Stable Diffusion v1.5 Archive
| Property | Value |
|---|---|
| Original Author | RunwayML |
| Archive Author | Comfy-Org |
| Model Format | SafeTensors (Original + FP16) |
| Release Year | 2022 |
What is stable-diffusion-v1-5-archive?
This is a carefully preserved archive of the original Stable Diffusion v1.5 model, originally hosted by RunwayML. While several generations behind current state-of-the-art models, it serves as an important historical checkpoint in the evolution of image generation AI. The archive includes both the original hash-identical model and an optimized FP16 version with added metadata headers.
Implementation Details
The archive contains two key implementations: the original v1-5-pruned-emaonly.safetensors file, which is identical to RunwayML's release, and a modified v1-5-pruned-emaonly-fp16.safetensors version optimized for modern workflows. The FP16 version offers reduced memory footprint while maintaining model integrity.
- Original model preserved with identical hash verification
- FP16 conversion available for optimized performance
- Complete metadata headers for enhanced compatibility
- Archived for historical and technical reference
Core Capabilities
- Text-to-image generation using 2022 SD v1.5 architecture
- Legacy testing and compatibility verification
- Benchmark comparisons with newer models
- Historical research and development reference
Frequently Asked Questions
Q: What makes this model unique?
This archive represents a crucial historical snapshot of Stable Diffusion technology, preserved exactly as it was released by RunwayML in 2022. Its significance lies in being a reference point for measuring progress in AI image generation and ensuring continued access for research and legacy applications.
Q: What are the recommended use cases?
The model is particularly valuable for technical research, legacy system compatibility testing, and historical comparisons. It's also useful for developers who need to maintain compatibility with older systems or conduct comparative analysis with newer models.
