This is a simplified guide to an AI model called Kolors-With-Ipadapter maintained by Fofr. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The kolors-with-ipadapter model is an extension of the Kolors text-to-image generation model, developed by fofr. It incorporates additional techniques, such as style transfer and composition transfer, to enhance the visual output. The model builds on the capabilities of the original Kolors model, expanding the range of visual effects and adaptations it can achieve.
Model inputs and outputs
The kolors-with-ipadapter model takes a variety of inputs, including a prompt, an image for reference, and various parameters to control the generation process. The outputs are high-quality images that reflect the input prompt and incorporate the desired visual effects.
Inputs
- Prompt: The text that describes the desired image
- Image: A reference image to guide the style or composition
- Cfg: The guidance scale, which determines the strength of the prompt
- Seed: A value to ensure reproducibility of the generated image
- Steps: The number of inference steps to perform
- Width/Height: The desired dimensions of the output image
- Sampler: The sampling algorithm to use
- Scheduler: The scheduler algorithm to use
- Output Format: The file format of the output image
- Output Quality: The quality level of the output image
- Negative Prompt: Things to exclude from the generated image
- Number of Images: The number of images to generate
- IP Adapter Weight: The strength of the IP Adapter technique
- IP Adapter Weight Type: The specific IP Adapter technique to use
Outputs
- The generated image(s) in the specified format and quality
Capabilities
The kolors-with-ipadapter model can ...
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