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add sa solver and prototype instaflow

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Vladimir Mandic
2024-01-31 09:51:34 -05:00
parent b1ccadf793
commit 09d1f1e788
12 changed files with 108 additions and 86 deletions
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modules/processing_diffusers.py
+3 -3
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@@ -442,7 +442,7 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
else:
steps = p.steps
debug_steps(f'Steps: type=base input={p.steps} output={steps} task={sd_models.get_diffusers_task(shared.sd_model)} refiner={use_refiner_start} denoise={p.denoising_strength} model={shared.sd_model_type}')
return max(2, int(steps))
return max(1, int(steps))
def calculate_hires_steps():
if p.hr_second_pass_steps > 0:
@@ -452,7 +452,7 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
else:
steps = 0
debug_steps(f'Steps: type=hires input={p.hr_second_pass_steps} output={steps} denoise={p.denoising_strength} model={shared.sd_model_type}')
return max(2, int(steps))
return max(1, int(steps))
def calculate_refiner_steps():
if "StableDiffusionXL" in shared.sd_refiner.__class__.__name__:
@@ -467,7 +467,7 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
#steps = p.refiner_steps # SD 1.5 with denoise strenght
steps = (p.refiner_steps * 1.25) + 1
debug_steps(f'Steps: type=refiner input={p.refiner_steps} output={steps} start={p.refiner_start} denoise={p.denoising_strength}')
return max(2, int(steps))
return max(1, int(steps))
shared.sd_model = update_pipeline(shared.sd_model, p)
base_args = set_pipeline_args(