The node was calling bria/replace-background, whose API only exposes basic params (prompt, seed, steps_num) - which is what shows up as the "basic" model in fal's request logs. Switch to fal-ai/bria/background/replace, Bria's current, fuller background-replacement model: adds reference-image guidance (ref_image), prompt refinement, a fast/quality toggle, and multiple output variations (num_images). Verified end-to-end against the live fal API. Display renamed to "Bria Background Replace"; class name and mapping key kept so existing graphs still resolve the node. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
152 lines
5.6 KiB
Python
152 lines
5.6 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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logger = logging.getLogger(__name__)
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class SupersideBriaReplaceBackgroundNode(
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SupersideFalNode, ImageProcessingMixin, APIClientMixin
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):
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"""
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Bria Background Replace Node: Replace an image's background using Bria's
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newer Background Replace model on fal.ai (endpoint
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"fal-ai/bria/background/replace").
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This is the richer, current background-replacement endpoint - NOT the
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older basic "bria/replace-background" (which only takes a prompt +
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steps_num). It supports guiding the new background with a reference
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image, prompt refinement, a fast/quality toggle, and generating several
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variations at once. Trained on licensed data for commercial use.
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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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"prompt": (
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"STRING",
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{
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"multiline": True,
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"placeholder": "Describe the new background scene",
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},
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),
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"api_key": API_KEY_INPUT_SPEC,
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},
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"optional": {
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"ref_image": (
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"IMAGE",
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{"tooltip": "Optional reference image to guide the new background's look, instead of (or alongside) the text prompt."},
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),
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"negative_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": "Describe what to avoid in the background",
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},
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),
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"num_images": (
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"INT",
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{"default": 1, "min": 1, "max": 4, "tooltip": "How many background variations to generate."},
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),
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"refine_prompt": (
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"BOOLEAN",
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{"default": True, "tooltip": "Let Bria refine/expand your prompt for better results."},
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),
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"fast": (
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"BOOLEAN",
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{"default": True, "tooltip": "ON = faster model; OFF = higher-quality (slower) model."},
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),
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"seed": ("INT", {"default": -1, "min": -1, "max": 2147483647, "tooltip": "-1 = random"}),
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"sync_mode": ("BOOLEAN", {"default": False}),
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},
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"hidden": {
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"unique_id": "UNIQUE_ID",
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"extra_pnginfo": "EXTRA_PNGINFO",
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},
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}
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RETURN_TYPES = ("IMAGE", "STRING")
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RETURN_NAMES = ("image", "info")
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FUNCTION = "generate"
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OUTPUT_NODE = True
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DESCRIPTION = (
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"Replace an image's background using Bria Background Replace on fal.ai "
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"(endpoint fal-ai/bria/background/replace - the richer current model, "
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"not the basic bria/replace-background). Guide it with a text prompt "
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"and/or a reference image; supports multiple variations."
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)
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def prepare_arguments(self, client, image, prompt, **kwargs):
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image_url = self.upload_image(client, image)
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arguments = {"image_url": image_url}
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if prompt and prompt.strip():
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arguments["prompt"] = prompt.strip()
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ref_image = kwargs.get("ref_image")
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if ref_image is not None:
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arguments["ref_image_url"] = self.upload_image(client, ref_image)
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if kwargs.get("negative_prompt"):
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arguments["negative_prompt"] = kwargs["negative_prompt"]
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if kwargs.get("num_images") is not None:
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arguments["num_images"] = kwargs["num_images"]
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if kwargs.get("refine_prompt") is not None:
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arguments["refine_prompt"] = kwargs["refine_prompt"]
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if kwargs.get("fast") is not None:
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arguments["fast"] = kwargs["fast"]
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seed = kwargs.get("seed", -1)
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if seed is not None and seed != -1:
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arguments["seed"] = seed
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if kwargs.get("sync_mode") is not None:
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arguments["sync_mode"] = kwargs["sync_mode"]
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return arguments
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def generate(self, image, prompt, api_key, unique_id=None, extra_pnginfo=None, **kwargs):
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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, prompt, **kwargs)
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result = self.call_api(client, "fal-ai/bria/background/replace", arguments)
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# This endpoint returns an "images" list.
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images = self.process_images(result)
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first_url = ""
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if isinstance(result.get("images"), list) and result["images"]:
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first_url = result["images"][0].get("url", "")
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info = first_url
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if unique_id is not None and extra_pnginfo is not None:
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if (
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isinstance(extra_pnginfo, list)
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and isinstance(extra_pnginfo[0], dict)
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and "workflow" in extra_pnginfo[0]
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):
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workflow = extra_pnginfo[0]["workflow"]
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node = next(
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(x for x in workflow["nodes"] if str(x["id"]) == str(unique_id)),
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None,
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)
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if node:
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node["widgets_values"] = [info]
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return {"ui": {"text": [info]}, "result": (images[0], info)}
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except Exception as e:
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logger.error(f"Bria background replace failed: {str(e)}")
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raise RuntimeError(f"Bria background replace failed: {str(e)}") from e
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