How I solved the ksampler error with sticker workflow
created 9 hours ago
img2img
face
lora
controlnet
upscale
47 nodes
85
4
Outputs

Description
i kept getting an error that said Given groups=1, weight of size [16, 3, 3, 3], expected input[1, 4, 1024, 1024] to have 3 channels, but got 4 channels instead.
I attached a VAE decode box to the "latent" pink circle in the "KSampler (Efficient)" box under the blue header that says Ksampler-2, and attached "save image" to that VAE decode box.
Then I added a "load vae" box and connected it to the red VAE circle within the KSampler (Efficient) box under the blue header that said Ksampler-1. And I made sure all VAE red icons were connected to something because some didnt even have a connection.
Built-in nodes
Custom nodes
PulidEvaClipLoader
InstantIDFaceAnalysis
SimpleText
LLavaSamplerSimple
LLava Loader Simple
Concat Text _O
PulidInsightFaceLoader
PreviewImage
SDXLPromptStyler
LlavaClipLoader
ShowText|pysssss
ttN text
ConcatStringSingle
easy loraStack
CLIPTextEncode
ApplyInstantID
CR Apply LoRA Stack
Seed Everywhere
ApplyPulid
BRIA_RMBG_Zho
BRIA_RMBG_ModelLoader_Zho
InstantIDModelLoader
CheckpointLoaderSimple
FreeU_V2
StyleAlignedBatchAlign
PulidModelLoader
ControlNetLoader
LoadImage
EmptyLatentImage
VAEDecode
SaveImage
KSampler (Efficient)
LatentUpscale
VAELoader