Stability AI Resurgence with MMDiT
Stable Diffusion 3.5 Large utilizes Multimodal Diffusion Transformers where image latents and text embeddings share bidirectional attention layers. By pairing standard CLIP encoders with Google's massive T5-XXL language model, SD 3.5 demonstrates an extraordinary grasp of spatial terminology like 'behind', 'beside', and 'surrounded by'.
Recommended Generation Settings
- Sampling Steps: 28-35 with Euler Ancestral or DPM++ 2M Karras.
- CFG Scale: 4.0 - 5.5 (higher values can induce oversaturation).
- FP8 Quantization: Runs smoothly on 12GB and 16GB GPUs without visible perceptual quality loss.