Rubbrband: A Beginner’s Guide to
AI-Powered Image and Video
Generation
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Rubbrband is a cutting-edge AI
platform designed to help users
generate and edit images and
videos seamlessly. Whether you're
a creative professional or a
curious beginner, Rubbrband's
versatile tools and workflows make
it easy to explore the endless
possibilities of AI-powered
content creation. This guide will
walk you through the basics, so
you can get started quickly and
confidently.
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Key Features of Rubbrband
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Workflows: The Core of
Rubbrband
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At the heart of Rubbrband lies
its workflows. A functional workflow consists
of at least one Input Node, one Save Node, and one or more Processing Nodes. These building blocks allow you
to create and edit images or
videos by connecting different
nodes in a logical sequence.
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Nodes: The Building Blocks
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Rubbrband uses nodes
to structure its workflows. These
include:
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Input Nodes: Bring data (text, images,
videos, audio, or styles)
into the workflow.
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Processing Nodes: Perform tasks like
generating or editing images
and videos.
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Save Nodes: Save the final output of
your workflow.
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TV Nodes: Display outputs as they
are generated.
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Roi: Your Conversational AI
Artist
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Rubbrband also features Roi, an AI artist you can interact
with via simple conversations. Roi
can brainstorm ideas, generate
content, and edit images based on
your inputs. It’s like having a
creative collaborator at your
fingertips.
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Getting Started with
Workflows
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Step 1: Input Nodes
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Input Nodes allow you to bring
data into your workflow. Here are
the most common types:
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Text Input Node: Use text prompts for
text-to-image or
text-to-video
generation.
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Image Input Node: Upload images for tasks
like image-to-image
variations or ControlNet
workflows.
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Video Input Node: Upload videos for editing
or enhancement.
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Audio Input Node: Integrate audio files
into your projects.
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Style Reference Node: Provide style references
for image generation.
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Prompt Modifier Node: Add specific phrases to
enhance text inputs.
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Mask Input Node: Incorporate image masks
into workflows.
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Step 2: Processing Nodes
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Processing Nodes perform the
actual tasks within your workflow.
Here are some examples:
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Image Generation Nodes
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Text to Image Node: Create images from text
prompts using models like
Flux Pro and Flux
Schnell.
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Image to Image Node: Generate variations of an
image based on a text
prompt.
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ControlNet Node: Condition image
generation on input images
using tools like Canny Edge
Detection and
OpenPose.
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Inpaint Image Node: Regenerate masked areas
of an image based on a
prompt.
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Face Swap Node: Replace faces in images
with faces from other
images.
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Video Generation Nodes
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Image to Video Node: Transform a single image
into a video using models
like Hailuo Minimax and
Runway.
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Text to Video Node: Generate videos from text
prompts with creative
control over aspects like
duration and aspect
ratio.
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Editing Nodes
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Adjust Image Color Levels
Node: Fine-tune color
levels.
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Blend Images Node: Combine two images.
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Blur Images Node: Apply Gaussian
blur.
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Extract Image Details
Node: Highlight intricate
details like text and
markings.
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Filter Images Node: Apply effects like
grayscale, sepia, or
sharpen.
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Step 3: Save Nodes
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Use the Save Node to store your
final output. It ensures your
creations are preserved for
further use or sharing.
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Step 4: TV Node
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The TV Node displays outputs in
real time, making it easy to
monitor your workflow
progress.
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Step 5: Connecting Nodes
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Connect the output of one node to
the input of another to pass data
seamlessly through your
workflow.
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Using Roi: Rubbrband's AI
Artist
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Roi is your conversational
assistant for brainstorming,
generating, and editing content.
Here’s how you can make the most
of Roi:
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Tools Available with Roi
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Text to Image: Generate images based on
prompts.
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Upscale Image: Enhance image
resolution.
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Remove Object: Eliminate unwanted
objects from images.
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Change
Object/Background: Modify specific elements
of an image.
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Style Transfer: Apply artistic styles to
images.
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How to Interact with Roi
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Upload images directly or
attach them in
conversations.
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Ask Roi to edit, brainstorm
ideas, or generate images
based on your inputs.
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Key Settings and
Customizations
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Rubbrband offers various settings
to fine-tune your outputs:
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General Settings
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Color Palette: Add up to three colors
for customization.
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Guidance: Control how closely the
output adheres to the
prompt.
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Seed: Use a fixed seed for
consistent results or
randomize it for unique
outputs.
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Specific Settings
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ControlNet
Preprocessors: Use tools like Canny Edge
Detection and Depth
Map.
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Aspect Ratio: Define the
width-to-height ratio for
images or videos.
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Duration: Set the length of
generated videos.
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Denoising Strength: Adjust similarity to the
prompt for inpainting
tasks.
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Tips for Success
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Experiment with Nodes: Try different
combinations to discover
what works best for your
project.
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Use Roi Creatively: Let Roi guide your
creative process through
brainstorming and
editing.
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Start Simple: Begin with basic
workflows and gradually
explore advanced nodes and
settings.
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Rubbrband empowers creators to
push the boundaries of AI-driven
content creation. Dive in, explore
the tools, and unleash your
imagination. Happy creating!
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How to Create a Workflow in
Rubbrband
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Creating workflows in Rubbrband
involves combining input,
processing, and output nodes to
design and execute tasks like
image generation, video editing,
and more. This guide walks you
through the process step by step
to help you set up your first
workflow efficiently.
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Step 1: Understand the Core
Components
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Before building a workflow,
familiarize yourself with its core
components:
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Input Node: Brings data into your
workflow (e.g., text,
images, videos,
audio).
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Processing Node: Performs operations on
the input data (e.g., image
generation, video
editing).
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Save Node: Saves the output of the
workflow.
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TV Node (Optional): Displays the workflow's
output in real time. This is
not required for
functionality but useful for
visualization.
