+        return {
+            key: encode_json(value, client, file_encoding_strategy)
+            for key, value in obj.items()
+        }
+    if isinstance(obj, (list, set, frozenset, GeneratorType, tuple)):
+        return [encode_json(value, client, file_encoding_strategy) for value in obj]
+    if isinstance(obj, Path):
+        with obj.open("rb") as file:
+            return encode_json(file, client, file_encoding_strategy)
+    if isinstance(obj, io.IOBase):
+        if file_encoding_strategy == "base64":
+            return base64.b64encode(obj.read()).decode("utf-8")
+        else:
+            return client.files.create(obj).urls["get"]
+    if HAS_NUMPY:
+        if isinstance(obj, np.integer):  # type: ignore
+            return int(obj)
+        if isinstance(obj, np.floating):  # type: ignore
+            return float(obj)
+        if isinstance(obj, np.ndarray):  # type: ignore
+            return obj.tolist()
+    return obj
+
+
+async def async_encode_json(
+    obj: Any,  # noqa: ANN401
+    client: "Client",
+    file_encoding_strategy: Optional["FileEncodingStrategy"] = None,
+) -> Any:  # noqa: ANN401
+    """
+    Asynchronously return a JSON-compatible version of the object.
+    """
+
+    if isinstance(obj, dict):
+        return {
+            key: (await async_encode_json(value, client, file_encoding_strategy))
+            for key, value in obj.items()
+        }
     if isinstance(obj, (list, set, frozenset, GeneratorType, tuple)):
-        return [encode_json(value, upload_file) for value in obj]
+        return [
+            (await async_encode_json(value, client, file_encoding_strategy))
+            for value in obj
+        ]
     if isinstance(obj, Path):
         with obj.open("rb") as file:
-            return upload_file(file)
+            return encode_json(file, client, file_encoding_strategy)
     if isinstance(obj, io.IOBase):
-        return upload_file(obj)
+        return (await client.files.async_create(obj)).urls["get"]
     if HAS_NUMPY:
         if isinstance(obj, np.integer):  # type: ignore
             return int(obj)
@@ -38,3 +85,26 @@ def encode_json(
         if isinstance(obj, np.ndarray):  # type: ignore
             return obj.tolist()
     return obj
+
+
+def base64_encode_file(file: io.IOBase) -> str:
+    """
+    Base64 encode a file.
+
+    Args:
+        file: A file handle to upload.
+    Returns:
+        str: A base64-encoded data URI.
+    """
+
+    file.seek(0)
+    body = file.read()
+
+    # Ensure the file handle is in bytes
+    body = body.encode("utf-8") if isinstance(body, str) else body
+    encoded_body = base64.b64encode(body).decode("utf-8")
+
+    mime_type = (
+        mimetypes.guess_type(getattr(file, "name", ""))[0] or "application/octet-stream"
+    )
+    return f"data:{mime_type};base64,{encoded_body}"
diff --git a/replicate/model.py b/replicate/model.py
index d6e790fc..ccae9cd0 100644
--- a/replicate/model.py
+++ b/replicate/model.py
@@ -4,6 +4,7 @@
 
 from replicate.exceptions import ReplicateException
 from replicate.identifier import ModelVersionIdentifier
+from replicate.json import async_encode_json, encode_json
 from replicate.pagination import Page
 from replicate.prediction import (
     Prediction,
@@ -391,6 +392,14 @@ def create(
         """
 
         url = _create_prediction_url_from_model(model)
+
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_prediction_body(version=None, input=input, **params)
 
         resp = self._client._request(
@@ -412,6 +421,14 @@ async def async_create(
         """
 
         url = _create_prediction_url_from_model(model)
+
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = await async_encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_prediction_body(version=None, input=input, **params)
 
         resp = await self._client._async_request(
diff --git a/replicate/prediction.py b/replicate/prediction.py
index 055d9ca2..7028a712 100644
--- a/replicate/prediction.py
+++ b/replicate/prediction.py
@@ -19,8 +19,8 @@
 from typing_extensions import NotRequired, TypedDict, Unpack
 
 from replicate.exceptions import ModelError, ReplicateError
-from replicate.file import upload_file
-from replicate.json import encode_json
+from replicate.file import FileEncodingStrategy
+from replicate.json import async_encode_json, encode_json
 from replicate.pagination import Page
 from replicate.resource import Namespace, Resource
 from replicate.stream import EventSource
@@ -383,6 +383,9 @@ class CreatePredictionParams(TypedDict):
         stream: NotRequired[bool]
         """Enable streaming of prediction output."""
 
