Files
ComfyUI-Ethanfel-Prompt-Bui…/node_seed_resolution.py
T

525 lines
19 KiB
Python

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