pearsonkyle/360-panorama:5f638558 – Run with an API on Replicate

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pearsonkyle /360-panorama:5f638558

Input

workflow_json

string

Shift + Return to add a new line

{
  "4": {
    "inputs": {
      "ckpt_name": "dreamshaperXL_v21TurboDPMSDE.safetensors"
    },
    "class_type": "CheckpointLoaderSimple",
    "_meta": {
      "title": "Load Checkpoint"
    }
  },
  "5": {
    "inputs": {
      "width": 2048,
      "height": 1024,
      "batch_size": 1
    },
    "class_type": "EmptyLatentImage",
    "_meta": {
      "title": "Empty Latent Image"
    }
  },
  "6": {
    "inputs": {
      "text": "hidden magical world, equirectangular, 360 panorama",
      "clip": [
        "10",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "7": {
    "inputs": {
      "text": "boring, text ,signature, watermark, low quality, bad quality, grainy, blurry, long neck, closed eyes",
      "clip": [
        "10",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "9": {
    "inputs": {
      "filename_prefix": "Image",
      "images": [
        "15",
        0
      ]
    },
    "class_type": "SaveImage",
    "_meta": {
      "title": "Save Image"
    }
  },
  "10": {
    "inputs": {
      "lora_name": "360RedmondResized.safetensors",
      "strength_model": 0.75,
      "strength_clip": 1,
      "model": [
        "4",
        0
      ],
      "clip": [
        "4",
        1
      ]
    },
    "class_type": "LoraLoader",
    "_meta": {
      "title": "Load LoRA"
    }
  },
  "11": {
    "inputs": {
      "seed": 761207467289106,
      "steps": 9,
      "cfg": 2.8000000000000003,
      "sampler_name": "dpmpp_sde_gpu",
      "scheduler": "karras",
      "denoise": 1,
      "tileX": 1,
      "tileY": 0,
      "model": [
        "10",
        0
      ],
      "positive": [
        "6",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "5",
        0
      ]
    },
    "class_type": "xy_Tiling_KSampler",
    "_meta": {
      "title": "Jags-XY_tile sampler"
    }
  },
  "15": {
    "inputs": {
      "samples": [
        "11",
        0
      ],
      "vae": [
        "22",
        0
      ]
    },
    "class_type": "CircularVAEDecode",
    "_meta": {
      "title": "Jags-CircularVAEDecode"
    }
  },
  "22": {
    "inputs": {
      "vae_name": "sdxl.vae.safetensors"
    },
    "class_type": "VAELoader",
    "_meta": {
      "title": "Load VAE"
    }
  }
}{
  "4": {
    "inputs": {
      "ckpt_name": "dreamshaperXL_v21TurboDPMSDE.safetensors"
    },
    "class_type": "CheckpointLoaderSimple",
    "_meta": {
      "title": "Load Checkpoint"
    }
  },
  "5": {
    "inputs": {
      "width": 2048,
      "height": 1024,
      "batch_size": 1
    },
    "class_type": "EmptyLatentImage",
    "_meta": {
      "title": "Empty Latent Image"
    }
  },
  "6": {
    "inputs": {
      "text": "hidden magical world, equirectangular, 360 panorama",
      "clip": [
        "10",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "7": {
    "inputs": {
      "text": "boring, text ,signature, watermark, low quality, bad quality, grainy, blurry, long neck, closed eyes",
      "clip": [
        "10",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "9": {
    "inputs": {
      "filename_prefix": "Image",
      "images": [
        "15",
        0
      ]
    },
    "class_type": "SaveImage",
    "_meta": {
      "title": "Save Image"
    }
  },
  "10": {
    "inputs": {
      "lora_name": "360RedmondResized.safetensors",
      "strength_model": 0.75,
      "strength_clip": 1,
      "model": [
        "4",
        0
      ],
      "clip": [
        "4",
        1
      ]
    },
    "class_type": "LoraLoader",
    "_meta": {
      "title": "Load LoRA"
    }
  },
  "11": {
    "inputs": {
      "seed": 761207467289106,
      "steps": 9,
      "cfg": 2.8000000000000003,
      "sampler_name": "dpmpp_sde_gpu",
      "scheduler": "karras",
      "denoise": 1,
      "tileX": 1,
      "tileY": 0,
      "model": [
        "10",
        0
      ],
      "positive": [
        "6",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "5",
        0
      ]
    },
    "class_type": "xy_Tiling_KSampler",
    "_meta": {
      "title": "Jags-XY_tile sampler"
    }
  },
  "15": {
    "inputs": {
      "samples": [
        "11",
        0
      ],
      "vae": [
        "22",
        0
      ]
    },
    "class_type": "CircularVAEDecode",
    "_meta": {
      "title": "Jags-CircularVAEDecode"
    }
  },
  "22": {
    "inputs": {
      "vae_name": "sdxl.vae.safetensors"
    },
    "class_type": "VAELoader",
    "_meta": {
      "title": "Load VAE"
    }
  }
}

