Dreamlike Photoreal 2.0
| Property | Value |
|---|---|
| License | Modified CreativeML OpenRAIL-M |
| Downloads | 95,796 |
| Model Size | 2.13GB |
| Framework | Stable Diffusion |
What is dreamlike-photoreal-2.0?
Dreamlike Photoreal 2.0 is an advanced text-to-image model built on Stable Diffusion 1.5, specifically designed to generate highly photorealistic images. Developed by dreamlike.art, this model has been optimized for 768x768px resolution and shows exceptional performance with various aspect ratios.
Implementation Details
The model is implemented using the Diffusers library and can be easily integrated using the StableDiffusionPipeline. It supports both CKPT and Safetensors formats, with a model size of 2.13GB. The model is optimized for different resolutions including 768x768px, 640x896px, and can scale up to 1024x768px.
- Native resolution optimization at 768x768 pixels
- Supports multiple aspect ratios for portrait and landscape outputs
- Available in both CKPT and Safetensors formats
- Implements HuggingFace's Diffusers pipeline
Core Capabilities
- High-quality photorealistic image generation
- Enhanced performance with aspect ratio flexibility
- Specialized handling of portrait and landscape orientations
- Optimized for various composition types with "photo" prompt enhancement
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized focus on photorealistic output, with built-in optimization for different aspect ratios and enhanced performance when using the "photo" prompt modifier.
Q: What are the recommended use cases?
The model excels in generating photorealistic images, particularly for landscape and portrait photography. It's ideal for creating realistic scenes, architectural visualizations, and natural-looking compositions.
