ComfyUI Node: FLUX 1.0 [canny] Finetuned

FLUX 1.0 [canny] Finetuned:

FLUX 1.0 [canny] Finetuned is a specialized node designed to enhance image generation by leveraging the Canny edge detection method, which is particularly useful for creating detailed and structured images. This node is part of the Flux Finetuned series, which means it has been optimized to provide more precise and refined outputs based on specific user inputs. The primary goal of this node is to allow users to input a control image and a descriptive prompt, which it then uses to generate an image that aligns with the given prompt while maintaining the structural integrity of the control image. This makes it an excellent tool for artists looking to create images with a high level of detail and accuracy, as it combines the strengths of edge detection with advanced image generation techniques.

FLUX 1.0 [canny] Finetuned Input Parameters:

prompt

The prompt parameter is a required input that allows you to provide a textual description of the image you wish to generate. This description guides the node in creating an image that aligns with your vision. The prompt can be multiline, enabling you to include detailed descriptions. There is no specific minimum or maximum length, but more detailed prompts can lead to more accurate results.

control_image

The control_image parameter is a required input that accepts an image file. This image serves as a structural guide for the node, helping it to maintain the edges and outlines present in the original image while generating the new image based on the prompt. This parameter is crucial for ensuring that the generated image retains the desired structure and detail.

finetune_id

The finetune_id parameter is a required string input that identifies the specific finetuning model to be used. This allows the node to apply the appropriate finetuning adjustments to enhance the image generation process. The finetune_id should be a single-line string.

finetune_strength

The finetune_strength parameter is an optional float input that controls the intensity of the finetuning applied to the image generation process. It ranges from 0.0 to 2.0, with a default value of 1.1. Adjusting this parameter can help you achieve the desired level of detail and refinement in the generated image.

seed

The seed parameter is an optional integer input that sets the random seed for the image generation process. This allows for reproducibility of results. The seed value ranges from 0 to 4294967294, with a default value of 0. Using the same seed with the same inputs will produce the same output, which is useful for experimentation and comparison.

guidance

The guidance parameter is an optional float input that influences how closely the generated image should adhere to the prompt. It ranges from 1.0 to 100, with a default value of 30.0. Higher values result in images that more closely match the prompt, while lower values allow for more creative freedom.

steps

The steps parameter is an optional integer input that determines the number of steps the node will take during the image generation process. It ranges from 15 to 50, with a default value of 50. More steps can lead to higher quality images but may increase processing time.

prompt_upsampling

The prompt_upsampling parameter is an optional boolean input that, when enabled, allows for upsampling of the prompt, potentially enhancing the detail and resolution of the generated image. The default value is False.

safety_tolerance

The safety_tolerance parameter is an optional integer input that sets the level of safety filtering applied to the generated image. It ranges from 0 to 6, with a default value of 2. This parameter helps ensure that the generated content adheres to safety guidelines.

output_format

The output_format parameter is an optional string input that specifies the format of the output image. The default value is "jpeg". You can choose other formats if needed, depending on your requirements for image quality and compatibility.

FLUX 1.0 [canny] Finetuned Output Parameters:

image

The image output parameter provides the final generated image based on the input prompt and control image. This image is the result of the node's processing and reflects the specified finetuning and guidance settings. The output format is determined by the output_format parameter, allowing for flexibility in how the image is saved and used.

FLUX 1.0 [canny] Finetuned Usage Tips:

• Experiment with different finetune_strength values to find the right balance between detail and creativity in your images.
• Use a consistent seed value when testing different prompts to ensure comparability of results.
• Adjust the guidance parameter to control how closely the generated image should follow the prompt, which can be useful for achieving specific artistic effects.

FLUX 1.0 [canny] Finetuned Common Errors and Solutions:

Error: "Invalid control image format"

• Explanation: This error occurs when 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.

Error: "Prompt is too long"

• Explanation: The prompt provided exceeds the maximum length allowed by the system.
• Solution: Shorten the prompt to fit within the system's constraints, focusing on the most important details.

Error: "Finetune ID not recognized"

• Explanation: The finetune_id provided does not match any available finetuning models.
• Solution: Verify that the finetune_id is correct and corresponds to an existing model.