Your ComfyUI workflow as JSON. You must use the API version of your workflow. Get it from ComfyUI using ‘Save (API format)’. Instructions here: https://github.com/fofr/cog-comfyui

Default: "{\n \"4\": {\n \"inputs\": {\n \"ckpt_name\": \"dreamshaperXL_v21TurboDPMSDE.safetensors\"\n },\n \"class_type\": \"CheckpointLoaderSimple\",\n \"_meta\": {\n \"title\": \"Load Checkpoint\"\n }\n },\n \"5\": {\n \"inputs\": {\n \"width\": 2048,\n \"height\": 1024,\n \"batch_size\": 1\n },\n \"class_type\": \"EmptyLatentImage\",\n \"_meta\": {\n \"title\": \"Empty Latent Image\"\n }\n },\n \"6\": {\n \"inputs\": {\n \"text\": \"hidden magical world, equirectangular, 360 panorama\",\n \"clip\": [\n \"10\",\n 1\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Prompt)\"\n }\n },\n \"7\": {\n \"inputs\": {\n \"text\": \"boring, text ,signature, watermark, low quality, bad quality, grainy, blurry, long neck, closed eyes\",\n \"clip\": [\n \"10\",\n 1\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Prompt)\"\n }\n },\n \"9\": {\n \"inputs\": {\n \"filename_prefix\": \"Image\",\n \"images\": [\n \"15\",\n 0\n ]\n },\n \"class_type\": \"SaveImage\",\n \"_meta\": {\n \"title\": \"Save Image\"\n }\n },\n \"10\": {\n \"inputs\": {\n \"lora_name\": \"360RedmondResized.safetensors\",\n \"strength_model\": 0.75,\n \"strength_clip\": 1,\n \"model\": [\n \"4\",\n 0\n ],\n \"clip\": [\n \"4\",\n 1\n ]\n },\n \"class_type\": \"LoraLoader\",\n \"_meta\": {\n \"title\": \"Load LoRA\"\n }\n },\n \"11\": {\n \"inputs\": {\n \"seed\": 761207467289106,\n \"steps\": 9,\n \"cfg\": 2.8000000000000003,\n \"sampler_name\": \"dpmpp_sde_gpu\",\n \"scheduler\": \"karras\",\n \"denoise\": 1,\n \"tileX\": 1,\n \"tileY\": 0,\n \"model\": [\n \"10\",\n 0\n ],\n \"positive\": [\n \"6\",\n 0\n ],\n \"negative\": [\n \"7\",\n 0\n ],\n \"latent_image\": [\n \"5\",\n 0\n ]\n },\n \"class_type\": \"xy_Tiling_KSampler\",\n \"_meta\": {\n \"title\": \"Jags-XY_tile sampler\"\n }\n },\n \"15\": {\n \"inputs\": {\n \"samples\": [\n \"11\",\n 0\n ],\n \"vae\": [\n \"22\",\n 0\n ]\n },\n \"class_type\": \"CircularVAEDecode\",\n \"_meta\": {\n \"title\": \"Jags-CircularVAEDecode\"\n }\n },\n \"22\": {\n \"inputs\": {\n \"vae_name\": \"sdxl.vae.safetensors\"\n },\n \"class_type\": \"VAELoader\",\n \"_meta\": {\n \"title\": \"Load VAE\"\n }\n }\n}"

