github/InvokeAI
1
1
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI.git synced 2026-04-23 03:00:31 -04:00
Code Issues Packages Projects Releases Wiki Activity

chore: make ruff

Browse Source
This commit is contained in:
dunkeroni
2024-10-25 23:43:33 -04:00
committed by psychedelicious
parent 58152ec981
commit 47168b5505
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
invokeai/app/invocations/denoise_latents.py
View File

@@ -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