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Enhance AI art generation with multiple image prompts for model enrichment and creative alignment.
The Fooocus ApplyImagePrompt node is designed to enhance your AI art generation process by allowing you to apply multiple image prompts to a model. This node is particularly useful for artists who want to incorporate specific visual elements or styles into their generated images. By using this node, you can seamlessly integrate up to four different image prompts into your model, thereby enriching the creative possibilities and ensuring that the generated output aligns closely with your artistic vision. The primary function of this node is to take an existing model and patch it with the provided image prompts, resulting in a new model that is influenced by these visual cues.
This parameter represents the base model that you want to enhance with image prompts. The model serves as the foundation upon which the image prompts will be applied, allowing for the generation of images that incorporate the visual elements specified in the prompts.
This optional parameter allows you to specify the first image prompt. The image prompt serves as a visual guide that influences the model's output. If provided, it will be included in the list of image prompts applied to the model.
This optional parameter allows you to specify the second image prompt. Similar to image_prompt_1, this prompt will be used to further guide the model's output, adding another layer of visual influence.
This optional parameter allows you to specify the third image prompt. Including this prompt will provide additional visual cues to the model, enhancing the diversity and richness of the generated images.
This optional parameter allows you to specify the fourth image prompt. By adding this prompt, you can maximize the visual influence on the model, ensuring that the generated images closely match your artistic intent.
The output parameter is the new model that has been patched with the provided image prompts. This enhanced model incorporates the visual elements specified in the image prompts, allowing for the generation of images that are influenced by these cues. The output model retains the original model's capabilities while integrating the additional visual guidance from the image prompts.
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