Creating Your First Workflow

​

What You’ll Build

• Loads a Stable Diffusion model
• Encodes positive and negative prompts
• Generates an image
• Saves the result

​

Prerequisites

• ComfyUI installed and running
• A Stable Diffusion checkpoint (e.g., v1-5-pruned-emaonly.safetensors) in models/checkpoints/

​

Complete Workflow JSON

{
  "3": {
    "class_type": "KSampler",
    "inputs": {
      "cfg": 8,
      "denoise": 1,
      "latent_image": ["5", 0],
      "model": ["4", 0],
      "negative": ["7", 0],
      "positive": ["6", 0],
      "sampler_name": "euler",
      "scheduler": "normal",
      "seed": 8566257,
      "steps": 20
    }
  },
  "4": {
    "class_type": "CheckpointLoaderSimple",
    "inputs": {
      "ckpt_name": "v1-5-pruned-emaonly.safetensors"
    }
  },
  "5": {
    "class_type": "EmptyLatentImage",
    "inputs": {
      "batch_size": 1,
      "height": 512,
      "width": 512
    }
  },
  "6": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "clip": ["4", 1],
      "text": "masterpiece best quality girl"
    }
  },
  "7": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "clip": ["4", 1],
      "text": "bad hands"
    }
  },
  "8": {
    "class_type": "VAEDecode",
    "inputs": {
      "samples": ["3", 0],
      "vae": ["4", 2]
    }
  },
  "9": {
    "class_type": "SaveImage",
    "inputs": {
      "filename_prefix": "ComfyUI",
      "images": ["8", 0]
    }
  }
}

​

Understanding the Workflow

​

Node Connections

• "4": Node ID to connect from
• 0: Output index from that node

​

The Generation Process

1. CheckpointLoaderSimple loads the model weights
2. CLIPTextEncode converts text prompts into embeddings
3. EmptyLatentImage creates a random noise tensor
4. KSampler iteratively denoises the latent based on your prompts
5. VAEDecode converts the latent to pixel space
6. SaveImage writes the PNG to disk

​

Next Steps

• Experiment with different prompts
• Try changing the seed for variations
• Adjust CFG scale (higher = follows prompt more closely)
• Increase steps for potentially better quality
• Learn about image-to-image workflows
• Explore ControlNet for precise control

​

Tips

• Use (word:1.2) to increase emphasis on specific terms
• Use (word:0.8) to decrease emphasis
• Escape special characters: \(, \), \{, \}
• Try different samplers (euler, dpm++, etc.) for different styles
• The scheduler controls noise reduction - “normal” works for most cases