prompt

string

Shift + Return to add a new line

Describe the image

Default: "Magical mushroom forest"

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

force_reset_cache

boolean

Force reset the ComfyUI cache before running the workflow. Useful for debugging.

Default: false

Run this model in Node.js with one line of code:

npx create-replicate --model=pearsonkyle/360-panorama

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run pearsonkyle/360-panorama using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pearsonkyle/360-panorama:5f638558adec78589e947290cb7083b0730dcfc8e8c9c9db6eebc5261edc09ca",
  {
    input: {
      prompt: "Magical mushroom forest",
      output_format: "webp",
      workflow_json: "{\n  \"4\": {\n    \"inputs\": {\n      \"ckpt_name\": \"dreamshaperXL_v21TurboDPMSDE.safetensors\"\n    },\n    \"class_type\": \"CheckpointLoaderSimple\",\n    \"_meta\": {\n      \"title\": \"Load Checkpoint\"\n    }\n  },\n  \"5\": {\n    \"inputs\": {\n      \"width\": 2048,\n      \"height\": 1024,\n      \"batch_size\": 1\n    },\n    \"class_type\": \"EmptyLatentImage\",\n    \"_meta\": {\n      \"title\": \"Empty Latent Image\"\n    }\n  },\n  \"6\": {\n    \"inputs\": {\n      \"text\": \"hidden magical world, equirectangular, 360 panorama\",\n      \"clip\": [\n        \"10\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"7\": {\n    \"inputs\": {\n      \"text\": \"boring, text ,signature, watermark, low quality, bad quality, grainy, blurry, long neck, closed eyes\",\n      \"clip\": [\n        \"10\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"9\": {\n    \"inputs\": {\n      \"filename_prefix\": \"Image\",\n      \"images\": [\n        \"15\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  },\n  \"10\": {\n    \"inputs\": {\n      \"lora_name\": \"360RedmondResized.safetensors\",\n      \"strength_model\": 0.75,\n      \"strength_clip\": 1,\n      \"model\": [\n        \"4\",\n        0\n      ],\n      \"clip\": [\n        \"4\",\n        1\n      ]\n    },\n    \"class_type\": \"LoraLoader\",\n    \"_meta\": {\n      \"title\": \"Load LoRA\"\n    }\n  },\n  \"11\": {\n    \"inputs\": {\n      \"seed\": 761207467289106,\n      \"steps\": 9,\n      \"cfg\": 2.8000000000000003,\n      \"sampler_name\": \"dpmpp_sde_gpu\",\n      \"scheduler\": \"karras\",\n      \"denoise\": 1,\n      \"tileX\": 1,\n      \"tileY\": 0,\n      \"model\": [\n        \"10\",\n        0\n      ],\n      \"positive\": [\n        \"6\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"5\",\n        0\n      ]\n    },\n    \"class_type\": \"xy_Tiling_KSampler\",\n    \"_meta\": {\n      \"title\": \"Jags-XY_tile sampler\"\n    }\n  },\n  \"15\": {\n    \"inputs\": {\n      \"samples\": [\n        \"11\",\n        0\n      ],\n      \"vae\": [\n        \"22\",\n        0\n      ]\n    },\n    \"class_type\": \"CircularVAEDecode\",\n    \"_meta\": {\n      \"title\": \"Jags-CircularVAEDecode\"\n    }\n  },\n  \"22\": {\n    \"inputs\": {\n      \"vae_name\": \"sdxl.vae.safetensors\"\n    },\n    \"class_type\": \"VAELoader\",\n    \"_meta\": {\n      \"title\": \"Load VAE\"\n    }\n  }\n}",
      output_quality: 80,
      force_reset_cache: false