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Step 2: Add an Input Node
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Start your workflow by adding an
input node. Select the type of
node based on the data you plan to
use:
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Text Input Node: For workflows using text
prompts, such as generating
images or videos from
text.
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Image Input Node: For workflows that
process images (e.g.,
image-to-image generation,
video creation).
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Video Input Node: For workflows requiring
video inputs.
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Audio Input Node: For workflows using audio
files.
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Style Reference Node: Upload style reference
images to guide generating
nodes.
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Prompt Modifier Node: Adds specific phrases or
words to your text
inputs.
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Mask Input Node: For workflows that need
image masks as input.
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Example: Choose a Text Input Node
if you want to generate an image
based on a text description.
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Step 3: Add a Processing
Node
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Processing nodes handle the core
operations. Choose one based on
your workflow’s purpose:
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Text-to-Image Node: Generates images from
text prompts.
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Image-to-Image/Redux
Node: Creates variations of an
input image.
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Controlnet Node: Generates images
conditioned on an input
image.
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Face Swap Node: Replaces the face in one
image with another.
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Inpaint Image Node: Regenerates specific
areas of an image using
masks.
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Image to Video Node: Converts a starting frame
image into a video.
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Text to Video Node: Creates videos from text
prompts.
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Adjust Image Color Levels
Node: Modifies image color
levels.
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Blend Images Node: Merges two images
together.
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Blur Images Node: Applies a Gaussian
blur.
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Filter Images Node: Adds filters to
images.
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Masking Nodes: Includes Blur Mask Node,
Invert Mask Node, Segment
Object Node, etc., for
working with masks.
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Example: Use the Text-to-Image Node
to generate a landscape image
based on a text description.
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Step 4: Connect Nodes
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Link the input and processing
nodes to establish data
flow:
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Click on the output "dot"
of the input node.
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Drag it to the input "dot"
of the processing
node.
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Tip: Ensure you connect the nodes
correctly to avoid errors in data
flow.
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Step 5: Add a Save Node
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To save the output of your
workflow, add a Save Node:
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Drag and drop the Save Node
into the workspace.
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Connect the output of the
processing node to the input
of the Save Node.
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Step 6: (Optional) Add a TV
Node
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Add a TV Node
to preview outputs in
real-time:
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Drag and drop the TV Node
into the workspace.
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Note: You do not need to
connect the TV Node to other
nodes. It works
independently to display
outputs.
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Step 7: Configure Node
Settings
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Each node has configurable
settings to customize your
workflow. Adjust the parameters
based on your desired
outcome:
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Input Node: Set data specifics (e.g.,
text prompts, reference
images).
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Processing Node: Adjust parameters like
aspect ratio, guidance,
number of steps, etc.
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Save Node: Specify output file
format and
destination.
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Example: For a Text-to-Image Node, you might set the aspect ratio
to 16:9, choose a pastel color
palette, and increase guidance for
sharper results.
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Step 8: Generate the
Workflow
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Once all nodes are connected and
configured:
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Click the Generate
button to run the
workflow.
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Monitor the progress using
the TV Node (if
added).
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Check the output saved by
the Save Node.
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Summing up
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By following these steps, you can
create customized workflows for
various tasks in Rubbrband.
Experiment with different input
and processing nodes to explore
the platform's full potential.
Whether you’re generating images,
editing videos, or creating masks,
Rubbrband’s flexible workflow
design makes it easy to achieve
your goals.
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How to Master the Controlnet Node
in Rubbrband
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The Controlnet Node in Rubbrband
is a game-changer for generating
images based on the structure and
composition of an input image.
This step-by-step tutorial will
help you unlock its full potential
and make the most out of its
features.
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What is the Controlnet
Node?
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The Controlnet Node leverages
advanced preprocessors to extract
information from a base image,
guiding the image generation
process. It comes in two variants,
each tailored for different
creative workflows:
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Flux Pro: Ideal for simplicity,
using a single
preprocessor.
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Flux Dev: Offers more flexibility
with support for up to two
preprocessors
simultaneously.
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Step 1: Choosing the Controlnet
Subtype
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Flux Pro
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This variant uses a single
preprocessor. Choose from:
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Flux Dev
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This advanced option allows you
to use up to two preprocessors
simultaneously, including:
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Step 2: Inputting the Base Image
and Prompt
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Both variants require:
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Step 3: Configuring
Settings
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Fine-tune your results with these
settings:
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Color Palette:
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Enhance Prompt:
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Guidance:
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Number of Steps:
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Step 4: Selecting and Configuring
Preprocessors
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Flux Pro
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Flux Dev
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Step 5: Generating and
Understanding the Output
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Once all settings are configured,
generate your image. The
Controlnet Node combines the
processed base image and prompt to
produce a unique output.
Experiment with different
configurations to refine the
results.
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Step 6: Using the "Controlnet
Preprocess" Node
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To preview the effects of
preprocessors before applying
them, use the "Controlnet
Preprocess" Node. This provides a
visual representation of how the
preprocessed data impacts your
base image, allowing for better
adjustments.
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Key Takeaways
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The Controlnet Node
utilizes preprocessors to
guide image generation,
ensuring outputs are
informed by the structure
and composition of the base
image.
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Flux Pro
is perfect for simplicity,
while Flux Dev
caters to advanced users
with dual preprocessor
support.
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The "Controlnet Preprocess"
Node is a valuable tool for
understanding and refining
preprocessor effects.
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By mastering these steps, you can
harness the full power of the
Controlnet Node in Rubbrband to
create stunning, customized
images. Dive in, experiment, and
let your creativity shine!
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Mastering the Controlnet
Preprocess Node in Rubbrband
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The Controlnet Preprocess Node
is an indispensable tool for
visualizing how preprocessors
transform base images before
conditioning them for image
generation. By mastering this
node, you can refine your creative
workflow and achieve superior
results with your generated
images. Here’s a comprehensive
guide to help you navigate and use
this powerful feature
effectively.
