coreml-pony-diffusion-v6-xl-8bit

Pony Diffusion V6 XL — Core ML (8-bit)

_{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 for mindfire-image.

Original model

Converted from 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

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.