---
title: "ComfyUI Workflow to ComfyUI Workflow for ComfyUI Workflow for Flux Schnell Example"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/comfyui-comfyui-workflow-for-comfyui-workflow-for-flux-schnell-example"
modality: "WORKFLOW"
category: "ComfyUI Workflows"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# ComfyUI Workflow to ComfyUI Workflow for ComfyUI Workflow for Flux Schnell Example

**Summary:** ComfyUI Workflow to ComfyUI Workflow for ComfyUI Workflow for Flux Schnell Example is a verified WORKFLOW blueprint on Promptally in ComfyUI Workflows optimized for leading AI models. Automated ComfyUI node graph blueprint for ComfyUI Workflow for ComfyUI Workflow for Flux Schnell Example. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | WORKFLOW |
| Category | ComfyUI Workflows |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 2,734 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

```json
{
  "last_node_id": 27,
  "last_link_id": 40,
  "nodes": [
    {
      "id": 13,
      "type": "SamplerCustomAdvanced",
      "pos": [
        842,
        215
      ],
      "size": {
        "0": 355.20001220703125,
        "1": 106
      },
      "flags": {},
      "order": 11,
      "mode": 0,
      "inputs": [
        {
          "name": "noise",
          "type": "NOISE",
          "link": 37,
          "slot_index": 0
        },
        {
          "name": "guider",
          "type": "GUIDER",
          "link": 30,
          "slot_index": 1
        },
        {
          "name": "sampler",
          "type": "SAMPLER",
          "link": 19,
          "slot_index": 2
        },
        {
          "name": "sigmas",
          "type": "SIGMAS",
          "link": 20,
          "slot_index": 3
        },
        {
          "name": "latent_image",
          "type": "LATENT",
          "link": 23,
          "slot_index": 4
        }
      ],
      "outputs": [
        {
          "name": "output",
          "type": "LATENT",
          "links": [
            24
          ],
          "shape": 3,
          "slot_index": 0
        },
        {
          "name": "denoised_output",
          "type": "LATENT",
          "links": null,
          "shape": 3
        }
      ],
      "properties": {
        "Node name for S&R": "SamplerCustomAdvanced"
      }
    },
    {
      "id": 8,
      "type": "VAEDecode",
      "pos": [
        1248,
        192
      ],
      "size": {
        "0": 210,
        "1": 46
      },
      "flags": {},
      "order": 12,
      "mode": 0,
      "inputs": [
        {
          "name": "samples",
          "type": "LATENT",
          "link": 24
        },
        {
          "name": "vae",
          "type": "VAE",
          "link": 12
        }
      ],
      "outputs": [
        {
          "name": "IMAGE",
          "type": "IMAGE",
          "links": [
            9
          ],
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "VAEDecode"
      }
    },
    {
      "id": 10,
      "type": "VAELoader",
      "pos": [
        48,
        384
      ],
      "size": {
        "0": 315,
        "1": 58
      },
      "flags": {},
      "order": 0,
      "mode": 0,
      "outputs": [
        {
          "name": "VAE",
          "type": "VAE",
          "links": [
            12
          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "VAELoader"
      },
      "widgets_values": [
        "ae.safetensors"
      ]
    },
    {
      "id": 11,
      "type": "DualCLIPLoader",
      "pos": [
        48,
        240
      ],
      "size": {
        "0": 315,
        "1": 106
      },
      "flags": {},
      "order": 1,
      "mode": 0,
      "outputs": [
        {
          "name": "CLIP",
          "type": "CLIP",
          "links": [
            10
          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "DualCLIPLoader"
      },
      "widgets_values": [
        "t5xxl_fp16.safetensors",
        "clip_l.safetensors",
        "flux"
      ]
    },
    {
      "id": 12,
      "type": "UNETLoader",
      "pos": [
        48,
        96
      ],
      "size": {
        "0": 315,
        "1": 82
      },
      "flags": {},
      "order": 2,
      "mode": 0,
      "outputs": [
        {
          "name": "MODEL",
          "type": "MODEL",
          "links": [
            38,
            39
          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "UNETLoader"
      },
      "widgets_values": [
        "flux1-schnell.safetensors",
        "default"
      ],
      "color": "#223",
      "bgcolor": "#335"
    },
    {
      "id": 26,
      "type": "Note",
      "pos": [
        48,
        480
      ],
      "size": {
        "0": 336,
        "1": 288
      },
      "flags": {},
      "order": 3,
      "mode": 0,
      "properties": {
        "text": ""
      },
      "widgets_values": [
        "If you get an error in any of the nodes above make sure the files are in the correct directories.\n\nSee the top of the examples page for the links : https://comfyanonymous.github.io/ComfyUI_examples/flux/\n\nflux1-schnell.safetensors goes in: ComfyUI/models/unet/\n\nt5xxl_fp16.safetensors and clip_l.safetensors go in: ComfyUI/models/clip/\n\nae.safetensors goes in: ComfyUI/models/vae/\n\n\nTip: You can set the weight_dtype above to one of the fp8 types if you have memory issues."
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 22,
      "type": "BasicGuider",
      "pos": [
        559,
        125
      ],
      "size": {
        "0": 241.79998779296875,
        "1": 46
      },
      "flags": {},
      "order": 10,
      "mode": 0,
      "inputs": [
        {
          "name": "model",
          "type": "MODEL",
          "link": 39,
          "slot_index": 0
        },
        {
          "name": "conditioning",