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What Is the Controlnet Preprocess
Node?
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The Controlnet Preprocess Node
in Rubbrband allows you to preview
the effects of various
preprocessors on a base image.
While it does not generate new
images directly, it outputs an Image Mask
that can later be used with the
Controlnet Node for image
conditioning. This makes it easier
to understand how each
preprocessor transforms the input
image, helping you select the most
suitable preprocessing method for
your project.
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How to Use the Controlnet
Preprocess Node
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Step 1: Choose the Right
Preprocessor
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The Controlnet Preprocess Node
offers several subtypes, each
tailored for specific
preprocessing tasks. Here’s an
overview of the most popular
preprocessors:
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Canny Edge
Preprocessor
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Depth Map Preprocessor
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HED Map Preprocessor
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Segmentation Map
Preprocessor
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OpenPose Preprocessor
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Step 2: Upload the Base
Image
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The Controlnet Preprocess Node
requires a base image as input.
Follow these steps to upload
it:
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Click on the Controlnet Preprocess
Node
in Rubbrband.
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Use the menu on the right
side to upload your desired
image.
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The selected image will be
processed by the chosen
preprocessor to generate an Image Mask.
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Step 3: Configure
Preprocessor-Specific
Settings
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Each preprocessor comes with
unique settings that allow you to
fine-tune the output. Below are
examples of settings for some
popular preprocessors:
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Canny Edge Preprocessor
Settings
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High Threshold: Determines the threshold
for detecting strong edges
(values: 0–255).
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Low Threshold: Defines the threshold for
detecting weak edges
(values: 0–255).
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Conditioning Scale: This setting affects
results only when used with
a Controlnet Node, not
during preprocessing.
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OpenPose Preprocessor
Settings
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Hand: Enable this setting to
include finger positions in
the pose.
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Conditioning Scale: Similar to the Canny Edge
Preprocessor, this only
impacts results when used in
a Controlnet Node.
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Step 4: Visualize the
Output
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After configuring your settings,
the Controlnet Preprocess Node
generates an Image Mask
based on the selected
preprocessor. This mask serves as
a preview of how the preprocessor
transforms the base image.
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Key Tip: Use this output to verify that
the preprocessing effect aligns
with your creative vision before
applying it to a Controlnet
Node.
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Important Notes to Keep in
Mind
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Visualization-Only: The Controlnet Preprocess
Node is designed for
previewing effects and does
not generate a final
image.
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Conditioning Scale
Limitations: This setting only applies
when the preprocessed image
is used with a Controlnet
Node.
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Enhanced Workflow: Previewing preprocessed
images ensures that the
results meet your
expectations, streamlining
your image generation
process.
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Why Use the Controlnet Preprocess
Node?
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The Controlnet Preprocess Node
enables you to:
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Understand
Transformations: Preview how each
preprocessor transforms your
base image.
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Fine-Tune Settings: Adjust preprocessing
parameters for optimal
results.
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Streamline Workflow: Select the most
appropriate preprocessing
method upfront, saving time
and effort.
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By mastering the Controlnet
Preprocess Node, you unlock a
powerful tool for refining your
creative process and achieving
better results. Experiment with
different preprocessors and
settings to discover new
possibilities and push the
boundaries of your projects!
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How to Use the Face Swap Node in
Rubbrband: A Step-by-Step
Tutorial
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The Face Swap Node in Rubbrband
is a game-changing tool for
creative photo edits. It lets you
seamlessly replace the face in one
image with a face from another,
delivering realistic and polished
results. Whether you're a digital
artist or just experimenting with
photo manipulation, this guide
will help you master the
process.
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What is the Face Swap Node?
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The Face Swap Node in Rubbrband
is designed to combine two
images:
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Base Image: The image containing the
subject whose face you want
to replace.
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New Face: The image containing the
face you want to insert into
the Base Image.
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With customizable settings, you
can achieve a perfect balance
between realism and resemblance,
ensuring the final image matches
your vision.
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Step 1: Input the Images
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The first step is to upload the
images required for the face
swap:
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Select the Base Image
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Select the New Face
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How to Upload
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Step 2: Configure the
Settings
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To create a flawless face swap,
fine-tune the output using the
Face Swap Node’s adjustable
settings.
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Key Settings
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Codeformer Weight
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Determines how much the
output resembles the New
Face.
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Increase this value for
a closer match to the
New Face.
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Lower this value to
retain more features of
the original face from
the Base Image.
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Face Restore
Visibility
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Tips for Configuration
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Experiment with both
settings to strike a balance
between realism
and resemblance.
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A higher Codeformer
Weight
ensures a closer match to
the New Face.
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A higher Face Restore
Visibility
smooths imperfections and
makes the result appear more
natural.
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Step 3: Review the Output
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After uploading your images and
adjusting the settings, the Face
Swap Node generates the final
image:
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Final Image: The Base Image will now
feature the New Face
seamlessly integrated.
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Pro Tip: If the results aren’t
perfect, revisit the
settings and tweak the Codeformer Weight
and Face Restore
Visibility
to refine the output.
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Important Notes
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The Face Swap Node is
exclusively for
face-swapping tasks and does
not include general photo
editing features.
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Gradually adjust settings
to understand their impact
on the final output.
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The quality and realism of
the output heavily depend on
the resolution and clarity
of your input images.
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How to Use Rubbrband’s Image to
Image/Redux Node
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Rubbrband’s Image to Image/Redux
Node is a groundbreaking tool for
generating creative variations of
a base image using text prompts.
Powered by advanced Flux
technology, this node enables
users to refine ideas or explore
new design directions
effortlessly. In this guide, we’ll
walk you through everything you
need to know to make the most of
this tool.
