Model Assets

This page covers how Local Dream handles checkpoints, LoRAs, and related assets.

Custom Models

You can use your own models in addition to the built-in ones:

• CPU/GPU mode: Import any SD1.5 checkpoint directly in the app. The conversion happens on-device. CPU models can also use OpenCL acceleration where supported.

  WARNING

  The checkpoint must include VAE weights (typically ~2 GB or larger). Models without VAE weights (~1.8 GB) cannot be converted.

• NPU mode: SD1.5 and SDXL models must be converted on a host machine first. See the Conversion Guide.

For pre-converted community NPU models and details on chip tier suffixes, see Available Models — Pre-converted Community Models.

Deleting Models

You can delete a model directly from the home screen by long-pressing its model card.

This is the quickest way to remove models you no longer need and free up storage space.

LoRA Support

LoRA weights cannot be attached to an already converted model, because converted Local Dream models are already quantized, both on the CPU/GPU path and the NPU path.

If you want to use a LoRA, merge it into the original checkpoint before conversion. After that, convert or import the merged checkpoint as a normal model.

In other words:

• Already converted / quantized model: no LoRA injection
• Original checkpoint before conversion: LoRA can be baked in first