+        file_encoding_strategy: NotRequired[FileEncodingStrategy]
+        """The strategy to use for encoding files in the prediction input."""
+
     @overload
     def create(
         self,
@@ -453,6 +456,13 @@ def create(  # type: ignore
                 **params,
             )
 
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_prediction_body(
             version,
             input,
@@ -537,6 +547,13 @@ async def async_create(  # type: ignore
                 **params,
             )
 
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = await async_encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_prediction_body(
             version,
             input,
@@ -593,11 +610,12 @@ def _create_prediction_body(  # pylint: disable=too-many-arguments
     webhook_completed: Optional[str] = None,
     webhook_events_filter: Optional[List[str]] = None,
     stream: Optional[bool] = None,
+    **_kwargs,
 ) -> Dict[str, Any]:
     body = {}
 
     if input is not None:
-        body["input"] = encode_json(input, upload_file=upload_file)
+        body["input"] = input
 
     if version is not None:
         body["version"] = version.id if isinstance(version, Version) else version
diff --git a/replicate/training.py b/replicate/training.py
index 83413ef2..ba3554df 100644
--- a/replicate/training.py
+++ b/replicate/training.py
@@ -13,9 +13,8 @@
 
 from typing_extensions import NotRequired, Unpack
 
-from replicate.file import upload_file
 from replicate.identifier import ModelVersionIdentifier
-from replicate.json import encode_json
+from replicate.json import async_encode_json, encode_json
 from replicate.model import Model
 from replicate.pagination import Page
 from replicate.resource import Namespace, Resource
@@ -28,6 +27,7 @@
 
 if TYPE_CHECKING:
     from replicate.client import Client
+    from replicate.file import FileEncodingStrategy
 
 
 class Training(Resource):
@@ -217,9 +217,19 @@ class CreateTrainingParams(TypedDict):
         """Parameters for creating a training."""
 
         destination: Union[str, Tuple[str, str], "Model"]
+        """The destination for the trained model."""
+
         webhook: NotRequired[str]
+        """The URL to receive a POST request with training updates."""
+
         webhook_completed: NotRequired[str]
+        """The URL to receive a POST request when the training is completed."""
+
         webhook_events_filter: NotRequired[List[str]]
+        """List of events to trigger webhooks."""
+
+        file_encoding_strategy: NotRequired["FileEncodingStrategy"]
+        """The strategy to use for encoding files in the training input."""
 
     @overload
     def create(  # pylint: disable=too-many-arguments
@@ -277,7 +287,16 @@ def create(  # type: ignore
         if not url:
             raise ValueError("model and version or shorthand version must be specified")
 
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
+
         body = _create_training_body(input, **params)
+
         resp = self._client._request(
             "POST",
             url,
@@ -308,7 +327,16 @@ async def async_create(
         """
 
         url = _create_training_url_from_model_and_version(model, version)
+
+        file_encoding_strategy = params.pop("file_encoding_strategy", None)
+        if input is not None:
+            input = await async_encode_json(
+                input,
+                client=self._client,
+                file_encoding_strategy=file_encoding_strategy,
+            )
         body = _create_training_body(input, **params)
+
         resp = await self._client._async_request(
             "POST",
             url,
@@ -359,11 +387,12 @@ def _create_training_body(
     webhook: Optional[str] = None,
     webhook_completed: Optional[str] = None,
     webhook_events_filter: Optional[List[str]] = None,
+    **_kwargs,
 ) -> Dict[str, Any]:
     body = {}
 
     if input is not None:
-        body["input"] = encode_json(input, upload_file=upload_file)
+        body["input"] = input
 
     if destination is None:
         raise ValueError(
diff --git a/tests/cassettes/file-prediction.yaml b/tests/cassettes/file-prediction.yaml
new file mode 100644
index 00000000..2368d5cb
--- /dev/null
+++ b/tests/cassettes/file-prediction.yaml
@@ -0,0 +1,30339 @@
+interactions:
+- request:
+    body: ''
+    headers:
+      accept:
+      - '*/*'
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      host:
+      - replicate.delivery
+      user-agent:
+      - python-httpx/0.27.0
+    method: GET
+    uri: https://replicate.delivery/pbxt/LUSNInCegT0XwStCCJjXOojSBhPjpk2Pzj5VNjksiP9cER8A/ComfyUI_02172_.png
+  response:
+    body:
+      string: !!binary |
+        iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAAIl3RFWHRwcm9tcHQAeyI5IjogeyJp
+        bnB1dHMiOiB7IndpZHRoIjogMTAyNCwgImhlaWdodCI6IDEwMjQsICJiYXRjaF9zaXplIjogMX0s
+        ICJjbGFzc190eXBlIjogIkVtcHR5TGF0ZW50SW1hZ2UiLCAiX21ldGEiOiB7InRpdGxlIjogIkVt
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+        cnMuZnAxNi5zYWZldGVuc29ycyJ9LCAiY2xhc3NfdHlwZSI6ICJNWl9Lb2xvcnNVTkVUTG9hZGVy
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+      Date:
+      - Thu, 22 Aug 2024 15:48:52 GMT
+      ETag:
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+      Last-Modified:
+      - Thu, 22 Aug 2024 13:37:10 GMT
+      accept-ranges:
+      - bytes
+      access-control-allow-origin:
+      - '*'
+      server:
+      - UploadServer
+      via:
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+    status:
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+      message: OK
+version: 1
diff --git a/tests/conftest.py b/tests/conftest.py
index a29ed640..1d48b923 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -3,6 +3,10 @@
 
 import pytest
 
+skip_if_no_token = pytest.mark.skipif(
+    os.environ.get("REPLICATE_API_TOKEN") is None, reason="REPLICATE_API_TOKEN not set"
+)
+
 
