Merge 49da9c325a into 451af70154

comfy_api/latest/_io.py

@@ -1249,7 +1249,6 @@ class NodeInfoV1:
     experimental: bool=None
     api_node: bool=None
     price_badge: dict | None = None
-    search_aliases: list[str]=None
 
 @dataclass
 class NodeInfoV3:
@@ -1347,8 +1346,6 @@ class Schema:
     hidden: list[Hidden] = field(default_factory=list)
     description: str=""
     """Node description, shown as a tooltip when hovering over the node."""
-    search_aliases: list[str] = field(default_factory=list)
-    """Alternative names for search. Useful for synonyms, abbreviations, or old names after renaming."""
     is_input_list: bool = False
     """A flag indicating if this node implements the additional code necessary to deal with OUTPUT_IS_LIST nodes.
 
@@ -1486,7 +1483,6 @@ class Schema:
             api_node=self.is_api_node,
             python_module=getattr(cls, "RELATIVE_PYTHON_MODULE", "nodes"),
             price_badge=self.price_badge.as_dict(self.inputs) if self.price_badge is not None else None,
-            search_aliases=self.search_aliases if self.search_aliases else None,
         )
         return info
 

comfy_extras/nodes_post_processing.py

@@ -550,7 +550,6 @@ class BatchImagesNode(io.ComfyNode):
             node_id="BatchImagesNode",
             display_name="Batch Images",
             category="image",
-            search_aliases=["batch", "image batch", "batch images", "combine images", "merge images", "stack images"],
             inputs=[
                 io.Autogrow.Input("images", template=autogrow_template)
             ],

comfy_extras/nodes_preview_any.py

@@ -16,7 +16,6 @@ class PreviewAny():
     OUTPUT_NODE = True
 
     CATEGORY = "utils"
-    SEARCH_ALIASES = ["preview", "show", "display", "view", "show text", "display text", "preview text", "show output", "inspect", "debug"]
 
     def main(self, source=None):
         value = 'None'

comfy_extras/nodes_string.py

@@ -11,7 +11,6 @@ class StringConcatenate(io.ComfyNode):
             node_id="StringConcatenate",
             display_name="Concatenate",
             category="utils/string",
-            search_aliases=["text concat", "join text", "merge text", "combine strings", "concat", "concatenate", "append text", "combine text", "string"],
             inputs=[
                 io.String.Input("string_a", multiline=True),
                 io.String.Input("string_b", multiline=True),

comfy_extras/nodes_upscale_model.py

@@ -53,7 +53,6 @@ class ImageUpscaleWithModel(io.ComfyNode):
             node_id="ImageUpscaleWithModel",
             display_name="Upscale Image (using Model)",
             category="image/upscaling",
-            search_aliases=["upscale", "upscaler", "upsc", "enlarge image", "super resolution", "hires", "superres", "increase resolution"],
             inputs=[
                 io.UpscaleModel.Input("upscale_model"),
                 io.Image.Input("image"),

nodes.py

@@ -70,7 +70,6 @@ class CLIPTextEncode(ComfyNodeABC):
 
     CATEGORY = "conditioning"
     DESCRIPTION = "Encodes a text prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images."
-    SEARCH_ALIASES = ["text", "prompt", "text prompt", "positive prompt", "negative prompt", "encode text", "text encoder", "encode prompt"]
 
     def encode(self, clip, text):
         if clip is None:
@@ -87,7 +86,6 @@ class ConditioningCombine:
     FUNCTION = "combine"
 
     CATEGORY = "conditioning"
-    SEARCH_ALIASES = ["combine", "merge conditioning", "combine prompts", "merge prompts", "mix prompts", "add prompt"]
 
     def combine(self, conditioning_1, conditioning_2):
         return (conditioning_1 + conditioning_2, )
@@ -296,7 +294,6 @@ class VAEDecode:
 
     CATEGORY = "latent"
     DESCRIPTION = "Decodes latent images back into pixel space images."
-    SEARCH_ALIASES = ["decode", "decode latent", "latent to image", "render latent"]
 
     def decode(self, vae, samples):
         latent = samples["samples"]
@@ -349,7 +346,6 @@ class VAEEncode:
     FUNCTION = "encode"
 
