OmnigenXL NSFW & SFW
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Pipeline | StableDiffusionXLPipeline |
| Downloads | 24,276 |
| Category | Text-to-Image Generation |
What is omnigenxl-nsfw-sfw?
OmnigenXL is an advanced text-to-image generation model built on the StableDiffusionXL architecture, capable of producing both safe-for-work and not-safe-for-work content. It specializes in creating ultra-realistic images with exceptional detail and quality, leveraging sophisticated diffusion techniques and safetensors implementation.
Implementation Details
The model is implemented through the ModelsLab API platform, offering straightforward integration via REST API calls. It supports various customization parameters including image dimensions, inference steps, and guidance scale, with default optimal settings for high-quality generation.
- Customizable image dimensions (default 512x512)
- Adjustable inference steps (recommended: 30)
- Guidance scale control (default: 7.5)
- Enhanced prompt processing capability
- Safety checker toggle option
- Multi-lingual support capability
Core Capabilities
- Ultra-realistic image generation
- Support for both NSFW and SFW content
- Advanced prompt processing with enhancement options
- Panorama and self-attention features
- Integration with custom embeddings and LoRA models
- Webhook support for automated workflows
Frequently Asked Questions
Q: What makes this model unique?
OmnigenXL stands out for its versatility in handling both NSFW and SFW content while maintaining ultra-realistic quality. Its integration with the ModelsLab API platform makes it accessible for developers while offering advanced features like prompt enhancement and custom embeddings.
Q: What are the recommended use cases?
The model is ideal for applications requiring high-quality image generation, including digital art creation, content generation, and professional visualization projects. Its dual NSFW/SFW capability makes it suitable for various content types while maintaining artistic quality and realism.
