Photomaker is an advanced image generation model designed to create realistic and stylized portraits while preserving subject identity. By leveraging reference images and text prompts, the Photomaker generates high-quality personalized images across various artistic styles.

Photomaker utilizes a stacked ID embedding technique to capture and retain the subject's identity across generated images. It processes multiple reference images and generates new portraits by combining facial features with user-defined styles and prompts. The Photomaker offers control over fine-tuning generation parameters, enabling users to adjust style intensity, guidance, and fidelity.

• Identity Preservation: The Photomaker maintains facial consistency best when multiple high-quality reference images are provided.
• Prompt Impact: Specific and structured prompts yield better results than vague descriptions.
• Style Application: Some artistic styles may alter facial features slightly. Lowering style_strength_ratio helps retain identity.
• Safety Features: The disable_safety_checker option removes content restrictions but should be used responsibly.

• Reference Images: Provide at least two images (up to four) covering different angles and lighting conditions.
• Prompt Writing:
  • Use precise descriptions like "A cinematic close-up portrait of a man in warm golden light."
  • Avoid ambiguous terms that might introduce unwanted elements.
• Style Selection:
  • Use "Photographic (Default)" for the most natural appearance.
  • "Cinematic" enhances lighting and depth.
  • "Comic Book" and "Fantasy Art" create stylized outputs but may slightly alter features.
• Style Strength Ratio (style_strength_ratio):
  • For minimal style impact, keep it between 15-25.
  • For stronger stylization, use values 30-50.
• Guidance Scale (guidance_scale):
  • Set between 3-6 for balanced results.
  • Higher values (7-10) enforce closer adherence to prompts but might reduce realism.
• Number of Steps (num_steps):
  • Default range is 1-100; use 50-80 for optimal image quality.

• Identity Preservation: Generates images that closely resemble the subject while adapting to different styles.
• Multiple Style Options: Supports a variety of styles, from realistic to artistic interpretations.
• Prompt-Based Control: Users can customize outputs using descriptive text prompts.
• Multi-Image Input: Accepts up to four reference images to enhance identity consistency.
• Adjustable Parameters: Offers fine-tuning options for style intensity, guidance, and step count.
• High-Resolution Outputs: Produces detailed, high-quality images suitable for various use cases.

• Realistic Portraits: Generate high-quality digital portraits with natural lighting and details.
• Creative Artwork: Explore stylized versions of a subject using different artistic styles.
• Character Design: Create unique characters for storytelling, gaming, or digital media.
• Marketing & Visual Content: Personalize visuals for branding, social media, and promotional materials.

• Experiment with Style Combinations: Combine different styles by adjusting style_strength_ratio.
• Change Scene Context: Use prompts to place subjects in different environments (e.g., "A futuristic city background with neon lights.")
• Modify Lighting and Mood: Control ambiance using descriptive prompts (e.g., "A dramatic noir-style portrait with deep shadows.")

• Extreme Style Transformations: High style_strength_ratio may distort facial identity.
• Reference Image Quality: Low-resolution or overly edited images can affect model accuracy.
• Prompt Dependency: Poorly structured prompts may generate undesired elements.

Output Format: PNG