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run pearsonkyle/360-panorama using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pearsonkyle/360-panorama:5f638558adec78589e947290cb7083b0730dcfc8e8c9c9db6eebc5261edc09ca",
    input={
        "prompt": "Magical mushroom forest",
        "output_format": "webp",
        "workflow_json": "{\n  \"4\": {\n    \"inputs\": {\n      \"ckpt_name\": \"dreamshaperXL_v21TurboDPMSDE.safetensors\"\n    },\n    \"class_type\": \"CheckpointLoaderSimple\",\n    \"_meta\": {\n      \"title\": \"Load Checkpoint\"\n    }\n  },\n  \"5\": {\n    \"inputs\": {\n      \"width\": 2048,\n      \"height\": 1024,\n      \"batch_size\": 1\n    },\n    \"class_type\": \"EmptyLatentImage\",\n    \"_meta\": {\n      \"title\": \"Empty Latent Image\"\n    }\n  },\n  \"6\": {\n    \"inputs\": {\n      \"text\": \"hidden magical world, equirectangular, 360 panorama\",\n      \"clip\": [\n        \"10\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"7\": {\n    \"inputs\": {\n      \"text\": \"boring, text ,signature, watermark, low quality, bad quality, grainy, blurry, long neck, closed eyes\",\n      \"clip\": [\n        \"10\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"9\": {\n    \"inputs\": {\n      \"filename_prefix\": \"Image\",\n      \"images\": [\n        \"15\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  },\n  \"10\": {\n    \"inputs\": {\n      \"lora_name\": \"360RedmondResized.safetensors\",\n      \"strength_model\": 0.75,\n      \"strength_clip\": 1,\n      \"model\": [\n        \"4\",\n        0\n      ],\n      \"clip\": [\n        \"4\",\n        1\n      ]\n    },\n    \"class_type\": \"LoraLoader\",\n    \"_meta\": {\n      \"title\": \"Load LoRA\"\n    }\n  },\n  \"11\": {\n    \"inputs\": {\n      \"seed\": 761207467289106,\n      \"steps\": 9,\n      \"cfg\": 2.8000000000000003,\n      \"sampler_name\": \"dpmpp_sde_gpu\",\n      \"scheduler\": \"karras\",\n      \"denoise\": 1,\n      \"tileX\": 1,\n      \"tileY\": 0,\n      \"model\": [\n        \"10\",\n        0\n      ],\n      \"positive\": [\n        \"6\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"5\",\n        0\n      ]\n    },\n    \"class_type\": \"xy_Tiling_KSampler\",\n    \"_meta\": {\n      \"title\": \"Jags-XY_tile sampler\"\n    }\n  },\n  \"15\": {\n    \"inputs\": {\n      \"samples\": [\n        \"11\",\n        0\n      ],\n      \"vae\": [\n        \"22\",\n        0\n      ]\n    },\n    \"class_type\": \"CircularVAEDecode\",\n    \"_meta\": {\n      \"title\": \"Jags-CircularVAEDecode\"\n    }\n  },\n  \"22\": {\n    \"inputs\": {\n      \"vae_name\": \"sdxl.vae.safetensors\"\n    },\n    \"class_type\": \"VAELoader\",\n    \"_meta\": {\n      \"title\": \"Load VAE\"\n    }\n  }\n}",
        "output_quality": 80,
        "force_reset_cache": False
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run pearsonkyle/360-panorama using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "pearsonkyle/360-panorama:5f638558adec78589e947290cb7083b0730dcfc8e8c9c9db6eebc5261edc09ca",
    "input": {
      "prompt": "Magical mushroom forest",
      "output_format": "webp",
