This model was converted to Core ML for use on Apple Silicon devices by following Apple's instructions here.
Provide the model to an app such as Mochi Diffusion to generate images.

split_einsum version is compatible with all compute unit options including Neural Engine.
original version is only compatible with CPU & GPU option.

Analog Diffusion CKPT DOWNLOAD LINK - This is a dreambooth model trained on a diverse set of analog photographs.

In your prompt, use the activation token: analog style

You may need to use the words blur haze naked in your negative prompts. My dataset did not include any NSFW material but the model seems to be pretty horny. Note that using blur and haze in your negative prompt can give a sharper image but also a less pronounced analog film effect.

Trained from 1.5 with VAE.

Please see this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.

We support a Gradio Web UI to run Analog-Diffusion:

Here's a link to non-cherrypicked batches.