Prediction

Model

pearsonkyle/360-panorama:bfd2e403

p8afcwrcc1rgj0cgqtv9crgdjg

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14m

Created

over 1 year ago

Webhook

–

Input

prompt: Magical pizza kingdom
output_format: webp

{
  "output_format": "webp",
  "prompt": "Magical pizza kingdom"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_1oI**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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:bfd2e4035cea655e508dd0c4a07addd1976e3223771d1a318a8dc698ccc2f3a0",
  {
    input: {
      output_format: "webp",
      prompt: "Magical pizza kingdom"
    }
  }
);

// 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=r8_1oI**********************************

This is your API token. Keep it to yourself.

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:bfd2e4035cea655e508dd0c4a07addd1976e3223771d1a318a8dc698ccc2f3a0",
    input={
        "output_format": "webp",
        "prompt": "Magical pizza kingdom"
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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=r8_1oI**********************************

This is your API token. Keep it to yourself.

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:bfd2e4035cea655e508dd0c4a07addd1976e3223771d1a318a8dc698ccc2f3a0",
    "input": {
      "output_format": "webp",
      "prompt": "Magical pizza kingdom"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "p8afcwrcc1rgj0cgqtv9crgdjg",
  "model": "pearsonkyle/360-panorama",
  "version": "bfd2e4035cea655e508dd0c4a07addd1976e3223771d1a318a8dc698ccc2f3a0",
  "input": {
    "output_format": "webp",
    "prompt": "Magical pizza kingdom"
  },
  "logs": "Checking inputs\n====================================\nChecking weights\n✅ 360RedmondResized.safetensors exists in ComfyUI/models/loras\n✅ sdxl_vae.safetensors exists in ComfyUI/models/vae\n✅ dreamshaperXL_v21TurboDPMSDE.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRandomising seed to 1141233642\nRunning workflow\ngot prompt\nExecuting node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple\nmodel_type EPS\nUsing pytorch attention in VAE\nUsing pytorch attention in VAE\nloaded straight to GPU\nRequested to load SDXL\nLoading 1 new model\nExecuting node 10, title: Load LoRA, class type: LoraLoader\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nRequested to load SDXLClipModel\nLoading 1 new model\nExecuting node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 5, title: Empty Latent Image, class type: EmptyLatentImage\nExecuting node 11, title: Jags-XY_tile sampler, class type: xy_Tiling_KSampler\nRequested to load SDXL\nLoading 1 new model\n  0%|          | 0/9 [00:00<?, ?it/s]\n 11%|█         | 1/9 [00:01<00:08,  1.01s/it]\n 22%|██▏       | 2/9 [00:01<00:06,  1.11it/s]\n 33%|███▎      | 3/9 [00:02<00:05,  1.15it/s]\n 44%|████▍     | 4/9 [00:03<00:05,  1.03s/it]\n 56%|█████▌    | 5/9 [00:04<00:03,  1.05it/s]\n 67%|██████▋   | 6/9 [00:05<00:02,  1.10it/s]\n 78%|███████▊  | 7/9 [00:06<00:01,  1.13it/s]\n 89%|████████▉ | 8/9 [00:07<00:00,  1.16it/s]\n100%|██████████| 9/9 [00:07<00:00,  1.39it/s]\n100%|██████████| 9/9 [00:07<00:00,  1.18it/s]\nExecuting node 22, title: Load VAE, class type: VAELoader\nUsing pytorch attention in VAE\nUsing pytorch attention in VAE\nRequested to load AutoencoderKL\nLoading 1 new model\nExecuting node 15, title: Jags-CircularVAEDecode, class type: CircularVAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 13.15 seconds\noutputs:  {'9': {'images': [{'filename': 'Image_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nImage_00001_.png",
  "output": [
    "https://replicate.delivery/pbxt/e1ZroQ11yq2DbStr510hatE5UULkbleU4A7Enl6npf6DxdSmA/Image_00001_.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-07-17T03:22:00.16Z",
  "started_at": "2024-07-17T03:35:47.339862Z",
  "completed_at": "2024-07-17T03:36:02.699879Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/p8afcwrcc1rgj0cgqtv9crgdjg/cancel",
    "get": "https://api.replicate.com/v1/predictions/p8afcwrcc1rgj0cgqtv9crgdjg",
    "web": "https://replicate.com/p/p8afcwrcc1rgj0cgqtv9crgdjg"
  },
  "metrics": {
    "predict_time": 15.360016253,
    "total_time": 842.539879
  }
}

Generated in

15.4 seconds

Tweak it Report

Checking inputs ==================================== Checking weights ✅ 360RedmondResized.safetensors exists in ComfyUI/models/loras ✅ sdxl_vae.safetensors exists in ComfyUI/models/vae ✅ dreamshaperXL_v21TurboDPMSDE.safetensors exists in ComfyUI/models/checkpoints ==================================== Randomising seed to 1141233642 Running workflow got prompt Executing node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple model_type EPS Using pytorch attention in VAE Using pytorch attention in VAE loaded straight to GPU Requested to load SDXL Loading 1 new model Executing node 10, title: Load LoRA, class type: LoraLoader Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Requested to load SDXLClipModel Loading 1 new model Executing node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage Executing node 11, title: Jags-XY_tile sampler, class type: xy_Tiling_KSampler Requested to load SDXL Loading 1 new model 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:01<00:08, 1.01s/it] 22%|██▏ | 2/9 [00:01<00:06, 1.11it/s] 33%|███▎ | 3/9 [00:02<00:05, 1.15it/s] 44%|████▍ | 4/9 [00:03<00:05, 1.03s/it] 56%|█████▌ | 5/9 [00:04<00:03, 1.05it/s] 67%|██████▋ | 6/9 [00:05<00:02, 1.10it/s] 78%|███████▊ | 7/9 [00:06<00:01, 1.13it/s] 89%|████████▉ | 8/9 [00:07<00:00, 1.16it/s] 100%|██████████| 9/9 [00:07<00:00, 1.39it/s] 100%|██████████| 9/9 [00:07<00:00, 1.18it/s] Executing node 22, title: Load VAE, class type: VAELoader Using pytorch attention in VAE Using pytorch attention in VAE Requested to load AutoencoderKL Loading 1 new model Executing node 15, title: Jags-CircularVAEDecode, class type: CircularVAEDecode Executing node 9, title: Save Image, class type: SaveImage Prompt executed in 13.15 seconds outputs: {'9': {'images': [{'filename': 'Image_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== Image_00001_.png