Segmind Stable Diffusion 1B (SSD-1B)
| Property | Value |
|---|---|
| Parameter Count | 1.3B |
| License | Apache 2.0 |
| Paper | Progressive Knowledge Distillation Of Stable Diffusion XL |
| Training Steps | 251,000 |
What is SSD-1B?
SSD-1B is a groundbreaking distilled version of the Stable Diffusion XL (SDXL) model, designed to deliver exceptional text-to-image generation capabilities while being 50% smaller and 60% faster than its predecessor. Developed by Segmind, this model represents a significant advancement in efficient AI image generation.
Implementation Details
The model employs a sophisticated knowledge distillation strategy, learning from multiple expert models including SDXL, ZavyChromaXL, and JuggernautXL. It was trained using mixed-precision (fp16) with a learning rate of 1e-5, batch size of 32, and gradient accumulation steps of 4.
- Supports multiple output resolutions from 640x1536 to 1536x640
- Optimized for both speed and quality
- Compatible with AUTOMATIC1111 and ComfyUI
- Trained on diverse datasets including Grit and Midjourney scrape data
Core Capabilities
- High-quality text-to-image generation
- 60% faster inference compared to SDXL
- Multi-resolution support for various aspect ratios
- Effective negative prompting with recommended CFG around 9.0
- Direct integration with popular frameworks and tools
Frequently Asked Questions
Q: What makes this model unique?
SSD-1B stands out due to its innovative knowledge distillation approach, which allows it to maintain SDXL-level quality while being significantly smaller and faster. It's the perfect balance between performance and efficiency.
Q: What are the recommended use cases?
The model excels in art and design creation, educational content generation, research applications, and safe content generation. It's particularly suitable for scenarios requiring rapid image generation without compromising on quality.
