Superside ComfyUI Nodes
6ebd0aa6cd
Ported and curated from the internal fal-flux-nodes package: dropped 3 redundant nodes (Nano Banana v1, AnyVLM, SeedVR v1) that were fully superseded by newer variants already in the set. Every node now takes an explicit api_key STRING input instead of reading from a config file or environment variable, so no key is ever baked into this repo.
106 lines
3.1 KiB
Python
106 lines
3.1 KiB
Python
import logging
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from .base_node import (
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SupersideFalNode,
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ImageProcessingMixin,
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APIClientMixin,
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API_KEY_INPUT_SPEC,
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)
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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class IdeogramUpscaleNode(
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SupersideFalNode, ImageProcessingMixin, APIClientMixin
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):
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"""
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Ideogram Upscale Node: Upscale images using Ideogram's state-of-the-art
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image upscaling model via fal.ai API.
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"""
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"image": ("IMAGE",),
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"api_key": API_KEY_INPUT_SPEC,
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},
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"optional": {
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"prompt": (
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"STRING",
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{
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"multiline": True,
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"default": "",
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"placeholder": "Optional prompt to guide the upscaling",
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},
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),
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"resemblance": (
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"INT",
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{
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"default": 50,
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"min": 1,
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"max": 100,
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"step": 1,
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"display": "slider",
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},
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),
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"detail": (
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"INT",
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{
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"default": 50,
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"min": 1,
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"max": 100,
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"step": 1,
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"display": "slider",
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},
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),
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"expand_prompt": (
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"BOOLEAN",
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{
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"default": False,
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},
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),
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"seed": ("INT", {"min": 0, "max": 0xFFFFFFFFFFFFFFFF}),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "upscale"
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DESCRIPTION = (
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"Upscale images using Ideogram's state-of-the-art image upscaling model"
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)
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def prepare_arguments(self, client, image, **kwargs):
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"""Prepare arguments for the API call."""
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# Upload image and get URL
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image_url = self.upload_image(client, image)
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arguments = {
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"image_url": image_url,
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"resemblance": kwargs.get("resemblance", 50),
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"detail": kwargs.get("detail", 50),
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}
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# Add optional parameters if provided
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if kwargs.get("prompt"):
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arguments["prompt"] = kwargs["prompt"]
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if kwargs.get("expand_prompt") is not None:
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arguments["expand_prompt"] = kwargs["expand_prompt"]
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if kwargs.get("seed") and kwargs["seed"] != 0:
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arguments["seed"] = kwargs["seed"]
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return arguments
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def upscale(self, image, api_key, **kwargs):
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"""Main upscaling function."""
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try:
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client = self.get_client(api_key)
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arguments = self.prepare_arguments(client, image, **kwargs)
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result = self.call_api(client, "fal-ai/ideogram/upscale", arguments)
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return self.process_images(result)
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except Exception as e:
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logger.error(f"Upscaling failed: {str(e)}")
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raise
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