Skills

Model Compatibility

Model family compatibility matrix covering loaders, resolutions, samplers, CFG, VAE...

Install

npx skills add artokun/comfyui-mcp --skill model-compatibility -g -a claude-code -y
Repository
artokun/comfyui-mcp883
Category
Media
Updated
9d ago
License
MIT
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Model family compatibility matrix covering loaders, resolutions, samplers, CFG, VAE, ControlNet, and LoRA compatibility for SD 1.5, SDXL, Flux, SD3, and video models

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

ParameterValue
LoaderCheckpointLoaderSimple
Native Resolution512x512
Supported Resolutions512x512, 512x768, 768x512, 768x768 (some fine-tunes)
VAEBuilt-in or external (vae-ft-mse-840000-ema-pruned.safetensors)
CLIPSingle CLIP-L (output index 1 from checkpoint)
Text Encoder NodeCLIPTextEncode
CFG Range7-12 (typical: 7.5)
Negative PromptYes, very important for quality
Steps20-30 (standard samplers)
SamplerAll standard samplers: euler, euler_ancestral, dpmpp_2m, dpmpp_sde, ddim
Schedulernormal, karras
Denoise1.0 (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.safetensors for better color accuracy
  • Load via VAELoader node and connect to VAEDecode
  • FP16 VAE can produce NaN on some images. FP32 VAE is more stable

ControlNet Compatibility

SD 1.5 has the largest ControlNet ecosystem:

Read the whole SKILL.md on GitHub

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