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What is the Image to Image/Redux
Node?
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The Image to Image/Redux Node is
designed to transform a base image
into variations guided by a text
prompt. It offers two distinct
subtypes:
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Image to Image Flux
Node: Leverages standard Flux
technology to create general
variations and spark
creative exploration.
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Image to Image Flux Pro
Ultra Node: Utilizes advanced Flux
Pro Ultra technology to
generate highly detailed and
realistic outputs.
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Whether you’re brainstorming or
polishing your designs, this node
has you covered.
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Step 1: Choosing a Node
Subtype
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Before diving in, select the node
subtype that aligns with your
needs:
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Image to Image Flux
Node: Best for quick variations
and creative
experimentation.
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Image to Image Flux Pro
Ultra Node: Ideal for producing
high-quality, realistic
results with enhanced
settings.
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Step 2: Inputting the Base Image
and Prompt
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To begin, you’ll need two
essentials:
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Base Image: The image you wish to
modify.
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Prompt: A detailed text
description that guides the
AI in transforming the base
image.
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How to Input:
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Click on the Image to
Image/Redux Node in
Rubbrband’s interface.
-
In the right-side menu,
upload your base
image.
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Enter your text prompt in
the provided text box.
Ensure your description is
specific and detailed to
achieve precise
results.
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Step 3: Configuring the
Settings
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Rubbrband’s nodes offer extensive
customization options to tailor
the output. Let’s break down the
settings for both subtypes:
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Common Settings:
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Enhance Prompt: Enables the AI to enrich
your text prompt for better
quality outputs. Be mindful
that this can introduce
slight deviations from your
original intent.
-
Color Palette: Add up to three colors to
influence the image’s visual
style.
-
Guidance (Flux Node
Only): Adjust between 0 to 100
to control how closely the
output adheres to your
prompt. Higher values may
result in less creative
coherence.
-
Seed: Use a specific seed
number to replicate results
or set it to “-1” for
randomized outputs.
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Flux Pro Ultra Node-Specific
Settings:
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Image Strength: Adjust between 0 and 1 to
control how closely the
output resembles the base
image. Higher values yield
closer similarity.
-
Raw Mode: Produces more realistic
and natural-looking images
when enabled.
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Step 4: Understanding the
Output
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Once processed, the node will
generate a variation of your base
image based on your prompt and
settings. Here are some tips to
optimize your workflow:
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Use a consistent seed: This ensures you can
replicate specific
outputs.
-
Experiment with Image
Strength: Fine-tune this setting in
the Flux Pro Ultra Node for
better control over
resemblance.
-
Enable Enhance Prompt: Improve quality but be
aware of potential
deviations from the original
idea.
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Key Tips for Success
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The Image to Image/Redux
Node is designed for
modifying existing images,
not creating images from
scratch.
-
Experiment with prompts and
settings to uncover unique
results.
-
Save your base image and
seed settings for iterative
workflows to refine outputs
without starting from
scratch.
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How to Use the Inpaint Image Node
in Rubbrband
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The Inpaint Image Node in
Rubbrband is a powerful tool for
regenerating specific areas of an
image using a text prompt and a
mask. This step-by-step guide will
walk you through the process of
using this node to achieve
stunning results.
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Step 1: Choosing a Node
Subtype
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The Inpaint Image Node comes in
two subtypes:
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Flux Pro Inpaint Node: Utilizes Flux Pro
technology for high-quality
inpainting.
-
Flux Dev Inpaint Node: Leverages Flux Dev
technology with added
flexibility for
inpainting.
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Select the desired subtype based
on your requirements. Both
subtypes are designed to handle
inpainting tasks effectively but
may vary slightly in their
approach.
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Step 2: Inputting the Base Image,
Mask Image, and Prompt
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Each Inpaint Image Node requires
the following inputs:
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Base Image: This is the original
image containing the area to
be inpainted.
-
Mask Image: This black-and-white
image defines the area to be
inpainted.
-
White areas of the mask
indicate the regions to
be regenerated, while
black areas remain
unchanged.
-
To add the Mask Image,
click on the node and
upload your mask via the
right-side menu. If
needed, create a mask
using the Mask Input
Node.
-
Prompt: A text description
specifying what should
replace the masked
area.
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Step 3: Configuring the
Settings
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After uploading your inputs,
configure the settings for your
selected node subtype. Here are
the options available:
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Common Settings for Both
Subtypes:
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Color Palette: Add up to 3 colors to
influence the generated
image.
-
Dilate Mask Amount: Adjust the mask by
expanding it by a specified
number of pixels. For
example, a value of 1 means
every pixel 1 pixel away
from the shaded mask will
also be inpainted.
-
Number of Steps: The number of iterations
the AI takes to generate the
inpainted area. More steps
result in longer processing
times but often yield more
coherent results.
-
Seed: Use a specific random
number to control the
generation process. Keeping
the seed constant ensures
consistent outputs. A seed
of -1 randomizes the result
each time.
|
Settings Specific to Flux Dev
Inpaint Node:
|
|
|
Step 4: Understanding the
Output
|
|
The output of the Inpaint Image
Node is an enhanced version of the
Base Image, where the masked area
is replaced with new content
generated according to the Prompt
and configured settings.
Experimentation with different
prompts, masks, and settings can
help you achieve the desired
result.
|
Important Notes
|
-
The Inpaint Image Node
focuses on regenerating
specific portions of an
image, not creating
variations of the entire
image.
-
The Mask Image
is critical for defining the
area to be inpainted.
-
The Denoising Strength
setting in the Flux Dev
Inpaint Node allows you to
balance similarity to the
prompt versus the original
image.
-
Experiment with:
-
Different prompts to
explore creative
outcomes.
-
Varying mask dilation
settings for better
results.
