z-image-txt2img SKILL.md skillA

z-image-txt2img from artokun/comfyui-mcp is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add artokun/comfyui-mcp/z-image-txt2img@git:20260825.ea35391

Pins git:20260825.ea35391 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
artokun/comfyui-mcp
Path
plugin/skills/z-image-txt2img/SKILL.md
Versions recorded
5
Latest version
git:20260825.ea35391, committed Aug 25, 2026
First version recorded
Feb 17, 2026
Size
11,405 bytes
Repository stars
896
License
MIT

Build Z-Image txt2img workflows. RedCraft checkpoint, Z-Image Turbo/Base LoRAs, ControlNet, and sampler presets.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Z-Image Text-to-Image Workflows

> **Launch flag.** Z-Image does not sample correctly under
> `--use-sage-attention` (black / garbled output). Launch ComfyUI with
> `--use-pytorch-cross-attention` for Z-Image. See
> [`comfyui-launch-flags`](../comfyui-launch-flags/SKILL.md).

## Overview

Z-Image is a 6B-parameter image generation model from Alibaba's Tongyi Lab using a Scalable Single-Stream DiT (S3-DiT) architecture. It uses a Qwen text encoder (not CLIP-L/T5). Its VAE shares the Flux VAE architecture (same tensor shapes, so the file is the same 320MB size) but ships different weights. It is NOT byte-identical to Flux's `ae.safetensors` and must be kept as a separate file (`z-image-ae.safetensors`) to avoid clobbering the Flux VAE. Two variants:

1. Z-Image Base (and RedCraft finetune). Full model, supports negative prompts, LoRA training, ControlNet. 10-30 steps.
2. Z-Image Turbo. DMD-distilled, 8-10 steps, no effective negative prompts (CFG baked in).

## Models

### RedCraft Redzimage DX1 (Installed — Combined Checkpoint)

| Component | Node | Model | Notes |
|-----------|------|-------|-------|
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add artokun/comfyui-mcp/z-image-txt2img@sha256:19aadbe2b4ddaddc

The line at the top of this page pins the label git:20260825.ea35391, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bip45kze7mhllrlv.svg)](https://markdownregistry.com/a/art_bip45kze7mhllrlv)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Feb 17, 2026 and Aug 25, 2026, about one every 47 days.

versioncommittedcommitsizeaudit
git:20260825.ea35391 latest2026-08-25 ea35391 11,405 BA view · diff
git:20260819.9fe9ea32026-08-19 9fe9ea3 11,523 BA view · diff
git:20260702.88ba44d2026-07-02 88ba44d 11,340 BA view · diff
git:20260618.108762b2026-06-18 108762b 11,081 BA view · diff
git:20260217.ad5f66d2026-02-17 ad5f66d 10,598 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11405 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

artokun/comfyui-mcp · 896 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bip45kze7mhllrlv
GET https://markdownregistry.com/api/v1/resolve?ref=artokun/comfyui-mcp/z-image-txt2img
GET https://markdownregistry.com/api/v1/blob/19aadbe2b4ddaddc9e58b74b40f8ffc06e1f227a1f2abb021d7a4a532f9db129

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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