Dreamlike Photoreal 1.0
| Property | Value |
|---|---|
| License | Modified CreativeML OpenRAIL-M |
| Framework | Diffusers |
| Language | English |
| Downloads | 123 |
What is dreamlike-photoreal-1.0?
Dreamlike Photoreal 1.0 is a specialized fine-tuned version of Stable Diffusion 1.5, developed by dreamlike.art to generate highly photorealistic images. While now superseded by version 2.0, this model represents a significant milestone in photorealistic AI image generation, offering enhanced capabilities for various aspect ratios and compatibility with danbooru-style tags.
Implementation Details
The model is implemented using the Hugging Face Diffusers library and can be easily integrated into Python workflows. It supports both CUDA acceleration and float16 precision for optimal performance. The model file size is approximately 2.13GB and can be used with the standard StableDiffusionPipeline.
- Supports multiple aspect ratios (3:4, 9:16, 16:9)
- Compatible with standard SD 1.5 prompts
- Implements danbooru-style character tags
- Available in both checkpoint and diffusers format
Core Capabilities
- High-quality photorealistic image generation
- Optimized performance for portrait and landscape orientations
- Seamless integration with existing Stable Diffusion workflows
- Support for complex character descriptions using danbooru tags
Frequently Asked Questions
Q: What makes this model unique?
The model's primary strength lies in its ability to generate highly photorealistic images while maintaining compatibility with both standard SD 1.5 prompts and danbooru-style tags, offering versatility in various use cases.
Q: What are the recommended use cases?
The model excels in generating portrait photos (using 3:4 or 9:16 aspect ratios) and landscape photos (using 16:9 aspect ratio). It's particularly suitable for creating realistic photographs with specific character attributes.
