AnimateDiff + ControlNet TimeStep KeyFrame | Morphing Animation

Set ControlNet Timestep KeyFrames, such as the first and last frames, to create morphing animations.

Consistent Style Transfer with Unsampling

Controlling latent noise with Unsampling helps dramatically increase consistency in video style transfer.

BRIA AI RMBG 1.4 vs Segment Anything | Background Removal

Efficiently removes backgrounds by comparing BRIA AI's RMBG 1.4 with Segment Anything.

ComfyUI Vid2Vid Dance Transfer

Transfers the motion and style from a source video onto a target image or object.

ComfyUI > Nodes > Allor Plugin > ClipVisionOutputClamp

ComfyUI Node: ClipVisionOutputClamp

Class Name

ClipVisionOutputClamp

Category
clamp

Author
Nourepide (Account age: 2900 days)Extension
Allor PluginLatest Updated
5/22/2024Github Stars
0.2K

Github Ask Nourepide Questions Current Questions Past Questions

How to Install Allor Plugin

Install this extension via the ComfyUI Manager by searching for Allor Plugin

1. Click the Manager button in the main menu
2. Select Custom Nodes Manager button
3. Enter Allor Plugin 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

ClipVisionOutputClamp Description

Node for handling CLIP Vision model outputs, ensuring data integrity and consistency through clamping.

ClipVisionOutputClamp:

The ClipVisionOutputClamp node is designed to handle and process outputs from CLIP Vision models, ensuring that the data remains within expected bounds and formats. This node is particularly useful for AI artists working with vision-based models, as it helps maintain the integrity and consistency of the output data. By using this node, you can ensure that the outputs from your CLIP Vision models are correctly clamped, preventing any unexpected values or anomalies that could affect subsequent processing steps. This node is essential for maintaining the quality and reliability of your vision-based AI projects.

ClipVisionOutputClamp Input Parameters:

clip_vision_output

The clip_vision_output parameter is the primary input for this node. It accepts data of type CLIP_VISION_OUTPUT, which represents the output from a CLIP Vision model. This input is crucial as it provides the node with the necessary data to process and clamp. The function of this parameter is to ensure that the output from the CLIP Vision model is correctly handled and clamped, maintaining the integrity and consistency of the data. There are no specific minimum, maximum, or default values for this parameter, as it directly depends on the output generated by the CLIP Vision model.

ClipVisionOutputClamp Output Parameters:

CLIP_VISION_OUTPUT

The CLIP_VISION_OUTPUT parameter is the output of this node. It returns the clamped version of the input clip_vision_output. This output is essential as it ensures that the data remains within expected bounds and formats, preventing any anomalies or unexpected values that could affect subsequent processing steps. The clamped output maintains the quality and reliability of the vision-based AI projects, making it a crucial component for AI artists working with CLIP Vision models.

ClipVisionOutputClamp Usage Tips:

Ensure that the input clip_vision_output is correctly generated from a CLIP Vision model to avoid any inconsistencies in the clamping process.
Use this node in your workflow to maintain the integrity and consistency of the output data, especially when working with complex vision-based AI projects.

ClipVisionOutputClamp Common Errors and Solutions:

Invalid input type for clip_vision_output

Explanation: This error occurs when the input provided to the clip_vision_output parameter is not of type CLIP_VISION_OUTPUT.
Solution: Ensure that the input data is correctly generated from a CLIP Vision model and matches the expected type.

Missing input for clip_vision_output

Explanation: This error occurs when the clip_vision_output parameter is not provided.
Solution: Make sure to provide the necessary input data from a CLIP Vision model to the clip_vision_output parameter.

Unexpected output values

Explanation: This error occurs when the output values are not within the expected bounds or formats.
Solution: Verify the input data and ensure that it is correctly generated and formatted before passing it to the ClipVisionOutputClamp node.