520 lines
19 KiB
Python
520 lines
19 KiB
Python
from __future__ import annotations
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import json
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import math
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import random
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try:
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from .seed_config import (
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build_seed_config_json,
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build_seed_lock_config_json,
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configured_seed_from_axes,
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normalize_reroll_axis,
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seed_reroll_axis_choices,
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seed_mode_choices,
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)
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except ImportError: # Allows local smoke tests from the repository root.
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from seed_config import (
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build_seed_config_json,
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build_seed_lock_config_json,
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configured_seed_from_axes,
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normalize_reroll_axis,
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seed_reroll_axis_choices,
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seed_mode_choices,
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)
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SXCP_SEED_CONFIG = "SXCP_SEED_CONFIG"
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SDXL_BUCKET_RESOLUTIONS = [
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{"orientation": "portrait", "width": 896, "height": 1792, "aspect": 0.50, "mp": 1.61},
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{"orientation": "portrait", "width": 960, "height": 1664, "aspect": 0.58, "mp": 1.60},
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{"orientation": "portrait", "width": 1024, "height": 1600, "aspect": 0.64, "mp": 1.64},
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{"orientation": "portrait", "width": 1088, "height": 1472, "aspect": 0.74, "mp": 1.60},
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{"orientation": "portrait", "width": 1152, "height": 1408, "aspect": 0.82, "mp": 1.62},
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{"orientation": "portrait", "width": 1216, "height": 1344, "aspect": 0.90, "mp": 1.63},
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{"orientation": "square", "width": 1280, "height": 1280, "aspect": 1.00, "mp": 1.64},
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{"orientation": "landscape", "width": 1344, "height": 1216, "aspect": 1.11, "mp": 1.63},
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{"orientation": "landscape", "width": 1408, "height": 1152, "aspect": 1.22, "mp": 1.62},
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{"orientation": "landscape", "width": 1472, "height": 1088, "aspect": 1.35, "mp": 1.60},
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{"orientation": "landscape", "width": 1536, "height": 1024, "aspect": 1.50, "mp": 1.57},
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]
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KREA2_API_ASPECT_RATIOS = ["1:1", "4:3", "3:2", "16:9", "2.35:1", "4:5", "2:3", "9:16"]
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KREA2_ASPECT_RATIOS = KREA2_API_ASPECT_RATIOS + ["8:9", "21:9", "9:21", "3:1", "1:3"]
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KREA2_MEGAPIXEL_PRESETS = [
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"1.0MP",
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"1.25MP",
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"1.5MP",
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"1.75MP",
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"2.0MP",
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"2.25MP",
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"2.5MP",
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"2.75MP",
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"3.0MP",
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"3.25MP",
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"3.5MP",
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"3.75MP",
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"4.0MP",
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"max_for_aspect",
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]
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class SxCPSeedControl:
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SEED_AXES = (
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"category",
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"subcategory",
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"content",
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"person",
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"scene",
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"pose",
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"role",
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"expression",
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"composition",
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)
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@classmethod
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def INPUT_TYPES(cls):
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seed_spec = {"default": -1, "min": -1, "max": 0xFFFFFFFF, "step": 1}
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required = {}
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for axis in cls.SEED_AXES:
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required[f"{axis}_seed_mode"] = (seed_mode_choices(), {"default": "auto"})
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required[f"{axis}_seed"] = ("INT", seed_spec)
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return {"required": required}
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RETURN_TYPES = (SXCP_SEED_CONFIG, "STRING")
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RETURN_NAMES = ("seed_config", "summary")
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FUNCTION = "build"
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CATEGORY = "prompt_builder"
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@classmethod
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def IS_CHANGED(cls, *args, **kwargs):
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values = list(args) + list(kwargs.values())
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if "random" in values:
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return random.random()
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return tuple(args), tuple(sorted(kwargs.items()))
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@classmethod
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def _summary(cls, config_json):
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try:
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config = json.loads(config_json)
