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The Save Checkpoint node is designed to save a complete Stable Diffusion model (including UNet, CLIP, and VAE components) as a .safetensors format checkpoint file. The Save Checkpoint is primarily used in model merging workflows. After creating a new merged model through nodes like ModelMergeSimple, ModelMergeBlocks, etc., you can use this node to save the result as a reusable checkpoint file.

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Inputs

ParameterDescriptionData Type
modelThe model parameter represents the primary model whose state is to be saved. It is essential for capturing the current state of the model for future restoration or analysis.MODEL
clipThe clip parameter is intended for the CLIP model associated with the primary model, allowing its state to be saved alongside the main model.CLIP
vaeThe vae parameter is for the Variational Autoencoder (VAE) model, enabling its state to be saved for future use or analysis alongside the main model and CLIP.VAE
filename_prefixThis parameter specifies the prefix for the filename under which the checkpoint will be saved.STRING
Additionally, the node has two hidden inputs for metadata: prompt (PROMPT): Workflow prompt information extra_pnginfo (EXTRA_PNGINFO): Additional PNG information

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Outputs

This node will output a checkpoint file, and the corresponding output file path is output/checkpoints/ directory

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Architecture Compatibility

  • Currently fully supported: SDXL, SD3, SVD and other mainstream architectures, see source code
  • Basic support: Other architectures can be saved but without standardized metadata information
Related source code: nodes_model_merging.py#L227
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