ComfyUI  >  Nodes  >  ComfyUI-Flowty-CRM >  CRM Pose Sampler

ComfyUI Node: CRM Pose Sampler

Class Name


Flowty CRM
flowtyone (Account age: 271 days)
Latest Updated
Github Stars

How to Install ComfyUI-Flowty-CRM

Install this extension via the ComfyUI Manager by searching for  ComfyUI-Flowty-CRM
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Flowty-CRM 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
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

CRM Pose Sampler Description

Facilitates pose sampling for AI art generation, enhancing creative workflows with accurate results.

CRM Pose Sampler:

The CRMPoseSampler node is designed to facilitate the sampling process in AI art generation, specifically focusing on pose sampling. This node is particularly useful for artists who want to generate images with specific poses, ensuring that the generated art adheres to the desired pose configurations. By leveraging advanced sampling techniques, the CRMPoseSampler helps in achieving more accurate and visually appealing results, making it an essential tool for AI artists looking to enhance their creative workflows. The primary goal of this node is to provide a seamless and efficient way to incorporate pose-specific sampling into your art generation process, thereby expanding the creative possibilities and ensuring high-quality outputs.

CRM Pose Sampler Input Parameters:


The solver_type parameter determines the type of solver used for the sampling process. It offers options such as midpoint and heun, each providing different methods for solving the sampling equations. The choice of solver can impact the accuracy and quality of the generated poses. The available options are ['midpoint', 'heun'].


The eta parameter controls the noise level in the sampling process. It is a floating-point value that can range from 0.0 to 100.0, with a default value of 1.0. Adjusting this parameter can influence the randomness and variability in the generated poses, allowing for more or less variation as needed. The step size for adjustments is 0.01.


The s_noise parameter specifies the scale of the noise applied during sampling. Similar to eta, it is a floating-point value ranging from 0.0 to 100.0, with a default value of 1.0. This parameter helps in fine-tuning the noise characteristics, thereby affecting the final pose quality. The step size for adjustments is 0.01.


The noise_device parameter allows you to select the device on which the noise calculations will be performed. The available options are ['gpu', 'cpu']. Choosing the appropriate device can impact the performance and speed of the sampling process, with GPUs generally offering faster computations.

CRM Pose Sampler Output Parameters:


The SAMPLER output parameter represents the configured sampler object that is used to generate poses based on the specified input parameters. This output is crucial as it encapsulates all the settings and configurations needed to perform the pose sampling, ensuring that the generated poses adhere to the desired specifications.

CRM Pose Sampler Usage Tips:

  • Experiment with different solver_type options to see which one produces the best results for your specific use case. The midpoint solver might offer different characteristics compared to the heun solver.
  • Adjust the eta and s_noise parameters incrementally to fine-tune the noise levels and achieve the desired variability in your generated poses. Small changes can have a significant impact on the final output.
  • Utilize the noise_device parameter to optimize performance. If you have access to a GPU, selecting gpu can speed up the sampling process significantly compared to using a CPU.

CRM Pose Sampler Common Errors and Solutions:

"Invalid solver_type selected"

  • Explanation: This error occurs when an unsupported solver type is chosen.
  • Solution: Ensure that the solver_type parameter is set to either midpoint or heun.

"eta value out of range"

  • Explanation: This error indicates that the eta parameter is set outside the allowable range of 0.0 to 100.0.
  • Solution: Adjust the eta value to be within the specified range, ensuring it is between 0.0 and 100.0.

"s_noise value out of range"

  • Explanation: This error occurs when the s_noise parameter is set outside the allowable range of 0.0 to 100.0.
  • Solution: Adjust the s_noise value to be within the specified range, ensuring it is between 0.0 and 100.0.

"Unsupported noise_device selected"

  • Explanation: This error indicates that an unsupported device type is chosen for the noise_device parameter.
  • Solution: Ensure that the noise_device parameter is set to either gpu or cpu.

CRM Pose Sampler Related Nodes

Go back to the extension to check out more related nodes.

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.