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except (TypeError, ValueError, json.JSONDecodeError):
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return "invalid seed config"
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parts = []
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for axis in cls.SEED_AXES:
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try:
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value = int(config.get(f"{axis}_seed", -1))
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except (TypeError, ValueError):
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value = -1
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parts.append(f"{axis}={'follow_main' if value < 0 else value}")
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return "resolved seeds: " + "; ".join(parts)
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def build(
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self,
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category_seed_mode,
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category_seed,
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subcategory_seed_mode,
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subcategory_seed,
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content_seed_mode,
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content_seed,
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person_seed_mode,
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person_seed,
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scene_seed_mode,
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scene_seed,
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pose_seed_mode,
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pose_seed,
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role_seed_mode,
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role_seed,
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expression_seed_mode,
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expression_seed,
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composition_seed_mode,
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composition_seed,
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):
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config = build_seed_config_json(
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category_seed=category_seed,
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subcategory_seed=subcategory_seed,
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content_seed=content_seed,
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person_seed=person_seed,
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scene_seed=scene_seed,
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pose_seed=pose_seed,
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role_seed=role_seed,
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expression_seed=expression_seed,
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composition_seed=composition_seed,
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category_seed_mode=category_seed_mode,
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subcategory_seed_mode=subcategory_seed_mode,
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content_seed_mode=content_seed_mode,
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person_seed_mode=person_seed_mode,
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scene_seed_mode=scene_seed_mode,
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pose_seed_mode=pose_seed_mode,
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role_seed_mode=role_seed_mode,
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expression_seed_mode=expression_seed_mode,
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composition_seed_mode=composition_seed_mode,
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)
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return (
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config,
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self._summary(config),
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)
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class SxCPGlobalSeed:
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@classmethod
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def INPUT_TYPES(cls):
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seed_spec = {"default": 20260614, "min": 0, "max": 0xFFFFFFFF, "step": 1}
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return {
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"required": {
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"global_seed": ("INT", seed_spec),
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}
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}
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RETURN_TYPES = ("INT", SXCP_SEED_CONFIG, "STRING")
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RETURN_NAMES = ("seed", "seed_config", "summary")
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FUNCTION = "build"
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CATEGORY = "prompt_builder"
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def build(self, global_seed):
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seed = max(0, min(0xFFFFFFFF, int(global_seed)))
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config = build_seed_lock_config_json(base_seed=seed, reroll_axis="none", reroll_seed=-1)
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return seed, config, f"global seed {seed}; all axes locked"
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class SxCPSeedLocker:
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@classmethod
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def INPUT_TYPES(cls):
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seed_spec = {"default": 20260614, "min": 0, "max": 0xFFFFFFFF, "step": 1}
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reroll_seed_spec = {"default": -1, "min": -1, "max": 0xFFFFFFFF, "step": 1}
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return {
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"required": {
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"base_seed": ("INT", seed_spec),
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"reroll_axis": (
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seed_reroll_axis_choices(),
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{"default": "none"},
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),
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"reroll_seed": ("INT", reroll_seed_spec),
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}
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}
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RETURN_TYPES = (SXCP_SEED_CONFIG, "STRING")
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RETURN_NAMES = ("seed_config", "summary")
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FUNCTION = "build"
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CATEGORY = "prompt_builder"
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def build(self, base_seed, reroll_axis, reroll_seed):
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normalized_axis = normalize_reroll_axis(reroll_axis)
