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https://github.com/invoke-ai/InvokeAI
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Merge branch 'main' into stalker-modular_freeu
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@ -76,12 +76,12 @@ class StableDiffusionBackend:
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both_noise_pred = self.run_unet(ctx, ext_manager, ConditioningMode.Both)
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ctx.negative_noise_pred, ctx.positive_noise_pred = both_noise_pred.chunk(2)
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# ext: override apply_cfg
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ctx.noise_pred = self.apply_cfg(ctx)
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# ext: override combine_noise_preds
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ctx.noise_pred = self.combine_noise_preds(ctx)
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# ext: cfg_rescale [modify_noise_prediction]
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# TODO: rename
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ext_manager.run_callback(ExtensionCallbackType.POST_APPLY_CFG, ctx)
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ext_manager.run_callback(ExtensionCallbackType.POST_COMBINE_NOISE_PREDS, ctx)
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# compute the previous noisy sample x_t -> x_t-1
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step_output = ctx.scheduler.step(ctx.noise_pred, ctx.timestep, ctx.latents, **ctx.inputs.scheduler_step_kwargs)
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@ -95,7 +95,7 @@ class StableDiffusionBackend:
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return step_output
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@staticmethod
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def apply_cfg(ctx: DenoiseContext) -> torch.Tensor:
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def combine_noise_preds(ctx: DenoiseContext) -> torch.Tensor:
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guidance_scale = ctx.inputs.conditioning_data.guidance_scale
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if isinstance(guidance_scale, list):
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guidance_scale = guidance_scale[ctx.step_index]
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