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ComfyUI_TGate is the reference implementation for T-GATE, a tool designed to enhance user interface experiences. It integrates T-GATE functionalities into ComfyUI, providing advanced UI capabilities.
ComfyUI_TGate is an extension for the ComfyUI framework that integrates the T-GATE (Temporally Gating Attention to Accelerate Diffusion Model) technique. This extension is designed to enhance the performance of diffusion models by providing a significant speed boost of 10%-50% while maintaining the original composition of the generated images. Although there might be a slight reduction in image quality, the trade-off is often worth it for the performance gains.
T-GATE achieves this by optimizing the attention mechanism used in text-to-image diffusion models, making the inference process more efficient. This can be particularly beneficial for AI artists who work with large models and need faster generation times without compromising too much on the quality of their artwork.
ComfyUI_TGate works by leveraging the T-GATE technique, which involves caching and reusing attention outputs at specific time steps during the inference process. Here's a simplified explanation:
This is the primary node for applying the T-GATE technique.
Inputs:
model: The diffusion model loaded via Load Checkpoint
or other nodes.
Configuration Parameters:
start_at: Defines the percentage of steps at which T-GATE starts caching. Starting earlier increases performance but may reduce detail.
use_cpu_cache: If enabled, uses CPU for caching to avoid GPU out-of-memory (OOM) issues, though with some performance loss.
An advanced version of the TGate Apply node with additional customization options.
Inputs:
model: The diffusion model loaded via Load Checkpoint
or other nodes.
Configuration Parameters:
start_at: Similar to the basic node, defines when T-GATE starts caching.
only_cross_attention: Controls whether only cross-attention is cached. Disabling this may lead to more detail loss.
use_cpu_cache: Similar to the basic node, uses CPU for caching if needed.
self_attn_start_at: Defines when to start caching self-attention, applicable if only_cross_attention
is disabled.
This node is deprecated and will be removed in future versions. It has similar parameters to the advanced node but lacks some of the newer features.
ComfyUI_TGate supports various models, including:
TGate Apply
node.use_cpu_cache
parameter and introduced simplified and advanced nodes.TGate Apply
node.use_cpu_cache
parameter to offload caching to the CPU.start_at
parameter to start caching later in the process.only_cross_attention
is enabled to minimize detail loss.For additional resources, tutorials, and community support, consider the following:
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