DreamShaper XL Lightning β€” Core ML (8-bit)

demo

Reference image for this model. Curated from the model's own examples β€” not generated from this Core ML build; quantized output may differ slightly.

Versatile artistic all-rounder (SDXL) distilled for few-step generation.

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 Lykon/dreamshaper-xl-lightning β€” 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

portrait photo of muscular bearded guy in a worn mech suit, light bokeh, intricate, steel metal, elegant, sharp focus, soft lighting, vibrant colors
Setting Value
Steps 4
Guidance (CFG) 2.0
Size 1024x1024

Few-step Lightning model β€” 4-8 steps at low guidance.

Modifications from the base model

Converted from PyTorch/diffusers to Core ML (.mlmodelc) and quantized to 8-bit palettized weights. No fine-tuning β€” behaviour tracks the base model, though quantization can shift outputs slightly.

Licence

Inherited from the base model: openrail++. 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.

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