DreamShaper 8 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 all-rounder (SD 1.5) β€” art, fantasy, semi-realistic and anime in one 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 Lykon/dreamshaper-8 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 25
Guidance (CFG) not specified
Size 512x512

Native resolution is 512x512 (SD 1.5). The card documents 25 steps with a DEIS multistep scheduler; guidance is not stated.

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: 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.

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