CLIPLoader - ComfyUI Built-in Node Documentation

The CLIPLoader node loads a text encoder model (CLIP, T5, or similar) from a file, making it available for use in other nodes that need to convert text prompts into numerical repre

The CLIPLoader node loads a text encoder model (CLIP, T5, or similar) from a file, making it available for use in other nodes that need to convert text prompts into numerical representations. It supports a wide variety of model architectures, each requiring a specific encoder type.

Inputs

Parameter	Description	Data Type	Required	Range
clip_name	The filename of the text encoder model to load. This must be a file located in the ComfyUI/models/text_encoders/ directory.	STRING	Yes	List of files found in the text_encoders folder
type	The architecture type of the model being loaded. This determines which specific encoder variant to use (default: "stable_diffusion").	COMBO	Yes	"stable_diffusion" "stable_cascade" "sd3" "stable_audio" "mochi" "ltxv" "pixart" "cosmos" "lumina2" "wan" "hidream" "chroma" "ace" "omnigen2" "qwen_image" "hunyuan_image" "flux2" "ovis" "longcat_image" "cogvideox" "lens" "pixeldit" "ideogram4" "boogu" "krea2" "joyimage" "mage" "minimax" "yue2"
device	The device to load the model onto. "default" uses the GPU if available, while "cpu" forces CPU loading. This is an advanced option (default: "default").	COMBO	No	"default" "cpu"

Supported Type-to-Encoder Mappings

The type parameter selects the correct encoder for a given model architecture. The following are common mappings:

Type	Encoder
stable_diffusion	clip-l
stable_cascade	clip-g
sd3	t5 xxl / clip-g / clip-l
stable_audio	t5 base
mochi	t5 xxl
cogvideox	t5 xxl (226-token padding)
cosmos	old t5 xxl
lumina2	gemma 2 2B
wan	umt5 xxl
hidream	llama-3.1 (recommended) or t5
omnigen2	qwen vl 2.5 3B
joyimage	qwen3-vl 8B
lens	gpt-oss-20b
pixeldit	gemma 2 2B elm
minimax	MiniMax H3 Qwen3-VL or Music3 Qwen/RVQ

Outputs

Output Name	Description	Data Type
CLIP	The loaded text encoder model, ready to be connected to other nodes for text encoding and conditioning.	CLIP

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

---

Source fingerprint (SHA-256): 6df608d500520d9414acd82d9fd509b1e211a8385202cefd5579e8a8f397bc64