The Skimmed CFG is a powerful tool designed to give you greater flexibility and control over CFG scales for latent diffusion models in ComfyUI. This guide will walk you through the steps to effectively use Skimmed CFG, detailing its unique nodes and giving you troubleshoots along the way.
Getting Started with Skimmed CFG
To begin utilizing Skimmed CFG, you’ll need to plug it in right after the model loader. This process is consistent across all four nodes involved.
Skimmed CFG Node Plug-in ExampleUnderstanding the Nodes
The Skimmed CFG consists of several nodes, each performing specific functions:
- Skimmed CFG: The first iteration designed to work effortlessly.
- Skimmed CFG – Replace: This node nullifies values targeted by the filter, effectively scaling down to an equivalent value of 1.
- Skimmed CFG – Linear Interpolation: Rather than replacing, it performs a linear interpolation between the values. This option is highly recommended for smooth results!
- Skimmed CFG – Linear Interpolation Dual Scales: Provides two scales, positive and negative, where the former promotes higher saturation and the latter does the opposite.
- Skimmed CFG – Difference CFG: Works based on scale changes to regain balance with values that exceed limits.
- Skimmed CFG – Timed Flip: Used with standard scales, this enhances randomness and overall image quality.
Special Options
In addition to the set nodes, the first node contains two special options:
- full_skim_negative: Skims certain portions of conflicting influences completely.
- disable_flipping_filter: Grants more control over the skimming CFG; it’s especially useful with the full_skim_negative toggle activated.
Side Effects and Tips
While using Skimmed CFG, you may observe several side effects:
- Improved prompt adherence
- Sharper images
- Increased randomness with diminished conflicts between positive and negative predictions
- Occasional issues, like fused fingers resulting from low skimming and step counts
Helpful Tips:
- The skimming scale indicates how much you prefer your images “burned”. The recommended scale ranges from 2 to 7, depending on desired effects.
- SDE samplers are still prone to some burning, particularly with low step counts.
- Low skimming scales sometimes necessitate more steps, so consider this while adjusting.
- For optimal results, it’s advisable to use a good negative prompt that captures the desired style.
Troubleshooting Your Skimmed CFG Experience
If you encounter difficulties while using the Skimmed CFG, consider the following troubleshooting ideas:
- Ensure the correct nodes are plugged in after the model loader.
- Experiment with different skimming scales to see which works best for your project.
- If you notice any artifacts, adjust the timestep using the node named Support empty uncond after the skimmed CFG node and set the percentage at approximately 65%.
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Conclusion
Skimmed CFG offers a sophisticated way to manage CFG scales for improved image generation. By understanding the function of each node and making appropriate adjustments, you can create stunning visuals tailored to your needs. At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.