coreml-westernAnimation_v1_cn

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_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.
• The vae-ft-mse-840000-ema-pruned.ckpt VAE is embedded into the model.
• This model was converted with a vae-encoder for use with image2image.
• This model is fp16.
• Descriptions are posted as-is from original model source.
• Not all features and/or results may be available in CoreML format.
• This model does not have the unet split into chunks.
• This model does not include a safety checker (for NSFW content).
• This model can be used with ControlNet.

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westernAnimation_v1_cn:

Source(s): CivitAI<br>

Western Animation Diffusion

Comicbook and Western Animation Style Model

Do you like what I do? Consider supporting me on Patreon or feel free to buy me a coffee.

A ❤️, a kind comment or a review is greatly appreciated.

Purpose of this model

Train character loras where the dataset is mostly made of cartoon screencaps or comicbooks, allowing less style transfer and less overfitting.

Add variety to mixes.

Have an alternative to anime models when it comes to western stuff.

NOT to be used with style loras. Also NOT for style lora training.

Suggested settings

Set the ETA Noise Seed Delta (ENSD) to 31337

Set CLIP Skip to 2

DISABLE face restore. It's terrible, never use it

Use negative prompts and embeddings that don't ruin the style

Use AnimeVideo or Foolhardy as upscalers in highres fix

Use ADetailer for far away shots or full body images to avoid blurred faces

Brief history

This was requested by a supporter and I also wanted to see if I was capable of doing it. It was a funny little project.<br><br>