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refactor to unify latent, resize and model based upscalers

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2025-01-18 11:49:43 -05:00
parent facfe2be6b
commit ae9b40c688
17 changed files with 223 additions and 169 deletions
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modules/processing_diffusers.py
+1 -2
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@@ -178,9 +178,8 @@ def process_hires(p: processing.StableDiffusionProcessing, output):
output.images = resize_hires(p, latents=output.images) if output is not None else []
sd_hijack_hypertile.hypertile_set(p, hr=True)
latent_upscale = shared.latent_upscale_modes.get(p.hr_upscaler, None)
strength = p.hr_denoising_strength if p.hr_denoising_strength > 0 else p.denoising_strength
if (latent_upscale is not None or p.hr_force) and strength > 0:
if (p.hr_upscaler.lower().startswith('latent') or p.hr_force) and strength > 0:
p.ops.append('hires')
sd_models_compile.openvino_recompile_model(p, hires=True, refiner=False)
if shared.sd_model.__class__.__name__ == "OnnxRawPipeline":