ComfyUI Node: Runware Lora

Class Name

Runware Lora Search

Category
Runware
Author
Runware Inc. (Account age: 457days)
Extension
Runware.ai ComfyUI Inference API Integration
Latest Updated
2025-03-04
Github Stars
0.05K

How to Install Runware.ai ComfyUI Inference API Integration

Install this extension via the ComfyUI Manager by searching for Runware.ai ComfyUI Inference API Integration
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Runware.ai ComfyUI Inference API Integration 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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Runware Lora Description

Facilitates selection and application of LoRA models in ComfyUI, streamlining model search and integration for image generation.

Runware Lora:

The Runware Lora Search node is designed to facilitate the selection and application of LoRA (Low-Rank Adaptation) models within the ComfyUI environment. This node allows you to search for specific LoRA models by name or Civit AIR code, making it easier to find and utilize the right model for your creative projects. By integrating seamlessly with Runware Inference Nodes, it enhances the flexibility and efficiency of your workflow, enabling you to fine-tune the influence of LoRA models on image generation. The node's primary goal is to streamline the process of identifying and applying LoRA models, thereby improving the quality and specificity of generated images.

Runware Lora Input Parameters:

This parameter allows you to search for a specific LoRA model by its name or Civit AIR code, such as "Cyberpunk". It helps in narrowing down the list of available models to those that match your search criteria, making it easier to find the desired model quickly.

Model Architecture

This parameter provides a list of model architectures to filter the search results. Options include "All", "FLUX.1-Schnell", "FLUX.1-Dev", "Pony", "SD 1.5", "SD 1.5 Hyper", "SD 1.5 LCM", "SD 3", "SDXL 1.0", "SDXL 1.0 LCM", "SDXL Distilled", "SDXL Hyper", "SDXL Lightning", and "SDXL Turbo". The default is "All", which means no filtering by architecture. Selecting a specific architecture helps in focusing the search on models compatible with your chosen framework.

LoraType

This parameter allows you to filter the results by the type of LoRA model, with options being "Lora" and "LyCORIS". The default is "Lora". This helps in distinguishing between different types of LoRA models, ensuring that you select the one that best fits your needs.

LoraList

This parameter displays the list of available LoRA models, such as "civitai:58390@62833 (Detail Tweaker LoRA (细节调整LoRA))". It serves as a selection list from which you can choose the desired model. The default selection is "civitai:58390@62833 (Detail Tweaker LoRA (细节调整LoRA))".

weight

This parameter defines the strength or influence of the selected LoRA model in the image generation process. It is a float value with a default of 1.0, a minimum of -4.0, and a maximum of 4.0, with increments of 0.1. Adjusting this value allows you to control how much the LoRA model affects the final output, enabling fine-tuning of the generated images.

Runware Lora Output Parameters:

Runware Lora

The output parameter "Runware Lora" provides a dictionary containing the selected LoRA model's code and its weight. This output is crucial for connecting to other nodes in the ComfyUI pipeline, as it carries the necessary information to apply the chosen LoRA model with the specified influence on the image generation process.

Runware Lora Usage Tips:

  • Use the "Lora Search" parameter to quickly locate specific models by name or code, which can save time when working with large collections of LoRA models.
  • Adjust the "weight" parameter to experiment with different levels of influence from the LoRA model, allowing you to achieve the desired artistic effect in your generated images.

Runware Lora Common Errors and Solutions:

Model Not Found

  • Explanation: This error occurs when the specified LoRA model cannot be found in the list.
  • Solution: Ensure that the model name or Civit AIR code is entered correctly and matches one of the available models in the "LoraList".

Invalid Weight Value

  • Explanation: This error arises when the weight value is set outside the allowed range.
  • Solution: Adjust the weight parameter to be within the range of -4.0 to 4.0, using increments of 0.1.

Unsupported Model Architecture

  • Explanation: This error happens when a selected model architecture is not compatible with the available LoRA models.
  • Solution: Verify that the chosen model architecture is supported by the selected LoRA model and adjust the "Model Architecture" parameter accordingly.

Runware Lora Related Nodes

Go back to the extension to check out more related nodes.
Runware.ai ComfyUI Inference API Integration
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