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 agentmods add skills/sandyup/comfyui-mcp/model-compatibilitynpx skills add sandyup/comfyui-mcp --skill model-compatibilitygit 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/model-compatibility)<a href="https://agentmods.dev/skills/sandyup/comfyui-mcp/model-compatibility"><img src="https://agentmods.dev/badge/skills/sandyup/comfyui-mcp/model-compatibility.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.04700 |
| Opus 5 | $0.00023 | $0.02350 |
| Sonnet 5 | $0.00009 | $0.00940 |
| Haiku 4.5 | $0.00005 | $0.00470 |
Grade A, and why
model-compatibility 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 3d 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
94% identical to model-compatibility — 28 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 — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI Model Compatibility Matrix
Stable Diffusion 1.5 (SD 1.5)
Overview
The original widely-adopted Stable Diffusion model. Huge ecosystem of fine-tunes, LoRAs, ControlNets, and embeddings. Still the most compatible and lightweight model family.
Configuration
| Parameter | Value |
|---|---|
| Loader | CheckpointLoaderSimple |
| Native Resolution | 512x512 |
| Supported Resolutions | 512x512, 512x768, 768x512, 768x768 (some fine-tunes) |
| VAE | Built-in or external (vae-ft-mse-840000-ema-pruned.safetensors) |
| CLIP | Single CLIP-L (output index 1 from checkpoint) |
| Text Encoder Node | CLIPTextEncode |
| CFG Range | 7-12 (typical: 7.5) |
| Negative Prompt | Yes — very important for quality |
| Steps | 20-30 (standard samplers) |
| Sampler | All standard samplers: euler, euler_ancestral, dpmpp_2m, dpmpp_sde, ddim |
| Scheduler | normal, karras |
| Denoise | 1.0 (txt2img), 0.5-0.8 (img2img) |
| VRAM (FP16) | ~2-3GB |
Workflow Pattern
CheckpointLoaderSimple → MODEL(0), CLIP(1), VAE(2)
CLIP(1) → CLIPTextEncode (positive) → CONDITIONING
CLIP(1) → CLIPTextEncode (negative) → CONDITIONING
EmptyLatentImage (width=512, height=512) → LATENT
KSampler (cfg=7.5, steps=20, sampler="euler", scheduler="normal") → LATENT
VAEDecode → IMAGE
SaveImage
VAE Notes
- Most SD 1.5 checkpoints have a built-in VAE, but it's often mediocre
- Recommended: Use external
vae-ft-mse-840000-ema-pruned.safetensorsfor better color accuracy - Load via
VAELoadernode and connect toVAEDecode - FP16 VAE can produce NaN on some images — FP32 VAE is more stable
ControlNet Compatibility
SD 1.5 has the largest ControlNet ecosystem:
| ControlNet | Model File Pattern | Notes |
|---|---|---|
| Canny | control_v11p_sd15_canny |
Edge detection |
| Depth | control_v11f1p_sd15_depth |
Depth map |
| OpenPose | control_v11p_sd15_openpose |
Skeleton/pose |
| Scribble | control_v11p_sd15_scribble |
Hand-drawn lines |
| Lineart | control_v11p_sd15_lineart |
Clean lines |
| Softedge | control_v11p_sd15_softedge |
Soft edges (HED) |
| Normal | control_v11p_sd15_normalbae |
Normal maps |
| Seg | control_v11p_sd15_seg |
Semantic segmentation |
| Tile | control_v11f1e_sd15_tile |
Tile/upscale guidance |
| Inpaint | control_v11p_sd15_inpaint |
Inpainting guidance |
| IP-Adapter | ip-adapter_sd15 |
Image prompt |
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.
- 3d ago First seen · 435 lines · 47 tokens per session scan A caeba5d3a822
model-compatibility is a skill published in the GitHub repository sandyup/comfyui-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 4,700 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to model-compatibility, differing in 28 lines, and is treated as a copy.
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