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fix: turbo scheduler loading issue (#3065)

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* fix: correctly load ModelPatcher

* feat: do not load model at all, not needed
This commit is contained in:
Manuel Schmid
2024-05-31 22:24:19 +02:00
committed by GitHub
parent 3ef663c5b7
commit 7899261755
2 changed files with 2 additions and 3 deletions
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modules/sample_hijack.py
+1 -1
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@@ -175,7 +175,7 @@ def calculate_sigmas_scheduler_hacked(model, scheduler_name, steps):
elif scheduler_name == "sgm_uniform":
sigmas = normal_scheduler(model, steps, sgm=True)
elif scheduler_name == "turbo":
sigmas = SDTurboScheduler().get_sigmas(namedtuple('Patcher', ['model'])(model=model), steps=steps, denoise=1.0)[0]
sigmas = SDTurboScheduler().get_sigmas(model=model, steps=steps, denoise=1.0)[0]
elif scheduler_name == "align_your_steps":
model_type = 'SDXL' if isinstance(model.latent_format, ldm_patched.modules.latent_formats.SDXL) else 'SD1'
sigmas = AlignYourStepsScheduler().get_sigmas(model_type=model_type, steps=steps, denoise=1.0)[0]