Dall-E 3 (image generation) Node
Overview
The DALL-E 3 Node enables your flow to generate high-quality images using OpenAI's DALL-E 3 model. This advanced image generation node offers enhanced capabilities including better prompt interpretation, more detailed outputs, and additional customization options compared to its predecessor. The node supports both OpenAI and Azure OpenAI providers.
Usage cost: 2 credits
Configuration Settings
Model Selection
Model*: Select DALL-E 3 model from available providers
Supported Providers:
OpenAI
Azure OpenAI
Image Generation
Prompt*: Text description of the image to generate
Quality*: Image quality setting
Standard: Regular quality, faster generation
HD: Higher detail and clarity, longer generation time
Size*: Output resolution options
1024x1024: Square format
1792x1024: Landscape format
1024x1792: Portrait format
Style*: Image rendering style
Vivid: Enhanced colors and contrast
Natural: More photorealistic appearance
Outputs
image
(Image): Generated image object for use in subsequent nodesbase64_image
(string): Base64-encoded image data
Best Practices
Prompt Engineering
Provide detailed, clear descriptions
Include specific visual elements:
Subject matter and composition
Art style and medium
Lighting and atmosphere
Color palette and mood
Use natural language rather than keyword lists
Specify important details first
Example prompt structure:
"A professional photograph of [subject] in [setting], [lighting], [style]"
Quality Selection
Use Standard quality for:
Rapid prototyping
Draft versions
Cost-effective generation
Use HD quality for:
Final deliverables
Detailed artwork
Professional content
Size Selection
Choose 1024x1024 for:
Social media posts
Profile pictures
Universal compatibility
Choose 1792x1024 for:
Landscape photography
Banner images
Wide-format content
Choose 1024x1792 for:
Mobile content
Story formats
Vertical layouts
Style Selection
Use Vivid for:
Digital art
Marketing materials
Eye-catching visuals
Use Natural for:
Product photography
Realistic scenarios
Professional documentation
Common Issues
API rate limiting and quotas
Generation timeouts with HD quality
Network issues during image retrieval
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