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Artificial-Sweetener-Simple…/simple_syrup/services/tiled_diffusion_item_sampling_service.py
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# SimpleSyrup - workflow-focused ComfyUI extensions for image generation
# Copyright (C) 2026 Artificial Sweetener and contributors
# SPDX-License-Identifier: AGPL-3.0-or-later
"""Select one tiled diffusion runtime for one latent sampling request."""
from __future__ import annotations
from typing import Any, Protocol, TypeAlias
from ..domain.regional_features import RegionalCapabilityAdmission
from ..domain.tiled_diffusion import TiledDiffusionPlan
from ..runtime import mixture_of_diffusers_sampling, multidiffusion_sampling
from ..runtime.detail_previews import DetailPreviewContext
Latent: TypeAlias = dict[str, Any]
class TiledDiffusionItemSampler(Protocol):
"""Sample one latent item through a supplied tiled diffusion plan."""
def __call__(
self,
*,
diffusion_mode: str,
model: Any,
seed: int,
steps: int,
cfg: float,
sampler_name: str,
scheduler: str,
positive: Any,
negative: Any,
latent_image: Latent,
denoise: float,
latent_tile_width: int,
latent_tile_height: int,
latent_tile_overlap: int,
latent_tile_batch_size: int,
preview_context: DetailPreviewContext | None,
differential_diffusion: bool,
capability_admission: RegionalCapabilityAdmission,
tiled_plan: TiledDiffusionPlan | None = None,
) -> Latent:
"""Return one sampled latent item."""
class TiledDiffusionItemSamplingService:
"""Route one latent and optional tile plan to the selected runtime."""
def sample(
self,
*,
diffusion_mode: str,
model: Any,
seed: int,
steps: int,
cfg: float,
sampler_name: str,
scheduler: str,
positive: Any,
negative: Any,
latent_image: Latent,
denoise: float,
latent_tile_width: int,
latent_tile_height: int,
latent_tile_overlap: int,
latent_tile_batch_size: int,
preview_context: DetailPreviewContext | None,
differential_diffusion: bool,
capability_admission: RegionalCapabilityAdmission,
tiled_plan: TiledDiffusionPlan | None = None,
) -> Latent:
"""Invoke exactly one runtime with the unchanged sampling request."""
sampler = (
multidiffusion_sampling.sample_multidiffusion
if diffusion_mode == "multidiffusion"
else mixture_of_diffusers_sampling.sample_mixture_of_diffusers
)
return sampler(
model=model,
seed=seed,
steps=steps,
cfg=cfg,
sampler_name=sampler_name,
scheduler=scheduler,
positive=positive,
negative=negative,
latent_image=latent_image,
denoise=denoise,
latent_tile_width=latent_tile_width,
latent_tile_height=latent_tile_height,
latent_tile_overlap=latent_tile_overlap,
latent_tile_batch_size=latent_tile_batch_size,
preview_context=preview_context,
differential_diffusion=differential_diffusion,
capability_admission=capability_admission,
tiled_plan=tiled_plan,
)