sd15-cog
Maintainer: dazaleas
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
sd15-cog is a Stable Diffusion 1.5 inference model created by dazaleas. It includes several models and is designed for generating high-quality images. This model is similar to other Stable Diffusion models like ssd-lora-inference, cog-a1111-ui, and turbo-enigma, which also focus on text-to-image generation.
Model inputs and outputs
The sd15-cog model accepts a variety of inputs to customize the image generation process. These include the prompt, seed, steps, width, height, cfg scale, and more. The model outputs an array of image URLs.
Inputs
- vae: The vae to use
- seed: The seed used when generating, set to -1 for random seed
- model: The model to use
- steps: The steps when generating
- width: The width of the image
- height: The height of the image
- prompt: The prompt
- hr_scale: The scale to resize
- cfg_scale: CFG Scale defines how much attention the model pays to the prompt when generating
- enable_hr: Generate high resoultion version
- batch_size: Number of images to generate (1-4)
- hr_upscaler: The upscaler to use when performing second pass
- sampler_name: The sampler used when generating
- negative_prompt: The negative prompt (For things you don't want)
- denoising_strength: The strength when applying denoising
- hr_second_pass_steps: The steps when performing second pass
Outputs
- An array of image URLs
Capabilities
The sd15-cog model can generate high-quality, photorealistic images from text prompts. It supports a variety of customization options to fine-tune the output, such as adjusting the resolution, sampling method, and denoising strength.
What can I use it for?
You can use sd15-cog to create custom illustrations, portraits, and other images for a variety of applications, such as marketing materials, product designs, and social media content. The model's ability to generate diverse and realistic images makes it a powerful tool for creative professionals and hobbyists alike.
Things to try
Try experimenting with different prompts, sampling methods, and other settings to see how they affect the output. You can also explore the model's ability to generate images with specific styles or themes by adjusting the prompt and other parameters.
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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