Overview
Loads a diffusion model checkpoint file and decomposes it into three core components: the main model used for denoising latents, the CLIP text encoder, and the VAE image encoder/decoder. This node automatically detects all model files in theComfyUI/models/checkpoints folder and any additional paths configured in your extra_model_paths.yaml file.
Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
ckpt_name | The name of the checkpoint (model) to load. Select the checkpoint model file name, which determines the AI model used for subsequent image generation. | STRING | Yes | All model files in the checkpoints folder |
Outputs
| Output Name | Description | Data Type |
|---|---|---|
MODEL | The model used for denoising latents. This is the core diffusion model used for image generation. | MODEL |
CLIP | The CLIP model used for encoding text prompts, converting text descriptions into information that AI can understand. | CLIP |
VAE | The VAE model used for encoding and decoding images to and from latent space. | VAE |
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