ControlNet Pose vs Onlyfakes HuggingFace
Side-by-side comparison · Updated April 2026
| Description | The 'jagilley/controlnet-pose' model is designed to modify images containing humans through advanced pose detection. This publicly visible model, operated by jagilley, has completed 170K runs and offers creators robust tools to enhance their digital imagery, ensuring refined results like avoiding bad anatomy and low resolution. It's suitable for creating high-quality, extremely detailed art, such as digital renditions of astronauts. | Realistic-Vision-v4 is a powerful AI model available on Hugging Face, developed by Onlyfake. This text-to-image model leverages advanced technologies such as Diffusers and StableDiffusionPipeline to generate highly realistic images from textual descriptions. Designed to work with Safetensors, this model is optimized for both high-quality image generation and safetensor output, ensuring a wide range of applications from creative projects to professional use. Users can refine their outputs using specific negative prompts and generation parameters for the best results. |
| Category | Image Editing | Image Generation |
| Rating | No reviews | No reviews |
| Pricing | N/A | N/A |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | AI ModelPose DetectionImage ManipulationImage Enhancement | AIimage generationtext-to-imageDiffusersStableDiffusionPipeline |
| Features | ||
| Advanced pose detection | ||
| High-quality image output | ||
| Avoids common image flaws (e.g., bad anatomy, low resolution) | ||
| Public visibility | ||
| Operated by jagilley | ||
| Completed 170K runs | ||
| Supports 512x512 resolution | ||
| Detailed digital art creation | ||
| Live examples in the playground | ||
| API and version options | ||
| Text-to-Image generation | ||
| Safetensors support | ||
| Advanced Diffusers technology | ||
| StableDiffusionPipeline | ||
| High customization with negative prompts | ||
| Optimized for high-quality images | ||
| Suitable for both creative and professional use | ||
| Supports various generation parameters | ||
| CreativeML-openrail-m license | ||
| Inference Endpoints available | ||
| View ControlNet Pose | View Onlyfakes HuggingFace | |
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