stable-diffusion-3.5-medium-onnx-int8

Stable Diffusion 3.5 Medium ONNX with 8-bit Quantization

This ONNX version of Stable Diffusion 3.5 Medium was made from the ONNX source model, using onnxruntime.quantization.quantize_dynamic(): ONNX Model Quantization.

Usage

Python Gradio: Stable Diffusion 3.5 Inpainting in ONNX

Model

Stable Diffusion 3.5 Medium is a Multimodal Diffusion Transformer with improvements (MMDiT-X) text-to-image model that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.

Please note: This model is released under the Stability Community License. Visit Stability AI to learn or contact us for commercial licensing details.

Model Description

• Developed by: Stability AI
• Model type: MMDiT-X text-to-image generative model
• Model Description: This model generates images based on text prompts. It is a Multimodal Diffusion Transformer (https://arxiv.org/abs/2403.03206) with improvements that use three fixed, pretrained text encoders, with QK-normalization to improve training stability, and dual attention blocks in the first 12 transformer layers.

License

• Community License: Free for research, non-commercial, and commercial use for organizations or individuals with less than $1M in total annual revenue. More details can be found in the Community License Agreement. Read more at https://stability.ai/license.
• For individuals and organizations with annual revenue above $1M: please contact us to get an Enterprise License.