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Update some descriptions

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kijai 2025-02-23 19:55:13 +02:00
parent 14430c118d
commit 302fd1bbe6
3 changed files with 11 additions and 3 deletions
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4
nodes/image_nodes.py
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@ -2717,6 +2717,7 @@ class FastPreview:
FUNCTION = "preview" FUNCTION = "preview"
CATEGORY = "KJNodes/experimental" CATEGORY = "KJNodes/experimental"
OUTPUT_NODE = True OUTPUT_NODE = True
DESCRIPTION = "Experimental node for faster image previews by displaying through base64 it without saving to disk."
def preview(self, image, format, quality): def preview(self, image, format, quality):
pil_image = to_pil_image(image[0].permute(2, 0, 1)) pil_image = to_pil_image(image[0].permute(2, 0, 1))
@ -2884,6 +2885,7 @@ class ImageCropByMask:
RETURN_NAMES = ("image", ) RETURN_NAMES = ("image", )
FUNCTION = "crop" FUNCTION = "crop"
CATEGORY = "KJNodes/image" CATEGORY = "KJNodes/image"
DESCRIPTION = "Crops the input images based on the provided mask."
def crop(self, image, mask): def crop(self, image, mask):
B, H, W, C = image.shape B, H, W, C = image.shape
@ -3097,7 +3099,7 @@ class ImagePadKJ:
RETURN_NAMES = ("images", "masks",) RETURN_NAMES = ("images", "masks",)
FUNCTION = "pad" FUNCTION = "pad"
CATEGORY = "KJNodes/image" CATEGORY = "KJNodes/image"
DESCRIPTION = "Crops the input images based on the provided masks." DESCRIPTION = "Pad the input image and optionally mask with the specified padding."
def pad(self, image, left, right, top, bottom, extra_padding, color, pad_mode, mask=None): def pad(self, image, left, right, top, bottom, extra_padding, color, pad_mode, mask=None):
B, H, W, C = image.shape B, H, W, C = image.shape

1
nodes/mask_nodes.py
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@ -1291,6 +1291,7 @@ class SeparateMasks:
FUNCTION = "separate" FUNCTION = "separate"
CATEGORY = "KJNodes/masking" CATEGORY = "KJNodes/masking"
OUTPUT_NODE = True OUTPUT_NODE = True
DESCRIPTION = "Separates a mask into multiple masks based on the size of the connected components."
def polygon_to_mask(self, polygon, shape): def polygon_to_mask(self, polygon, shape):
mask = np.zeros((shape[0], shape[1]), dtype=np.uint8) # Fixed shape handling mask = np.zeros((shape[0], shape[1]), dtype=np.uint8) # Fixed shape handling

9
nodes/nodes.py
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@ -2318,8 +2318,10 @@ class ImageNoiseAugmentation:
RETURN_TYPES = ("IMAGE",) RETURN_TYPES = ("IMAGE",)
FUNCTION = "add_noise" FUNCTION = "add_noise"
CATEGORY = "KJNodes/image" CATEGORY = "KJNodes/image"
DESCRIPTION = """
Add noise to an image.
"""
def add_noise(self, image, noise_aug_strength, seed): def add_noise(self, image, noise_aug_strength, seed):
torch.manual_seed(seed) torch.manual_seed(seed)
@ -2411,7 +2413,6 @@ class VAELoaderKJ:
RETURN_TYPES = ("VAE",) RETURN_TYPES = ("VAE",)
FUNCTION = "load_vae" FUNCTION = "load_vae"
CATEGORY = "KJNodes/vae" CATEGORY = "KJNodes/vae"
def load_vae(self, vae_name, device, weight_dtype): def load_vae(self, vae_name, device, weight_dtype):
@ -2478,6 +2479,10 @@ class ScheduledCFGGuidance:
RETURN_TYPES = ("GUIDER",) RETURN_TYPES = ("GUIDER",)
FUNCTION = "get_guider" FUNCTION = "get_guider"
CATEGORY = "KJNodes/experimental" CATEGORY = "KJNodes/experimental"
DESCRiPTION = """
CFG Guider that allows for scheduled CFG changes over steps, the steps outside the range will use CFG 1.0 thus being processed faster.
cfg input can be a list of floats matching step count, or a single float for all steps.
"""
def get_guider(self, model, cfg, positive, negative, start_percent, end_percent): def get_guider(self, model, cfg, positive, negative, start_percent, end_percent):
guider = Guider_ScheduledCFG(model) guider = Guider_ScheduledCFG(model)