Style Learning

The Style Learning feature can extract style, composition, and color characteristics from reference images while preserving your current prompt's subject content.

When to Use

• Already have a prompt subject and want to learn a specific style from a reference image
• Want to preserve the prompt's core content while only changing visual style
• Need to learn unified style characteristics from multiple reference images

How to Use

Steps

1. Enter the Text-to-Image workspace
2. First enter what you want to draw (prompt subject)
3. Upload a reference image (click the "Reference Image" button)
4. Select Style Learning mode
5. Click start processing
6. AI analyzes the reference image style and generates a stylized prompt
7. Preview the generated results
8. Click Apply to Current Prompt

Prerequisites

• Must first enter prompt subject content
• Prompt cannot be empty
• Reference image clarity must be sufficient

Interface Description

• Reference Image Area: Displays the uploaded reference image thumbnail
• Generated Prompt: Preserved subject + style-learned prompt
• Extracted Variables: Style-related variables extracted from the image
• Apply Button: Writes results to the current workspace

How It Works

Analysis Process

AI analyzes the reference image's:

• Color matching and tone
• Composition method and perspective
• Lighting effects and atmosphere
• Artistic style and techniques

But does not change:

• Prompt's subject content
• Core descriptions and key elements

Output

After analysis, it generates:

• Stylized Prompt: Subject content + learned style characteristics
• Style Variables: Style parameters extracted from the image (e.g., tone, composition, style)

Variable Processing

• Extracted variables focus on style characteristics
• Variable names are semantic (e.g., "tone", "composition", "style")
• You can modify variable values to adjust style intensity

Use Cases

Case 1: Learn Color Style

Original prompt:
An orange cat sitting on a windowsill, sunlight shining on it

Reference image: A warm-toned, soft-lighting photography work

Generated stylized prompt:
An orange cat sitting on a windowsill, sunlight shining on it,
warm tones, soft light transitions, cozy atmosphere, photography style

Extracted variables:
- Tone: Warm tones
- Lighting: Soft transitions
- Atmosphere: Cozy
- Style: Photography

Case 2: Learn Composition Method

Original prompt:
A snowy mountain with snow on the peak

Reference image: A landscape photo shot from low angle, emphasizing foreground

Generated stylized prompt:
A snowy mountain with snow on the peak, low angle shot,
emphasizing foreground, vast field of view, magnificent atmosphere,
landscape photography style

Extracted variables:
- Perspective: Low angle
- Composition: Emphasize foreground
- Atmosphere: Magnificent
- Style: Landscape photography

Case 3: Learn Artistic Style

Original prompt:
A samurai holding a long sword

Reference image: An ukiyo-e style illustration

Generated stylized prompt:
A samurai holding a long sword, ukiyo-e style, flat processing,
traditional Japanese colors, decorative lines, artistic illustration

Extracted variables:
- Style: Ukiyo-e
- Processing: Flat
- Colors: Traditional Japanese
- Lines: Decorative

Difference from Replicate

Common Questions

Why must I input content first?

The core of style learning is "preserve subject, learn style." Without subject content, it cannot determine what needs to be preserved and what needs to be learned.

What if the learned style is not distinctive enough?

• Check if the reference image's style characteristics are distinct
• Try adjusting the extracted variable values
• Use a more stylized reference image

Can I learn styles from multiple reference images at once?

The current version only supports uploading one reference image at a time. If you need to blend multiple styles, you can:

1. First learn the style from the first reference image
2. Apply to the prompt
3. Then upload the second reference image to continue learning

How to further optimize after learning?

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

Related Pages

• Text-to-Image Workspace
• Replicate
• Smart Variable Fill