Stable Diffusion 3.5 Large

A text-to-image model based on Multimodal Diffusion Transformer with improvements (MMDiT-X) that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.

Key Features

• At 8.1 billion parameters, with superior quality and prompt adherence, this base model is the most powerful in the Stable Diffusion family. This model is ideal for professional use cases at 1 megapixel resolution.
• Diverse Outputs: Creates images representative of the world, not just one type of person, with different skin tones and features, without the need for extensive prompting. 
• Versatile Styles: Capable of generating a wide range of styles and aesthetics like 3D, photography, painting, line art, and virtually any visual style imaginable.

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The model is a component of the image generation pipeline, consisting of:

• CLIP text encoder: ~124M parameters,
• CLIP text encoder: ~695M parameters,
• T5 text encoder: ~5B parameters,
• Transformer: ~8B parameters,
• VAE: ~84M parameters.

Total: ~14B parameters

Announce Date: 22.10.2024
Parameters: 8B
Context: 256
Developer: Stability AI
Diffusers Version: 0.31.0
vLLM-Omni Version: 0.12.0rc1
License: StabilityAI Community

Use our pre-built public endpoints for free to test inference and explore Stable Diffusion 3.5 Large capabilities. You can obtain an API access token on the token management page after registration and verification.

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

• maximize endpoint performance,
• enable full context for long sequences,
• ensure top-tier security for data processing in an isolated, dedicated environment,
• use custom weights, such as fine-tuned models or LoRA adapters.

Contact our dedicated neural networks support team at nn@immers.cloud or send your request to the sales department at sale@immers.cloud.