ComfyUI > Nodes > Black Forest Labs API Nodes > FLUX 1.0 [pro] Finetuned

ComfyUI Node: FLUX 1.0 [pro] Finetuned

Class Name

FLUX 1.0 [pro] Finetuned

Category
Flux Finetuned
Author
Black Forest Labs (Account age: 354days)
Extension
Black Forest Labs API Nodes
Latest Updated
2025-02-07
Github Stars
0.06K

How to Install Black Forest Labs API Nodes

Install this extension via the ComfyUI Manager by searching for Black Forest Labs API Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Black Forest Labs API Nodes in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

FLUX 1.0 [pro] Finetuned Description

Sophisticated image generation node with fine-tuned models for precise control over visual styles and effects.

FLUX 1.0 [pro] Finetuned:

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.

FLUX 1.0 [pro] Finetuned Input Parameters:

prompt

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.

control_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.

finetune_id

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.

finetune_strength

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.

seed

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.

guidance

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.

steps

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.

prompt_upsampling

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.

safety_tolerance

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.

output_format

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.

FLUX 1.0 [pro] Finetuned Output Parameters:

image

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.

FLUX 1.0 [pro] Finetuned Usage Tips:

  • Experiment with different 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.
  • Use the 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.
  • Adjust the guidance parameter to balance between creative freedom and adherence to the prompt. Higher guidance values can help achieve more accurate representations of complex prompts.

FLUX 1.0 [pro] Finetuned Common Errors and Solutions:

"Invalid control image format"

  • Explanation: The control image provided is not in a supported format.
  • Solution: Ensure that the control image is in a standard image format such as JPEG or PNG before uploading.

"Finetune ID not recognized"

  • Explanation: The finetune ID entered does not match any available models.
  • Solution: Double-check the finetune ID for typos or errors, and ensure it corresponds to a valid model.

"Output format not supported"

  • Explanation: The specified output format is not recognized by the node.
  • Solution: Use a supported output format such as "jpeg" or "png" for the generated image.

FLUX 1.0 [pro] Finetuned Related Nodes

Go back to the extension to check out more related nodes.
Black Forest Labs API Nodes
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

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.