Hello, Here's the BulkedUp AI R2 SD 1.5 LoRA merged with Fluffusion at 1 strength as a QNN model for Local Dream, an Android Stable Diffusion app with Snapdragon NPU acceleration: <a target="_blank" rel="ugc" href="https://github.com/xororz/local-dream">https://github.com/xororz/local-dream</a> The model was converted to an NPU model with the Github's conversion guide: <a target="_blank" rel="ugc" href="https://github.com/xororz/local-dream/tree/master/convert">https://github.com/xororz/local-dream/tree/master/convert</a> There are three versions of the QNN model that you may choose: - 8gen2 for Snapdragon 8 gen 2 processors and up - 8gen1 for Snapdragon 8 gen 1 processors - min for Non-flagship Snapdragon chips with Hexagon V68 or above (e.g., Snapdragon 7 Gen 1, 8s Gen 3) (NOTE: this can only gen in 512x512) With my Snapdragon 8 gen 2 phone, the S23 Ultra, here's some quick benchmarks 512x512 Image gen with NPU (8gen2 version) - around 6 seconds 832x832 Image gen with NPU (8gen2 version)- around 39 seconds 512x512 Image gen with GPU - around 1 minute and 10 seconds 512x512 Image gen with CPU - around 2 minutes and 50 seconds The 8gen1 and 8gen2 were converted to support the following resolutions:512x512, 704x576, 576x704, 640x640, 576x832, 832x576, 704x704, 832x640, 640x832, 832x704, 704x832, 832x832

BulkedUp AI R2 – Fluffusion Edition (QNN / Local Dream)

This is the 8gen1 for Snapdragon 8 gen 1 processors

Files with SHA256: bab70c76c71a4b852a5c23ad5b03e0cf0b1f66dfcc011592a2f018ea1db05040