Sirshendu Ganguly
056ade0661
- Use librosa instead of torchaudio for mediaStorage - Created dedicated toggle handlers for Image Inference, Video Inference, Upscaler, Audio Inference, Accelerator Options, Bytedance Provider Settings, and OpenAI Provider Settings - Fixed Audio Inference widget ordering (use parameters now appear before their corresponding parameters) - All handlers use the same proven pattern from videoInferenceDimensionsHandler - Improved widget disabling/enabling functionality across all nodes
123 lines
5.0 KiB
Python
123 lines
5.0 KiB
Python
"""
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Runware Bria Image Provider Settings Node
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Provides Bria-specific settings for image generation
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"""
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import torch
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from typing import Optional, Dict, Any
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class RunwareBriaProviderSettings:
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"""Runware Bria Image Provider Settings Node"""
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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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"optional": {
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"medium": (["None", "photography", "art"], {
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"tooltip": "Select the medium type for image generation",
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"default": "photography",
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}),
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"promptEnhancement": ("BOOLEAN", {
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"tooltip": "When set to true, enhances the provided prompt by generating additional, more descriptive variations, resulting in more diverse and creative output images. Note that turning this flag on may result in a few additional seconds to the inference time.",
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"default": False,
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"label_on": "Enabled",
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"label_off": "Disabled",
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}),
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"enhanceImage": ("BOOLEAN", {
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"tooltip": "When set to true, generates images with richer details, sharper textures, and enhanced clarity. Slightly increases generation time per image.",
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"default": False,
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"label_on": "Enabled",
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"label_off": "Disabled",
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}),
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"promptContentModeration": ("BOOLEAN", {
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"tooltip": "When enabled (default: true), the input prompt is scanned for NSFW or ethically restricted terms before image generation. If the prompt violates Bria's ethical guidelines, the request will be rejected with a 408 error.",
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"default": True,
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"label_on": "Enabled",
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"label_off": "Disabled",
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}),
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"contentModeration": ("BOOLEAN", {
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"tooltip": "When enabled, applies content moderation to both input visuals and generated outputs.",
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"default": True,
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"label_on": "Enabled",
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"label_off": "Disabled",
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}),
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"ipSignal": ("BOOLEAN", {
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"tooltip": "Flags prompts with potential IP content. If detected, a warning will be included in the response.",
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"default": False,
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"label_on": "Enabled",
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"label_off": "Disabled",
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}),
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"preserveAlpha": ("BOOLEAN", {
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"tooltip": "Preserve alpha channel in the image.",
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"default": None,
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"label_on": "Enabled",
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"label_off": "Disabled",
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}),
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}
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}
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RETURN_TYPES = ("RUNWAREPROVIDERSETTINGS",)
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RETURN_NAMES = ("providerSettings",)
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FUNCTION = "create_provider_settings"
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CATEGORY = "Runware/Provider Settings"
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DESCRIPTION = "Configure Bria-specific provider settings for image generation including medium type, prompt enhancement, image enhancement, and content moderation options."
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def create_provider_settings(self, **kwargs) -> tuple[Dict[str, Any]]:
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"""Create Bria provider settings"""
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# Get parameters
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medium = kwargs.get("medium", "photography")
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promptEnhancement = kwargs.get("promptEnhancement", False)
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enhanceImage = kwargs.get("enhanceImage", False)
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promptContentModeration = kwargs.get("promptContentModeration", True)
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contentModeration = kwargs.get("contentModeration", True)
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ipSignal = kwargs.get("ipSignal", False)
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preserveAlpha = kwargs.get("preserveAlpha", None)
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# Build settings dictionary
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settings = {}
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# Add medium
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if medium is not None and medium != "None":
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settings["medium"] = medium
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# Add promptEnhancement
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if promptEnhancement is not None:
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settings["promptEnhancement"] = promptEnhancement
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# Add enhanceImage
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if enhanceImage is not None:
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settings["enhanceImage"] = enhanceImage
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# Add promptContentModeration
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if promptContentModeration is not None:
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settings["promptContentModeration"] = promptContentModeration
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# Add contentModeration
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if contentModeration is not None:
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settings["contentModeration"] = contentModeration
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# Add ipSignal
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if ipSignal is not None:
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settings["ipSignal"] = ipSignal
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# Add preserveAlpha
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if preserveAlpha is not None:
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settings["preserveAlpha"] = preserveAlpha
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# Clean up None values
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settings = {k: v for k, v in settings.items() if v is not None}
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return (settings,)
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# Node class mappings
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NODE_CLASS_MAPPINGS = {
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"RunwareBriaProviderSettings": RunwareBriaProviderSettings,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"RunwareBriaProviderSettings": "Runware Bria Provider Settings",
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}
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