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This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.
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Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.
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split_einsum
version is compatible with all compute unit options including Neural Engine. -
original
version is only compatible with CPU & GPU option. -
Custom resolution versions are tagged accordingly.
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The
vae-ft-mse-840000-ema-pruned.ckpt
vae is embedded into the model. -
Descriptions are posted as-is from original model source.
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Not all features and/or results may be available in CoreML format.
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This model was converted with
vae-encoder
for i2i. -
This model is fp16.
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This model does not have the unet split into chunks.
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This model does not include a safety checker (for NSFW content)
ez-v10
Source(s): CivitAI
Trained and Mixed model for photorealism.
Recommended sampler: UniPC, DPM++ 2M Karras
Low CFG scale is recommended: 2 - 5
Recommended VAE: vae-ft-mse-840000-ema-pruned
Used Models: SD 1.5 (trained), Anything 3.0 (merged->trained), Anything 4.5 (merged), and some other trained models were merged