Overview
Uni-1 is our first unified model designed for both image creation and precision editing. What makes it powerful isn’t just output quality, it’s control. You can generate entirely new images, or surgically modify existing ones, all while guiding the system with references, seeds, and structured prompts.
This guide gives you a working mental model and practical workflows—from your very first image to advanced multi-reference setups—so you can move from exploration to repeatable results.
What makes Uni-1 different
Uni-1 stands out because it combines flexibility with structure:
Two clear modes
Create Image → generate something new
Modify Image → edit something existing
Up to 9 reference images, each with a defined role
Strong control over niche and specific visual styles
Seed support for reproducibility and controlled iteration
Nine aspect ratios, from ultra-tall to ultra-wide
If you understand the modes and how to control references, you understand Uni-1.
The core distinction: Create vs Modify
Everything in Uni-1 starts with a simple question:
Am I creating something new, or changing something that already exists?
Create Image
Produces a brand-new composition
Can be inspired by references
Modify Image
Edits a specific input image
Preserves composition and structure unless told otherwise
Examples:
Make this photo look like nighttime→ ModifyCreate a new scene in the style of this photo→ Create
When in doubt:
If the output should look like a version of your input, use Modify
If it should feel inspired but new, use Create
Your first image
Start simple:
Open Create Image > Uni-1
Write a prompt
Choose an aspect ratio
Generate
Example prompt:
A wide cinematic landscape at during a violent storm. Rolling green hills, a lone tree in the foreground, chaotic lighting, dramatic clouds and atmosphere. Photorealistic.
Don’t overthink it. The real workflow is:
prompt → evaluate → refine
Leave the seed blank while exploring. Once you find something strong, lock it and iterate from there.
Understanding the core parameters
Prompt
Your primary control. Up to 6,000 characters. Be precise.
Aspect ratio
Controls framing, not quality. Choose based on use case.
Seed
Controls randomness:
Same seed + same prompt → same result
Same seed + changed prompt → controlled variation
No seed → exploration
Reference images (Create)
Up to 9 images to guide different aspects.
Source image (Modify)
The image you are editing. Dimensions are preserved automatically.
Working with reference images
References only work if you tell the model what they are for.
Use this structure:
Use IMAGE1 ([description]) as a [ROLE] reference.
Possible roles:
Style
Character
Composition
Color palette
Lighting
Texture
Mood
Without roles, the model guesses—and guesses are unreliable.
Example prompts
Create mode
Style reference
Use IMAGE1 (impressionist oil painting with loose brushwork and warm sunset tones) as a STYLE reference. Create a portrait of a woman in her 30s applying IMAGE1’s color palette and painterly texture. The subject should be new.
Character reference
Use IMAGE1 (woman with short copper-red hair, freckles) as a CHARACTER reference. Preserve her features. Generate a new scene: she’s sitting in a softly lit café.
Multi-reference
Use IMAGE1 as a COLOR PALETTE reference, IMAGE2 as LIGHTING, IMAGE3 as COMPOSITION. Create a lone figure walking through a rain-slicked street at night.
Modify mode
In Modify mode, clarity is everything.
Change the time of day to golden hour. Update sky, light direction, shadows, and color temperature. Keep all subjects and composition unchanged.
Make the rain heavier and add reflections on the ground. Keep all other elements unchanged.
Always specify:
What to change
What must stay untouched
Prompting guidelines
Recommended lengths:
Text-to-image → 80–250 words
Reference-guided → 100–300 words
Modify → 30–100 words
Avoid:
Vague terms (“beautiful,” “amazing”)
Redundant phrasing
Conflicting instructions
Do this instead:
Golden hour, 85mm lens, shallow depth of field
Uni-1 performs best with specific, named aesthetics:
1970s Italian giallo film poster, high-contrast color blocking
Precision beats generality.
Aspect ratios
Choose based on where the image will live:
1:1 → social posts
9:16 → vertical video
16:9 → widescreen
3:2 / 2:3 → photography
2:1 / 3:1 → cinematic/panoramic
1:2 / 1:3 → ultra-tall
In Modify mode, aspect ratio is locked to the source image.
Seeds: control and reproducibility
Seeds turn experimentation into systems.
Fixed seed → consistency
No seed → exploration
Workflow:
Explore (no seed)
Find a strong result
Lock the seed
Change one variable at a time
Save your prompt + seed together. That’s your reusable recipe.
Advanced techniques
Character consistency
Generate a clean, front-facing reference image
Reuse it as IMAGE1 (CHARACTER) in every scene
Keep the label identical across prompts
Multi-reference architecture
Assign one role per image:
IMAGE1 → character
IMAGE2 → style
IMAGE3 → lighting
IMAGE4 → environment
End with:
Treat each reference as having authority over its assigned layer only.
Create → Modify chain
Use Create to explore compositions
Use Modify to refine details
This is one of the most powerful workflows.
Iterative refinement
Explore (no seed)
Lock seed
Change one variable per generation
Document results
It feels slower, but it’s actually faster because you always know what changed.
Troubleshooting
References ignored → label each one clearly
Modify changes too much → explicitly state what must stay unchanged
Inconsistent outputs → lock the seed
Prompt partially ignored → remove conflicts or split into steps
Looks like the reference image → you may be in Modify mode
Character inconsistency → reuse a canonical reference image
Quick reference
Create Image
New compositions
Text + up to 9 references
Descriptive prompts
Modify Image
Edits existing images
Source image + references
Direct, surgical prompts
The golden rules
Label every reference
In Modify mode, always state what should NOT change
Change one variable at a time when refining
Save prompt + seed for reproducibility
Create = new scenes, Modify = edits
A helpful reminder
Uni-1 isn’t about getting the perfect result on the first try. It’s about building control over outcomes. The more structured your approach (clear roles, consistent seeds, deliberate iteration) the more predictable and powerful your results become.
Key takeaway
Mastering Uni-1 comes down to three things:
Choose the right mode → control your references → iterate with intention.
Once those are in place, you’re no longer guessing, you’re directing.


