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fix(api): assign sd_model after settings change
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@@ -50,9 +50,9 @@ def apply_color_correction(correction, original_image):
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correction,
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channel_axis=2
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), cv2.COLOR_LAB2RGB).astype("uint8"))
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image = blendLayers(image, original_image, BlendType.LUMINOSITY)
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return image
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@@ -466,6 +466,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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if k == 'sd_model_checkpoint': sd_models.reload_model_weights() # make onchange call for changing SD model
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if k == 'sd_vae': sd_vae.reload_vae_weights() # make onchange call for changing VAE
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# Assign sd_model here to ensure that it reflects the model after any changes
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p.sd_model = shared.sd_model
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res = process_images_inner(p)
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finally:
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