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config = build_seed_lock_config_json(base_seed=base_seed, reroll_axis=normalized_axis, reroll_seed=reroll_seed)
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summary = f"base {base_seed}; reroll {normalized_axis} with {'main seed' if int(reroll_seed) < 0 else reroll_seed}"
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return config, summary
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class SxCPSDXLBucketSize:
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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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"orientation": (["any", "portrait", "square", "landscape"], {"default": "any"}),
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"seed": ("INT", {"default": -1, "min": -1, "max": 0xFFFFFFFF, "step": 1}),
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"row_number": ("INT", {"default": 1, "min": 1, "max": 1000000, "step": 1}),
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"bucket_index": ("INT", {"default": 0, "min": 0, "max": len(SDXL_BUCKET_RESOLUTIONS), "step": 1}),
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},
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"optional": {
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"seed_config": (SXCP_SEED_CONFIG,),
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},
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}
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RETURN_TYPES = ("INT", "INT", "STRING", "STRING", "FLOAT", "FLOAT", "INT", "STRING")
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RETURN_NAMES = ("width", "height", "resolution", "orientation", "aspect", "megapixels", "bucket_index", "summary")
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FUNCTION = "build"
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CATEGORY = "prompt_builder/util"
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@staticmethod
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def _configured_bucket_seed(seed_config):
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return configured_seed_from_axes(
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seed_config,
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("composition", "content"),
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extra_keys=("seed", "global_seed"),
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)
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@classmethod
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def IS_CHANGED(cls, *args, **kwargs):
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seed_value = kwargs.get("seed")
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if seed_value is None and len(args) > 1:
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seed_value = args[1]
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bucket_index = kwargs.get("bucket_index")
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if bucket_index is None and len(args) > 3:
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bucket_index = args[3]
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seed_config = kwargs.get("seed_config", "")
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if not seed_config and len(args) > 4:
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seed_config = args[4]
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try:
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seed = int(seed_value)
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except (TypeError, ValueError):
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seed = -1
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try:
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index = int(bucket_index)
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except (TypeError, ValueError):
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index = 0
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if index <= 0 and seed < 0 and cls._configured_bucket_seed(seed_config) is None:
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return random.random()
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return tuple(args), tuple(sorted(kwargs.items()))
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def build(self, orientation, seed, row_number, bucket_index, seed_config=""):
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orientation = str(orientation or "any").strip().lower()
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pool = [
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(index + 1, bucket)
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for index, bucket in enumerate(SDXL_BUCKET_RESOLUTIONS)
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if orientation == "any" or bucket["orientation"] == orientation
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]
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if not pool:
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pool = list(enumerate(SDXL_BUCKET_RESOLUTIONS, start=1))
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if int(bucket_index) > 0:
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pool_position = max(1, min(len(pool), int(bucket_index))) - 1
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else:
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configured_seed = self._configured_bucket_seed(seed_config)
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if configured_seed is None and int(seed) < 0:
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rng = random.Random(random.getrandbits(64))
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else:
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bucket_seed = configured_seed if configured_seed is not None else int(seed)
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rng = random.Random(f"sdxl_bucket:{bucket_seed}:{int(row_number)}:{orientation}")
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pool_position = rng.randrange(len(pool))
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selected_index, selected = pool[pool_position]
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width = int(selected["width"])
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height = int(selected["height"])
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selected_orientation = str(selected["orientation"])
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aspect = float(selected["aspect"])
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mp = float(selected["mp"])
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resolution = f"{width}x{height}"
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summary = (
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f"{selected_orientation} bucket {pool_position + 1}/{len(pool)} "
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f"(table {selected_index}): {resolution}, aspect {aspect:.2f}, {mp:.2f} MP"
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)
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return width, height, resolution, selected_orientation, aspect, mp, selected_index, summary
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class SxCPKrea2ResolutionSelector:
