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https://github.com/vladmandic/automatic
synced 2026-09-19 09:14:35 +02:00
lora: keep parsed network data through pipeline
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
+6
-6
@@ -301,14 +301,14 @@ def dlss(p: processing.StableDiffusionProcessing | None, pp: processing.Processe
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t0 = time.time()
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if p:
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p.extra_generation_params["DLSSSuperSample"] = True
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log.debug(f'DLSS: method=SuperSample quality="{ss_vsr_quality}" mode="{ss_size_mode}" scale={ss_scale_factor} width={ss_width} height={ss_height}')
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log.info(f'DLSS: method=SuperSample quality="{ss_vsr_quality}" mode="{ss_size_mode}" scale={ss_scale_factor} width={ss_width} height={ss_height}')
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if ss_append:
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originals.extend(current_images)
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output = supersample(pkg_path, current_images, ss_vsr_quality, ss_size_mode, ss_scale_factor, ss_width, ss_height)
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if debug:
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log.trace(f'DLSS: method=SuperSample images={len(output) if output else 0} time={time.time() - t0:.3f}')
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if output:
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images.extend(output)
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images = output
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current_images = output
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t.ts('supersample', t0)
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@@ -318,14 +318,14 @@ def dlss(p: processing.StableDiffusionProcessing | None, pp: processing.Processe
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t0 = time.time()
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if p:
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p.extra_generation_params["DLSSNeuralRender"] = True
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log.debug(f'DLSS: method=NeuralRender style={nr_style} intensity={nr_intensity} tone={nr_local_tone} structure={nr_local_structure} skin={nr_skin_structure} scale={nr_upscaling_factor} preset={nr_preset} mask={nr_automatic_mask} model={nr_model_preset}')
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log.info(f'DLSS: method=NeuralRender style={nr_style} intensity={nr_intensity} tone={nr_local_tone} structure={nr_local_structure} skin={nr_skin_structure} scale={nr_upscaling_factor} preset={nr_preset} mask={nr_automatic_mask} model={nr_model_preset}')
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if nr_append:
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originals.extend(current_images)
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output = neuralrender(pkg_path, current_images, nr_style, nr_intensity, nr_local_tone, nr_local_structure, nr_skin_structure, nr_upscaling_factor, nr_preset, nr_automatic_mask, nr_model_preset)
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if debug:
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log.trace(f'DLSS: method=NeuralRender images={len(output) if output else 0} time={time.time() - t0:.3f}')
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if output:
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images.extend(output)
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images = output
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current_images = output
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t.ts('neuralrender', t0)
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@@ -333,12 +333,12 @@ def dlss(p: processing.StableDiffusionProcessing | None, pp: processing.Processe
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t0 = time.time()
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if p:
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p.extra_generation_params["DLSSFrameGen"] = True
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log.debug(f'DLSS: method=FrameGen source={fg_source_fps} target={fg_target_fps} engine={fg_engine}')
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log.info(f'DLSS: method=FrameGen source={fg_source_fps} target={fg_target_fps} engine={fg_engine}')
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output = framegen(pkg_path, current_images, fg_source_fps, fg_target_fps, fg_engine)
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if debug:
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log.trace(f'DLSS: method=FrameGen images={len(output) if output else 0} time={time.time() - t0:.3f}')
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if output:
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images.extend(output)
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images = output
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current_images = output
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t.ts('framegen', t0)
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