realvisxl-v3-multi-controlnet-lora
Maintainer: fofr
279
| Property | Value |
|---|---|
| Model Link | View on Replicate |
| API Spec | View on Replicate |
| Github Link | View on Github |
| Paper Link | View on Arxiv |
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Model overview
The realvisxl-v3-multi-controlnet-lora model is a powerful AI model developed by fofr that builds upon the RealVis XL V3 architecture. This model supports a range of advanced features, including img2img, inpainting, and the ability to use up to three simultaneous ControlNets with different input images. The model also includes custom Replicate LoRA loading, which allows for additional fine-tuning and optimization.
Similar models include the sdxl-controlnet-lora from batouresearch, which focuses on Canny ControlNet with LoRA support, and the controlnet-x-ip-adapter-realistic-vision-v5 from usamaehsan, which offers a range of inpainting and ControlNet capabilities.
Model inputs and outputs
The realvisxl-v3-multi-controlnet-lora model takes a variety of inputs, including an input image, a prompt, and optional mask and seed values. The model can also accept up to three ControlNet images, each with its own conditioning strength, start, and end controls.
Inputs
- Prompt: The text prompt that describes the desired image.
- Image: The input image for img2img or inpainting mode.
- Mask: The input mask for inpainting mode, where black areas will be preserved and white areas will be inpainted.
- Seed: The random seed value, which can be left blank to randomize.
- ControlNet 1, 2, and 3 Images: Up to three separate input images for the ControlNet conditioning.
- ControlNet Conditioning Scales, Starts, and Ends: Controls for adjusting the strength and timing of the ControlNet conditioning.
Outputs
- Generated Images: The model outputs one or more images based on the provided inputs.
Capabilities
The realvisxl-v3-multi-controlnet-lora model offers a wide range of capabilities, including high-quality img2img and inpainting, the ability to use multiple ControlNets simultaneously, and support for custom LoRA loading. This allows for a high degree of customization and fine-tuning to achieve desired results.
What can I use it for?
With its advanced features, the realvisxl-v3-multi-controlnet-lora model can be used for a variety of creative and practical applications. Artists and designers could use it to generate photorealistic images, experiment with different ControlNet combinations, or refine existing images. Businesses could leverage the model for tasks like product visualization, architectural rendering, or even custom content creation.
Things to try
One interesting aspect of the realvisxl-v3-multi-controlnet-lora model is the ability to use up to three ControlNets simultaneously. This allows users to explore the interplay between different visual cues, such as depth, edges, and body poses, to create unique and compelling images. Experimenting with the various ControlNet conditioning strengths, starts, and ends can lead to a wide range of stylistic and compositional outcomes.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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