Anyline
A
Anyline
Overview :
Anyline is a ControlNet line preprocessor that can accurately extract object edges, image details, and text content from most images. Based on the innovative efforts of the "Tiny and Efficient Model for the Edge Detection Generalization (TEED)" paper, it is one of the most advanced visual algorithms currently available. Anyline, in combination with the Mistoline ControlNet model, forms a complete SDXL workflow, maximizing precise control and leveraging the generative capabilities of the SDXL model.
Target Users :
Anyline is suitable for designers, artists, and researchers who need to extract lines from images and generate high-quality images. Its high accuracy and detail retention capabilities make it widely applicable in image generation and editing.
Total Visits: 492.1M
Top Region: US(19.34%)
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Use Cases
Designers use Anyline to extract lines from complex scenes to create new artworks.
Researchers utilize Anyline for image analysis, extracting key information from images.
Artists use Anyline to transform real-world scenes into line drawings for unique visual creations.
Features
Precisely extract lines from images for generating high-quality images.
Combined with the Mistoline ControlNet model, it forms a complete SDXL workflow.
At a resolution of 1280px, Anyline exhibits a significant advantage over other line extraction preprocessors in terms of contour accuracy, object details, material textures, and font recognition.
Reduces noise in most scenarios, enabling cleaner image processing and minimizing inaccuracies in the generation process.
The Anyline plugin can be used as a ComfyUI plugin and integrated into ComfyUI through simple installation steps.
The Anyline model will download automatically on first use. If automatic download fails, it can be manually downloaded.
How to Use
Open in IDE and ComfyUI command line, ensuring the Python environment matches.
Navigate to the custom_nodes directory: cd custom_nodes.
Clone the repository, or manually download the repository and place it in the ComfyUI/custom_nodes directory: git clone https://github.com/TheMistoAI/ComfyUI-Anyline.git.
Navigate to the cloned directory: cd ComfyUI-Anyline.
Install dependencies: pip install -r requirements.txt.
The model will download automatically on first use. If automatic download fails, download manually from the HuggingFace Repo and place the .pth file in the specified directory.
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