--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image - not-for-all-audiences --- # Core ML Converted Model: - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-or-safetensors-files-to-Core-ML). - Provide the model to an app such as **Mochi Diffusion** [Github](https://github.com/godly-devotion/MochiDiffusion) / [Discord](https://discord.gg/x2kartzxGv) 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](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml). - This model does not include a `safety checker` (for NSFW content). - This model can be used with ControlNet.
# epiCPhotoGasm-zUniversal_cn: Source(s): [CivitAI](https://civitai.com/models/132632/epicphotogasm?modelVersionId=201259)
## epiCPhotoGasm z-Universal

![image](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/82624b3b-4657-4506-868f-4d7306e0a0b6/width=450/00418-211057734.jpeg) ![image](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/48fcc4ab-9fb9-4027-8c34-8c2e0a5a5322/width=450/00395-3658229599.jpeg) ![image](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d4eba4ed-d469-4947-9b40-c16488df1aec/width=450/00415-1337.jpeg) ![image](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/65c2669f-bbf1-43aa-a3ab-4728bb559272/width=450/00402-2767081012.jpeg) ### Welcome to epiCPhotoGasm This Model is highly tuned for Photorealism with the tiniest amount of exessive prompting needed to shine. All Showcase images are generated without Negatives (V1) to show what is possible on the bare prompt. ### Whats special? The model has highly knowledge of what a photo is, so if u promt u can avoid using photo. If the prompt tends to be fantasy like the model will turn away from photo and u have to tweak by rained and known by the model, so try them out too. This should be most versatile version of this epiCPhotoGasm model and probably it will be the last. Have fun trying it out! ### How to use - Use simple prompts without "fake" enhancers like "masterpiece, photorealistic, 4k, 8k, super realistic, realism" etc. - Don't use a ton of negative embeddings, focus on few tokens or single embeddings - You can still use atmospheric enhances like "cinematic, dark, moody light" etc. - Start sampling at 20 Steps - No extra noise-offset needed ### Additional Ressources Style Negatives: colorful Photo | soft Photo ### Useful Extensions After Detailer | ControlNet | Agent Scheduler | Ultimate SD Upscale