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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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"megapixels": (KREA2_MEGAPIXEL_PRESETS, {"default": "1.0MP"}),
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"aspect_ratio": (KREA2_ASPECT_RATIOS, {"default": "1:1"}),
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},
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}
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RETURN_TYPES = ("INT", "INT", "STRING", "STRING", "STRING", "STRING", "FLOAT", "FLOAT", "STRING", "STRING", "STRING")
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RETURN_NAMES = (
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"width",
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"height",
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"resolution",
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"aspect_ratio",
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"api_aspect_ratio",
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"api_resolution",
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"megapixels",
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"max_megapixels_for_aspect",
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"orientation",
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"summary",
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"config_json",
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)
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FUNCTION = "select"
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CATEGORY = "prompt_builder/util"
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@staticmethod
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def _aspect_value(aspect_ratio, custom_aspect_width, custom_aspect_height, rng):
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selected = str(aspect_ratio or "1:1").strip()
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if selected == "random_api":
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selected = rng.choice(KREA2_API_ASPECT_RATIOS)
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if selected == "custom":
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width = max(0.1, float(custom_aspect_width))
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height = max(0.1, float(custom_aspect_height))
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return selected, width / height
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try:
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left, right = selected.split(":", 1)
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return selected, max(0.01, float(left) / float(right))
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except (TypeError, ValueError):
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return "1:1", 1.0
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@staticmethod
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def _closest_api_aspect(ratio):
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def parse(value):
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left, right = value.split(":", 1)
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return float(left) / float(right)
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return min(KREA2_API_ASPECT_RATIOS, key=lambda item: abs(math.log(parse(item) / max(0.01, ratio))))
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@staticmethod
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def _continuous_limit_mp(ratio, max_long_edge, max_megapixels):
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ratio = max(0.01, float(ratio))
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max_long = max(16.0, float(max_long_edge))
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if ratio >= 1.0:
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exact_width = max_long
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exact_height = max_long / ratio
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else:
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exact_width = max_long * ratio
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exact_height = max_long
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exact_mp = (exact_width * exact_height) / 1_000_000.0
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return max(0.01, min(float(max_megapixels), exact_mp))
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@staticmethod
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def _nearby_multiples(value, multiple):
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scaled = float(value) / float(multiple)
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values = {
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int(math.floor(scaled)) * multiple,
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int(round(scaled)) * multiple,
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int(math.ceil(scaled)) * multiple,
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}
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return {int(v) for v in values if int(v) > 0}
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@classmethod
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def _candidate_sizes(cls, ratio, max_long_edge, max_megapixels, multiple):
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max_long = max(multiple, int(max_long_edge) // multiple * multiple)
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max_pixels = float(max_megapixels) * 1_000_000.0
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candidates = set()
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for width in range(multiple, max_long + 1, multiple):
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for height in cls._nearby_multiples(float(width) / ratio, multiple):
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candidates.add((width, height))
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for height in range(multiple, max_long + 1, multiple):
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for width in cls._nearby_multiples(float(height) * ratio, multiple):
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candidates.add((width, height))
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valid = []
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for width, height in candidates:
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if width < multiple or height < multiple:
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continue
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if max(width, height) > max_long:
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continue
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if width * height > max_pixels + 1:
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continue
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valid.append((width, height))
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return valid
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@classmethod
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def _best_size(cls, ratio, target_megapixels, max_long_edge, max_megapixels, multiple):
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candidates = cls._candidate_sizes(ratio, max_long_edge, max_megapixels, multiple)
