Core ML Converted Model:
- This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.
- Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.
split_einsumversion is compatible with all compute unit options including Neural Engine.originalversion is only compatible with CPU & GPU option.- Custom resolution versions are tagged accordingly.
vaetagged files have a vae embedded into the model.- Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.
- This model was converted with
vae-encoderfor i2i. - Models that are 32 bit will have "fp32" in the filename.
Note: Some models do not have the unet split into chunks.
SNVHS:
Source(s): CivitAI
Model trained on liminal space pictures I took after applying a simple VHS filter on it, using https://civitai.com/models/13941/epinoiseoffset in combination with this model works well!
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.