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 release 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:
- sd3.5_large-q2_k_4_0.gguf: Smallest quantization yet. Use this if you can't afford anything bigger
- sd3.5_large-q3_k_4_0.gguf
- sd3.5_large-q4_k_4_0.gguf: Exacty same size as q4_0, but with slightly less degradation. Recommended
Legacy types:
- sd3.5_large-q4_0.gguf: Same size as q4_k_4_0, Not recommended (use q4_k_4_0 instead)
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 |
|---|---|---|---|
| q2_k_4_0 |  |
 |
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| q3_k_4_0 |  |
 |
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| q4_0 |  |
 |
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| q4_k_4_0 |  |
 |
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Generated with a modified version of sdcpp with this PR 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 in place of clip_l.
Full prompts and settings in png metadata.