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if not candidates:
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fallback = max(multiple, int(max_long_edge) // multiple * multiple)
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return fallback, fallback, (fallback * fallback) / 1_000_000.0, 1.0
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target = max((multiple * multiple) / 1_000_000.0, float(target_megapixels))
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best = None
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best_score = None
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for width, height in candidates:
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actual_mp = (width * height) / 1_000_000.0
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actual_ratio = float(width) / float(height)
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ratio_error = abs(math.log(actual_ratio / max(0.01, ratio)))
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mp_error = abs(actual_mp - target) / max(target, 0.01)
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score = ratio_error * 4.0 + mp_error
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if best_score is None or score < best_score:
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best = (width, height, actual_mp, actual_ratio)
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best_score = score
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return best
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@staticmethod
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def _profile_limits(profile, custom_max_long_edge, custom_max_megapixels):
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profile = str(profile or "turbo_local_2k").strip()
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if profile == "raw_local_1k":
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return 1024, 1.05, "Krea2 RAW local explicit size, up to 1K"
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if profile == "api_hosted_1k":
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return 1024, 1.05, "Krea hosted API fields, 1K only"
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if profile == "custom_limit":
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return max(256, int(custom_max_long_edge)), max(0.10, float(custom_max_megapixels)), "custom explicit size limit"
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return 2048, 4.20, "Krea2 Turbo local explicit size, up to 2K"
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@staticmethod
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def _preset_megapixels(megapixel_preset):
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value = str(megapixel_preset or "1.0MP").strip()
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if value.endswith("MP"):
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try:
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return float(value[:-2])
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except ValueError:
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return 1.0
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return None
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def select(self, megapixels, aspect_ratio):
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multiple = 16
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profile = "turbo_local_2k"
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max_long_edge, max_profile_mp, _profile_label = self._profile_limits(profile, 2048, 4.20)
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resolved_aspect, ratio = self._aspect_value(aspect_ratio, 1.0, 1.0, random.Random("krea2_resolution"))
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api_aspect_ratio = resolved_aspect if resolved_aspect in KREA2_API_ASPECT_RATIOS else self._closest_api_aspect(ratio)
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continuous_max_mp = self._continuous_limit_mp(ratio, max_long_edge, max_profile_mp)
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max_width, max_height, max_actual_mp, max_actual_ratio = self._best_size(
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ratio, continuous_max_mp, max_long_edge, max_profile_mp, multiple
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)
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preset = str(megapixels or "1.0MP").strip()
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target_mp = self._preset_megapixels(preset)
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if preset == "max_for_aspect":
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target_mp = max_actual_mp
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if target_mp is None:
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target_mp = 1.0
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clamped = target_mp > max_actual_mp + 0.001
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effective_target_mp = min(float(target_mp), max_actual_mp)
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width, height, actual_mp, actual_ratio = self._best_size(
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ratio, effective_target_mp, max_long_edge, max_profile_mp, multiple
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)
|
|
orientation = "square"
|
|
if width > height:
|
|
orientation = "landscape"
|
|
elif height > width:
|
|
orientation = "portrait"
|
|
|
|
resolution = f"{width}x{height}"
|
|
api_resolution = "1K"
|
|
summary_parts = [
|
|
f"{resolution}",
|
|
f"{actual_mp:.2f} MP",
|
|
f"aspect {resolved_aspect} ({actual_ratio:.3f})",
|
|
f"max for aspect {max_width}x{max_height} / {max_actual_mp:.2f} MP",
|
|
"Krea2 Turbo 2K",
|
|
f"API equivalent {api_aspect_ratio} {api_resolution}",
|
|
]
|
|
if clamped:
|
|
summary_parts.append(f"target {target_mp:.2f} MP clamped to aspect/profile limit")
|
|
summary = "; ".join(summary_parts)
|
|
|
|
config = {
|
|
"profile": profile,
|
|
"width": width,
|
|
"height": height,
|
|
"resolution": resolution,
|
|
"aspect_ratio": resolved_aspect,
|
|
"aspect_ratio_value": actual_ratio,
|
|
"target_megapixels": round(float(target_mp), 4),
|
|
"megapixels": round(actual_mp, 4),
|
|
"max_width_for_aspect": max_width,
|
|
"max_height_for_aspect": max_height,
|
|
"max_megapixels_for_aspect": round(max_actual_mp, 4),
|
|
"api_aspect_ratio": api_aspect_ratio,
|
|
"api_resolution": api_resolution,
|
|
"orientation": orientation,
|
|
"round_to": multiple,
|
|
"clamped": clamped,
|
|
}
|
|
return (
|
|
width,
|
|
height,
|
|
resolution,
|
|
resolved_aspect,
|
|
api_aspect_ratio,
|
|
api_resolution,
|
|
round(actual_mp, 4),
|
|
round(max_actual_mp, 4),
|
|
orientation,
|
|
summary,
|
|
json.dumps(config, ensure_ascii=True, sort_keys=True),
|
|
)
|
|
|
|
|
|
NODE_CLASS_MAPPINGS = {
|
|
"SxCPGlobalSeed": SxCPGlobalSeed,
|
|
"SxCPSeedControl": SxCPSeedControl,
|
|
"SxCPSeedLocker": SxCPSeedLocker,
|
|
"SxCPSDXLBucketSize": SxCPSDXLBucketSize,
|
|
"SxCPKrea2ResolutionSelector": SxCPKrea2ResolutionSelector,
|
|
}
|
|
|
|
NODE_DISPLAY_NAME_MAPPINGS = {
|
|
"SxCPGlobalSeed": "SxCP Global Seed",
|
|
"SxCPSeedControl": "SxCP Seed Control",
|
|
"SxCPSeedLocker": "SxCP Seed Locker",
|
|
"SxCPSDXLBucketSize": "SxCP SDXL Bucket Size",
|
|
"SxCPKrea2ResolutionSelector": "SxCP Krea2 Resolution Selector",
|
|
}
|