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Cordage integrates with Replicate to provide access to thousands of AI models. This guide covers how to find, configure, and chain models in your workflows.

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Adding a Model Node

  1. Drag a Model node from the Node Palette
  2. Click the node to open the model selector
  3. Browse or search for a model
  4. Click to select and configure

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Finding Models

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Search

Type keywords in the search bar:
  • Model names: “flux”, “sdxl”, “stable-diffusion”
  • Capabilities: “upscale”, “remove background”, “face swap”
  • Categories: “image generation”, “video”, “audio”

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Browse by Category

Models are organized into categories:
  • Image Generation: Create images from text prompts
  • Image-to-Image: Transform existing images
  • Upscaling: Increase image resolution
  • Video: Generate or transform videos
  • Audio: Speech, music, and sound
  • Text: Language models for text processing

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Popular Models

  • Flux Schnell - Fast, high-quality image generation
  • Flux Pro - Premium quality, more detail
  • SDXL - Stable Diffusion XL base model
  • Stable Diffusion 3 - Latest SD version
  • Real-ESRGAN - General purpose upscaling
  • Clarity Upscaler - Detail-preserving upscale
  • GFPGAN - Face enhancement
  • RemBG - Background removal
  • Inpainting Models - Fill or replace regions
  • ControlNet - Guided image generation
  • Stable Video Diffusion - Image to video
  • AnimateDiff - Animation generation
  • Video Upscalers - Enhance video quality

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Configuring Models

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Model Parameters

Each model has unique parameters. Common ones include:

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Dynamic Inputs

Model inputs appear automatically based on the selected model:

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Connecting to Model Inputs

Instead of typing values directly, connect nodes to model inputs: This enables dynamic, reusable workflows.

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Model Execution

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Running Models

Models execute when:
  1. All required inputs have data
  2. An Export node is run
  3. The workflow is triggered via webhook

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Execution Status

Watch the node status indicator:
  • Gray: Not started
  • Blue spinner: Running
  • Green check: Completed
  • Red X: Failed

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Viewing Results

After execution:
  • Preview appears in the node
  • Click preview to view full size
  • Check inspector for run history
  • Access outputs in connected nodes

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Handling Errors

Common model errors:

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Chaining Models

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Sequential Processing

Connect models in sequence for multi-stage processing: Each model’s output becomes the next model’s input.

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Parallel Processing

Create variations by branching: Both models process the same prompt simultaneously.

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Image-to-Image Workflows

Use generated images as input for other models:

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Combining AI + Tools

Mix AI models with tool nodes:

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Advanced Techniques

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ControlNet

Use ControlNet models for guided generation: ControlNet types:
  • Canny: Edge-guided generation
  • Depth: Depth map-guided
  • Pose: Human pose-guided
  • Scribble: Sketch-guided

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Inpainting

Edit specific regions of images:

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Style Transfer

Apply artistic styles:

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Model Costs

Models consume credits based on:
  • Model complexity
  • Output size and count
  • Processing time
Check the model card for pricing information before running.
Use faster models like Flux Schnell during development, then switch to higher-quality models for final outputs.

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Best Practices

Test with small outputs - Use lower resolution during testing to save credits.
Use seeds for reproducibility - Set a seed when you want consistent results.
Chain strategically - Not every workflow needs multiple models. Start simple.
Check model documentation - Each model has unique capabilities and limitations.