ComfyAPI Core v0.0.2 (#8962)

* ComfyAPI Core v0.0.2

* Respond to PR feedback

* Fix Python 3.9 errors

* Fix missing backward compatibility proxy

* Reorganize types a bit

The input types, input impls, and utility types are now all available in
the versioned API. See the change in `comfy_extras/nodes_video.py` for
an example of their usage.

* Remove the need for `--generate-api-stubs`

* Fix generated stubs differing by Python version

* Fix ruff formatting issues
This commit is contained in:
guill
2025-07-29 19:17:22 -07:00
committed by GitHub
parent 2f74e17975
commit 0a3d062e06
36 changed files with 2128 additions and 518 deletions

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@@ -0,0 +1,43 @@
from comfy_api.latest import (
ComfyAPI_latest,
Input as Input_latest,
InputImpl as InputImpl_latest,
Types as Types_latest,
)
from typing import Type, TYPE_CHECKING
from comfy_api.internal.async_to_sync import create_sync_class
class ComfyAPIAdapter_v0_0_2(ComfyAPI_latest):
VERSION = "0.0.2"
STABLE = False
class Input(Input_latest):
pass
class InputImpl(InputImpl_latest):
pass
class Types(Types_latest):
pass
ComfyAPI = ComfyAPIAdapter_v0_0_2
# Create a synchronous version of the API
if TYPE_CHECKING:
from comfy_api.v0_0_2.generated.ComfyAPISyncStub import ComfyAPISyncStub # type: ignore
ComfyAPISync: Type[ComfyAPISyncStub]
ComfyAPISync = create_sync_class(ComfyAPIAdapter_v0_0_2)
__all__ = [
"ComfyAPI",
"ComfyAPISync",
"Input",
"InputImpl",
"Types",
]

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@@ -0,0 +1,20 @@
from typing import Any, Dict, List, Optional, Tuple, Union, Set, Sequence, cast, NamedTuple
from comfy_api.v0_0_2 import ComfyAPIAdapter_v0_0_2
from PIL.Image import Image
from torch import Tensor
class ComfyAPISyncStub:
def __init__(self) -> None: ...
class ExecutionSync:
def __init__(self) -> None: ...
"""
Update the progress bar displayed in the ComfyUI interface.
This function allows custom nodes and API calls to report their progress
back to the user interface, providing visual feedback during long operations.
Migration from previous API: comfy.utils.PROGRESS_BAR_HOOK
"""
def set_progress(self, value: float, max_value: float, node_id: Union[str, None] = None, preview_image: Union[Image, Tensor, None] = None, ignore_size_limit: bool = False) -> None: ...
execution: ExecutionSync