03 · Three references, three jobs

Multiple References to Sketch

Combine the long line of one dress, the construction of another and the surface of a print swatch into one new design sketch. A reference image is a picture you give the model to borrow something from. This workflow takes three of them, plus a written instruction that says what to take from each.

You’ll learn
How to give the model several reference images, how to assign each one a role in the prompt, and why images without written roles are not enough.
Graphite fashion sketch combining a long silhouette, panel construction and a spotted print
Saved design study.

What goes in, what comes out

Three images and one written instruction go in. One sketch comes out.

Silhouette
Image 1 · Silhouetteshape and proportion
Construction
Image 2 · Constructioncollar, panels, seams
Print and colour
Image 3 · Print and coloursurface

Written roles“Silhouette from image 1. Construction from image 2. Print from image 3.” Plus the medium: a hand-drawn illustration.

Design sketch
Design sketchone new proposal

How the workflow works

Explained earlier:the three models · writing a brief · seed, guidance and steps · decode and save

The whole workflow with its groups numbered
The whole workflow, with its groups numbered. Click to enlarge.1Choose Your Images1bSend Images to the Comparison2Load the AI Tools3Prepare Your Images4Describe What You Want5Create the Image6Reveal the Image7View and Save8Compare with Your Input Images
  1. Load the three references

    Workflow close-up with numbered nodes
    Groups 1 and 3: the three images and their resize nodes.

    Three Load Image nodes hold one picture each. The order matters, because the prompt refers to them as image 1, image 2 and image 3.

    • Image 1, silhouette: contributes the overall line, length and proportion. Use a full-length view with the hem visible
    • Image 2, construction: contributes the collar, panels and seam placement. Use a picture where these are clearly readable
    • Image 3, print and colour: contributes the surface pattern and palette. Use a flat, evenly lit swatch

    The model cannot use detail that a picture does not show.

  2. Prepare each image size

    Each reference passes through a resize node that keeps its proportions and scales it to a total size in megapixels (one megapixel is a million pixels). The saved values are 0.12, 0.10 and 0.10.

    These numbers are preparation sizes, not influence. 0.12 does not mean 12% strength. A smaller reference carries less fine detail and uses less memory and time. A larger one carries more detail. There is no simple strength slider for a reference in this workflow. Its role comes from the prompt.

  3. Assign the roles in writing

    The model receives the three images and the prompt together. It does not read node titles, and without instructions it has no way to know that one picture is meant for shape and another for print. It would blend all three freely.

    The saved prompt therefore has one labelled paragraph per reference: “SILHOUETTE (from image 1): take the long fluid bias-cut column line…”, then construction from image 2, then print from image 3. It also names the medium, a hand-drawn fashion illustration on paper. For a photographic study, describe a photograph instead.

    If a small detail matters, such as a collar shape or a print colour, name it in words as well as showing it. The shoe example in 07 shows why.

    Change: one reference image, or one role paragraph. Keep fixed: the other two references and the seed. Inspect: whether the change stayed within its role.

  4. Attach the references to the instruction

    The model cannot use a picture directly. The VAE first converts each reference into the model’s internal form, called a latent. A chain of Reference Latent nodes then attaches them to your prompt one after another. The roles are requests, not guarantees: a reference can still influence features outside its role. To add a fourth reference, copy one encode-and-attach pair, add it to the end of the chain, and describe its role in the prompt.

    Workflow close-up with numbered nodes
    1. Positive promptSays what to take from image 1, image 2 and image 3.
    2. VAE encodeConverts each reference image into the model’s internal form.
    3. Reference latentAttaches each converted image to the prompt, one after another.
    4. Negative promptWhat to avoid. It is ignored while the CFG setting is 1.
  5. Generate, decode and save

    The same controls as 01A, on an 832 × 1216 image. The workflow uses the recommended 4 steps and CFG 1, so its negative prompt is ignored.

Three results, three seeds

The same three references and the same instruction, run with three different seeds. Everything else is identical, so the differences show how much the seed alone changes the design.

All three: 4 steps, CFG 1, Euler, 832 × 1216.

Check the result

Whose images are these?The two dress references were themselves AI-generated. That does not make them original or free of rights. A public image is not automatically free to use. More on rights and consent.

Download the workflow

Click a filename to download it, or right-click it and choose Save link as. Keep the .json ending. Then drag the file onto the ComfyUI canvas, or use Workflow → Open.

Image

100% Original
Enlarged image