ComfyUI Workflow for Area Composition

Why ComfyUI Workflows Matter

In the world of AI image generation, ComfyUI workflows are one of the most flexible ways to create structured, controllable visuals. By wiring together nodes for text prompts, conditioning, sampling, and outputs, creators can define exactly how and where different elements appear in an image.

But for newcomers, ComfyUI can feel overwhelming: the node graphs are powerful, but also technical. That’s where Promptus CosyFlows come in. CosyFlows are pre-built ComfyUI workflows, delivered directly inside the Promptus Playground, so creators can use advanced features with one click—no manual wiring required.


Two standout examples are:

  • (cosy) Area Composition
  • (cosy) Area Composition Square Area for Subject

What is (cosy) Area Composition?

Area Composition is a technique in ComfyUI that allows you to apply different prompts to different regions of the image. Instead of writing one global prompt, you can condition specific areas (like the sky, subject, or background) with their own instructions.


In a raw ComfyUI workflow, this is done with nodes like:

  • CLIP Text Encode → encodes regional prompts
  • Conditioning (Set Area) or Conditioning (Set Area %) → defines where in the canvas the prompt applies
  • K-Sampler → generates the actual image with regional control

With (cosy) Area Composition in Promptus, all of this is pre-built. Users simply:

  1. Open the CosyFlow in the Playground (ComfyUI Canvas).
  2. Enter region-specific prompts (e.g., “blue sky with clouds” for the top, “mountains” for the middle, “forest with river” for the bottom).
  3. Run the workflow and instantly generate a coherent composition.

This solves the problem of layout control: instead of hoping the model understands where to place elements, you explicitly guide it.

What is (cosy) Area Composition Square Area for Subject?

The Square Area for Subject variation takes Area Composition one step further. It introduces a dedicated square region in the middle of the canvas reserved for the main subject.


Why is this important?

  • Consistency: Subjects generated in wide aspect ratios (16:9, 21:9) often get distorted. A square region stabilizes proportions.
  • Reliability: Faces, limbs, and details stay intact, even if other regions are more abstract.
  • Creative freedom: You can prompt the subject separately (e.g., “woman in red dress sitting on a chair”) while still designing the background with its own prompts.

Nodes used under the hood include:

  • Conditioning (Set Area with Strength) → to strongly bind the subject prompt to the square zone.
  • Conditioning Combine → merges subject conditioning with background conditioning before sending into the sampler.

Again, with CosyFlows, this is pre-wired. Users only need to provide prompts.

How It Works in the Promptus Playground

Inside Promptus, both of these ComfyUI workflows are delivered as CosyFlows:

  • No installation of ComfyUI required.
  • No manual model setup.
  • No node graph wiring.

You open the Playground Canvas, and the Area Composition workflow is already loaded. You just:

  1. Adjust prompts for regions (and for the square subject if using the subject-focused flow).
  2. Choose your output size.
  3. Click run.

Promptus handles everything else, so you get the power of advanced ComfyUI workflows with the simplicity of a playground interface.

Example Use Cases

  • (cosy) Area Composition
    • Top prompt: “clear blue sky with soft clouds”
    • Middle prompt: “snow-capped mountains”
    • Bottom prompt: “pine forest with a river”
      → Output: A cinematic wide landscape with distinct but coherent regions.
  • (cosy) Area Composition Square Area for Subject
    • Background prompt: “busy New York street at sunset”
    • Square subject prompt: “woman in business suit holding a coffee”
      → Output: A sharp, well-proportioned subject in the foreground with a detailed urban background.

Why Use These Workflows?

  • Problem: Traditional AI image generation struggles with composition and consistency.
  • Solution: Area Composition workflows let you explicitly define layout, while Promptus CosyFlows make them accessible without technical setup.
  • Result: High-quality, controllable outputs that match your creative intent.

Final Thoughts

If you’ve been searching for ComfyUI workflows that give you more control over subject placement and scene design, (cosy) Area Composition and (cosy) Area Composition Square Area for Subject inside the Promptus Playground are the perfect place to start.


They combine the power of ComfyUI with the ease of Promptus CosyFlows, helping creators move from frustration to inspiration in just a few clicks.

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