t2i-adapter-sdxl-depth-midas
Maintainer: adirik
239
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | View on Arxiv |
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Model overview
The t2i-adapter-sdxl-depth-midas model is a text-to-image diffusion model that allows users to modify images using depth maps. It is an implementation of the T2I-Adapter-SDXL model, developed by TencentARC and the Diffuser team. This model is part of a series of similar models created by adirik, including t2i-adapter-sdxl-sketch, t2i-adapter-sdxl-lineart, and t2i-adapter-sdxl-openpose, each with their own unique capabilities.
Model inputs and outputs
The t2i-adapter-sdxl-depth-midas model takes several inputs, including an image, a prompt, a scheduler, the number of samples to generate, a random seed, a guidance scale, a negative prompt, the number of inference steps, an adapter conditioning scale, and an adapter conditioning factor. The model then generates an array of output images based on the provided inputs.
Inputs
- Image: The input image to be modified.
- Prompt: The text prompt that describes the desired output image.
- Scheduler: The scheduler to use for the diffusion process.
- Num Samples: The number of output images to generate.
- Random Seed: A random seed for reproducibility.
- Guidance Scale: The scale to match the prompt.
- Negative Prompt: Specify things to not see in the output.
- Num Inference Steps: The number of diffusion steps.
- Adapter Conditioning Scale: The conditioning scale for the adapter.
- Adapter Conditioning Factor: The factor to scale the image by.
Outputs
- Output: An array of generated output images.
Capabilities
The t2i-adapter-sdxl-depth-midas model is capable of modifying images using depth maps, allowing users to create unique and visually striking outputs. By leveraging the T2I-Adapter-SDXL architecture, this model can generate images that closely match the provided prompt while incorporating the depth information from the input image.
What can I use it for?
The t2i-adapter-sdxl-depth-midas model can be used for a variety of creative applications, such as generating concept art, visualizing 3D scenes, or enhancing existing images. For example, you could use this model to create fantastical landscapes, surreal scenes, or even to modify portraits by adding depth-based effects. Additionally, adirik's other models, such as t2i-adapter-sdxl-sketch, t2i-adapter-sdxl-lineart, and t2i-adapter-sdxl-openpose, offer even more possibilities for image manipulation and transformation.
Things to try
One interesting thing to try with the t2i-adapter-sdxl-depth-midas model is to use it in combination with other image processing techniques, such as segmentation or edge detection. By layering different types of visual information, you can create truly unique and unexpected results. Additionally, experimenting with different prompts and input images can lead to a wide range of creative outcomes, from surreal to photorealistic.
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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