Introducing FLUX ControlNet V3
FLUX ControlNet V3 has been released, bringing several significant updates, including online LoRA training and low VRAM integration, making image generation more efficient and convenient.
Key Updates in ControlNet V3
Online LoRA Training
Users can now train their own LoRA models online on the fal.ai platform and share them via links. This greatly enhances the flexibility and personalization of the models.
Low VRAM Integration
The ControlNet V3 version has been optimized to adapt to low VRAM environments, allowing more users to utilize these powerful image generation models even with limited hardware resources.
Enhanced Performance
The V3 version has seen a significant improvement in performance, generating more realistic images with richer details.
Unified Resolution
Starting from the V3 version, ControlNet is trained and applied at a resolution of 1024x1024, improving the overall image quality.
How to Use ControlNet V3
Install ComfyUI Plugin
To use ControlNet V3, you need to download and install the x-flux-comfyui plugin.
Model Placement
Place the ControlNet V3 model in the ComfyUI/models/xlabs/controlnets directory. If these directories do not exist in your local environment, you can create them manually.
Application Scenarios and Examples of ControlNet V3
Application Scenarios
ControlNet V3 is suitable for various scenarios such as depth map control and line drawing control, enabling the generation of images with specific depth or fine control over character generation.
Example Effects
By using ControlNet V3, users can generate highly detailed images, such as ultra-detailed metal parts and skin textures, as well as images in various styles, from cyberpunk to fairy tale.
ControlNet V3 in the FLUX.1 Ecosystem
FLUX.1 Ecosystem Support
ControlNet V3 is part of the FLUX.1 ecosystem, compatible with other models and tools in FLUX.1. It supports online training and low VRAM integration, further enriching the application scenarios and possibilities of FLUX.1.
With these updates, FLUX ControlNet V3 not only enhances the effect of image generation but also makes it easier for more users to get started through online training and low VRAM integration, further promoting the popularity and development of AI art creation.