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Flux Controlnet Collections
The FLUX.1-dev ControlNet Collection provides three pre-trained models (Canny edge detection, HED edge-aware, Midas depth map), optimized for 1024x1024 resolution image generation.
Downloads 22.35k
Release Time : 8/13/2024
Model Overview
This model collection is developed based on FLUX.1-dev and includes three ControlNet checkpoints for text-to-image tasks, supporting high-quality image generation through different control methods.
Model Features
High-resolution support
All ControlNet models are trained at 1024x1024 resolution and optimized for this resolution.
Multi-control modes
Supports three control methods: edge detection (Canny), edge-aware (HED), and depth map (Midas), providing diverse image generation controls.
ComfyUI integration
Includes custom ComfyUI nodes and workflows for easy integration and usage.
Model Capabilities
Edge detection-based image generation
Depth map-based image generation
Edge-aware-based image generation
High-resolution image synthesis
Use Cases
Creative design
Concept art creation
Use depth map control to generate concept art with precise spatial relationships.
Generate scene images with realistic depth perception
Product design sketches
Utilize edge detection to preserve the line structure of original sketches while generating high-quality renderings.
Enhance visual effects while maintaining original design intent
Visual content generation
Scene reconstruction
Generate complex scenes based on simple edge maps or depth maps.
Quickly generate realistic scene images
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