flux-koda
Maintainer: aramintak
1
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | No Github link provided |
| Paper link | View on Arxiv |
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Model overview
flux-koda is a Lora-based model created by Replicate user aramintak. It is part of the "Flux" series of models, which includes similar models like flux-cinestill, flux-dev-multi-lora, and flux-softserve-anime. These models are designed to produce images with a distinctive visual style by applying Lora techniques.
Model inputs and outputs
The flux-koda model accepts a variety of inputs, including the prompt, seed, aspect ratio, and guidance scale. The output is an array of image URLs, with the number of outputs determined by the "Num Outputs" parameter.
Inputs
- Prompt: The text prompt that describes the desired image.
- Seed: The random seed value used for reproducible image generation.
- Width/Height: The size of the generated image, in pixels.
- Aspect Ratio: The aspect ratio of the generated image, which can be set to a predefined value or to "custom" for arbitrary dimensions.
- Num Outputs: The number of images to generate, up to a maximum of 4.
- Guidance Scale: A parameter that controls the influence of the prompt on the generated image.
- Num Inference Steps: The number of steps used in the diffusion process to generate the image.
- Extra Lora: An additional Lora model to be combined with the primary model.
- Lora Scale: The strength of the primary Lora model.
- Extra Lora Scale: The strength of the additional Lora model.
Outputs
- Image URLs: An array of URLs pointing to the generated images.
Capabilities
The flux-koda model is capable of generating images with a unique visual style by combining the core Stable Diffusion model with Lora techniques. The resulting images often have a painterly, cinematic quality that is distinct from the output of more generic Stable Diffusion models.
What can I use it for?
The flux-koda model could be used for a variety of creative projects, such as generating concept art, illustrations, or background images for films, games, or other media. Its distinctive style could also be leveraged for branding, marketing, or advertising purposes. Additionally, the model's ability to generate multiple images at once could make it useful for rapid prototyping or experimentation.
Things to try
One interesting aspect of the flux-koda model is the ability to combine it with additional Lora models, as demonstrated by the flux-dev-multi-lora and flux-softserve-anime models. By experimenting with different Lora combinations, users may be able to create even more unique and compelling visual styles.
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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