nodes/tenser-tensor-ComfyUI-TenserTensor
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Some bugfixes and refactoring image nodes

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This commit is contained in:
TenserTensor
2026-03-02 21:06:50 +03:00
parent 9f1d5d6df4
commit 768f4d84e9
1 changed files with 17 additions and 20 deletions
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nodes_image.py
+17 -20
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@@ -39,13 +39,6 @@ def align_to_step(size, scale_factor, dimension_step):
return round(size * scale_factor / dimension_step) * dimension_step
def get_dims(t):
if t.ndim == 2: return t.shape
if t.ndim == 3: return t.shape[1:]
return t.shape[1:3]
# crop = "center" / "disabled"
def resize_image(timage, to_width, to_height, upscale_method, dimension_step=1, crop="disabled") -> torch.Tensor:
is_mask = timage.ndim == 3
@@ -95,7 +88,11 @@ def resize_image_to_megapixels(timage, resize_method, megapixels, dimension_step
def get_torch_device(device=None):
return torch.device(device) if device is not None else model_management.get_torch_device()
return (
model_management.get_torch_device()
if device is None or device == "default"
else torch.device(device)
)
def load_image(filename, create_mask, device=None) -> tuple[torch.Tensor, torch.Tensor]:
@@ -152,14 +149,14 @@ def load_image(filename, create_mask, device=None) -> tuple[torch.Tensor, torch.
return o_image, o_mask,
class TT_ImageLoaderResizerNode(IO.ComfyNode):
@classmethod
def get_image_files(cls):
return sorted([
f.name for f in os.scandir(folder_paths.get_input_directory())
if f.is_file() and Path(f.name).suffix.lower() in (".png", ".jpg", ".webp", ".bmp")
])
def get_image_files():
return sorted([
f.name for f in os.scandir(folder_paths.get_input_directory())
if f.is_file() and Path(f.name).suffix.lower() in (".png", ".jpg", ".webp", ".bmp")
])
class TT_ImageLoaderResizerNode(IO.ComfyNode):
@classmethod
def define_schema(cls) -> IO.Schema:
return IO.Schema(
@@ -172,8 +169,8 @@ class TT_ImageLoaderResizerNode(IO.ComfyNode):
IO.Combo.Input("resize_method", options=RESIZE_METHODS, advanced=True),
IO.Int.Input("dimension_step", default=1, min=1, max=256, advanced=True),
IO.Combo.Input("megapixels", options=MEGAPIXELS, advanced=True),
IO.Boolean.Input("create_mask", default=False, label_on="Mask", label_off="None"),
IO.Combo.Input("image", options=cls.get_image_files(), upload=UploadType.image)
IO.Boolean.Input("create_mask", default=False, label_on="Mask", label_off="Empty"),
IO.Combo.Input("image", options=get_image_files(), upload=UploadType.image)
],
outputs=[
IO.Image.Output(display_name="IMAGE"),
@@ -349,7 +346,7 @@ BUFFER_FACTOR = 384.0
def upscale(timage, **kwargs):
device_name, upscale_tile, upscale_overlap = (
kwargs.get("upscaler_device", "default"),
kwargs.get("upscaler_device", None),
kwargs.get("upscale_tile"),
kwargs.get("upscale_overlap")
)
@@ -425,7 +422,7 @@ class TT_ImagePreviewUpscaleSaveNode(IO.ComfyNode):
@classmethod
def execute(cls, **kwargs) -> IO.NodeOutput:
timage, _ = load_image(kwargs.get("image"), create_mask=False)
timage = kwargs.get("image")
if kwargs.get("upscale_image"):
timage = upscale(timage, **kwargs)
@@ -455,7 +452,7 @@ class TT_GuiderImageReferenceNode(IO.ComfyNode):
IO.Combo.Input("megapixels", options=MEGAPIXELS),
IO.Combo.Input("resize_method", options=RESIZE_METHODS, advanced=True),
IO.Int.Input("dimension_step", default=1, min=1, max=256, advanced=True),
IO.Combo.Input("image", options=cls.get_image_files(), upload=UploadType.image)
IO.Combo.Input("image", options=get_image_files(), upload=UploadType.image)
],
outputs=[
IO.Vae.Output("VAE"),