ComfyUI  >  Nodes  >  ComfyUI-Prompter-fofrAI >  List sampler 🪴

ComfyUI Node: List sampler 🪴

Class Name

List sampler 🪴

Category
Prompter
Author
fofr (Account age: 5116 days)
Extension
ComfyUI-Prompter-fofrAI
Latest Updated
6/29/2024
Github Stars
0.0K

How to Install ComfyUI-Prompter-fofrAI

Install this extension via the ComfyUI Manager by searching for  ComfyUI-Prompter-fofrAI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Prompter-fofrAI 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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List sampler 🪴 Description

Facilitates AI art sampling with efficient management of techniques for unique results.

List sampler 🪴:

The List sampler 🪴 node is designed to facilitate the sampling process in AI art generation by providing a structured and efficient way to manage and execute various sampling techniques. This node is particularly useful for artists who want to experiment with different sampling methods to achieve unique and high-quality results. By leveraging the capabilities of the List sampler 🪴, you can easily switch between different samplers, adjust parameters, and fine-tune the sampling process to suit your creative needs. This node simplifies the complex task of sampling, making it more accessible and manageable for users without a deep technical background.

List sampler 🪴 Input Parameters:

model

The model parameter specifies the AI model to be used for sampling. This is a required parameter and ensures that the sampling process is aligned with the capabilities and characteristics of the chosen model.

seed

The seed parameter is an integer that sets the random seed for the sampling process. This allows for reproducibility of results. The default value is 0, with a minimum of 0 and a maximum of 0xffffffffffffffff.

steps

The steps parameter defines the number of steps to be taken during the sampling process. It controls the granularity and detail of the generated output. The default value is 20, with a minimum of 1 and a maximum of 10000.

cfg

The cfg parameter stands for "configuration" and is a floating-point value that influences the behavior of the sampling process. It has a default value of 8.0, with a range from 0.0 to 100.0, and can be adjusted in steps of 0.1, rounded to 0.01.

sampler_name

The sampler_name parameter allows you to select the specific sampler to be used from a predefined list of samplers. This enables you to experiment with different sampling techniques to achieve the desired artistic effect.

scheduler

The scheduler parameter specifies the scheduling method to be used during the sampling process. Different schedulers can impact the timing and sequence of the sampling steps, affecting the final output.

positive

The positive parameter is used to provide positive conditioning to the sampling process. This can guide the model towards generating outputs that align with the desired positive attributes.

negative

The negative parameter is used to provide negative conditioning to the sampling process. This can help in steering the model away from undesired attributes in the generated output.

latent_image

The latent_image parameter represents the latent image to be used as the starting point for the sampling process. This is a crucial input that influences the initial state of the sampling.

denoise

The denoise parameter is a floating-point value that controls the level of denoising applied during the sampling process. The default value is 1.0, with a range from 0.0 to 1.0, adjustable in steps of 0.01.

List sampler 🪴 Output Parameters:

LATENT

The LATENT output parameter represents the latent space representation of the sampled image. This output is crucial for further processing or for generating the final image from the latent representation.

List sampler 🪴 Usage Tips:

  • Experiment with different sampler_name and scheduler combinations to find the best sampling technique for your specific artistic needs.
  • Adjust the steps parameter to control the level of detail in the generated output. More steps can lead to finer details but may increase processing time.
  • Use the seed parameter to reproduce specific results, which is useful for iterative experimentation and refinement.
  • Fine-tune the cfg and denoise parameters to balance between creativity and noise reduction in the generated output.

List sampler 🪴 Common Errors and Solutions:

"Invalid model specified"

  • Explanation: The model parameter provided is not recognized or is incompatible with the sampling process.
  • Solution: Ensure that you are using a valid and supported model for the sampling process.

"Seed value out of range"

  • Explanation: The seed parameter value is outside the acceptable range.
  • Solution: Adjust the seed value to be within the range of 0 to 0xffffffffffffffff.

"Steps value out of range"

  • Explanation: The steps parameter value is outside the acceptable range.
  • Solution: Ensure that the steps value is between 1 and 10000.

"Invalid sampler name"

  • Explanation: The sampler_name parameter does not match any of the available samplers.
  • Solution: Verify that the sampler_name is correctly specified and matches one of the predefined samplers.

"Denoise value out of range"

  • Explanation: The denoise parameter value is outside the acceptable range.
  • Solution: Adjust the denoise value to be within the range of 0.0 to 1.0.

List sampler 🪴 Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-Prompter-fofrAI
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