Stable Cascade Workflow

instructions.md

https://huggingface.co/stabilityai/stable-cascade/tree/main

stage_b.safetensors and stage_c.safetensors (you can use the bf16 versions) go in ComfyUI/models/unet

stage_a.safetensors goes in ComfyUI/models/vae

and this: https://huggingface.co/stabilityai/stable-cascade/blob/main/text_encoder/model.safetensors goes in the ComfyUI/models/clip/ folder to be loaded with the Load CLIP node in the workflow

stable_cascade_workflow_test.json

{
  "last_node_id": 40,
  "last_link_id": 112,
  "nodes": [
    {
      "id": 34,
      "type": "StableCascade_EmptyLatentImage",
      "pos": [
        205,
        705
      ],
      "size": {
        "0": 315,
        "1": 150
      },
      "flags": {},
      "order": 0,
      "mode": 0,
      "outputs": [
        {
          "name": "stage_c",
          "type": "LATENT",
          "links": [
            82
          ],
          "shape": 3,
          "slot_index": 0
        },
        {
          "name": "stage_b",
          "type": "LATENT",
          "links": [
            83
          ],
          "shape": 3,
          "slot_index": 1
        }
      ],
      "properties": {
        "Node name for S&R": "StableCascade_EmptyLatentImage"
      },
      "widgets_values": [
        1024,
        1024,
        42,
        1
      ]
    },
    {
      "id": 30,
      "type": "UNETLoader",
      "pos": [
        -240,
        288
      ],
      "size": {
        "0": 315,
        "1": 58
      },
      "flags": {},
      "order": 1,
      "mode": 0,
      "outputs": [
        {
          "name": "MODEL",
          "type": "MODEL",
          "links": [
            76
          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "UNETLoader"
      },
      "widgets_values": [
        "stage_c.safetensors"
      ]
    },
    {
      "id": 37,
      "type": "CLIPLoader",
      "pos": [
        -240,
        384
      ],
      "size": {
        "0": 315,
        "1": 82
      },
      "flags": {},
      "order": 2,
      "mode": 0,
      "outputs": [
        {
          "name": "CLIP",
          "type": "CLIP",
          "links": [
            93,
            94
          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "CLIPLoader"
      },
      "widgets_values": [
        "clip_g_sdxl.fp16.safetensors",
        "stable_cascade"
      ]
    },
    {
      "id": 29,
      "type": "VAELoader",
      "pos": [
        1272,
        569
      ],
      "size": {
        "0": 315,
        "1": 58
      },
      "flags": {},
      "order": 3,
      "mode": 0,
      "outputs": [
        {
          "name": "VAE",
          "type": "VAE",
          "links": [
            68
          ],
          "shape": 3
        }
      ],
      "properties": {
        "Node name for S&R": "VAELoader"
      },
      "widgets_values": [
        "stage_a.safetensors"
      ]
    },
    {
      "id": 8,
      "type": "VAEDecode",
      "pos": [
        1621,
        267
      ],
      "size": {
        "0": 210,
        "1": 46
      },
      "flags": {},
      "order": 10,
      "mode": 0,
      "inputs": [
        {
          "name": "samples",
          "type": "LATENT",
          "link": 98
        },
        {
          "name": "vae",
          "type": "VAE",
          "link": 68,
          "slot_index": 1
        }
      ],
      "outputs": [
        {
          "name": "IMAGE",
          "type": "IMAGE",
          "links": [
            9
          ],
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "VAEDecode"
      }
    },
    {
      "id": 9,
      "type": "SaveImage",
      "pos": [
        1864,
        269
      ],
      "size": {
        "0": 935.7432250976562,
        "1": 1006.83154296875
      },
      "flags": {},
      "order": 11,
      "mode": 0,
      "inputs": [
        {
          "name": "images",
          "type": "IMAGE",
          "link": 9
        }
      ],
      "properties": {},
      "widgets_values": [
        "wuer/ComfyUI"
      ]
    },
    {
      "id": 32,
      "type": "UNETLoader",
      "pos": [
        -240,
        192
      ],
      "size": {
        "0": 315,
        "1": 58
      },
      "flags": {},
      "order": 4,
      "mode": 0,
      "outputs": [
        {
          "name": "MODEL",
          "type": "MODEL",
          "links": [
            84
          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "UNETLoader"
      },
      "widgets_values": [
        "stage_b.safetensors"
      ]
    },
    {
      "id": 3,
      "type": "KSampler",
      "pos": [
        616,
        315
      ],
      "size": {
        "0": 315,
        "1": 262
      },
      "flags": {},
      "order": 7,
      "mode": 0,
      "inputs": [
        {
          "name": "model",
          "type": "MODEL",
          "link": 76,
          "slot_index": 0
        },
        {
          "name": "positive",
          "type": "CONDITIONING",
          "link": 107
        },
        {
          "name": "negative",
          "type": "CONDITIONING",
          "link": 108
        },
        {
          "name": "latent_image",
          "type": "LATENT",
          "link": 82
        }
      ],
      "outputs": [
        {
          "name": "LATENT",
          "type": "LATENT",
          "links": [
            88
          ],
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "KSampler"
      },
      "widgets_values": [
        431329770300382,
        "randomize",
        20,
        4,
        "euler_ancestral",
        "simple",
        1
      ]
    },
    {
      "id": 33,
      "type": "KSampler",
      "pos": [
        1278,
        265
      ],
      "size": {
        "0": 315,
        "1": 262
      },
      "flags": {},
      "order": 9,
      "mode": 0,
      "inputs": [
        {
          "name": "model",
          "type": "MODEL",
          "link": 84,
          "slot_index": 0
        },
        {
          "name": "positive",
          "type": "CONDITIONING",
          "link": 86
        },
        {
          "name": "negative",
          "type": "CONDITIONING",
          "link": 112
        },
        {
          "name": "latent_image",
          "type": "LATENT",
          "link": 83
        }
      ],
      "outputs": [
        {
          "name": "LATENT",
          "type": "LATENT",
          "links": [
            98
          ],
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "KSampler"
      },
      "widgets_values": [
        242719335273011,
        "randomize",
        10,
        1.1,
        "euler_ancestral",
        "simple",
        1
      ]
    },
    {
      "id": 6,
      "type": "CLIPTextEncode",
      "pos": [
        96,
        288
      ],
      "size": {
        "0": 422.84503173828125,
        "1": 164.31304931640625
      },
      "flags": {},
      "order": 5,
      "mode": 0,
      "inputs": [
        {
          "name": "clip",
          "type": "CLIP",
          "link": 93
        }
      ],
      "outputs": [
        {
          "name": "CONDITIONING",
          "type": "CONDITIONING",
          "links": [
            107,
            111
          ],
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "CLIPTextEncode"
      },
      "widgets_values": [
        "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,"
      ]
    },
    {
      "id": 7,
      "type": "CLIPTextEncode",
      "pos": [
        96,
        480
      ],
      "size": {
        "0": 425.27801513671875,
        "1": 180.6060791015625
      },
      "flags": {},
      "order": 6,
      "mode": 0,
      "inputs": [
        {
          "name": "clip",
          "type": "CLIP",
          "link": 94
        }
      ],
      "outputs": [
        {
          "name": "CONDITIONING",
          "type": "CONDITIONING",
          "links": [
            108,
            112
          ],
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "CLIPTextEncode"
      },
      "widgets_values": [
        ""
      ]
    },
    {
      "id": 36,
      "type": "StableCascade_StageB_Conditioning",
      "pos": [
        955,
        274
      ],
      "size": {
        "0": 277.20001220703125,
        "1": 46
      },
      "flags": {},
      "order": 8,
      "mode": 0,
      "inputs": [
        {
          "name": "conditioning",
          "type": "CONDITIONING",
          "link": 111
        },
        {
          "name": "stage_c",
          "type": "LATENT",
          "link": 88
        }
      ],
      "outputs": [
        {
          "name": "CONDITIONING",
          "type": "CONDITIONING",
          "links": [
            86
          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "StableCascade_StageB_Conditioning"
      }
    }
  ],
  "links": [
    [
      9,
      8,
      0,
      9,
      0,
      "IMAGE"
    ],
    [
      68,
      29,
      0,
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      "VAE"
    ],
    [
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      0,
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    [
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    [
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      "CLIP"
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    [
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      0,
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    [
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    ],
    [
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    [
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    [
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  ],
  "groups": [],
  "config": {},
  "extra": {},
  "version": 0.4
}

