--- license: creativeml-openrail-m base_model: AstraliteHeart/pony-diffusion-v6 pipeline_tag: text-to-image tags: - core-ml - coreml - stable-diffusion - apple-silicon - ios - quantized --- # Pony Diffusion V6 XL — Core ML (8-bit) ![demo](demo.png) Reference image for this model. Curated from the model's own examples — not generated from this Core ML build; quantized output may differ slightly. **Character specialist** — anthro / furry / cartoon / anime characters. Not a photoreal model. Core ML conversion for Apple silicon (iOS / iPadOS / macOS, Neural Engine), built with Apple's [ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) for [mindfire-image](https://github.com/Gatcha-man/mindfire-image). ## Original model Converted from **[AstraliteHeart/pony-diffusion-v6](https://huggingface.co/AstraliteHeart/pony-diffusion-v6)** — go there for the original weights, full model card and licence. ## Demo prompt The prompt and settings used for this model's demo image (also the reference example shipped in mindfire-image): **Prompt** ``` score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_furry, beautiful female anthro shark portrait, dramatic lighting, dark background ``` | Setting | Value | |---|---| | Steps | 25 | | Guidance (CFG) | 7.0 | | Size | 1024x1024 | > **This model needs score-tag prompting.** Always lead with > `score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up`, then a > `source_*` tag (`source_furry`, `source_anime`, `source_pony`, `source_cartoon`), > then your description. Without the score prefix quality degrades badly. > Use **CLIP skip 2**. ## Modifications from the base model Converted from PyTorch/diffusers to Core ML (`.mlmodelc`) and **quantized to 8-bit palettized** weights. No fine-tuning — behaviour tracks the base model, though quantization can shift outputs slightly. ## Licence Inherited from the base model: `creativeml-openrail-m`. This carries the OpenRAIL **use-based restrictions (Attachment A)**, which bind you as a downstream user of this conversion exactly as they do for the base model. Read the base model's licence before use or redistribution.