Stable Diffusion 3.5 Large enhances image generation with advanced architecture and diverse outputs.
Stable Diffusion 3.5 Large is a state-of-the-art text-to-image generative model designed to create high-resolution images based on textual prompts. It excels in producing diverse and high-quality outputs, making it suitable for professional applications.
This model is designed for various applications, including digital art creation, content generation, and any scenario where high-quality image synthesis from textual descriptions is required.
The model primarily supports English but can handle prompts in multiple languages due to its training on diverse datasets.
Stable Diffusion 3.5 Large employs a Multimodal Diffusion Transformer (MMDiT) architecture that integrates Query-Key Normalization to enhance training stability and output diversity.
The model was trained on a wide variety of datasets, including publicly available images and synthetic data. This diverse training set helps the model understand various artistic styles and contexts.
The training dataset comprises millions of images, ensuring comprehensive coverage of visual concepts and styles. The exact size is proprietary but includes filtered datasets to mitigate biases.
The model's knowledge is current as of October 2024, aligning with its release date.
Efforts have been made to include diverse representations in the training data, aiming to reduce biases related to ethnicity, gender, and other demographic factors. However, users should remain vigilant regarding potential biases in outputs.
The model is optimized for generating images at a resolution of 1 megapixel (e.g., 1024x1024 pixels), ensuring exceptional detail and clarity in outputs. This resolution is considered the sweet spot for balancing quality and performance.
Stable Diffusion 3.5 Large excels in accurately interpreting complex prompts, achieving a market-leading prompt adherence rate. It effectively utilizes advanced encoders (CLIP and T5) to understand nuanced requests, which enhances its ability to generate images that closely match user expectations.
The model's inference times are highly competitive, with benchmarks indicating that it can generate images in approximately 2.8 to 3.5 seconds on high-end GPUs like the RTX 4090 and RTX 3090, respectively. This speed is particularly notable given its image quality and complexity.
With 8 billion parameters, Stable Diffusion 3.5 Large is the most powerful model in the Stable Diffusion family, which contributes to its superior performance in image generation compared to smaller variants.
The model is designed to run efficiently on consumer hardware, requiring a minimum of 12GB VRAM for optimal performance. It can still function on lower VRAM configurations through techniques like model quantization, although this may affect speed.
The architecture supports extensive fine-tuning, allowing users to customize outputs for specific artistic styles or applications. This flexibility enhances its usability across various creative domains.
The model supports batch processing, enabling the generation of multiple images simultaneously, which is beneficial for workflows that require rapid output.
The Stable Diffusion 3.5 Large (8.1B) model demonstrates top-tier performance, particularly excelling in both Prompt Adherence and Aesthetic Quality compared to other models in the graph. With an Elo score exceeding 1020 in both categories, this model showcases improved consistency in generating outputs that align with the input prompts while maintaining visually appealing results. Its performance surpasses that of SD 3.0 Large and is on par with FLUX.1 [dev] and FLUX.1 [schnell], reinforcing its strong position for tasks requiring high-fidelity prompt interpretation and aesthetic output in the image generation space.
The model is available on the AI/ML API platform as "stable-diffusion-v35-large" .
Detailed API Documentation is available here.
The development of Stable Diffusion 3.5 Large adheres to ethical considerations regarding bias reduction and responsible AI use. Users are encouraged to review ethical implications when deploying the model in real-world applications.
The model is available under the Stability AI Community License:
Get Stable Diffusion 3.5 Large API here.