Prediction

Model

cudanexus/stickergp:6ffeac34

rz3bx3zbvokmbcihijp3hvp6ei

Status

Succeeded

Source

Web

Hardware

Total duration

27.8s

Created

almost 2 years ago

Webhook

–

Input

prompt: a cute dog
negative_prompt: Empty string
width: 1024
height: 1024
steps: 20
upscale: false
upscale_steps: 10

{
  "height": 1024,
  "negative_prompt": "",
  "prompt": "a cute dog ",
  "steps": 20,
  "upscale": false,
  "upscale_steps": 10,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_GiB**********************************

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 cudanexus/stickergp using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cudanexus/stickergp:6ffeac3440d7f79fe412021e0a2d28b03a43062c090cc0c625d3a73f0aa1f827",
  {
    input: {
      height: 1024,
      negative_prompt: "",
      prompt: "a cute dog ",
      steps: 20,
      upscale: false,
      upscale_steps: 10,
      width: 1024
    }
  }
);

// 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_GiB**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run cudanexus/stickergp using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cudanexus/stickergp:6ffeac3440d7f79fe412021e0a2d28b03a43062c090cc0c625d3a73f0aa1f827",
    input={
        "height": 1024,
        "negative_prompt": "",
        "prompt": "a cute dog ",
        "steps": 20,
        "upscale": False,
        "upscale_steps": 10,
        "width": 1024
    }
)

# 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_GiB**********************************

This is your API token. Keep it to yourself.

Run cudanexus/stickergp 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": "cudanexus/stickergp:6ffeac3440d7f79fe412021e0a2d28b03a43062c090cc0c625d3a73f0aa1f827",
    "input": {
      "height": 1024,
      "negative_prompt": "",
      "prompt": "a cute dog ",
      "steps": 20,
      "upscale": false,
      "upscale_steps": 10,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "rz3bx3zbvokmbcihijp3hvp6ei",
  "model": "cudanexus/stickergp",
  "version": "6ffeac3440d7f79fe412021e0a2d28b03a43062c090cc0c625d3a73f0aa1f827",
  "input": {
    "height": 1024,
    "negative_prompt": "",
    "prompt": "a cute dog ",
    "steps": 20,
    "upscale": false,
    "upscale_steps": 10,
    "width": 1024
  },
  "logs": "Random seed set to: 3470438042\nChecking inputs\n====================================\nChecking weights\n✅ dreamshaper_8.safetensors\n✅ artificialguybr/StickersRedmond.safetensors\n✅ albedobaseXL_v13.safetensors\n✅ RMBG-1.4/model.pth\n✅ 4x-AnimeSharp.pth\n====================================\nRunning workflow\ngot prompt\nExecuting node 2, title: Efficient Loader, class type: Efficient Loader\nRequested to load SDXLClipModel\nLoading 1 new model\n----------------------------------------\n\u001b[36mEfficient Loader Models Cache:\u001b[0m\nCkpt:\n[1] albedobaseXL_v13\nLora:\n[1] base_ckpt: albedobaseXL_v13\nlora(mod,clip): StickersRedmond(1,1)\nExecuting node 4, title: KSampler (Efficient), class type: KSampler (Efficient)\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:16,  1.13it/s]\n 10%|█         | 2/20 [00:01<00:16,  1.12it/s]\n 15%|█▌        | 3/20 [00:02<00:15,  1.11it/s]\n 20%|██        | 4/20 [00:03<00:14,  1.10it/s]\n 25%|██▌       | 5/20 [00:04<00:13,  1.11it/s]\n 30%|███       | 6/20 [00:05<00:12,  1.10it/s]\n 35%|███▌      | 7/20 [00:06<00:11,  1.10it/s]\n 40%|████      | 8/20 [00:07<00:10,  1.10it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.09it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.09it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.09it/s]\n 60%|██████    | 12/20 [00:10<00:07,  1.09it/s]\n 65%|██████▌   | 13/20 [00:11<00:06,  1.08it/s]\n 70%|███████   | 14/20 [00:12<00:05,  1.07it/s]\n 75%|███████▌  | 15/20 [00:13<00:04,  1.07it/s]\n 80%|████████  | 16/20 [00:14<00:03,  1.07it/s]\n 85%|████████▌ | 17/20 [00:15<00:02,  1.07it/s]\n 90%|█████████ | 18/20 [00:16<00:01,  1.07it/s]\n 95%|█████████▌| 19/20 [00:17<00:00,  1.07it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.08it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.09it/s]\nExecuting node 5, title: Save Image, class type: SaveImage\nExecuting node 9, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho\nExecuting node 10, title: Save Image, class type: SaveImage\nPrompt executed in 26.98 seconds\noutputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_tzosl_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '5': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '10': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00002_.png\nComfyUI_00001_.png",
  "output": [
    "https://replicate.delivery/pbxt/WT0S1FTNDd58FRCoH7Gvt8Nje8V7uvqpz7qqUZ65x1xze8gSA/ComfyUI_00002_.png",
    "https://replicate.delivery/pbxt/meCHP58LH0XzSSsZeeqCIMcDqc1RzqVyAenEDS59C8zfsnHUC/ComfyUI_00001_.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-03-16T22:29:32.214331Z",
  "started_at": "2024-03-16T22:29:32.230087Z",
  "completed_at": "2024-03-16T22:30:00.039291Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/rz3bx3zbvokmbcihijp3hvp6ei/cancel",
    "get": "https://api.replicate.com/v1/predictions/rz3bx3zbvokmbcihijp3hvp6ei"
  },
  "metrics": {
    "predict_time": 27.809204,
    "total_time": 27.82496
  }
}

