coreml-community/coreml-meinahentai_v4_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.

meinahentai_v4_cn:

Source(s): CivitAI

I created a discord server where you can post images that you generated, discuss prompt and/or ask for help. https://discord.gg/meinaverse

I also have a ko-fi and Patreon page where you can support me or buy me a coffee <3 , it will be very much appreciated:

https://ko-fi.com/meina and https://www.patreon.com/MeinaMix

MeinaHentai is officially hosted for online generation in:

• Sinkin.ai
• Tensor
• Dazzleai

MeinaHentai is the third addition to the Meina family of models, it is laser focus in hard nsfw and hentai.

MeinaHentai objective is to make detailed and hentai illustrations.

Recommendations of use:

If you want the art to be more realistic, add: 'realistic' or 'photo' in the prompt.

Sampler: Euler a: 20~40 steps

Sampler: DPM++ SDE Karras: 20~30 steps

CFG Scale: 7

Resolutions: 512x768, 512x1024 for Portrait

Resolutions: 768x512, 1024x512, 1536x512 for Landscape

Hires.fix: R-ESRGAN 4x+Anime6b, with 10 to 15 steps at 0.2 up to 0.4 denoising

Clip Skip: 2

Negatives: (worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2)