Prompt Injection Node for ComfyUI
The Prompt Injection Node for ComfyUI is a powerful tool designed to enhance the capabilities of Stable Diffusion models by allowing users to inject specific prompts at designated blocks within the UNet architecture. This node leverages the understanding of content and style within different blocks to provide fine-tuned control over image generation.
Key Features:
- Inject Different Prompts: Flexibly inject varying prompts into specific UNet blocks to refine output.
- Node Variations: Offers three distinct node variations for customizable workflow integration.
- Learning Rate Customization: Tune learning rates for specific blocks to emphasize particular aspects like content, lighting, and style.
- Mix of Experts: Potential to create a dynamic setup that adjusts block usage based on incoming prompts.
Benefits:
- Enhanced Control: Achieve greater precision in output generation by targeting specific aspects of image composition.
- Flexibility: Adaptable workflow that integrates seamlessly into existing ComfyUI setups.
Highlights:
- Built on the principles from recent research on Stable Diffusion architectures.
- Open for contributions and feedback from the community, fostering collaboration and improvement.
Feel free to explore the code and contribute to further development!