Save time on finding and placing models in the correct locations by using the ComfyUI Manager model feature. Someone has uploaded them all:

Bug in these instructions:

stable_cascade_workflow_test.json:
search for: "clip_g_sdxl.fp16.safetensors"
change to: "model.safetensors"

Further instructions for noobs to get Stable Cascade to work:

• Download and extract ComfyUI.
• Download the suggested models and place in the suggested directories.
• Put the "stable_cascade_workflow_test.json" file anywhere.
• Fix its bug that I described above.
• Open ComfyUI using "run_nvidia_gpu.bat".
• Click "Load" and load in the stable_cascade_workflow_test.json.
• Click "Queue prompt". ComfyUI will do its thing, and a generated bottle should appear.
• This whole business is currently fiddly as hell, but from here you should be able to tinker your way into some good images.
• Hint: the commas in the bottle prompt do mysterious but important things. I'd tell you if I myself understood it.

Bug in these instructions:

stable_cascade_workflow_test.json: search for: "clip_g_sdxl.fp16.safetensors" change to: "model.safetensors"

Further instructions for noobs to get Stable Cascade to work:

• Download and extract ComfyUI.
• Download the suggested models and place in the suggested directories.
• Put the "stable_cascade_workflow_test.json" file anywhere.
• Fix its bug that I described above.
• Open ComfyUI using "run_nvidia_gpu.bat".
• Click "Load" and load in the stable_cascade_workflow_test.json.
• Click "Queue prompt". ComfyUI will do its thing, and a generated bottle should appear.
• This whole business is currently fiddly as hell, but from here you should be able to tinker your way into some good images.
• Hint: the commas in the bottle prompt do mysterious but important things. I'd tell you if I myself understood it.

thanks a lot!

Note that OP posted this gist initially as a prototype, and a lot has changed since then. Your best path is going to be to start from his Stable Cascade examples. You'll notice that Stability AI released models with CLIP embedded, and other changes result in a simplified workflow.

Can you help me please? My comfyui dont find these missing nodes:
EmptyLatent and Conditioning.
Searching doesnt return any results. Is there way to manually install this? Can find it. Thanks a lot in advance!

I downloaded the models to the required folders as specified above.
And it started to download:

model.safetensors
diffusion_pytorch_model.safetensors

where did it download these? as I already have them in another directory - and they are quite large to have "doubled up"

EDIT:
No matter, currently not supporting ML (there is a surprise - not blaming this community or its dev's btw)

Loading pipeline components...:   0%|                                | 0/6 [00:00<?, ?it/s]The config attributes {'c_in': 16} were passed to StableCascadeUnet, but are not expected and will be ignored. Please verify your config.json configuration file.
Loading pipeline components...: 100%|████████████████████████| 6/6 [00:01<00:00,  3.82it/s]
[F D:\a\_work\1\s\pytorch-directml-plugin\torch_directml\csrc\engine\dml_util.cc:118] Invalid or unsupported data type.