Which models does this workflow use for text-to-image?

The workflow does not bundle a specific model. The Z-Image Turbo node uses whichever checkpoint you load in your ComfyUI environment (as exposed by that node). Point it to your preferred base model and VAE, and the rest of the graph will work unchanged.

How do I control the upscale amount and avoid over-sharpening?

Use the upscale factor or strength controls attached to the Z-Image Turbo/upscale stage. Start at 2x and increase only if needed. If edges look crunchy, reduce the upscale factor, lower the sharpening/strength (if available), or slightly increase generation steps for a cleaner base before upscaling.

What is ImageCompare showing me?

ImageCompare creates a side-by-side composite of the base (pre-upscale) image and the upscaled image. Use it to check detail gains and spot artifacts. If you don’t see the comparison, confirm both image outputs are connected to ImageCompare’s inputs before running.

How can I reproduce a result later?

Set and record a fixed seed in the Z-Image Turbo node and keep your prompt, steps, guidance, and upscale settings unchanged. SaveImage will write files with consistent naming; keeping the same seed and parameters will yield repeatable outputs with the same model and node settings.

AI on the Lot 2026 - Z-Image Turbo - t2i + Upscale

AI on the Lot 2026 - Z-Image Turbo - t2i + Upscale is a streamlined ComfyUI workflow that takes you from a text prompt to a polished, high-resolution image in one pass. It centers on a custom text-to-image node (Z-Image Turbo; UUID f2fdebf6-dfaf-43b6-9eb2-7f70613cfdc1) to generate the initial image and then routes the output through an integrated upscale stage for added detail and clarity. The SaveImage node captures your outputs to disk, while the ImageCompare node produces a side-by-side composite so you can visually judge how much quality the upscale added—and whether any artifacts were introduced.

Technically, the workflow chains a T2I generation step into an upscaling step, minimizing manual wiring and keeping your iteration loop tight. You enter your prompt (and optional negative prompt) in the Z-Image Turbo node, adjust core generation controls like seed, steps, and guidance (as exposed by the node), and set your target resolution or scale factor for the upscale stage. The ImageCompare node receives both the base and upscaled images to output a comparison image, and SaveImage records each stage with consistent filenames for easy A/B review. Because the T2I node accepts whichever checkpoint you load in your ComfyUI environment, you can pair this workflow with your preferred model without changing the graph.

API

Use this workflow from code

Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.

94ed41b87579.json

Fetching workflow JSON…

Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.

// Install (beta)
npm i @comfyorg/sdk

// Run this workflow (TypeScript)
import { Comfy } from "@comfyorg/sdk";

const client = new Comfy({ apiKey: "comfyui-..." });
const wf = await client.workflows.fromFile("workflow_api.json");
const job = await client.run(wf);
await job.getOutputs("<output-node-id>")[0].toFile("output.png");

The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).

Comfy Cloud API access requires a plan with an API key.

SDK docs Get an API key

FAQ

Frequently Asked Questions