ComfyUI > Nodes > ComfyUI-Fal-API-Flux > Fal API Flux with LoRA and ControlNet

ComfyUI Node: Fal API Flux with LoRA and ControlNet

Class Name

FalAPIFluxDevWithLoraAndControlNetNode

Category
image generation
Author
yhayano-ponotech (Account age: 828days)
Extension
ComfyUI-Fal-API-Flux
Latest Updated
2025-01-16
Github Stars
0.04K

How to Install ComfyUI-Fal-API-Flux

Install this extension via the ComfyUI Manager by searching for ComfyUI-Fal-API-Flux
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Fal-API-Flux 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.

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Fal API Flux with LoRA and ControlNet Description

Enhance image generation with LoRA and ControlNet integration for precise, customizable outputs.

Fal API Flux with LoRA and ControlNet:

The FalAPIFluxDevWithLoraAndControlNetNode is a powerful tool designed to enhance image generation by integrating the capabilities of LoRA (Low-Rank Adaptation) and ControlNet. This node allows you to leverage the flexibility and efficiency of LoRA configurations alongside the structured control provided by ControlNet, enabling more precise and customizable image outputs. By combining these technologies, the node offers a robust solution for generating high-quality images with specific stylistic and structural attributes. This integration is particularly beneficial for AI artists looking to experiment with different styles and control mechanisms, providing a seamless way to apply multiple LoRA configurations and control settings to achieve desired artistic effects.

Fal API Flux with LoRA and ControlNet Input Parameters:

lora_1

This parameter allows you to input a LoRA configuration, which is a set of instructions that modify the image generation process to achieve specific stylistic effects. The LoRA configuration includes a URL pointing to the LoRA file and a scale factor that determines the intensity of the effect. The scale can range from 0.1 to 2.0, with a default value of 1.0. Adjusting the scale allows you to fine-tune the influence of the LoRA on the final image.

lora_2

Similar to lora_1, this parameter accepts another LoRA configuration, enabling you to apply multiple stylistic modifications simultaneously. This flexibility allows for complex and layered artistic effects, enhancing the creative possibilities of the node.

lora_3

This parameter functions like lora_1 and lora_2, providing an additional slot for a LoRA configuration. By using multiple LoRA configurations, you can experiment with different combinations to achieve unique visual outcomes.

lora_4

As with the previous LoRA parameters, lora_4 allows for the inclusion of another LoRA configuration. This parameter further extends the node's capability to handle multiple stylistic influences, offering more control over the image generation process.

lora_5

This parameter is the fifth slot for a LoRA configuration, providing maximum flexibility in applying various stylistic effects. By utilizing all five LoRA parameters, you can create highly customized and intricate image styles.

controlnet_union

This parameter is used to input a ControlNet configuration, which includes a set of control images and settings that guide the structural aspects of the image generation. The control images are uploaded and their URLs are used in the process, along with control modes and conditioning scales that define how the control images influence the final output. This parameter allows for precise control over the composition and structure of the generated image.

Fal API Flux with LoRA and ControlNet Output Parameters:

loras

This output parameter provides a list of the LoRA configurations that were applied during the image generation process. It includes details such as the path to each LoRA file and the scale factor used, allowing you to review and adjust the configurations for future iterations.

controlnet_unions

This output parameter contains the ControlNet configurations that were utilized, including the paths to control images and their respective settings. This information is crucial for understanding how the control images influenced the final output and for making adjustments to achieve the desired results.

Fal API Flux with LoRA and ControlNet Usage Tips:

  • Experiment with different combinations of LoRA configurations to discover unique stylistic effects. Adjust the scale parameter to fine-tune the intensity of each effect.
  • Use the controlnet_union parameter to guide the structural aspects of your image. By carefully selecting control images and settings, you can achieve precise control over the composition and layout of the generated image.

Fal API Flux with LoRA and ControlNet Common Errors and Solutions:

Invalid LoRA URL

  • Explanation: This error occurs when the URL provided for a LoRA configuration is not valid or does not start with http:// or https://.
  • Solution: Ensure that the LoRA URL is correctly formatted and points to a valid location. Double-check the URL for typos or missing components.

Missing Control Image

  • Explanation: This error happens when a control image is not provided or cannot be uploaded successfully.
  • Solution: Verify that the control image is accessible and correctly uploaded. Check the file path and ensure the image format is supported.

Scale Out of Range

  • Explanation: This error indicates that the scale value for a LoRA configuration is outside the allowed range of 0.1 to 2.0.
  • Solution: Adjust the scale value to fall within the specified range. Use the default value of 1.0 if unsure of the appropriate scale.

Fal API Flux with LoRA and ControlNet Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-Fal-API-Flux
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