-
Using consistent seeds
for reproducible
outputs.
|
|
By following these steps, you can
effectively use the Inpaint Image
Node in Rubbrband to regenerate
specific areas of your images with
precision. Whether you’re
correcting mistakes, enhancing
details, or adding creative
elements, this tool provides
endless possibilities for image
editing and design.
|
|
|
How to Use the Text to Image
Node in Rubbrband
|
|
Rubbrband's Text to Image Node
is a powerful tool for generating
images from text prompts. In this
tutorial, we will guide you
step-by-step on how to use this
feature effectively to create
stunning visuals based on your
imagination.
|
|
Understanding the Text to Image
Node
|
|
The Text to Image Node
transforms a text Prompt
into an image. It comes in four
subtypes, each with unique
features:
|
-
Text to Image Flux Dev
Node: Uses Flux Dev technology
for image generation.
-
Text to Image Flux Pro
Node: Leverages Flux Pro
technology for advanced
image creation.
-
Text to Image Flux Pro
Ultra Node: Utilizes Flux Pro Ultra
technology for highly
detailed images.
-
Text to Image Flux
Schnell Node: Optimized for speed,
though less powerful.
|
|
Step 1: Choosing a Node
Subtype
|
|
Select the subtype that best fits
your needs:
|
-
Flux Dev Node: Ideal for basic
text-to-image tasks.
-
Flux Pro Node: Offers enhanced features
for detailed imagery.
-
Flux Pro Ultra Node: Perfect for natural and
realistic visuals.
-
Flux Schnell Node: Best for quick results,
with fewer configuration
options.
|
|
Step 2: Inputting the Prompt
|
|
The Prompt
is the text description guiding
the image generation process. To
add your prompt:
|
-
Click on the chosen
node.
-
Enter your text prompt in
the right-side menu.
|
|
Examples of prompts could
include:
|
|
|
|
Step 3: Configuring the
Settings
|
|
Each subtype comes with
configurable settings. Here's a
breakdown:
|
|
Common Settings for All
Subtypes
|
-
Aspect Ratio: Defines the shape of the
image.
-
Color Palette: Allows up to three colors
to influence the
image.
-
Seed: Determines randomness;
using the same seed produces
identical results.
|
|
Settings Specific to Each
Subtype
|
|
Flux Dev Node
|
-
Guidance: Controls adherence to the
prompt (2-5 scale).
-
Lora Models: Attach up to 5 trained
Rubbrband Concept
models.
-
Number of Steps: Increases iterations for
higher coherence (longer
processing time).
|
|
Flux Pro Node
|
|
|
|
Flux Pro Ultra Node
|
-
Enhance Prompt: Similar to the Pro
Node.
-
RAW Mode: Produces more natural and
realistic images.
-
Number of Steps: Same as the other
nodes.
|
|
Flux Schnell Node
|
|
|
|
Step 4: Generating and
Understanding the Output
|
|
Once the prompt and settings are
configured, the node generates an
image as output. The image
reflects the input Prompt
and the configured settings.
|
|
Tips for Best Results
|
-
Experiment with different
prompts and settings to find
the perfect
combination.
-
Use the same seed for
consistent results when
tweaking other
parameters.
-
Turn on Enhance Prompt
to improve image quality,
though it may introduce
deviations.
-
Activate RAW Mode
(available in the Pro Ultra
Node) for more realistic
images.
|
|
Important Notes
|
-
The Text to Image Node
is designed to create unique
visuals from descriptive
text.
-
The Flux Schnell Node
prioritizes speed over
detail.
-
Higher guidance values
might reduce image
coherence, so use this
setting carefully.
-
The number of steps impacts
both quality and generation
time.
|
|
By following this guide, you can
unlock the full potential of
Rubbrband’s Text to Image Node
and bring your ideas to life
through AI-generated art. Start
experimenting and watch your text
transform into captivating
visuals!
|
|
|
|
How to use Image to Video Node
in Rubbrband: A Step-by-Step
Tutorial
|
|
Rubbrband is revolutionizing
creative workflows with its
AI-driven tools, and the Image to Video Node
is one of its most powerful
features. With this tool, you can
effortlessly transform an image
into a stunning video guided by
your text prompts. Whether you're
looking to create dynamic visuals
for a project or experiment with
creative storytelling, this guide
will walk you through the process
of using the Image to Video
Node.
|
|
What is the Image to Video
Node?
|
|
The Image to Video Node
allows you to create videos using
an input image (start frame) and a
text prompt. Depending on your
needs, you can choose from various
node subtypes, each powered by
different AI models. Here's a
quick overview of the
subtypes:
|
-
Hailuo Minimax Image to
Video Node
-
Haiper Image to Video
Node
-
Kling Image to Video
Node
-
Luma Image to Video
Node
-
Runway Image to Video
Node
|
|
Each subtype offers unique
features and models to generate
videos tailored to your
vision.
|
|
Step 1: Select the Right Node
Subtype
|
|
Your first step is to decide
which Image to Video Node
subtype works best for your
project. Here’s what each subtype
offers:
|
-
Hailuo Minimax: Uses Hailuo’s Minimax
model.
-
Haiper: Leverages the Haiper 2.5
model.
-
Kling: Includes options for
Kling’s various models like kling_1.5_pro
and kling_1.0_pro.
-
Luma: Features advanced
settings like end frame
input and camera
motion.
-
Runway: Powered by RunwayML’s gen3a_turbo
model.
|
|
Select the subtype that aligns
with your desired video style or
output quality.
|
|
Step 2: Add Your Prompt and
Start Frame
|
|
Every Image to Video Node
requires:
|
-
Prompt: A text description
guiding the video creation
process.
-
Start Frame: The first frame of the
video, which sets the visual
foundation.
|
|
Here’s how to add them:
|
-
Prompt: Click on the node and
input your text prompt in
the right-side menu. The
prompt should describe the
video you envision, keeping
the start frame in
mind.
