♦ All-in-one Checkpoint fp8 is available with both fp8 and fp16 T5XXL ENCODER, choose "Full model fp16" in the downloads for fp16, and "Full model fp8" for fp8 t5xxl.
Experimental merge of SD3.5 Large and Large Turbo. I saved when I found a good balance at 8 steps, but needs further testing! So far, quality seems better than Turbo model with little speed sacrifice, although it can make some pretty incoherent images too.
Good results with CFG 1.0-3.0
Work in progress
PS. I borrowed some test prompts from SD3.5 image feed :)
Node for merging SD3.5 Large with right amount of joint blocks: https://pastebin.com/b88v5D8k
Comparisons


























Description
VAE to use with SD3.5 models
Details
Files
sd35Fusion8StepsMergeFull_vae.safetensors
Mirrors
stableDiffusion35VAE_official.safetensors
stableDiffusion35VAE_official.safetensors
sd35Fusion8StepsMergeFull_vae.safetensors
sd35Fusion8StepMerge_vae.safetensors
diffusion_pytorch_model.safetensors
diffusion_pytorch_model.safetensors
diffusion_pytorch_model.safetensors
diffusion_pytorch_model.safetensors
diffusion_pytorch_model.safetensors