RealVisXL V5.0 by SG161222, converted to Core ML for the iPhone and iPad Neural Engine with Apple's ml-stable-diffusion, following Apple's recipe for its own iPhone SDXL: SPLITEINSUM attention, 768 x 768, recipe4.50bitmixedpalette UNet (Apple's mixed-bit palettization recipe for SDXL), UNet split into two halves, 16-bit text encoders, madebyollin/sdxl-vae-fp16-fix decoder. Used by the IMAGINE IT app. License: CreativeML Open RAIL++-M, inherited from the base model. Its use restrictions apply to anyone using these weights: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENSE.md
Independent publisher
Joey R
skywalker33
Models in Library4
Datasets in Library0
Models on Hugging Face1
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Published tasks: Text to image.
Reported licenses: apache-2.0, openrail++. Open a record to review its specific license and conditions.
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Models
SAM 2.1 Small (Meta, Apache 2.0) in Apple's Core ML conversion, mirrored from apple/coreml-sam2.1-small.
LaMa (Large Mask Inpainting, Samsung AI Center Moscow, Apache 2.0) in Core ML, from mlboydaisuke/LaMa-CoreML, unzipped.
Converted from GraydientPlatformAPI/inpainting-realvisxlInpaintingv5lightning with the SDXL fp16-fix VAE (MIT). Linear layers are 6-bit MLX affine quantized (group size 64); everything else is 16-bit. Built on Stable Diffusion XL by Stability AI. Use is governed by the CreativeML Open RAIL++-M License, including its use restrictions.