Stable Diffusion 3.5 Large and Large Turbo just got released publicly.
https://huggingface.co/stabilityai/stable-diffusion-3.5-large
https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo

Inference code here (warning: weird licence): https://github.com/Stability-AI/sd3.5

It's a model that should perform fairly well (SD3-Large is ranked slightly above Flux Schnell on artificialanalysis areana leaderboard, and this is an upgraded version of SD3-Large), while being smaller than Flux (it's has 8B parameters).

Right now, these two models are not supported by sdcpp (I tried).

What's required:

• Differentiate SD3 2B and SD3.5 Large/Large Turbo
• Add --clip_g argument: Add --clip_g argument and support split SD3 2B models (for SD3.5 support) #444
• Fix k quantization (q3_k I generated is 13.5 GB, while the full fp16 model is 16GB)
• Maybe more?

Sidenote: SD3.5 Medium (2B) is also going to be released soon, hopefully it will work as a drop-in replacement for SD3 2B

Edit: About quantization, the majority of tensors in sd3.5 large do not fit nicely in a whole number of blocks of size 256, so they are skipped when trying to quantize to q3_k, q4_k and so on.