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IPAdapter (IP-Adapter Plus) node in ComfyUI

The IPAdapter nodes feed a reference picture into the model as an "image prompt", transferring style, composition or a face without describing them in words; IPAdapter Unified Loader plus IPAdapter Advanced are the usual pair.
Node pack: ComfyUI_IPAdapter_plus
Category: ControlNet and guidance

What IPAdapter (IP-Adapter Plus) does

IP-Adapter is an image-conditioning method: a CLIP Vision encoder reads a reference image and a small adapter injects that embedding into the attention layers of the diffusion model. The ComfyUI_IPAdapter_plus pack (by cubiq/matteo) wraps it in a few nodes. IPAdapter Unified Loader picks the right adapter and CLIP Vision model for your checkpoint by preset (LIGHT, STANDARD, PLUS, PLUS FACE, FULL FACE, VIT-G). IPAdapter Advanced applies it with weight, weight_type (linear, style transfer, composition, strong style transfer), start/end and an optional attention mask.
Typical uses: copy the style of a painting onto a new subject, keep a character consistent across renders, or transfer a composition. With weight_type "style transfer" and a mask you can restrict the influence to part of the image. FaceID variants add an InsightFace embedding for stronger identity; they need the insightface dependency.

Inputs

Name
Type
What it is
model
MODEL
From the checkpoint or LoRA loader.
ipadapter
IPADAPTER
From IPAdapter Unified Loader (or IPAdapter Model Loader).
image
IMAGE
The reference picture (square 224 crop is taken; use Prep Image for IPAdapter).
weight
FLOAT
0-1 typical; 0.7-0.8 for style, 0.5 for subtle influence.
weight_type
COMBO
linear, ease in/out, style transfer, composition, strong style transfer and more.
start_at / end_at
FLOAT
Sampling range where the adapter is active.
attn_mask
MASK
Optional; restricts the influence to a region.

Outputs

Name
Type
What it is
MODEL
MODEL
The patched model; connect it to KSampler.
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How to use IPAdapter (IP-Adapter Plus)

  1. Install ComfyUI_IPAdapter_plus from ComfyUI Manager and download the ipadapter and clip_vision files it lists (models/ipadapter, models/clip_vision).
  2. Add IPAdapter Unified Loader after Load Checkpoint, preset PLUS (high strength).
  3. Add IPAdapter Advanced; connect model, ipadapter and the reference IMAGE.
  4. Set weight 0.8, weight_type "style transfer" for style or "linear" for a general reference.
  5. Connect the MODEL output to KSampler and render with your prompt.

Settings and tips

  • Prep Image for IPAdapter crops and sharpens the reference to the 224 px square the encoder sees.
  • Several references: use IPAdapter Batch or the Encoder + Combine Embeds nodes.
  • Lower weight and end_at 0.7 when the prompt is ignored.
  • PLUS FACE and FaceID work on portraits; for body consistency use PLUS with a full-body reference.
  • Unified Loader needs exact file names (see the pack README) to auto-detect models.

Troubleshooting IPAdapter (IP-Adapter Plus)

ClipVision model not found / IPAdapter model not found

Why it happens
The Unified Loader looks for specific file names in models/clip_vision and models/ipadapter and did not find them.

How to fix it
Download the files named in the pack README (for example CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors and ip-adapter-plus_sdxl_vit-h.safetensors) and keep those exact names.

Error: insightface model is required for FaceID models

Why it happens
FaceID presets need the insightface Python package and the buffalo_l detector.

How to fix it
Install insightface and onnxruntime in the ComfyUI Python environment (prebuilt wheels on Windows), or use PLUS FACE instead.

The prompt is ignored, output is a copy of the reference

Why it happens
weight too high with the linear type.

How to fix it
Weight 0.5-0.7, end_at 0.6-0.8, or weight_type style transfer.

Error: Expected size 1280 but got 1024 (or similar)

Why it happens
The CLIP Vision model does not match the adapter (ViT-H adapters need the ViT-H encoder; VIT-G needs bigG).

How to fix it
Use the Unified Loader presets, or pair the files as listed in the README.

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Questions about IPAdapter (IP-Adapter Plus)

IP-Adapter or ControlNet?

ControlNet copies structure (edges, pose) exactly; IP-Adapter copies look and feel (style, identity, mood) loosely. They combine well.

Does it work with Flux?

Yes, with the XLabs or InstantX Flux IP-Adapter models and the Flux-specific loader nodes in the pack.

Can I use several references?

Yes: batch the images (Image Batch) or combine embeddings with IPAdapter Encoder and Combine Embeds.

Related nodes

Apply ControlNet
ComfyUI core
Apply ControlNet attaches a guide image and a loaded ControlNet to the positive and negative CONDITIONING with strength and start/end percentages, so the sampler follows edges, depth or pose from the guide.
Load Image
ComfyUI core
Load Image reads a picture from the ComfyUI input folder (or an upload) and outputs an IMAGE tensor plus a MASK taken from the alpha channel, the starting point for img2img, inpainting, ControlNet and IP-Adapter graphs.
Load Checkpoint
ComfyUI core
Load Checkpoint (CheckpointLoaderSimple) opens a .safetensors or .ckpt model file and hands out the three parts every workflow needs: the diffusion MODEL, the CLIP text encoder and the VAE.
KSampler
ComfyUI core
KSampler runs the denoising loop: it takes the model, prompts and a latent and produces the finished latent image, controlled by seed, steps, cfg, sampler, scheduler and denoise.
FaceDetailer (Impact Pack)
ComfyUI-Impact-Pack
FaceDetailer finds faces (or hands, eyes) with a YOLO detector, crops each one, re-renders it at full resolution with your model and prompt, and pastes it back, fixing the small, mushy faces in wide shots.
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More ComfyUI nodes

CLIP Text Encode (Prompt)
ComfyUI core
CLIP Text Encode turns a text prompt into CONDITIONING using the model text encoder. One node holds the positive prompt, a second one the negative prompt.
ComfyUI Manager
ComfyUI-Manager
ComfyUI Manager is the extension that installs, updates and fixes custom node packs and models from inside the interface, resolves missing nodes in imported workflows and snapshots your setup.
Save Image
ComfyUI core
Save Image writes the IMAGE tensor to ComfyUI/output as a PNG, with the whole workflow embedded in the file metadata so the picture can be dragged back into ComfyUI to restore the graph.
VAE Decode
ComfyUI core
VAE Decode converts the sampled LATENT into a pixel IMAGE with the VAE; VAE Decode (Tiled) does the same in tiles for very large images.
Empty Latent Image
ComfyUI core
Empty Latent Image creates the blank latent canvas (width, height, batch_size) that text-to-image sampling starts from; dimensions must be multiples of 8 and match the model family.
Load LoRA
ComfyUI core
Load LoRA (LoraLoader) applies a LoRA file to the MODEL and CLIP with separate strengths, so a style, character or concept can be added to any checkpoint without merging.