Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/artokun/comfyui-mcpnpx agentmods add skills/artokun/comfyui-mcp/z-image-txt2imgWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/artokun/comfyui-mcp/z-image-txt2img)<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/z-image-txt2img"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/z-image-txt2img/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/z-image-txt2img"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/z-image-txt2img.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.03484 |
| Opus 5 | $0.00017 | $0.01742 |
| Sonnet 5 | $0.00007 | $0.00697 |
| Haiku 4.5 | $0.00003 | $0.00348 |
Grade A, and why
z-image-txt2img scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- z-image-txt2img — 89% identical, 55 lines differ
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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-attentionfor Z-Image. Seecomfyui-launch-flags.
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:
- Z-Image Base (and RedCraft finetune). Full model, supports negative prompts, LoRA training, ControlNet. 10-30 steps.
- 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 |
|---|---|---|---|
| Checkpoint | CheckpointLoaderSimple |
redcraftRedzimageUpdatedJAN30_redzibDX1.safetensors |
17GB, bundles UNET+CLIP+VAE |
RedCraft is a Z-Image Base finetune by the RedCraft team. Designed for faster inference than stock Z-Image Base. Uses CheckpointLoaderSimple since it's a combined checkpoint, so no separate loaders are needed.
Z-Image Turbo (Separate Components — May Need Download)
| Component | Node | Model | Notes |
|---|---|---|---|
| UNET | UNETLoader |
z_image_turbo_bf16.safetensors |
Not currently installed |
| CLIP | CLIPLoader (type=qwen_image) |
qwen_3_4b.safetensors |
Not currently installed |
| VAE | VAELoader |
z-image-ae.safetensors |
320MB. Flux VAE architecture but different weights — NOT the same file as Flux's ae.safetensors. From Comfy-Org/z_image_turbo (split_files/vae/ae.safetensors) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 305 lines · 35 tokens per session scan A 19aadbe2b4dd
z-image-txt2img is a skill published in the GitHub repository artokun/comfyui-mcp (740 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 3,484 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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