Superside ComfyUI Nodes
df2c9c0beb
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.
111 lines
3.6 KiB
Python
111 lines
3.6 KiB
Python
import logging
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from .base_node import (
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APIClientMixin,
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SupersideFalNode,
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ImageProcessingMixin,
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API_KEY_INPUT_SPEC,
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)
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logger = logging.getLogger(__name__)
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class SupersideSeedVR2UpscaleImageNode(
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SupersideFalNode, ImageProcessingMixin, APIClientMixin
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):
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"""
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SeedVR v2 Upscale Image Node: Upscale images using SeedVR's seamless
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image upscaler 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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"upscale_mode": (["target", "factor"], {"default": "factor"}),
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"upscale_factor": (
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"FLOAT",
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{
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"default": 2.0,
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"min": 1.0,
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"max": 10.0,
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"step": 0.1,
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"display": "slider",
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},
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),
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"target_resolution": (
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["720p", "1080p", "1440p", "2160p"],
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{"default": "1080p"},
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),
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"seed": ("INT", {"min": 0, "max": 0xFFFFFFFFFFFFFFFF}),
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"noise_scale": (
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"FLOAT",
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{
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"default": 0.1,
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"min": 0.0,
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"max": 1.0,
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"step": 0.001,
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"display": "slider",
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},
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),
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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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DISPLAY_NAME = "SeedVR2 Upscale Image"
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DESCRIPTION = "Upscale images using SeedVR2 seamless image upscaling"
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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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arguments = {
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"image_url": self.upload_image(client, image),
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}
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if kwargs.get("upscale_mode") is not None:
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arguments["upscale_mode"] = kwargs["upscale_mode"]
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if kwargs.get("target_resolution") is not None:
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arguments["target_resolution"] = kwargs["target_resolution"]
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if kwargs.get("upscale_factor") is not None:
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arguments["upscale_factor"] = kwargs["upscale_factor"]
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if kwargs.get("noise_scale") is not None:
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arguments["noise_scale"] = kwargs["noise_scale"]
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if kwargs.get("seed") not in (None, 0):
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arguments["seed"] = kwargs["seed"]
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return arguments
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def process_seedvr_result(self, result):
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"""Process SeedVR's single-image response format."""
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if "image" not in result or not result["image"]:
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raise RuntimeError("No image was generated by the API.")
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img_info = result["image"]
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logger.debug(f"Processing SeedVR 2 image: {img_info}")
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if not isinstance(img_info, dict) or "url" not in img_info:
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raise RuntimeError("Invalid image format in response")
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return self.process_images({"images": [img_info]})
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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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logger.info(f"Calling SeedVR 2 API with arguments: {arguments}")
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result = self.call_api(client, "fal-ai/seedvr/upscale/image/seamless", arguments)
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return self.process_seedvr_result(result)
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except Exception as e:
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logger.error(f"SeedVR 2 upscaling failed: {str(e)}")
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raise
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