Instructions to use cudabenchmarktest/stable-diffusion-3.5-large-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cudabenchmarktest/stable-diffusion-3.5-large-turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cudabenchmarktest/stable-diffusion-3.5-large-turbo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| 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`](https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo). Weights, configs, and license are preserved verbatim. | |
| ## Files | |
| - `sd3.5_large_turbo.safetensors` β single-file checkpoint. | |
| - `transformer/`, `vae/`, `scheduler/`, `text_encoder/`, `text_encoder_2/`, `text_encoder_3/`, `tokenizer*/` β diffusers-format components. | |
| - `text_encoders/` β single-file text encoders for ComfyUI workflows. | |
| - `model_index.json`, `SD3.5L_Turbo_example_workflow.json` β pipeline and workflow configs. | |
| - `LICENSE.md` β Stability AI Community License (verbatim). | |
| ## Inference | |
| ```python | |
| 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. | |