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In ComfyUI, Luma Uni-1 shows up as partner Partner Nodes for unified image work: Create graphs generate new images from prompts (with optional references); Modify graphs take an existing image as input and edit it in place. You drive both through the usual workflow—wire Load Image / Save Image, set prompts, seeds, aspect ratio, and reference slots on the Luma node, then queue the graph locally or open a template on Comfy Cloud. Luma describes Uni-1 as a non-diffusion, decoder-only autoregressive model that reasons over your prompt before drawing. On the canvas, what matters most is choosing Create vs Modify, labeling references clearly, and iterating with seeds. This page focuses on how to use Uni-1 inside ComfyUI, from simple graphs to multi-reference setups.

What makes Uni-1 different

  • Two clear modes: Create Image (generate something new) and 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
  • Text rendering that’s actually readable
  • Web search grounding for real-world context
  • Multilingual prompts
  • Multi-panel output with temporal consistency
If you understand the modes and how to control references, you understand Uni-1.

Strengths

Uni-1 excels across a wide range of tasks:
  • Photorealism with material accuracy
  • Illustration & stylized art with strong aesthetic control
  • Old photo restoration and vintage reproduction
  • Surreal and conceptual compositions
  • Text rendering — readable text inside images, great for infographics and posters
  • Image editing and multi-turn refinement
  • Reference-guided generation with identity preservation
  • Multi-panel output — consistent characters/scenes across multiple frames

The core distinction: Create vs Modify

Everything in Uni-1 starts with one question: Am I creating something new, or changing something that already exists? 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

Available workflows

Image Create workflow

Run Image Create on Cloud

Try the Image Create workflow instantly on Comfy Cloud.

Download Image Create Workflow

Download JSON or search “Luma UNI-1 Image Create” in Template Library

Image Edit workflow

Run Image Edit on Cloud

Try the Image Edit workflow instantly on Comfy Cloud.

Download Image Edit Workflow

Download JSON or search “Luma UNI-1 Image Edit” in Template Library
The workflow is simple: prompt → evaluate → refine. Leave the seed blank while exploring. Once you find something strong, lock the seed and iterate from there.

Core parameters

Working with reference images

References only work if you tell the model what they are for. Use this structure:
Possible roles: Style, Character, Composition, Color palette, Lighting, Texture, Mood. Without roles, the model guesses, and guesses are unreliable.

Create mode examples

Style reference
Character reference
Multi-reference

Modify mode examples

In Modify mode, clarity is everything. Always specify what to change and 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, and conflicting instructions. Instead, use specific, named aesthetics:
  • Golden hour, 85mm lens, shallow depth of field
  • 1970s Italian giallo film poster, high-contrast color blocking
Precision beats generality.

Aspect ratios

Choose based on where the image will live: 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:
  1. Explore with no seed
  2. Find a strong result
  3. Lock the seed
  4. Change one variable at a time
Save your prompt and seed together. That’s your reusable recipe.

Advanced techniques

Character consistency

  1. Generate a clean, front-facing reference image
  2. Reuse it as IMAGE1 (CHARACTER) in every scene
  3. Keep the label identical across prompts

Multi-reference architecture

Assign one role per image:
  • IMAGE1 → character
  • IMAGE2 → style
  • IMAGE3 → lighting
  • IMAGE4 → environment
End the prompt with:

Create → Modify chain

Use Create to explore compositions, then Modify to refine details. This is one of the most powerful workflows.

Iterative refinement

  1. Explore (no seed)
  2. Lock seed
  3. Change one variable per generation
  4. Document results
It feels slower, but it’s actually faster, because you always know what changed.

Troubleshooting

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

  1. Label every reference
  2. In Modify mode, always state what should not change
  3. Change one variable at a time when refining
  4. Save prompt + seed for reproducibility
  5. Create = new scenes, Modify = edits

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.