Create README.md

README.md

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+---
+license: other
+license_name: sacla
+license_link: >-
+  https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md
+base_model:
+- stabilityai/stable-diffusion-3.5-large
+base_model_relation: quantized
+---
+## Overview
+These models are made to work with [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) release [master-ac54e00](https://github.com/leejet/stable-diffusion.cpp/releases/tag/master-ac54e00) onwards. Support for other inference backends is not guarenteed.
+
+Quantized using this PR https://github.com/leejet/stable-diffusion.cpp/pull/447
+
+Normal K-quants are not working properly with SD3.5-Large models because around 90% of the weights are in tensors whose shape doesn't match the 256 superblock size of K-quants and therefore can't be quantized this way. Mixing quantization types allows us to take adventage of the better fidelity of k-quants to some extent while keeping the model file size relatively small.
+
+## Files:
+
+### Mixed Types:
+
+TODO
+
+### Legacy types:
+
+TODO
+
+## Outputs:
+
+Sorted by model size (Note that q4_0 and q4_k_4_0 are the exact same size)
+
+| Quantization       | Robot girl                       | Text                               | Cute kitten                        |
+| ------------------ | -------------------------------- | ---------------------------------- | ---------------------------------- |
+
+
+Generated with a modified version of sdcpp with [this PR](https://github.com/leejet/stable-diffusion.cpp/pull/397) applied to enable clip timestep embeddings support.
+
+Text encoders used: q4_k quant of t5xxl, full precision clip_g, and q8 quant of [ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF](https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14) in place of clip_l.
+
+Full prompts and settings in png metadata.