Explore XLabs FLUX IPAdapter V2 model compared to V1 for your creative goals.

Stable Diffusion 3.5

Stable Diffusion 3.5 (SD3.5) for high-quality, diverse image generation.

Flux Upscaler - Ultimate 32k | Image Upscaler

Flux Upscaler – Achieve 4k, 8k, 16k, and Ultimate 32k Resolution!

Flux Consistent Characters | Input Text

Create consistent characters and ensure they look uniform by inputting text.

ComfyUI > Nodes > ComfyUI-AutomaticCFG > Automatic CFG - Unpatch function(Deprecated)

ComfyUI Node: Automatic CFG - Unpatch function(Deprecated)

Class Name

Automatic CFG - Unpatch function

Category
model_patches/Automatic_CFG/utils

Author
Extraltodeus (Account age: 3201days)Extension
ComfyUI-AutomaticCFGLatest Updated
2024-08-04Github Stars
0.32K

Github Ask Extraltodeus Questions Current Questions Past Questions

How to Install ComfyUI-AutomaticCFG

Install this extension via the ComfyUI Manager by searching for ComfyUI-AutomaticCFG

1. Click the Manager button in the main menu
2. Select Custom Nodes Manager button
3. Enter ComfyUI-AutomaticCFG 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

Automatic CFG - Unpatch function(Deprecated) Description

Reverts model modifications from Automatic CFG patching, restoring default behavior for testing and configuration flexibility.

Automatic CFG - Unpatch function(Deprecated):

The Automatic CFG

Unpatch function is designed to revert any modifications made to a model by the Automatic CFG patching process. This node is particularly useful when you need to restore a model to its original state after applying various configuration patches. By removing specific options related to the sampler pre-configuration function, this node ensures that the model returns to its default behavior, making it easier to test different configurations or revert changes without needing to reload the original model. This function is essential for maintaining flexibility and control over your model's configuration, especially when experimenting with different settings.

Automatic CFG - Unpatch function(Deprecated) Input Parameters:

model

The model parameter is the only required input for this node. It represents the model that you want to unpatch. This parameter is crucial as it specifies the target model from which the sampler pre-configuration function will be removed. The model should be in a format compatible with the node's operations, typically a cloned instance of the original model. There are no specific minimum, maximum, or default values for this parameter, as it directly depends on the model you are working with.

Automatic CFG - Unpatch function(Deprecated) Output Parameters:

MODEL

The output parameter MODEL represents the model after the unpatching process has been completed. This output is essentially the same model you provided as input, but with the sampler pre-configuration function removed. This allows you to continue working with the model in its unmodified state, ensuring that any previous patches do not affect subsequent operations or experiments.

Automatic CFG - Unpatch function(Deprecated) Usage Tips:

Use this node when you need to revert a model to its original state after applying various patches, ensuring that you can test different configurations without reloading the model.
This function is particularly useful in iterative workflows where you frequently apply and remove patches to fine-tune your model's performance.

Automatic CFG - Unpatch function(Deprecated) Common Errors and Solutions:

"AttributeError: 'NoneType' object has no attribute 'clone'"

Explanation: This error occurs when the input model is None or not properly initialized.
Solution: Ensure that the model parameter is correctly set and that the model is properly loaded before passing it to the node.

"KeyError: 'sampler_pre_cfg_function'"

Explanation: This error happens if the model does not contain the sampler_pre_cfg_function key in its options.
Solution: Verify that the model has been patched with the sampler_pre_cfg_function before attempting to unpatch it. If not, this step may be unnecessary.