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ComfyUI의 Load LoRA 노드

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.

노드 팩: ComfyUI core

카테고리: 로더

이 페이지는 아직 번역되지 않아 영어로 표시됩니다.

Load LoRA이(가) 하는 일

A LoRA is a small patch trained on top of a base model. Load LoRA takes the MODEL and CLIP coming from a checkpoint loader, applies the patch, and outputs new MODEL and CLIP objects. Everything downstream (prompts, sampler) then uses the patched versions. Several Load LoRA nodes can be chained to stack LoRAs.

strength_model scales how much the LoRA changes the diffusion network, strength_clip how much it changes the text encoder. Most LoRAs are made for 0.6 to 1.0 on both. Negative strengths push the model away from the concept. LoraLoaderModelOnly is the same node without the CLIP side, which is all most Flux and video LoRAs need.

입력

이름	타입	의미
model	MODEL	The model to patch, from Load Checkpoint, Load Diffusion Model or a previous LoRA node.
clip	CLIP	The text encoder to patch.
lora_name	COMBO	The LoRA file from models/loras.
strength_model	FLOAT	Weight applied to the model patch. 1.0 is the trained strength; 0 disables it.
strength_clip	FLOAT	Weight applied to the text encoder patch.

출력

이름	타입	의미
MODEL	MODEL	The patched model for the sampler or the next LoRA.
CLIP	CLIP	The patched text encoder for CLIP Text Encode.

설치는 건너뛰세요: 클라우드에 미리 설치된 ComfyUI 워크플로

BitVector는 완성된 ComfyUI 워크플로를 자체 GPU에서 실행합니다. 설치 없음, 누락 노드 없음, 빨간 박스 없음. 휴대폰이나 노트북에서 열고 1분 안에 생성하세요.

BitVector 사용해 보기

Load LoRA 사용법

Put the LoRA file in ComfyUI/models/loras.
Insert Load LoRA between the checkpoint loader and the sampler: model and clip in, MODEL and CLIP out.
Connect the CLIP output to the CLIP Text Encode nodes, not the original checkpoint CLIP.
Pick lora_name and set both strengths, starting at 0.8.
Add the trigger words from the LoRA page to the positive prompt.

설정과 팁

The LoRA must match the base family: an SDXL LoRA does nothing useful on SD 1.5 and a Flux LoRA fails on SDXL.
When stacking LoRAs, lower each strength so the total stays near 1.0 to 1.5; stacks at full strength burn the image.
A LoRA that only changes the model (no text encoder layers) prints "lora key not loaded" for CLIP keys; that is harmless.
For a quick A/B, set strength_model to 0 instead of unplugging the node; the graph stays wired.
Use a LoRA stacker node from a custom pack (rgthree Power Lora Loader, Efficiency LoRA Stacker) when you regularly use more than three.

Load LoRA 문제 해결

lora key not loaded: lora_unet_... (dozens of lines)

원인

The LoRA was trained for a different architecture than the model it is applied to, so none of its layer names match.

해결 방법

Check the LoRA page for its base model (SD 1.5, SDXL, Pony, Illustrious, Flux) and pair it with a checkpoint of that family. A handful of unmatched keys is normal; hundreds mean the wrong family.

The LoRA has no visible effect

원인

The CLIP Text Encode nodes are still wired to the checkpoint CLIP instead of the LoRA output, the trigger word is missing, or strength is 0.

해결 방법

Rewire both prompt nodes to the CLIP that leaves Load LoRA, add the trigger words, and raise strength_model to 1.0 to confirm it works before tuning down.

Images are oversaturated, deep-fried or full of artifacts

원인

Combined LoRA strength is too high, often because several LoRAs run at 1.0 together or an overtrained LoRA needs less than 1.

해결 방법

Lower strength_model to 0.5-0.7 per LoRA and keep the stack total around 1.2 or less. Raise cfg slightly if detail disappears.

Error: Expected size for first two dimensions of batch2 tensor to be... (shape mismatch)

원인

A LoRA of the wrong rank or family is being applied to CLIP, typically an SDXL LoRA with strength_clip above 0 on a Flux CLIP.

해결 방법

Use LoraLoaderModelOnly for Flux and video LoRAs, or set strength_clip to 0.

이 워크플로를 휴대폰에서 실행하세요

이 페이지의 모든 워크플로는 모델과 커스텀 노드까지 갖춘 채 BitVector에 미리 설치되어 있습니다. 하나 고르고 프롬프트를 입력하면 끝. 설정 제로, 다운로드 없음.

BitVector 사용해 보기

Load LoRA에 관한 질문

Can I load several LoRAs?

Yes. Chain Load LoRA nodes: the MODEL and CLIP outputs of one go into the next. Order rarely matters; strengths do.

Should strength_model and strength_clip be the same?

Usually. Lower strength_clip when the LoRA hijacks the prompt too strongly, lower strength_model when the style is too heavy.

Do LyCORIS / LoCon / DoRA files work here?

Most do, in the same node. Very old formats may need the LyCORIS custom node pack.

더 많은 ComfyUI 노드

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 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.

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.

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