Merge branch 'master' into mark-dtype-advanced

This commit is contained in:
Christian Byrne
2026-03-17 07:02:45 -07:00
committed by GitHub
56 changed files with 1957 additions and 444 deletions

View File

@@ -81,6 +81,7 @@ class CLIPTextEncode(ComfyNodeABC):
class ConditioningCombine:
ESSENTIALS_CATEGORY = "Image Generation"
@classmethod
def INPUT_TYPES(s):
return {"required": {"conditioning_1": ("CONDITIONING", ), "conditioning_2": ("CONDITIONING", )}}
@@ -1211,9 +1212,6 @@ class GLIGENTextBoxApply:
return (c, )
class EmptyLatentImage:
def __init__(self):
self.device = comfy.model_management.intermediate_device()
@classmethod
def INPUT_TYPES(s):
return {
@@ -1232,7 +1230,7 @@ class EmptyLatentImage:
SEARCH_ALIASES = ["empty", "empty latent", "new latent", "create latent", "blank latent", "blank"]
def generate(self, width, height, batch_size=1):
latent = torch.zeros([batch_size, 4, height // 8, width // 8], device=self.device)
latent = torch.zeros([batch_size, 4, height // 8, width // 8], device=comfy.model_management.intermediate_device(), dtype=comfy.model_management.intermediate_dtype())
return ({"samples": latent, "downscale_ratio_spacial": 8}, )
@@ -1724,6 +1722,8 @@ class LoadImage:
output_masks = []
w, h = None, None
dtype = comfy.model_management.intermediate_dtype()
for i in ImageSequence.Iterator(img):
i = node_helpers.pillow(ImageOps.exif_transpose, i)
@@ -1748,8 +1748,8 @@ class LoadImage:
mask = 1. - torch.from_numpy(mask)
else:
mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
output_images.append(image)
output_masks.append(mask.unsqueeze(0))
output_images.append(image.to(dtype=dtype))
output_masks.append(mask.unsqueeze(0).to(dtype=dtype))
if img.format == "MPO":
break # ignore all frames except the first one for MPO format
@@ -1779,6 +1779,7 @@ class LoadImage:
return True
class LoadImageMask:
ESSENTIALS_CATEGORY = "Image Tools"
SEARCH_ALIASES = ["import mask", "alpha mask", "channel mask"]
_color_channels = ["alpha", "red", "green", "blue"]
@@ -1887,6 +1888,7 @@ class ImageScale:
return (s,)
class ImageScaleBy:
ESSENTIALS_CATEGORY = "Image Tools"
upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
@classmethod