Generated in

27.8 seconds

Tweak it Report

Random seed set to: 3470438042 Checking inputs ==================================== Checking weights ✅ dreamshaper_8.safetensors ✅ artificialguybr/StickersRedmond.safetensors ✅ albedobaseXL_v13.safetensors ✅ RMBG-1.4/model.pth ✅ 4x-AnimeSharp.pth ==================================== Running workflow got prompt Executing node 2, title: Efficient Loader, class type: Efficient Loader Requested to load SDXLClipModel Loading 1 new model ---------------------------------------- [36mEfficient Loader Models Cache:[0m Ckpt: [1] albedobaseXL_v13 Lora: [1] base_ckpt: albedobaseXL_v13 lora(mod,clip): StickersRedmond(1,1) Executing node 4, title: KSampler (Efficient), class type: KSampler (Efficient) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:16, 1.13it/s] 10%|█ | 2/20 [00:01<00:16, 1.12it/s] 15%|█▌ | 3/20 [00:02<00:15, 1.11it/s] 20%|██ | 4/20 [00:03<00:14, 1.10it/s] 25%|██▌ | 5/20 [00:04<00:13, 1.11it/s] 30%|███ | 6/20 [00:05<00:12, 1.10it/s] 35%|███▌ | 7/20 [00:06<00:11, 1.10it/s] 40%|████ | 8/20 [00:07<00:10, 1.10it/s] 45%|████▌ | 9/20 [00:08<00:10, 1.09it/s] 50%|█████ | 10/20 [00:09<00:09, 1.09it/s] 55%|█████▌ | 11/20 [00:10<00:08, 1.09it/s] 60%|██████ | 12/20 [00:10<00:07, 1.09it/s] 65%|██████▌ | 13/20 [00:11<00:06, 1.08it/s] 70%|███████ | 14/20 [00:12<00:05, 1.07it/s] 75%|███████▌ | 15/20 [00:13<00:04, 1.07it/s] 80%|████████ | 16/20 [00:14<00:03, 1.07it/s] 85%|████████▌ | 17/20 [00:15<00:02, 1.07it/s] 90%|█████████ | 18/20 [00:16<00:01, 1.07it/s] 95%|█████████▌| 19/20 [00:17<00:00, 1.07it/s] 100%|██████████| 20/20 [00:18<00:00, 1.08it/s] 100%|██████████| 20/20 [00:18<00:00, 1.09it/s] Executing node 5, title: Save Image, class type: SaveImage Executing node 9, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho Executing node 10, title: Save Image, class type: SaveImage Prompt executed in 26.98 seconds outputs: {'4': {'images': [{'filename': 'ComfyUI_temp_tzosl_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '5': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '10': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== Contents of /tmp/outputs: ComfyUI_00002_.png ComfyUI_00001_.png