Back to Prompt Optimizer

Text-to-Image Replicate

mkdocs/docs/en/auxiliary/replicate.md

2.10.23.5 KB
Original Source

Text-to-Image Replicate

The Text-to-Image Replicate feature can reverse-engineer prompts and variables from reference images, suitable for generating similar style works from images you like.

When to Use

  • See a reference image you like and want to generate similar style images
  • Want to learn an image's style, composition, or color scheme
  • Need to extract reproducible prompts from reference images

How to Use

Steps

  1. Enter the Text-to-Image workspace
  2. Upload a reference image (click the "Reference Image" button)
  3. Select Replicate mode
  4. Click start processing
  5. AI analyzes the reference image and generates a prompt
  6. Preview the generated results
  7. Click Apply to Current Prompt

Interface Description

  • Reference Image Area: Displays the uploaded reference image thumbnail
  • Generated Prompt: The AI reverse-engineered prompt text
  • Extracted Variables: Variable parameters identified from the image
  • Apply Button: Writes results to the current workspace

How It Works

Analysis Process

AI analyzes the reference image's:

  • Subject content and composition
  • Color matching and tone
  • Lighting effects and atmosphere
  • Style characteristics and artistic techniques

Output

After analysis, it generates:

  • Prompt: A complete prompt describing the image content and style
  • Variables: Variable parameters extracted from the image (e.g., subject, style, tone)

Variable Processing

  • Extracted variables automatically fill with default values
  • Variable names are semantic (e.g., "subject", "style", "tone")
  • You can modify variable values to adjust generation results

Use Cases

Case 1: Replicate Artistic Style

Reference image: A cyberpunk-style city night scene

Generated prompt:
A futuristic city night scene, flickering neon lights, towering buildings,
rain-soaked streets reflecting colorful lights, cyberpunk style,
high contrast, purple and blue as main colors

Extracted variables:
- Subject: Futuristic city
- Style: Cyberpunk
- Tone: Purple and blue
- Atmosphere: Rainy night

Case 2: Learn Composition Methods

Reference image: A portrait using golden ratio composition

Generated prompt:
A portrait of a young woman, using golden ratio composition,
soft natural light, shallow depth of field, warm tones,
photography style

Extracted variables:
- Subject: Young woman
- Composition: Golden ratio
- Lighting: Soft natural light
- Style: Photography

Difference from Style Learning

FeatureReplicateStyle Learning
Current promptIgnoredPreserves subject
Analysis focusOverall style and contentOnly style, composition, color
Use caseStarting from scratchLearning style on existing prompt

Common Questions

What if the generated prompt is inaccurate?

  • Edit the generated results in the preview dialog
  • Adjust the extracted variable values
  • Regenerate if needed; each run may produce different results

Can I replicate any image?

  • Supports PNG/JPEG format
  • File size must not exceed 10MB
  • Replication effect depends on image clarity and feature distinctiveness

How to further optimize after replication?

  • After applying to current prompt, you can continue using the optimization feature
  • Adjust variable values for fine-tuning
  • Use the testing feature to verify the result