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IPAdapter Plus SDXL in ComfyUI

Image prompt adapter that transfers character identity, composition, or painting style from reference photos without training a LoRA. Requires Adds ~1.2 GB with CLIP Vision ViT-H VRAM and loads from models/ipadapter/.

Updated Oct 17, 2026 · 1 min read

At a glanceEntity
Model Family
cubiq / Tencent
VRAM Target
Adds ~1.2 GB with CLIP Vision ViT-H
ComfyUI Folder
models/ipadapter/
Precision
FP16 safetensors
Default Sampler
Matches base sampler, weight 0.70, linear or style transfer

Where to place IPAdapter Plus SDXL weights on Windows

Image prompt adapter that transfers character identity, composition, or painting style from reference photos without training a LoRA.

Place the primary `.safetensors` or `.gguf` weight file inside `models/ipadapter/` inside your ComfyUI directory, or point extra_model_paths.yaml to your existing shared models drive.

After moving the file, press **R** on the ComfyUI Studio canvas (or click Refresh) so the loader dropdown lists the new checkpoint immediately without restarting the server.

IPAdapter Plus SDXL Quick Reference for ComfyUI Windows

IPAdapter Plus SDXL Quick Reference for ComfyUI Windows
ParameterRecommended SettingNotes
Target Directorymodels/ipadapter/Refresh canvas with R key after copying
VRAM TierAdds ~1.2 GB with CLIP Vision ViT-HUse --lowvram or GGUF Q4 on 8 GB cards
Weight FormatFP16 safetensorsNever load untrusted .ckpt pickle files
Sampler RecipeMatches base sampler, weight 0.70, linear or style transferWire through core KSampler node

FAQs

Which folder does IPAdapter Plus SDXL go into in ComfyUI?

Put IPAdapter Plus SDXL inside `models/ipadapter/` in your ComfyUI installation, then press R on the canvas to refresh node dropdowns.

Can I run IPAdapter Plus SDXL on an 8 GB NVIDIA GPU?

Yes — use FP8 or GGUF Q4/Q5 weights via ComfyUI-GGUF and keep tiled VAE decoding enabled so peak VRAM stays under 8 GB.

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