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Sophisticated image generation node with fine-tuned models for precise control over visual styles and effects.
FLUX 1.0 [pro] Finetuned is a sophisticated node designed to enhance image generation by leveraging fine-tuned models. This node is part of the Flux Finetuned category, which focuses on providing refined control over the image creation process. It allows you to input a prompt and a control image, along with a unique finetune ID, to guide the generation process more precisely. The node is particularly beneficial for artists looking to achieve specific visual styles or effects, as it offers a range of adjustable parameters that influence the output's appearance. By fine-tuning the model, this node aims to deliver high-quality, customized images that align closely with the user's creative vision.
The prompt
parameter is a string input that allows you to describe the desired outcome of the image generation process. It supports multiline text, enabling you to provide detailed descriptions or narratives that guide the model in creating the image. This parameter is crucial as it directly influences the thematic and stylistic elements of the generated image.
The control_image
parameter accepts an image input that serves as a reference or guide for the generation process. This image helps the model understand the visual context or style you wish to achieve, making it an essential component for fine-tuning the output to match specific artistic goals.
The finetune_id
is a string identifier that specifies the particular fine-tuned model to be used in the generation process. This parameter ensures that the node applies the correct model adjustments, allowing for more precise and tailored image outputs.
The finetune_strength
parameter is a float value that determines the intensity of the fine-tuning applied to the model. It ranges from 0.0 to 2.0, with a default value of 1.1. Adjusting this parameter can enhance or reduce the influence of the fine-tuning, affecting the final image's adherence to the specified style or theme.
The seed
parameter is an integer that sets the randomization seed for the generation process. It ranges from 0 to 4294967294, with a default value of 0. This parameter is useful for achieving consistent results across multiple runs, as it controls the randomness involved in the image creation.
The guidance
parameter is a float value that influences the model's adherence to the prompt. It ranges from 1.0 to 100, with a default value of 15.0. Higher values increase the model's focus on the prompt, potentially leading to more accurate representations of the described scene or concept.
The steps
parameter is an integer that defines the number of steps the model takes during the generation process. It ranges from 15 to 50, with a default value of 50. More steps can lead to higher-quality images, as the model has more opportunities to refine the output.
The prompt_upsampling
parameter is a boolean that determines whether the prompt should be upsampled. The default value is False. Enabling this option can enhance the detail and resolution of the generated image, particularly when working with complex or detailed prompts.
The safety_tolerance
parameter is an integer that sets the level of safety filtering applied to the output. It ranges from 0 to 6, with a default value of 2. This parameter helps ensure that the generated images adhere to content guidelines and avoid inappropriate or harmful content.
The output_format
parameter is a string that specifies the format of the generated image. The default value is "jpeg". This parameter allows you to choose the most suitable format for your needs, whether for web use, printing, or further editing.
The image
output parameter provides the final generated image based on the input parameters and the fine-tuned model. This image reflects the prompt, control image, and other settings, offering a customized visual output that aligns with your creative vision.
finetune_strength
values to see how they affect the style and detail of the generated image. A higher strength may result in more pronounced stylistic features.seed
parameter to reproduce specific results or explore variations by changing the seed value. This can be particularly useful for iterating on a design or concept.guidance
parameter to balance between creative freedom and adherence to the prompt. Higher guidance values can help achieve more accurate representations of complex prompts.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.