-
Start Frame: Upload your image through
the right-side menu. This
image will serve as the
starting point of your
video.
|
|
Pro Tip: If you're using the Luma Node, you can also add an End Frame, which will define the final
frame of the video, creating a
seamless transition.
|
|
Step 3: Fine-Tune the
Settings
|
|
Each node subtype comes with
adjustable settings. Let’s break
them down:
|
|
Common Settings Across All
Subtypes
|
-
Aspect Ratio: Define the shape of your
video.
-
Color Palette: Select up to three colors
to influence the video’s
tone.
-
Crop to Fit Aspect
Ratio: Center-crops the video to
match the aspect
ratio.
-
Duration: Specify the length of
your video.
-
Seed: Use a specific number to
generate repeatable results.
Set to -1 for a random
seed.
|
|
Subtype-Specific Settings
|
-
Haiper Node: Choose between 720p or
1020p resolution.
-
Kling Node: Select from models like kling_1.5_pro, kling_1.0_pro, or kling_1.0_standard.
-
Luma Node:
-
Runway Node: The output resolution is
fixed at either 768x1280 or
1280x768.
|
|
Step 4: Generate and Understand
the Output
|
|
Once your settings are
configured, hit the Generate
button to create your video.
Here’s what to expect:
|
-
The output video will be
influenced by your prompt,
start frame, and
settings.
-
Consistency is key! Using
the same seed and settings
ensures repeatable
results.
|
|
Note: Some subtypes, like the Luma
Node, offer unique features like
transitioning from a start frame
to an end frame. Experiment with
these options to explore creative
possibilities.
|
|
Tips for Using the Image to
Video Node
|
-
Aspect Ratio Matters: Not all models support
every aspect ratio. Use the Crop to Fit
option for better
alignment.
-
Experiment with Seeds: To refine your video, try
generating multiple outputs
by adjusting the seed
value.
-
Color Palette for Mood: Utilize the color palette
to set the tone or mood of
your video.
|
|
|
How to Master the Text to Video
Node in Rubbrband
|
|
In today's fast-paced digital
world, turning text into
captivating video content is a
game-changer. With the Text to
Video Node in Rubbrband, you can
easily transform any text prompt
into a stunning video. Whether
you're a content creator,
marketer, or developer, mastering
this tool can help you craft
engaging videos that bring your
ideas to life.
|
What is the Text to Video
Node?
|
|
The Text to Video Node in
Rubbrband is an innovative tool
that generates videos from
descriptive text prompts. The node
offers several subtypes, each
using a unique model to suit
various creative needs:
|
-
Hailuo Minimax Text to
Video Node
-
Haiper Text to Video
Node
-
Hunyuan Text to Video
Node
-
Kling Text to Video
Node
-
Luma Text to Video
Node
-
Mochi Text to Video
Node
|
|
Each subtype is optimized for
different kinds of outputs,
offering flexibility depending on
your project.
|
Step 1: Choosing the Right Node
Subtype
|
|
Before diving into video
creation, it's essential to select
the right node subtype based on
your project’s requirements.
Here’s a breakdown of each:
|
-
Hailuo Minimax Text to
Video Node:
Uses the Hailuo Minimax
model.
-
Haiper Text to Video
Node:
Powered by the Haiper 2.5
model.
-
Hunyuan Text to Video
Node:
Based on Tencent's Hunyuan
model.
-
Kling Text to Video
Node:
Features Kling's advanced
models.
-
Luma Text to Video
Node:
Built on the Luma
model.
-
Mochi Text to Video
Node:
Uses Genmo's Mochi
model.
|
|
Each of these models offers
specific features that make them
suitable for different types of
video content.
|
Step 2: Inputting Your Text
Prompt
|
|
The next step is to input your
descriptive text prompt, which
forms the foundation of your
video. Here's how you can do
it:
|
-
Click on the Text to Video Node
in Rubbrband.
-
In the right-side menu,
enter a detailed and
creative prompt that
explains the scene, objects,
or concepts you want the
video to represent.
|
|
The clearer and more detailed
your prompt, the better your video
will turn out.
|
Step 3: Configuring Your
Settings
|
|
Rubbrband offers both common and
subtype-specific settings to
refine your video output. Let's
take a look at them:
|
Common Settings:
|
-
Aspect Ratio:
Choose from standard options
like 16:9 or 1:1, depending
on where the video will be
used.
-
Color Palette:
Select up to three colors to
influence the video’s visual
style.
-
Crop to Fit Aspect
Ratio:
Enable this setting to
automatically crop the video
to fit the desired aspect
ratio.
-
Duration:
Specify how long you want
the video to be.
-
Seed:
Use a fixed seed to get
consistent outputs or set it
to -1 for
randomization.
|
Subtype-Specific Settings:
|
|
Each node subtype offers
additional options to further
personalize your video
output:
|
-
Haiper Text to Video
Node:
-
Hunyuan Text to Video
Node:
-
Kling Text to Video
Node:
-
Luma Text to Video
Node:
-
Mochi Text to Video
Node:
|
Step 4: Generating the Video
|
|
Once you've configured your
settings and input your text
prompt, it’s time to generate your
video. Here’s how:
|
-
Click on the Generate
button.
-
Your video will be created
based on your text prompt
and the settings you
selected.
|
Supported Output Resolutions
|
|
Each node subtype supports
different output resolutions, so
it’s important to know what each
model can provide:
|
-
Haiper Text to Video
Node:
16:9, 9:16, 3:4, 4:3, and
1:1.
-
Hunyuan Text to Video
Node:
16:9 and 9:16.
-
Kling Text to Video
Node:
16:9, 9:16, and 1:1.
-
Luma Text to Video
Node:
16:9, 9:16, 4:3, 3:4, 21:9,
and 9:21.
