logos

Maintainer: profdl

Total Score

1

Last updated 5/17/2024
AI model preview image
PropertyValue
Model LinkView on Replicate
API SpecView on Replicate
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The logos model is a trained on logo designs, with a focus on black logos on white backgrounds. It is similar to models like background_remover, gfpgan, remove_bg, and sticker-maker in its ability to work with images and logos. The logos model was developed by profdl.

Model inputs and outputs

The logos model accepts a range of inputs, including an image, prompt, and various settings to control the output. The outputs are generated images.

Inputs

  • Image: Input image for img2img or inpaint mode
  • Prompt: Input prompt
  • Negative Prompt: Input Negative Prompt
  • Mask: Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
  • Width: Width of output image
  • Height: Height of output image
  • Num Outputs: Number of images to output.
  • Num Inference Steps: Number of denoising steps
  • Guidance Scale: Scale for classifier-free guidance
  • Prompt Strength: Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
  • Scheduler: Scheduler to use
  • Seed: Random seed. Leave blank to randomize the seed
  • Refine: Which refine style to use
  • Refine Steps: For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
  • High Noise Frac: For expert_ensemble_refiner, the fraction of noise to use
  • Lora Scale: LoRA additive scale. Only applicable on trained models.
  • Apply Watermark: Applies a watermark to enable determining if an image is generated in downstream applications.

Outputs

  • Output: An array of generated image URLs

Capabilities

The logos model is capable of generating high-quality logo designs, particularly for black logos on white backgrounds. It can be used for a variety of tasks, such as creating custom logos, modifying existing logos, or generating logos for new products or services.

What can I use it for?

The logos model can be used for a variety of applications, such as creating custom logos for businesses, modifying existing logos, or generating logos for new products or services. It could be useful for designers, marketers, or anyone who needs to create professional-looking logos quickly and efficiently.

Things to try

Some interesting things to try with the logos model include experimenting with different prompts and settings to see how they affect the generated logos, using the model to create variations on existing logos, or combining the logos model with other AI models like cog-a1111-ui to create more complex or stylized logo designs.



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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