material_stable_diffusion
Maintainer: tommoore515
386
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | No paper link provided |
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Model overview
material_stable_diffusion is a fork of the popular Stable Diffusion model, created by tommoore515, that is optimized for generating tileable outputs. This makes it well-suited for use in 3D applications such as Monaverse. Unlike the original stable-diffusion model, which is capable of generating photo-realistic images from any text input, material_stable_diffusion focuses on producing seamless, tileable textures and materials. Other similar models like material-diffusion and material-diffusion-sdxl also share this specialized focus.
Model inputs and outputs
material_stable_diffusion takes in a text prompt, an optional initial image, and several parameters to control the output, including the image size, number of outputs, and guidance scale. The model then generates one or more images that match the provided prompt and initial image (if used).
Inputs
- Prompt: The text description of the desired output image
- Init Image: An optional initial image to use as a starting point for the generation
- Mask: A black and white image used as a mask for inpainting over the init_image
- Seed: A random seed value to control the generation
- Width/Height: The desired size of the output image(s)
- Num Outputs: The number of images to generate
- Guidance Scale: The strength of the text guidance during the generation process
- Prompt Strength: The strength of the prompt when using an init image
- Num Inference Steps: The number of denoising steps to perform during generation
Outputs
- Output Image(s): One or more generated images that match the provided prompt and initial image (if used)
Capabilities
material_stable_diffusion is capable of generating high-quality, tileable textures and materials for use in 3D applications. The model's specialized focus on producing seamless outputs makes it a valuable tool for artists, designers, and 3D creators looking to quickly generate custom assets.
What can I use it for?
You can use material_stable_diffusion to generate a wide variety of tileable textures and materials, such as stone walls, wood patterns, fabrics, and more. These generated assets can be used in 3D modeling, game development, architectural visualization, and other creative applications that require high-quality, repeatable textures.
Things to try
One interesting aspect of material_stable_diffusion is its ability to generate variations on a theme. By adjusting the prompt, seed, and other parameters, you can explore different interpretations of the same general concept and find the perfect texture or material for your project. Additionally, the model's inpainting capabilities allow you to refine or edit the generated outputs, making it a versatile tool for 3D artists and designers.
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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