metadata
license: other
license_name: sacla
license_link: >-
https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo/blob/main/LICENSE.md
base_model:
- stabilityai/stable-diffusion-3.5-large-turbo
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_turbo-q2_k_4_0.gguf: Smallest quantization yet. Use this if you can't afford anything bigger
- sd3.5_large_turbo-q3_k_4_0.gguf: Smaller than q4_0, acceptable degradation.
- sd3.5_large_turbo-q4_k_4_0.gguf: Exacty same size as q4_0, but with slightly less degradation. Recommended
- sd3.5_large_turbo-q4_k_4_1.gguf: Smaller than q4_1, and with comparable degradation. Recommended
- sd3.5_large_turbo-q4_k_5_0.gguf: Smaller than q5_0, and with comparable degradation. Recommended
Legacy types:
- sd3.5_large_turbo-q4_0.gguf: Same size as q4_k_4_0, Not recommended (use q4_k_4_0 instead)
- (I wanted to upload more, but it's not working anymore, maybe i hit a rate limit)
Outputs:
| Name | Image | Image | Image |
|---|---|---|---|
| q2_k_4_0 |  |
 |
 |
| q3_k_4_0 |  |
 |
 |
| q4_0 |  |
 |
 |
| q4_k_4_0 |  |
 |
 |
| q4_k_4_1 |  |
 |
 |
| q4_1 |  |
 |
 |
| q4_k_5_0 |  |
 |
 |
| q5_0 |  |
 |
 |
| q8_0 |  |
 |
 |
| f16(sft) |  |
 |
 |