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Flux Dev Controlnet Fill1k
ControlNet weights trained on the FLUX.1-dev model, featuring a novel conditional control mechanism for text-to-image generation tasks
Downloads 49
Release Time : 10/2/2024
Model Overview
This model is a ControlNet weight trained on the black-forest-labs/FLUX.1-dev model, primarily used for text-to-image generation tasks, supporting ControlNet and diffuser training.
Model Features
Novel Conditional Control Mechanism
Utilizes an advanced conditional control mechanism to enhance the precision and controllability of image generation.
Based on FLUX.1-dev Model
Trained on the powerful FLUX.1-dev base model, inheriting its excellent image generation capabilities.
ControlNet Support
Supports ControlNet functionality, providing more flexible control over image generation.
Model Capabilities
Text-to-Image Generation
Image Conditional Control
Diffusion Model Training
Use Cases
Creative Design
Concept Art Generation
Generate concept art images based on text descriptions.
Produces high-quality concept artworks.
Product Design Visualization
Quickly visualize product design concepts through text descriptions.
Accelerates the design iteration process.
Content Creation
Social Media Content Generation
Generate engaging visual content for social media platforms.
Quickly creates diverse visual materials.
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