From f245d8e429471f1197a35710a0a49c4d982130e2 Mon Sep 17 00:00:00 2001 From: dunkeroni Date: Fri, 25 Oct 2024 23:43:33 -0400 Subject: [PATCH] chore: make ruff --- invokeai/app/invocations/denoise_latents.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/invokeai/app/invocations/denoise_latents.py b/invokeai/app/invocations/denoise_latents.py index 7d5c86d1b2..e52510f143 100644 --- a/invokeai/app/invocations/denoise_latents.py +++ b/invokeai/app/invocations/denoise_latents.py @@ -522,7 +522,7 @@ class DenoiseLatentsInvocation(BaseInvocation): for t2i_adapter_field in t2i_adapters: image = context.images.get_pil(t2i_adapter_field.image.image_name) - if bgr_mode:#SDXL t2i trained on cv2's BGR outputs, but PIL won't convert straight to BGR + if bgr_mode: # SDXL t2i trained on cv2's BGR outputs, but PIL won't convert straight to BGR r, g, b = image.split() image = Image.merge("RGB", (b, g, r)) ext_manager.add_extension( @@ -623,7 +623,7 @@ class DenoiseLatentsInvocation(BaseInvocation): t2i_adapter_model_config = context.models.get_config(t2i_adapter_field.t2i_adapter_model.key) t2i_adapter_loaded_model = context.models.load(t2i_adapter_field.t2i_adapter_model) image = context.images.get_pil(t2i_adapter_field.image.image_name) - + # The max_unet_downscale is the maximum amount that the UNet model downscales the latent image internally. if t2i_adapter_model_config.base == BaseModelType.StableDiffusion1: max_unet_downscale = 8