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.Documentation Index
Fetch the complete documentation index at: https://docs.trycordage.com/llms.txt
Use this file to discover all available pages before exploring further.
Adding a Model Node
- Drag a Model node from the Node Palette
- Click the node to open the model selector
- Browse or search for a model
- Click to select and configure
Finding Models
Search
Type keywords in the search bar:- Model names: “flux”, “sdxl”, “stable-diffusion”
- Capabilities: “upscale”, “remove background”, “face swap”
- Categories: “image generation”, “video”, “audio”
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
Popular Models
Image Generation
Image Generation
- 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
Image Enhancement
Image Enhancement
- Real-ESRGAN - General purpose upscaling
- Clarity Upscaler - Detail-preserving upscale
- GFPGAN - Face enhancement
Image Editing
Image Editing
- RemBG - Background removal
- Inpainting Models - Fill or replace regions
- ControlNet - Guided image generation
Video
Video
- Stable Video Diffusion - Image to video
- AnimateDiff - Animation generation
- Video Upscalers - Enhance video quality
Configuring Models
Model Parameters
Each model has unique parameters. Common ones include:| Parameter | Description | Typical Values |
|---|---|---|
prompt | Text description of desired output | Any text |
negative_prompt | What to avoid in the output | ”blurry, low quality” |
width / height | Output dimensions | 512-2048 pixels |
num_outputs | Number of images to generate | 1-4 |
guidance_scale | How closely to follow prompt | 1-20 (typically 7.5) |
num_inference_steps | Generation quality/speed | 20-100 |
seed | Random seed for reproducibility | Any integer |
Dynamic Inputs
Model inputs appear automatically based on the selected model:Connecting to Model Inputs
Instead of typing values directly, connect nodes to model inputs: This enables dynamic, reusable workflows.Model Execution
Running Models
Models execute when:- All required inputs have data
- An Export node is run
- The workflow is triggered via webhook
Execution Status
Watch the node status indicator:- Gray: Not started
- Blue spinner: Running
- Green check: Completed
- Red X: Failed
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
Handling Errors
Common model errors:| Error | Cause | Solution |
|---|---|---|
| ”Invalid prompt” | Prompt too long or contains banned content | Shorten or modify prompt |
| ”Insufficient credits” | Account needs credits | Add credits in settings |
| ”Model timeout” | Generation took too long | Try simpler prompt or smaller size |
| ”NSFW content” | Content policy violation | Modify prompt content |
Chaining Models
Sequential Processing
Connect models in sequence for multi-stage processing: Each model’s output becomes the next model’s input.Parallel Processing
Create variations by branching: Both models process the same prompt simultaneously.Image-to-Image Workflows
Use generated images as input for other models:Combining AI + Tools
Mix AI models with tool nodes:Advanced Techniques
ControlNet
Use ControlNet models for guided generation: ControlNet types:- Canny: Edge-guided generation
- Depth: Depth map-guided
- Pose: Human pose-guided
- Scribble: Sketch-guided
Inpainting
Edit specific regions of images:Style Transfer
Apply artistic styles:Model Costs
Models consume credits based on:- Model complexity
- Output size and count
- Processing time