Reference-to-Image

Reference-to-Image models generate a new image from one or more reference images combined with a text prompt. In Automat Studio, these models power the “from reference” workflow used when creating assets — building a character, location, prop, or wardrobe item that matches the look of images you provide.

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When to Use

• Asset from References — Create a character, location, prop, or wardrobe item that matches uploaded reference images
• Consistency — Keep a recurring asset visually consistent across your project
• Likeness Matching — Generate variations that preserve the identity or style of your references
• Concept Realization — Turn moodboard or inspiration images into a usable asset

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Recommended Models

These models consistently deliver the best results for reference-based generation:

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Google Nano Banana 2

• Credits: 14
• Rating: ⭐⭐⭐⭐⭐ (5/5)
• Provider: Google
• Avg. Duration: ~18 seconds
• Best for: Premium quality with strong reference adherence (Default model)

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OpenAI GPT Image 1.5

• Credits: 42
• Rating: ⭐⭐⭐⭐⭐ (5/5)
• Provider: OpenAI
• Avg. Duration: ~51 seconds
• Best for: Strong prompt understanding with accurate reference matching

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Google Nano Banana

• Credits: 8
• Rating: ⭐⭐⭐⭐ (4/5)
• Provider: Google
• Avg. Duration: ~12 seconds
• Best for: Fast, high-quality generation at low cost

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Kling 3.0 Image

• Credits: 6
• Rating: ⭐⭐⭐⭐ (4/5)
• Provider: fal.ai
• Avg. Duration: ~38 seconds
• Best for: Affordable, high-quality reference-based generation

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Supported Models

These models are available but may have varying quality or consistency:

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Google Nano Banana Pro

• Credits: 28
• Rating: ⭐⭐ (2/5)
• Provider: Google
• Avg. Duration: ~20 seconds
• Use when: Premium detail is needed for reference matching

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OpenAI GPT Image 1

• Credits: 52
• Rating: ⭐ (1/5)
• Provider: OpenAI
• Avg. Duration: ~59 seconds
• Use when: Exploring alternative reference-based generation

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Tips for Best Results

1. Use Clear References — Provide high-quality, well-lit reference images that clearly show the subject
2. Combine with Prompts — A descriptive prompt sharpens what the model takes from your references
3. Match the Goal — Use references that reflect the angle, framing, and style you want in the result
4. Iterate — Generate multiple versions and keep the ones that best match your references
5. Keep Assets Consistent — Reuse the same references when generating variations of a recurring asset

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