-
Mochi Text to Video
Node:
848x480.
|
Tips for Best Results
|
|
To get the best video output,
here are a few tips:
|
-
Use the Same Seed:
If you want to tweak
settings without changing
the video drastically, keep
the same seed for
consistency.
-
Crop to Fit Aspect
Ratio:
This setting ensures that
the video looks great in the
chosen aspect ratio.
-
Enhance Prompt (for Mochi
Node):
Allow the AI to add more
details to your prompt to
improve the visual quality
of the video.
|
|
|
How to Effectively Use Mask
Nodes in Rubbrband: A
Step-by-Step Guide
|
|
If you’re looking to streamline
your image editing process and
gain finer control over specific
portions of an image, then
Rubbrband’s Mask Nodes are your
go-to tools. These nodes enable
you to select, edit, and
manipulate image sections
efficiently, opening up a world of
possibilities for advanced image
processing.
|
|
In this blog, we’ll walk you
through the different mask nodes
in Rubbrband and show you exactly
how to use them in your workflows.
By the end, you’ll have a complete
understanding of Mask Nodes and
how to integrate them seamlessly
into your image manipulation
projects.
|
What Are Mask Nodes?
|
|
Mask Nodes are essential tools in
Rubbrband that allow you to create
and manipulate image masks. An
image mask is a black-and-white
representation of an image, where
the white areas indicate the
selected regions and the black
areas represent the unselected
ones. These nodes are particularly
useful when you need to apply
transformations or effects to
certain parts of an image without
affecting the rest.
|
|
Rubbrband offers several mask
nodes, each designed for a unique
function:
|
|
|
|
Let’s dive into each one, with a
step-by-step approach for using
them.
|
Step 1: Using the Mask Input
Node
|
|
The Mask Input Node is the
starting point in your image
masking journey. This node allows
you to create a custom mask for
your image.
|
|
How to Use:
|
-
Add the Node:
Click on the Mask Input Node
and upload the base image
you wish to mask.
-
Apply the Mask:
Use the brush tool to shade
the areas you want to select
(white) on the base image.
The unselected areas will
remain black.
-
Adjust Brush Size:
You can modify the size of
the brush tool for finer
control, especially for
detailed selections.
-
Save the Mask:
Once you’ve shaded the areas
as needed, save the mask. It
will now serve as the input
for further
operations.
|
|
With this node, you’ve created
your custom mask and can proceed
to other manipulations.
|
Step 2: Using the Blur Mask
Node
|
|
After creating a mask, you may
want to blur the selected areas to
soften the transition between
selected and unselected regions.
This is where the Blur Mask Node
comes in handy.
|
|
How to Use:
|
-
Input:
Use the mask you created in
the previous step as
input.
-
Settings:
-
Output:
The result is a blurred
version of the mask, where
the edges are
softened.
|
|
This node is perfect when you
want a more natural or gradual
transition in your
selection.
|
Step 3: Using the Mask Image
Channel Node
|
|
This node extracts a specific
color channel (red, green, or
blue) from the base image and
converts it into a grayscale
mask.
|
|
How to Use:
|
-
Input:
Upload the image from which
you want to extract a
channel.
-
Settings:
-
Output:
The result is a grayscale
mask where pixels from the
selected channel are
represented by varying
shades of gray.
|
|
This is ideal for tasks where you
want to isolate a specific color
channel for further
manipulation.
|
Step 4: Using the Invert Mask
Node
|
|
There are times when you’ll want
to invert your mask — flipping the
white and black areas. The Invert
Mask Node allows you to do just
that.
|
|
How to Use:
|
-
Input:
Use the mask you created (or
any other mask) as
input.
-
Output:
The result is an inverted
mask where white becomes
black and black becomes
white. In the case of
grayscale masks, each
pixel’s value is subtracted
from 255.
|
|
This is useful for situations
where you need to reverse the
areas you’ve selected for
editing.
|
Step 5: Using the Unmasked
Image Contents Node
|
|
Want to isolate and extract the
unmasked portions of your image?
The Unmasked Image Contents Node
is the solution.
|
|
How to Use:
|
-
Inputs:
-
Settings:
-
Output:
The result is a grayscale
image where the unmasked
portions are visible, and
the masked areas are
removed.
|
|
This node is perfect for creating
composites or working with
isolated image regions.
|
Step 6: Using the Segment
Object Node
|
|
The Segment Object Node uses the
SAM-2 model to detect and mask
specific objects within an image.
This is ideal for object isolation
tasks.
|
|
How to Use:
|
-
Inputs:
-
Settings:
-
Prompt:
Provide a text
description of the
object (e.g.,
"hat").
-
Make Boxes:
Enable this setting if
you want to draw
bounding boxes around
the detected
object.
-
Output:
The result is a
black-and-white mask, with
white areas showing where
the object is located.
|
|
This node is a great tool for
tasks such as object detection and
isolation.
|
Key Takeaways
|
-
Mask Nodes
are incredibly versatile,
allowing you to perform
selective image
manipulations.
-
Start with the Mask Input Node
to create custom masks and
then use other nodes to
modify, invert, or blur the
mask.
-
The Segment Object Node
and Unmasked Image Contents
Node
are especially useful for
more advanced image
processing tasks, such as
object
|
|
|
How to Use the Upscale Node in
Rubbrband: A Step-by-Step
Guide
|
|
Are you looking to enhance the
resolution of your images using
the Upscale Node
in Rubbrband? This tutorial will
walk you through how to
effectively use the Upscale Node
and its subtypes to get the best
results for your image upscaling
projects.
|
|
What is the Upscale Node?
|
|
The Upscale Node
in Rubbrband is a powerful tool
designed to increase the
resolution of an image, making it
sharper and more detailed. The
node offers several subtypes, each
using a different upscaling method
to achieve various results:
|
-
Rubbrband Upscale Node: Maintains image
details.
