Core ML Converted Model:

• This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
• Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
• split_einsum version is compatible with all compute unit options including Neural Engine.<br>
• original version is only compatible with CPU & GPU option.<br>
• Custom resolution versions are tagged accordingly.<br>
• vae tagged files have a vae embedded into the model.<br>
• Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
• This model was converted with vae-encoder for 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!