metadata
license: other
license_name: stabilityai-ai-community
license_link: LICENSE.md
base_model: stabilityai/stable-diffusion-3.5-large-turbo
pipeline_tag: text-to-image
library_name: diffusers
tags:
- text-to-image
- mmdit
- sd3.5
- turbo
- add-distilled
stable-diffusion-3.5-large-turbo
ADD-distilled Multimodal Diffusion Transformer (MMDiT) text-to-image model. Uses three fixed, pretrained text encoders with QK-normalization. Designed for high-quality output at low step counts (typically 4 steps, guidance 0.0).
This repository is an unmodified redistribution of stabilityai/stable-diffusion-3.5-large-turbo. Weights, configs, and license are preserved verbatim.
Files
sd3.5_large_turbo.safetensors— single-file checkpoint.transformer/,vae/,scheduler/,text_encoder/,text_encoder_2/,text_encoder_3/,tokenizer*/— diffusers-format components.text_encoders/— single-file text encoders for ComfyUI workflows.model_index.json,SD3.5L_Turbo_example_workflow.json— pipeline and workflow configs.LICENSE.md— Stability AI Community License (verbatim).
Inference
import torch
from diffusers import StableDiffusion3Pipeline
pipe = StableDiffusion3Pipeline.from_pretrained(
"cudabenchmarktest/stable-diffusion-3.5-large-turbo",
torch_dtype=torch.bfloat16,
).to("cuda")
image = pipe(
"A capybara holding a sign that reads Hello Fast World",
num_inference_steps=4,
guidance_scale=0.0,
).images[0]
image.save("out.png")
License and attribution
Governed by the Stability AI Community License Agreement (see LICENSE.md). Permits research, non-commercial use, and commercial use for organizations or individuals with less than $1M USD in total annual revenue. Above that threshold a separate Stability Enterprise license is required.
- Original release: Stability AI (
stabilityai/stable-diffusion-3.5-large-turbo). - This redistribution: weights and configs unmodified, LICENSE preserved, README replaced, demo image files removed. No additional modifications.