 @pytest.fixture(scope="session")
 def mock_replicate_api_token(scope="class"):
diff --git a/tests/test_file.py b/tests/test_file.py
index 5e80e939..6efc60c0 100644
--- a/tests/test_file.py
+++ b/tests/test_file.py
@@ -1,9 +1,59 @@
+import os
 import tempfile
 
+import httpx
 import pytest
 
 import replicate
 
+from .conftest import skip_if_no_token
+
+
+@skip_if_no_token
+@pytest.mark.skipif(os.environ.get("CI") is not None, reason="Do not run on CI")
+# @pytest.mark.vcr("file-prediction.yaml")
+@pytest.mark.asyncio
+@pytest.mark.parametrize("async_flag", [True, False])
+async def test_file_prediction(async_flag):
+    # Normally, we'd pass a URL as an input to the model,
+    # but we're testing the file operations here, so we're
+    # downloading the image to a temp file instead.
+    image_url = "https://replicate.delivery/pbxt/LUSNInCegT0XwStCCJjXOojSBhPjpk2Pzj5VNjksiP9cER8A/ComfyUI_02172_.png"
+
+    if async_flag:
+        client = httpx.AsyncClient()
+        response = await client.get(image_url)
+    else:
+        client = httpx.Client()
+        response = httpx.get(image_url)
+
+    with tempfile.NamedTemporaryFile(delete=False) as temp_file:
+        temp_file.write(response.content)
+
+        model = "fofr/flux-dev-controlnet:56ac7b66bd9a1b5eb7d15da5ac5625e4c8c9c5bc26da892caf6249cf38a611ed"
+        input = {
+            "steps": 28,
+            "prompt": "a cyberpunk with natural greys and whites and browns",
+            "control_type": "depth",
+            "control_image": open(temp_file.name, "rb"),
+            "output_format": "webp",
+            "guidance_scale": 2.5,
+            "output_quality": 100,
+            "negative_prompt": "low quality, ugly, distorted, artefacts",
+            "control_strength": 0.45,
+            "depth_preprocessor": "DepthAnything",
+            "soft_edge_preprocessor": "HED",
+            "image_to_image_strength": 0,
+            "return_preprocessed_image": False,
+        }
+
+        if async_flag:
+            output = await replicate.async_run(model, input=input)
+        else:
+            output = replicate.run(model, input=input)
+
+        assert output is not None
+
 
 @pytest.mark.vcr("file-operations.yaml")
 @pytest.mark.asyncio
diff --git a/tests/test_json.py b/tests/test_json.py
new file mode 100644
index 00000000..b8d76569
--- /dev/null
+++ b/tests/test_json.py
@@ -0,0 +1,35 @@
+import io
+
+import pytest
+
+from replicate.json import base64_encode_file
+
+
+@pytest.mark.parametrize(
+    "content, filename, expected",
+    [
+        (b"Hello, World!", "test.txt", "data:text/plain;base64,SGVsbG8sIFdvcmxkIQ=="),
+        (b"\x89PNG\r\n\x1a\n", "image.png", "data:image/png;base64,iVBORw0KGgo="),
+        (
+            "{'key': 'value'}",
+            "data.json",
+            "data:application/json;base64,eydrZXknOiAndmFsdWUnfQ==",
+        ),
+        (
+            b"Random bytes",
+            None,
+            "data:application/octet-stream;base64,UmFuZG9tIGJ5dGVz",
+        ),
+    ],
+)
+def test_base64_encode_file(content, filename, expected):
+    # Create a file-like object with the given content
+    file = io.BytesIO(content if isinstance(content, bytes) else content.encode())
+
+    # Set the filename if provided
+    if filename:
+        file.name = filename
+
+    # Call the function and check the result
+    result = base64_encode_file(file)
+    assert result == expected
diff --git a/tests/test_stream.py b/tests/test_stream.py
index 3f5574b9..561fa6ec 100644
--- a/tests/test_stream.py
+++ b/tests/test_stream.py
@@ -1,14 +1,10 @@
-import os
-
 import pytest
 
 import replicate
 from replicate.exceptions import ReplicateError
 from replicate.stream import ServerSentEvent
 
-skip_if_no_token = pytest.mark.skipif(
-    os.environ.get("REPLICATE_API_TOKEN") is None, reason="REPLICATE_API_TOKEN not set"
-)
+from .conftest import skip_if_no_token
 
 
 @skip_if_no_token