     CATEGORY = "latent"
-    SEARCH_ALIASES = ["encode", "encode image", "image to latent"]
 
     def encode(self, vae, pixels):
         t = vae.encode(pixels)
@@ -585,7 +581,6 @@ class CheckpointLoaderSimple:
 
     CATEGORY = "loaders"
     DESCRIPTION = "Loads a diffusion model checkpoint, diffusion models are used to denoise latents."
-    SEARCH_ALIASES = ["load model", "checkpoint", "model loader", "load checkpoint", "ckpt", "model"]
 
     def load_checkpoint(self, ckpt_name):
         ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name)
@@ -672,7 +667,6 @@ class LoraLoader:
 
     CATEGORY = "loaders"
     DESCRIPTION = "LoRAs are used to modify diffusion and CLIP models, altering the way in which latents are denoised such as applying styles. Multiple LoRA nodes can be linked together."
-    SEARCH_ALIASES = ["lora", "load lora", "apply lora", "lora loader", "lora model"]
 
     def load_lora(self, model, clip, lora_name, strength_model, strength_clip):
         if strength_model == 0 and strength_clip == 0:
@@ -820,7 +814,6 @@ class ControlNetLoader:
     FUNCTION = "load_controlnet"
 
     CATEGORY = "loaders"
-    SEARCH_ALIASES = ["controlnet", "control net", "cn", "load controlnet", "controlnet loader"]
 
     def load_controlnet(self, control_net_name):
         controlnet_path = folder_paths.get_full_path_or_raise("controlnet", control_net_name)
@@ -897,7 +890,6 @@ class ControlNetApplyAdvanced:
     FUNCTION = "apply_controlnet"
 
     CATEGORY = "conditioning/controlnet"
-    SEARCH_ALIASES = ["controlnet", "apply controlnet", "use controlnet", "control net"]
 
     def apply_controlnet(self, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None, extra_concat=[]):
         if strength == 0:
@@ -1208,7 +1200,6 @@ class EmptyLatentImage:
 
     CATEGORY = "latent"
     DESCRIPTION = "Create a new batch of empty latent images to be denoised via sampling."
-    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)
@@ -1549,7 +1540,6 @@ class KSampler:
 
     CATEGORY = "sampling"
     DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image."
-    SEARCH_ALIASES = ["sampler", "sample", "generate", "denoise", "diffuse", "txt2img", "img2img"]
 
     def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0):
         return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
@@ -1614,7 +1604,6 @@ class SaveImage:
 
     CATEGORY = "image"
     DESCRIPTION = "Saves the input images to your ComfyUI output directory."
-    SEARCH_ALIASES = ["save", "save image", "export image", "output image", "write image", "download"]
 
     def save_images(self, images, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
         filename_prefix += self.prefix_append
@@ -1651,8 +1640,6 @@ class PreviewImage(SaveImage):
         self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
         self.compress_level = 1
 
-    SEARCH_ALIASES = ["preview", "preview image", "show image", "view image", "display image", "image viewer"]
-
     @classmethod
     def INPUT_TYPES(s):
         return {"required":
@@ -1671,7 +1658,6 @@ class LoadImage:
                 }
 
     CATEGORY = "image"
-    SEARCH_ALIASES = ["load image", "open image", "import image", "image input", "upload image", "read image", "image loader"]
 
     RETURN_TYPES = ("IMAGE", "MASK")
     FUNCTION = "load_image"
@@ -1824,7 +1810,6 @@ class ImageScale:
     FUNCTION = "upscale"
 
     CATEGORY = "image/upscaling"
-    SEARCH_ALIASES = ["resize", "resize image", "scale image", "image resize", "zoom", "zoom in", "change size"]
 
     def upscale(self, image, upscale_method, width, height, crop):
         if width == 0 and height == 0:

server.py

@@ -682,8 +682,6 @@ class PromptServer():
 
             if hasattr(obj_class, 'API_NODE'):
                 info['api_node'] = obj_class.API_NODE
-
-            info['search_aliases'] = getattr(obj_class, 'SEARCH_ALIASES', [])
             return info
 
         @routes.get("/object_info")