Image Settings
This page configures image generation capabilities in IntraLLM AI. Image generation allows models and workflows to create images from text prompts using a selected generation engine and workflow configuration.
Image Prompt Generation
Image prompt generation controls how text prompts are prepared and passed to the image generation engine. Prompts may originate from user input or be generated by models as part of a workflow.
Image Generation Engine
The Image Generation Engine can be selected from the available engines in the dropdown list.
ComfyUI
When ComfyUI is selected:
- Image generation requests are sent to a connected ComfyUI service
- The engine executes a predefined workflow to produce images
Engine Configuration
- ComfyUI Base URL: specifies the address of the ComfyUI service
- ComfyUI API Key: used to authenticate requests to the ComfyUI service
The selected engine must be reachable from the IntraLLM AI backend.
ComfyUI Workflow
Workflow Definition
The ComfyUI Workflow defines the image generation pipeline in JSON format. The workflow controls:
- Model loading
- Prompt encoding
- Sampling configuration
- Image decoding and output
You can:
- Paste a workflow definition directly
- Upload a
workflow.jsonfile exported from ComfyUI (API format)
Workflow Nodes
Workflow nodes map generation parameters to ComfyUI components.
Common node mappings include:
- Prompt encoding nodes
- Model loader nodes
- Sampler configuration nodes
- Latent image size nodes
- Image decoding and output nodes
At least one prompt node ID is required for image generation to function.
Default Image Generation Settings
Default settings are used when a workflow or template does not explicitly override them.
- Set Default Model: default diffusion model used for image generation
- Set Image Size: default output resolution
- Set Steps: default number of sampling steps
These values provide a baseline for image quality and performance.
How it works
When image generation is triggered:
- An image prompt is prepared
- The selected generation engine executes the configured workflow
- Models and parameters defined in the workflow are applied
- The generated image is returned and displayed in the platform
Usage considerations
- Workflow configuration directly affects image quality and performance
- Larger image sizes and higher step counts require more GPU resources
- Ensure the selected engine and workflow are correctly configured before use
Quick checklist
- Image generation engine selected
- Engine connection configured correctly
- Workflow loaded and validated
- Prompt node IDs defined
- Default model, image size, and steps configured
- Sufficient GPU resources available