Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sandyup/comfyui-mcp --skill qwen-txt2imggit clone --depth 1 https://github.com/sandyup/comfyui-mcpWrote 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/sandyup/comfyui-mcp/qwen-txt2img)<a href="https://agentmods.dev/skills/sandyup/comfyui-mcp/qwen-txt2img"><img src="https://agentmods.dev/badge/skills/sandyup/comfyui-mcp/qwen-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/sandyup/comfyui-mcp/qwen-txt2img"><img src="https://agentmods.dev/badge/skills/sandyup/comfyui-mcp/qwen-txt2img.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00041 | $0.03921 |
| Opus 5 | $0.00020 | $0.01961 |
| Sonnet 5 | $0.00008 | $0.00784 |
| Haiku 4.5 | $0.00004 | $0.00392 |
Grade A, and why
qwen-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 12d 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.
This is a copy
89% identical to qwen-txt2img — 58 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qwen Image 2512 Text-to-Image Workflows
Overview
Qwen Image 2512 is the latest (December 2025) text-to-image model from the Qwen family. It uses a vision-language model (Qwen2.5-VL) as the text encoder and generates high-quality images from natural language prompts. Two workflow approaches:
- QwenImageIntegratedKSampler — All-in-one node (recommended for simplicity)
- Separate component loading — UNETLoader + CLIPLoader + VAELoader + standard KSampler (more flexible)
Models
Standard Components
| Component | Node | Model | Notes |
|---|---|---|---|
| UNET | UNETLoader |
qwen_image_2512_fp8_e4m3fn.safetensors |
FP8, not currently installed — download if needed |
| CLIP | CLIPLoader (type=qwen_image) |
qwen_2.5_vl_7b_fp8_scaled.safetensors |
Shared across all Qwen models, in clip/ |
| VAE | VAELoader |
qwen_image_vae.safetensors |
Qwen-specific VAE (242MB) |
Fine-tuned Variants (Installed)
| Model | Path | Focus |
|---|---|---|
qwenImageEditRemix_v10 |
diffusion_models/qwenImageEditRemix_v10.safetensors |
General-purpose remix |
qwenUltimateRealism_v11 |
UNETLoader path | Product photography, hyper-realistic |
copaxTimeless |
UNETLoader path | Ultra-realistic portraits |
qwnImageEdit_v16Bf16 |
UNETLoader path | Abliterated (uncensored) |
Lightning LoRAs
4-Step Lightning (General Qwen / txt2img)
{
"class_type": "LoraLoaderModelOnly",
"inputs": {
"model": ["<unet_node>", 0],
"lora_name": "Qwen-Image-Lightning-4steps-V1.0.safetensors",
"strength_model": 1.0
}
}
Settings: steps=4, cfg=1.0, sampler=euler, scheduler=simple, denoise=1.0
8-Step Lightning (Higher Quality)
{
"class_type": "LoraLoaderModelOnly",
"inputs": {
"model": ["<unet_node>", 0],
"lora_name": "Qwen-Image-Lightning-8steps-V1.0.safetensors",
"strength_model": 1.0
}
}
Settings: steps=8, cfg=1.0 (or 2.5 for character detail), sampler=euler, scheduler=simple
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.
- 12d ago First seen · 333 lines · 41 tokens per session scan A 3399e01078bd
qwen-txt2img is a skill published in the GitHub repository sandyup/comfyui-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 3,921 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to qwen-txt2img, differing in 58 lines, and is treated as a copy.
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