When no CUDA/ROCm/XPU GPU is available, route diffusion load/generate to the native stable-diffusion.cpp engine instead of diffusers, with diffusers as the guaranteed fallback. On CPU sd.cpp is 1.4-2.8x faster and uses 1.5-2.2x less RAM. - diffusion_engine_router: centralised engine selection (built on the existing select_diffusion_engine), env opt-outs, MPS gating, recorded fallback reason. - sd_cpp_backend (SdCppDiffusionBackend): the diffusers backend method surface backed by sd-cli, with lazy binary install, registry-driven asset fetch, step-progress parsing, and cancellation. - diffusion_families: per-family single-file VAE + text-encoder asset mapping. - sd_cpp_engine: cancellation support (process-group kill + SdCppCancelled). - routes/inference + gpu_arbiter: drive the active engine via the router; the API now reports the active engine and any fallback reason. - tests for the backend, router, route selection, and cancellation.
136 lines
4.9 KiB
Python
136 lines
4.9 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
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"""Tests for the diffusion engine router (diffusers vs native sd.cpp selection)."""
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from __future__ import annotations
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from types import SimpleNamespace
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import pytest
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from core.inference import diffusion_engine_router as r
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from core.inference.diffusion_families import detect_family
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from core.inference.sd_cpp_engine import ENGINE_DIFFUSERS, ENGINE_SD_CPP
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_ENVS = (
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"UNSLOTH_DIFFUSION_ENGINE",
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"UNSLOTH_DIFFUSION_SD_CPP",
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"UNSLOTH_DIFFUSION_SD_CPP_MPS",
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"UNSLOTH_DIFFUSION_SD_CPP_INSTALL",
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)
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@pytest.fixture(autouse = True)
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def _clean_env_and_state(monkeypatch):
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for e in _ENVS:
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monkeypatch.delenv(e, raising = False)
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# A light status-capable stub so neither selection nor active_status() imports the
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# heavy diffusers/sd.cpp backends; the active engine NAME comes from module state.
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monkeypatch.setattr(
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r, "get_active_diffusion_engine",
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lambda: SimpleNamespace(status = lambda: {"loaded": False, "repo_id": None}),
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)
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yield
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def _set_device(monkeypatch, backend):
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monkeypatch.setattr(
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r, "resolve_diffusion_device_target",
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lambda: SimpleNamespace(backend = backend, device = backend),
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)
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def _set_binary(monkeypatch, path):
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monkeypatch.setattr(r, "ensure_sd_cpp_binary", lambda **_: path)
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def _select(fam_name = "z-image"):
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"""Activate the engine for a family and return which engine was chosen."""
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r.select_and_activate_engine(detect_family(fam_name))
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return r.active_engine_name()
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# ── core selection matrix ─────────────────────────────────────────────────────
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def test_cpu_with_binary_and_supported_family_picks_sd_cpp(monkeypatch):
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_set_device(monkeypatch, "cpu")
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_set_binary(monkeypatch, "/usr/bin/sd-cli")
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assert _select() == ENGINE_SD_CPP
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assert r.active_engine_name() == ENGINE_SD_CPP
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@pytest.mark.parametrize("gpu", ["cuda", "rocm", "xpu"])
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def test_gpu_backends_use_diffusers(monkeypatch, gpu):
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_set_device(monkeypatch, gpu)
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_set_binary(monkeypatch, "/usr/bin/sd-cli") # even with a binary, GPU stays diffusers
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assert _select() == ENGINE_DIFFUSERS
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assert "uses diffusers" in (r.active_status()["fallback_reason"] or "")
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def test_forced_diffusers_overrides_cpu(monkeypatch):
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_set_device(monkeypatch, "cpu")
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_set_binary(monkeypatch, "/usr/bin/sd-cli")
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monkeypatch.setenv("UNSLOTH_DIFFUSION_ENGINE", "diffusers")
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assert _select() == ENGINE_DIFFUSERS
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assert "forced" in (r.active_status()["fallback_reason"] or "")
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def test_sd_cpp_disabled_uses_diffusers(monkeypatch):
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_set_device(monkeypatch, "cpu")
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_set_binary(monkeypatch, "/usr/bin/sd-cli")
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monkeypatch.setenv("UNSLOTH_DIFFUSION_SD_CPP", "0")
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assert _select() == ENGINE_DIFFUSERS
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assert "disabled" in (r.active_status()["fallback_reason"] or "")
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def test_mps_default_diffusers_but_optin_sd_cpp(monkeypatch):
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_set_device(monkeypatch, "mps")
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_set_binary(monkeypatch, "/usr/bin/sd-cli")
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# Default: MPS is not native-eligible -> diffusers.
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assert _select() == ENGINE_DIFFUSERS
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# Opt in: MPS routes to sd.cpp.
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monkeypatch.setenv("UNSLOTH_DIFFUSION_SD_CPP_MPS", "1")
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assert _select() == ENGINE_SD_CPP
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def test_unsupported_family_falls_back(monkeypatch):
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_set_device(monkeypatch, "cpu")
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_set_binary(monkeypatch, "/usr/bin/sd-cli")
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monkeypatch.setattr(r, "family_sd_cpp_supported", lambda fam: False)
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assert _select() == ENGINE_DIFFUSERS
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assert "no native sd.cpp asset mapping" in (r.active_status()["fallback_reason"] or "")
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def test_missing_binary_falls_back(monkeypatch):
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_set_device(monkeypatch, "cpu")
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_set_binary(monkeypatch, None) # install unavailable
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assert _select() == ENGINE_DIFFUSERS
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assert "binary unavailable" in (r.active_status()["fallback_reason"] or "")
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def test_force_sd_cpp_on_gpu_when_binary_present(monkeypatch):
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_set_device(monkeypatch, "cuda")
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_set_binary(monkeypatch, "/usr/bin/sd-cli")
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monkeypatch.setenv("UNSLOTH_DIFFUSION_ENGINE", "sd_cpp")
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assert _select() == ENGINE_SD_CPP
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def test_force_sd_cpp_without_binary_falls_back(monkeypatch):
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_set_device(monkeypatch, "cuda")
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_set_binary(monkeypatch, None)
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monkeypatch.setenv("UNSLOTH_DIFFUSION_ENGINE", "sd_cpp")
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assert _select() == ENGINE_DIFFUSERS
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# ── active_status annotation ──────────────────────────────────────────────────
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def test_active_status_injects_engine_and_reason(monkeypatch):
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_set_device(monkeypatch, "cpu")
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_set_binary(monkeypatch, None)
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_select() # -> diffusers fallback (no binary)
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st = r.active_status()
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assert st["engine"] == ENGINE_DIFFUSERS
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assert st["fallback_reason"] and "binary unavailable" in st["fallback_reason"]
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