Introduction:

• Repository: comfyanonymous/ComfyUI
• Description: The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

The ModelSamplingSD3 node is a part of the ComfyUI framework, designed for advanced control over model sampling techniques, particularly those related to Stable Diffusion. This node allows users to apply specific sampling shifts relevant to SD3 models, influencing the generation process.

ModelSamplingSD3 Introduction

The ModelSamplingSD3 node is designed to patch a model with specific sampling parameters tailored for Stable Diffusion 3 (SD3). It inherits from comfy.model_sampling.ModelSamplingDiscreteFlow and uses comfy.model_sampling.CONST as its sampling type. This node provides a way to fine-tune the sampling process by adjusting the shift and multiplier parameters, which affect the denoising process and the final output of the diffusion model.

ModelSamplingSD3 Input

The ModelSamplingSD3 node accepts the following inputs:

• model: A pre-loaded model in ComfyUI. This is the base model that will be patched with the specified sampling parameters.
• shift: A floating-point value that controls the sampling shift. It has a default value of 3.0, a minimum of 0.0, a maximum of 100.0, and a step size of 0.01. This parameter influences the sampling trajectory and can significantly affect the generated image.

ModelSamplingSD3 Output

The ModelSamplingSD3 node outputs a modified MODEL object. This modified model has been patched with the new sampling parameters, enabling the use of the specified shift value during the sampling process. Subsequent nodes in the ComfyUI workflow will use this patched model for image generation.

ModelSamplingSD3 Usage Tips

• Experiment with the shift value: The shift parameter is crucial for controlling the sampling process. Experiment with different values to achieve the desired aesthetic or to optimize the model for specific types of images.
• Understand the impact of multiplier: While the code shows a multiplier parameter, it's hardcoded to 1000. Future versions might expose this for user control, so be aware of its potential influence on the sampling.
• Combine with other advanced nodes: The ModelSamplingSD3 node can be combined with other advanced model nodes in ComfyUI to create complex and customized workflows. For example, you can use it in conjunction with nodes that control conditioning, denoising strength, and other sampling parameters.
• Consider AuraFlow alternative: For workflows utilizing AuraFlow, the ModelSamplingAuraFlow node offers similar functionality but with a multiplier of 1.0, making it tailored for that specific sampling approach.