🔥 Sexiam’s SDXL Txt2Img Workflow (ComfyUI)

A simple, reliable workflow built for clean detail, strong structure, and automatic Civitai metadata detection.

If you want a workflow that “just works” — clean generations, sharp details, and all your LoRAs + prompts properly detected by Civitai — this walkthrough covers exactly how my setup runs.

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1️⃣ Load Your Checkpoint (and VAE if you want)

Start by loading your SDXL checkpoint.
If you prefer a different VAE, load it here — the toggle swaps between the checkpoint’s VAE and whatever VAE you manually provide.

This gives you full control over color, clarity, and contrast right at the start.

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2️⃣ Add Your LoRAs

Hit Add LoRA → pick what you want.

Pro move:
Right-click a LoRA → ComfyUI instantly shows its trigger words.
Copy them into your prompt and you’re already ahead of 90% of users.

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3️⃣ Pick Your Image Size (Latent Space)

Use the Latent Size Picker to select your standard SDXL 1MP resolutions.

Want more detail in the base generation?

• Add Upscale Latent By

• Set the value to 1.5×

1.5× is the sweet spot.
Higher than that = more errors, weird proportions, or flat results since SDXL isn’t trained on massive latent sizes.

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4️⃣ Write Your Prompts (Positive + Negative)

Fill out your positive and negative prompts using the green and red TextEncode nodes.

If you’re planning to post on Civitai:

👉 Use ImpactWildcardEncode

It automatically embeds LoRA filenames into your metadata so Civitai recognizes everything — model, LoRAs, sampler, steps, seed, prompts, the whole stack.

No manual cleanup needed.

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5️⃣ Two-Pass KSampler System (The Core of the Workflow)

This is the heart of the setup: a clean, controlled generation pass followed by a refinement pass.

KSampler #1 — Full Generation

• Denoise: 1.00
  This creates your full image from noise.
  Think of it as the “big picture” pass.

KSampler #2 — Refinement

• Denoise: 0.45
  This tightens edges, improves materials, sharpens lighting, and adds definition without overwriting the original structure.

Together, they give you consistency + clarity without overbaking your images.

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6️⃣ Optional: Third Pass + Model Upscaling

Want a print-ready or ultra-crisp final?

This workflow includes a third KSampler connected to a full Upscale By Model system:

1. Third sampler reprocesses the refined latent

2. Image Upscale With Model applies your favorite upscale model (4xRemacri, UltraSharp, etc.)

3. Upscale Image % sets your final dimension boost

You get clean high-res results without blowing up faces, hands, or fine textures.

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7️⃣ Final Output (Civitai-Compatible Metadata)

The last node handles everything automatically.

It records:

• Checkpoint name

• LoRAs used

• Positive prompt

• Negative prompt

• Steps

• CFG

• Sampler + Scheduler

• Width / Height

• Seed

• Upscale model

• And more

Upload to Civitai and it all shows up perfectly — no missing tags, no guessing, no manual editing.