SD3

Stable Diffusion 3.x

StabilityAI's Stable Diffusion 3 family consists of:

• Stable Diffusion 3.0 Medium
• Stable Diffusion 3.5 Medium
• Stable Diffusion 3.5 Large
• Stable Diffusion 3.5 Large Turbo

Important

Allow gated access This is a gated model, you need to accept the terms and conditions to use it
For more information see Gated Access Wiki

Important

Set offloading Set appropriate offloading setting before loading the model to avoid out-of-memory errors
For more information see Offloading Wiki

Important

Choose quantization Check compatibility of different quantizations with your platform and GPU!
For more information see Quantization Wiki

[!TIP] Use reference models Use of reference models is recommended over manually downloaded models!
Simply select it from Networks -> Models -> Reference
and model will be auto-downloaded on first use

Components

SD3.x model consists of:

• Unet/Transformer: MMDiT
• Text encoder 1: CLIP-ViT/L,
• Text encoder 2: OpenCLIP-ViT/G,
• Text encoder 3: T5-XXL Version 1.1
• VAE

When using reference models, all components will be loaded as needed.
If using manually downloaded model, you need to ensure that all components are correctly configured and available.
Note that majority of available downloads are not actually all-in-one models and are instead just a part of the full model with individual components.

Important

Do not attempt to assemble a full model by loading all individual components
That may be how some other apps are designed to work, but its not how SD.Next works
Always load full model and then replace individual components as needed

Warning

If you're getting error message during model load: file=xxx is not a complete model
It means exactly that - you're trying to load a model component instead of full model

Tip

For convience, you can add setting that allow quick replacements of model components to your
quicksettings by adding Settings -> User Interface -> Quicksettings list -> sd_unet, sd_vae, sd_text_encoder

Fine-tunes

Diffusers

N/A: Currently there are no known diffusers fine-tunes of SD3.0 or SD3.5 models

LoRAs

SD.Next includes support for SD3 LoRAs

Since LoRA keys vary significantly between tools used to train LoRA as well as LoRA types,
support for additional LoRAs will be added as needed - please report any non-functional LoRAs!

Also note that compatibility of LoRA depends on the quantization type! If you have issues loading LoRA, try switching your FLUX.1 base model to different quantization type

All-in-one

Since text encoders and VAE are same between all FLUX.1 models, using all-in-one safetensors is not recommended due to large duplication of data

Unet/Transformer

Unet/Transformer component is a typical model fine-tune and is around 11GB in size

To load a Unet/Transformer safetensors file:

1. Download safetensors or gguf file from desired source and place it in models/UNET folder
2. Load model as usual and then
3. Replace transformer with one in desired safetensors file using:
   Settings -> Execution & Models -> UNet

Text Encoder

SD.Next allows changing optional text encoder on-the-fly

Go to Settings -> Models -> Text encoder and select the desired text encoder
T5 enhances text rendering and some details, but its otherwise very lightly used and optional
Loading lighter T5 will greatly decrease model resource usage, but may not be compatible with all offloading modes

VAE

SD.Next allows changing VAE model used by FLUX.1 on-the-fly
There are no alternative VAE models released, so this setting is mostly for future use

Tip

To enable image previews during generate, set Settings -> Live Preview -> Method to TAESD

To further speed up generation, you can disable "full quality" which triggers use of TAESD instead of full VAE to decode final image

Scheduler

Model only supports only its native FlowMatch scheduler, additional schedulers will be added in the future
Due to specifics of flow-matching methods, number of steps also has strong influence on the image composition, not just on the way how its resolved