controlnet-depth-sdxl-1.0
| Property | Value |
|---|---|
| License | Apache-2.0 |
| Pipeline Type | Text-to-Image |
| Downloads | 8,021 |
| Framework | Diffusers |
What is controlnet-depth-sdxl-1.0?
controlnet-depth-sdxl-1.0 is a specialized ControlNet model designed to work with Stable Diffusion XL (SDXL) for depth-aware image generation. It integrates both Zoe and Midas depth detection systems, allowing for precise control over image generation based on depth information.
Implementation Details
The model is implemented using the Diffusers library and requires PyTorch. It works in conjunction with SDXL base model and uses a specialized VAE (madebyollin/sdxl-vae-fp16-fix) for optimal performance. The implementation supports both ZoeDetector and MidasDetector for depth map generation, with the ability to randomly switch between them.
- Supports 1024x1024 resolution and compatible bucket resolutions
- Implements float16 precision for memory efficiency
- Uses EulerAncestralDiscreteScheduler for generation
- Includes configurable controlnet conditioning scale
Core Capabilities
- Dual depth detection support (Zoe and Midas)
- High-resolution image generation
- Integration with SDXL base model
- Custom prompt and negative prompt support
- Adjustable inference steps and conditioning scale
Frequently Asked Questions
Q: What makes this model unique?
This model stands out by combining SDXL's powerful image generation capabilities with advanced depth detection systems (Zoe and Midas), allowing for precise control over the spatial arrangement in generated images.
Q: What are the recommended use cases?
The model is ideal for scenarios requiring precise depth-aware image generation, such as architectural visualization, scene reconstruction, and creative applications where spatial depth control is crucial.