          "type": "CONDITIONING",
          "link": 40,
          "slot_index": 1
        }
      ],
      "outputs": [
        {
          "name": "GUIDER",
          "type": "GUIDER",
          "links": [
            30
          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "BasicGuider"
      }
    },
    {
      "id": 5,
      "type": "EmptyLatentImage",
      "pos": [
        480,
        432
      ],
      "size": {
        "0": 315,
        "1": 106
      },
      "flags": {},
      "order": 4,
      "mode": 0,
      "outputs": [
        {
          "name": "LATENT",
          "type": "LATENT",
          "links": [
            23
          ],
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "EmptyLatentImage"
      },
      "widgets_values": [
        1024,
        1024,
        1
      ],
      "color": "#323",
      "bgcolor": "#535"
    },
    {
      "id": 25,
      "type": "RandomNoise",
      "pos": [
        480,
        576
      ],
      "size": {
        "0": 315,
        "1": 82
      },
      "flags": {},
      "order": 5,
      "mode": 0,
      "outputs": [
        {
          "name": "NOISE",
          "type": "NOISE",
          "links": [
            37
          ],
          "shape": 3
        }
      ],
      "properties": {
        "Node name for S&R": "RandomNoise"
      },
      "widgets_values": [
        112298569477003,
        "randomize"
      ],
      "color": "#2a363b",
      "bgcolor": "#3f5159"
    },
    {
      "id": 16,
      "type": "KSamplerSelect",
      "pos": [
        480,
        720
      ],
      "size": {
        "0": 315,
        "1": 58
      },
      "flags": {},
      "order": 6,
      "mode": 0,
      "outputs": [
        {
          "name": "SAMPLER",
          "type": "SAMPLER",
          "links": [
            19
          ],
          "shape": 3
        }
      ],
      "properties": {
        "Node name for S&R": "KSamplerSelect"
      },
      "widgets_values": [
        "euler"
      ]
    },
    {
      "id": 17,
      "type": "BasicScheduler",
      "pos": [
        480,
        816
      ],
      "size": {
        "0": 315,
        "1": 106
      },
      "flags": {},
      "order": 9,
      "mode": 0,
      "inputs": [
        {
          "name": "model",
          "type": "MODEL",
          "link": 38,
          "slot_index": 0
        }
      ],
      "outputs": [
        {
          "name": "SIGMAS",
          "type": "SIGMAS",
          "links": [
            20
          ],
          "shape": 3
        }
      ],
      "properties": {
        "Node name for S&R": "BasicScheduler"
      },
      "widgets_values": [
        "simple",
        4,
        1
      ]
    },
    {
      "id": 27,
      "type": "Note",
      "pos": [
        480,
        960
      ],
      "size": {
        "0": 311.3529052734375,
        "1": 131.16229248046875
      },
      "flags": {},
      "order": 7,
      "mode": 0,
      "properties": {
        "text": ""
      },
      "widgets_values": [
        "The schnell model is a distilled model that can generate a good image with only 4 steps."
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 9,
      "type": "SaveImage",
      "pos": [
        1488,
        192
      ],
      "size": {
        "0": 985.3012084960938,
        "1": 1060.3828125
      },
      "flags": {},
      "order": 13,
      "mode": 0,
      "inputs": [
        {
          "name": "images",
          "type": "IMAGE",
          "link": 9
        }
      ],
      "properties": {},
      "widgets_values": [
        "ComfyUI"
      ]
    },
    {
      "id": 6,
      "type": "CLIPTextEncode",
      "pos": [
        375,
        221
      ],
      "size": {
        "0": 422.84503173828125,
        "1": 164.31304931640625
      },
      "flags": {},
      "order": 8,
      "mode": 0,
      "inputs": [
        {
          "name": "clip",
          "type": "CLIP",
          "link": 10
        }
      ],
      "outputs": [
        {
          "name": "CONDITIONING",
          "type": "CONDITIONING",
          "links": [
            40
          ],
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "CLIPTextEncode"
      },
      "widgets_values": [
        "a bottle with a beautiful rainbow galaxy inside it on top of a wooden table in the middle of a modern kitchen beside a plate of vegetables and mushrooms and a wine glasse that contains a planet earth with a plate with a half eaten apple pie on it"
      ],
      "color": "#232",
      "bgcolor": "#353"
    }
  ],
  "links": [
    [
      9,
      8,
      0,
      9,
      0,
      "IMAGE"
    ],
    [
      10,
      11,
      0,
      6,
      0,
      "CLIP"
    ],
    [
      12,
      10,
      0,
      8,
      1,
      "VAE"
    ],
    [
      19,
      16,
      0,
      13,
      2,
      "SAMPLER"
    ],
    [
      20,
      17,
      0,
      13,
      3,
      "SIGMAS"
    ],
    [
      23,
      5,
      0,
      13,
      4,
      "LATENT"
    ],
    [
      24,
      13,
      0,
      8,
      0,
      "LATENT"
    ],
    [
      30,
      22,
      0,
      13,
      1,
      "GUIDER"
    ],
    [
      37,
      25,
      0,
      13,
      0,
      "NOISE"
    ],
    [
      38,
      12,
      0,
      17,
      0,
      "MODEL"
    ],
    [
      39,
      12,
      0,
      22,
      0,
      "MODEL"
    ],
    [
      40,
      6,
      0,
      22,
      1,
      "CONDITIONING"
    ]
  ],
  "groups": [],
  "config": {},
  "extra": {
    "ds": {
      "scale": 0.9090909090909091,
      "offset": [
        3.4414091410193346,
        -8.568185703424684
      ]
    }
  },
  "version": 0.4
}
```

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

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