SD3-Controlnet-Canny
| Property | Value |
|---|---|
| Author | InstantX |
| Framework | Diffusers |
| Model Format | Safetensors |
| Community Metrics | 112 likes, 1110 downloads |
What is SD3-Controlnet-Canny?
SD3-Controlnet-Canny is a specialized controlnet model designed to work with Stable Diffusion 3, focusing on canny edge detection for precise image generation control. This model enables users to maintain structural fidelity while generating images, with adjustable conditioning scales from 0.0 to 0.9.
Implementation Details
The model is implemented using the Diffusers library (requiring version ≥0.30.0.dev0) and is optimized specifically for 1024x1024 pixel resolution. It utilizes the StableDiffusion3ControlNetPipeline architecture and can be easily integrated with the stable-diffusion-3-medium-diffusers base model.
- Optimized for 1024x1024 resolution
- Compatible with Stable Diffusion 3
- Supports variable conditioning scales
- Implements Canny edge detection control
Core Capabilities
- Edge-aware image generation control
- Flexible weight adjustment (0.0-0.9)
- High-resolution optimization
- Seamless integration with SD3 pipeline
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in providing precise control over image generation through canny edge detection, specifically optimized for SD3 and high-resolution outputs.
Q: What are the recommended use cases?
The model is ideal for applications requiring structural control in image generation, particularly at 1024x1024 resolution. It's especially useful for maintaining specific edge details while generating creative variations.
Q: Are there any limitations?
The model performs optimally at 1024x1024 resolution, with other resolutions potentially yielding suboptimal results due to training constraints.
