du
Maintainer: visoar
1
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
du is an AI model developed by visoar. It is similar to other image generation models like GFPGAN, which focuses on face restoration, and Blip-2, which answers questions about images. du can generate images based on a text prompt.
Model inputs and outputs
du takes in a text prompt, an optional input image, and various parameters to control the output. The model then generates one or more images based on the given inputs.
Inputs
- Prompt: The text prompt describing the image to be generated.
- Image: An optional input image to be used for inpainting or image-to-image generation.
- Mask: An optional mask to specify the areas of the input image to be inpainted.
- Seed: A random seed value to control the image generation.
- Width and Height: The desired dimensions of the output image.
- Refine: The type of refinement to apply to the generated image.
- Scheduler: The scheduler algorithm to use for the image generation.
- LoRA Scale: The scale to apply to the LoRA weights.
- Number of Outputs: The number of images to generate.
- Refine Steps: The number of refinement steps to apply.
- Guidance Scale: The scale for classifier-free guidance.
- Apply Watermark: Whether to apply a watermark to the generated image.
- High Noise Frac: The fraction of high noise to use for the expert ensemble refiner.
- Negative Prompt: An optional negative prompt to guide the image generation.
- Prompt Strength: The strength of the prompt for image-to-image generation.
- Replicate Weights: LoRA weights to use for the image generation.
- Number of Inference Steps: The number of denoising steps to perform.
Outputs
- Image(s): The generated image(s) based on the provided inputs.
Capabilities
du can generate a wide variety of images based on text prompts. It can also perform inpainting, where it can fill in missing or corrupted areas of an input image.
What can I use it for?
You can use du to generate custom images for a variety of applications, such as:
- Creating illustrations or graphics for websites, social media, or marketing materials
- Generating concept art or visual ideas for creative projects
- Inpainting or restoring damaged or incomplete images
Things to try
Try experimenting with different prompts, input images, and parameter settings to see the range of images du can generate. You can also try using it in combination with other AI tools, like image editing software, to create unique and compelling visuals.
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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