      "workflow_json": "{\\n  \\"4\\": {\\n    \\"inputs\\": {\\n      \\"ckpt_name\\": \\"dreamshaperXL_v21TurboDPMSDE.safetensors\\"\\n    },\\n    \\"class_type\\": \\"CheckpointLoaderSimple\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load Checkpoint\\"\\n    }\\n  },\\n  \\"5\\": {\\n    \\"inputs\\": {\\n      \\"width\\": 2048,\\n      \\"height\\": 1024,\\n      \\"batch_size\\": 1\\n    },\\n    \\"class_type\\": \\"EmptyLatentImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Empty Latent Image\\"\\n    }\\n  },\\n  \\"6\\": {\\n    \\"inputs\\": {\\n      \\"text\\": \\"hidden magical world, equirectangular, 360 panorama\\",\\n      \\"clip\\": [\\n        \\"10\\",\\n        1\\n      ]\\n    },\\n    \\"class_type\\": \\"CLIPTextEncode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"CLIP Text Encode (Prompt)\\"\\n    }\\n  },\\n  \\"7\\": {\\n    \\"inputs\\": {\\n      \\"text\\": \\"boring, text ,signature, watermark, low quality, bad quality, grainy, blurry, long neck, closed eyes\\",\\n      \\"clip\\": [\\n        \\"10\\",\\n        1\\n      ]\\n    },\\n    \\"class_type\\": \\"CLIPTextEncode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"CLIP Text Encode (Prompt)\\"\\n    }\\n  },\\n  \\"9\\": {\\n    \\"inputs\\": {\\n      \\"filename_prefix\\": \\"Image\\",\\n      \\"images\\": [\\n        \\"15\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"SaveImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Save Image\\"\\n    }\\n  },\\n  \\"10\\": {\\n    \\"inputs\\": {\\n      \\"lora_name\\": \\"360RedmondResized.safetensors\\",\\n      \\"strength_model\\": 0.75,\\n      \\"strength_clip\\": 1,\\n      \\"model\\": [\\n        \\"4\\",\\n        0\\n      ],\\n      \\"clip\\": [\\n        \\"4\\",\\n        1\\n      ]\\n    },\\n    \\"class_type\\": \\"LoraLoader\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load LoRA\\"\\n    }\\n  },\\n  \\"11\\": {\\n    \\"inputs\\": {\\n      \\"seed\\": 761207467289106,\\n      \\"steps\\": 9,\\n      \\"cfg\\": 2.8000000000000003,\\n      \\"sampler_name\\": \\"dpmpp_sde_gpu\\",\\n      \\"scheduler\\": \\"karras\\",\\n      \\"denoise\\": 1,\\n      \\"tileX\\": 1,\\n      \\"tileY\\": 0,\\n      \\"model\\": [\\n        \\"10\\",\\n        0\\n      ],\\n      \\"positive\\": [\\n        \\"6\\",\\n        0\\n      ],\\n      \\"negative\\": [\\n        \\"7\\",\\n        0\\n      ],\\n      \\"latent_image\\": [\\n        \\"5\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"xy_Tiling_KSampler\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Jags-XY_tile sampler\\"\\n    }\\n  },\\n  \\"15\\": {\\n    \\"inputs\\": {\\n      \\"samples\\": [\\n        \\"11\\",\\n        0\\n      ],\\n      \\"vae\\": [\\n        \\"22\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"CircularVAEDecode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Jags-CircularVAEDecode\\"\\n    }\\n  },\\n  \\"22\\": {\\n    \\"inputs\\": {\\n      \\"vae_name\\": \\"sdxl.vae.safetensors\\"\\n    },\\n    \\"class_type\\": \\"VAELoader\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load VAE\\"\\n    }\\n  }\\n}",
      "output_quality": 80,
      "force_reset_cache": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.