Files
Superside ComfyUI Nodes df2c9c0beb Rename all 28 node classes with a Superside prefix
Root cause of nodes not appearing in ComfyUI: this package's node
classes originally reused the exact same class names as the internal
fal-flux-nodes package it was migrated from (e.g. NanoBananaProEditNode,
SeedreamV45EditNode). ComfyUI's NODE_CLASS_MAPPINGS is a flat global
dict - when both packages are installed, whichever loads first wins
and the other's registration for that key is silently dropped, which
is why none of the "Superside "-prefixed nodes were showing up.

Every class is now uniquely prefixed (e.g. SupersideNanoBananaProEditNode),
so this package can never collide with fal-flux-nodes, ComfyUI-fal-API,
or any other node pack regardless of install order. Updated __init__.py,
web/js/show_text.js's TEXT_DISPLAY_NODES list, and README.md to match.
2026-07-09 18:29:46 -04:00

106 lines
3.1 KiB
Python

import logging
from .base_node import (
SupersideFalNode,
ImageProcessingMixin,
APIClientMixin,
API_KEY_INPUT_SPEC,
)
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
class SupersideIdeogramUpscaleNode(
SupersideFalNode, ImageProcessingMixin, APIClientMixin
):
"""
Ideogram Upscale Node: Upscale images using Ideogram's state-of-the-art
image upscaling model via fal.ai API.
"""
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"image": ("IMAGE",),
"api_key": API_KEY_INPUT_SPEC,
},
"optional": {
"prompt": (
"STRING",
{
"multiline": True,
"default": "",
"placeholder": "Optional prompt to guide the upscaling",
},
),
"resemblance": (
"INT",
{
"default": 50,
"min": 1,
"max": 100,
"step": 1,
"display": "slider",
},
),
"detail": (
"INT",
{
"default": 50,
"min": 1,
"max": 100,
"step": 1,
"display": "slider",
},
),
"expand_prompt": (
"BOOLEAN",
{
"default": False,
},
),
"seed": ("INT", {"min": 0, "max": 0xFFFFFFFFFFFFFFFF}),
},
}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "upscale"
DESCRIPTION = (
"Upscale images using Ideogram's state-of-the-art image upscaling model"
)
def prepare_arguments(self, client, image, **kwargs):
"""Prepare arguments for the API call."""
# Upload image and get URL
image_url = self.upload_image(client, image)
arguments = {
"image_url": image_url,
"resemblance": kwargs.get("resemblance", 50),
"detail": kwargs.get("detail", 50),
}
# Add optional parameters if provided
if kwargs.get("prompt"):
arguments["prompt"] = kwargs["prompt"]
if kwargs.get("expand_prompt") is not None:
arguments["expand_prompt"] = kwargs["expand_prompt"]
if kwargs.get("seed") and kwargs["seed"] != 0:
arguments["seed"] = kwargs["seed"]
return arguments
def upscale(self, image, api_key, **kwargs):
"""Main upscaling function."""
try:
client = self.get_client(api_key)
arguments = self.prepare_arguments(client, image, **kwargs)
result = self.call_api(client, "fal-ai/ideogram/upscale", arguments)
return self.process_images(result)
except Exception as e:
logger.error(f"Upscaling failed: {str(e)}")
raise