-
Clarity Upscale Node: Known for producing
realistic results.
-
ESRGAN Upscale Node: A fast, simple upscaler
without diffusion
models.
|
|
Now, let's dive into how to use
each subtype.
|
|
Step 1: Choosing a Node
Subtype
|
|
The first step is to select the Upscale Node
subtype that best suits your
needs. Each subtype has its unique
strengths:
|
-
Rubbrband Upscale Node: Choose this for
maintaining intricate image
details.
-
Clarity Upscale Node: Best for producing
lifelike, realistic
images.
-
ESRGAN Upscale Node: If you need a quick,
simple upscale with minimal
configuration.
|
|
Step 2: Inputting the Image
and/or Prompt
|
|
Depending on which subtype you
choose, you'll need to upload an
image or enter additional prompts.
Here's what each subtype
requires:
|
-
Rubbrband Upscale Node: Upload an Image
input. Simply click on the
node and upload your desired
image from the right-side
menu.
-
Clarity Upscale Node: Requires the following
inputs:
-
A Prompt
(describing what you
want to enhance).
-
A Negative Prompt
(describing what you
want to avoid).
-
A Base Image
(the original image you
wish to upscale). To add
these inputs, click on
the node, type in the
prompts, and upload the
base image from the
right-side menu.
-
ESRGAN Upscale Node: Only requires a Base Image. Click on the node, and
upload the image you want to
upscale.
|
|
Step 3: Configuring the
Settings
|
|
Each subtype has its own settings
that you can adjust to fine-tune
the upscaling process. Let's look
at the settings available for each
subtype:
|
|
Rubbrband Upscale Node:
|
-
cfg: Controls prompt guidance.
Increasing this will
emphasize the prompt,
producing stronger effects
in the upscale.
-
Emphasis on Detail: Boosts the granularity
and small details of the
image. Be cautious, as
setting this too high may
introduce graininess.
-
Creativity: Adjusts the diversity and
creativity of the upscaled
image. Increase this for a
more varied result.
-
Number of Steps: The number of iterations
during the upscale process.
More steps result in a more
refined image but increase
inference time.
|
|
Clarity Upscale Node:
|
-
Creativity: Affects the diversity and
creativity of the upscaled
image. Increase it for a
more varied output.
-
HDR: Boosts the vividness and
life-like appearance of the
image.
-
Number of Steps: More steps lead to a more
refined image by adding more
iterations.
-
Resemblance: The higher the value, the
more details of the original
image are retained.
-
Tiling Height and
Width: Adjusts the size of the
tiles processed during
upscaling. A larger number
reduces fractality, while a
smaller number offers finer
initial detail. Ensure both
values are divisible by
16.
-
Upscale by: Defines the upscale
factor, determining how many
times the resolution will
increase.
|
|
ESRGAN Upscale Node:
|
|
This node has no settings
available for customization,
making it simple and fast but less
flexible than the other two.
|
|
Step 4: Understanding the
Output
|
|
Once you've uploaded your image
and configured the settings, the
output will be an Image—the upscaled version of your
input. This image will be enhanced
according to the settings you
selected.
|
|
Important Notes
|
-
Rubbrband Upscale Node: The maximum output
resolution is 4096x4096.
-
Clarity Upscale Node: Offers the most control
over various factors related
to upscaling.
-
ESRGAN Upscale Node: A fast and simple
upscaler with no adjustable
settings.
|
|
|
How to Use Editing Nodes in
Rubbrband: A Step-by-Step Guide
|
|
Rubbrband offers powerful image
editing capabilities that can
elevate your image processing
workflows. With its Editing Nodes,
you can adjust color levels, blend
images, apply filters, and much
more. In this guide, we will walk
you through the process of using
these Editing Nodes to transform
your images effortlessly. Whether
you’re a beginner or an experienced
user, these steps will help you
master Rubbrband’s image editing
tools.
|
|
What Are Editing Nodes in
Rubbrband?
|
|
Editing Nodes are the heart of
Rubbrband’s image processing
capabilities. These nodes allow you
to modify your images by applying
various effects, adjusting
properties, or blending multiple
images. The key functions you can
perform with Editing Nodes include:
|
|
|
|
There are five main types of editing
nodes in Rubbrband, each designed to
help you achieve a specific effect.
Let’s explore each of them in
detail!
|
|
Step 1: Using the Adjust Image
Color Levels Node
|
|
The
Adjust Image Color Levels Node
is used to fine-tune the contrast in
your image by adjusting the dark and
light areas. This is perfect for
enhancing the overall look and feel
of your images.
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How to Use:
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Input: Upload an image
by clicking on the node and
selecting the image from the
right-side menu.
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Settings:
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Output: The image will
be processed with the color
levels adjusted according to
the thresholds you set.
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Step 2: Using the Blend Images
Node
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The Blend Images Node allows
you to combine two images into one
by adjusting the visibility of each
image. This is useful for creating
compositions or overlays.
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How to Use:
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Inputs: Upload two
images: one to be placed on
top and the other as the
background.
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Settings:
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Output: The two images
will blend based on the
priority you set, creating a
combined image.
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Step 3: Using the Blur Images
Node
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The Blur Images Node applies
a Gaussian blur to soften the
details of an image, perfect for
creating a dreamy effect or focusing
attention on specific parts of an
image.
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How to Use:
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Input: Upload an image
from the right-side menu.
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Settings:
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Output: The image will
be blurred based on the radius
you selected.
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Step 4: Using the Extract Image
Details Node
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The
Extract Image Details Node is
designed to highlight fine details,
such as text or fine lines, while
excluding broader colors and shapes.
This is especially useful for
extracting information from an
image.
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How to Use:
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Input: Upload an image
by selecting it from the
right-side menu.
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Output: The image will
be processed to emphasize
intricate details, su
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