fofr / sticker-maker

Make stickers with AI. Generates graphics with transparent backgrounds.

Warm

Public
909.5K runs
L40S
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

fofr/sticker-maker:4acb778e

Model

fofr/sticker-maker:fbfe71bb

7dplyjdbhpgqdoxf2owwpv5gom

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

59.9s

Created

about 1 year ago

Input

steps: 20
width: 1024
height: 1024
prompt: a cute cat
upscale: true
upscale_steps: 10
negative_prompt

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

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
  {
    input: {
      steps: 20,
      width: 1024,
      height: 1024,
      prompt: "a cute cat",
      negative_prompt: ""
    }
  }
);
console.log(output);

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    input={
        "steps": 20,
        "width": 1024,
        "height": 1024,
        "prompt": "a cute cat",
        "negative_prompt": ""
    }
)
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 fofr/sticker-maker 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": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    "input": {
      "steps": 20,
      "width": 1024,
      "height": 1024,
      "prompt": "a cute cat",
      "negative_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-23T12:45:45.318436Z",
  "created_at": "2024-02-23T12:44:45.420757Z",
  "data_removed": false,
  "error": null,
  "id": "7dplyjdbhpgqdoxf2owwpv5gom",
  "input": {
    "steps": 20,
    "width": 1024,
    "height": 1024,
    "prompt": "a cute cat",
    "upscale": true,
    "upscale_steps": 10,
    "negative_prompt": ""
  },
  "logs": "Random seed set to: 2459425481\nChecking inputs\n====================================\nChecking weights\n✅ RMBG-1.4/model.pth\n✅ albedobaseXL_v13.safetensors\n✅ dreamshaper_8.safetensors\n✅ 4x-AnimeSharp.pth\n✅ artificialguybr/StickersRedmond.safetensors\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<00:03,  4.84it/s]\n 10%|█         | 2/20 [00:00<00:03,  4.65it/s]\n 15%|█▌        | 3/20 [00:00<00:03,  4.59it/s]\n 20%|██        | 4/20 [00:00<00:03,  4.57it/s]\n 25%|██▌       | 5/20 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512x512\nTiles amount: 16\nGrid: 4x4\nRedraw enabled: True\nSeams fix mode: NONE\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.45it/s]\n 60%|██████    | 6/10 [00:00<00:00, 22.86it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.35it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.61it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.46it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.05it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.42it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.70it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.39it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.12it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.47it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.70it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 24.87it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.47it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.74it/s]\n100%|██████████| 10/10 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[00:00<00:00, 23.27it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.61it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.85it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.29it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.14it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.54it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.79it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.48it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.11it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.62it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.82it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.50it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.26it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.61it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.88it/s]\nExecuting node 16, title: Save Image, class type: SaveImage\nExecuting node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho\nExecuting node 18, title: Save Image, class type: SaveImage\nPrompt executed in 22.11 seconds\noutputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_qdrly_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00001_.png\nComfyUI_00002_.png",
  "metrics": {
    "predict_time": 24.456625,
    "total_time": 59.897679
  },
  "output": [
    "https://replicate.delivery/pbxt/WZU3KPmCsg4QFFmzdgCefhyirgoyzbzXBA0ADbediYtvrIzkA/ComfyUI_00001_.png",
    "https://replicate.delivery/pbxt/uMEMjvQNPewQdSebtYhizgWOS3Qdj9o4Fs92g5QZiYt4VkZSA/ComfyUI_00002_.png"
  ],
  "started_at": "2024-02-23T12:45:20.861811Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/7dplyjdbhpgqdoxf2owwpv5gom",
    "cancel": "https://api.replicate.com/v1/predictions/7dplyjdbhpgqdoxf2owwpv5gom/cancel"
  },
  "version": "fbfe71bb555526d022edb3e87b5375ee4bd7500ac0467d0bca1942813f8d5b78"
}

Generated in

24.5 seconds

Tweak it ShareReport

Random seed set to: 2459425481
Checking inputs
====================================
Checking weights
✅ RMBG-1.4/model.pth
✅ albedobaseXL_v13.safetensors
✅ dreamshaper_8.safetensors
✅ 4x-AnimeSharp.pth
✅ artificialguybr/StickersRedmond.safetensors
====================================
Running workflow
got prompt
Executing node 2, title: Efficient Loader, class type: Efficient Loader
Requested to load SDXLClipModel
Loading 1 new model
----------------------------------------
Efficient Loader Models Cache:
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)
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Executing node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale
Canva size: 2048x2048
Image size: 1024x1024
Scale factor: 2
Upscaling iteration 1 with scale factor 2
Tile size: 512x512
Tiles amount: 16
Grid: 4x4
Redraw enabled: True
Seams fix mode: NONE
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Executing node 16, title: Save Image, class type: SaveImage
Executing node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho
Executing node 18, title: Save Image, class type: SaveImage
Prompt executed in 22.11 seconds
outputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_qdrly_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png
ComfyUI_00002_.png

Prediction

fofr/sticker-maker:4acb778e

Model

fofr/sticker-maker:3b2fc090

ctsbjd3bvhc5bk4l4uu6vhw43e

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

25.1s

Created

about 1 year ago

Input

steps: 20
width: 1024
height: 1024
prompt: an angry penguin
upscale: true
upscale_steps: 10
negative_prompt

{
  "steps": 20,
  "width": 1024,
  "height": 1024,
  "prompt": "an angry penguin",
  "upscale": true,
  "upscale_steps": 10,
  "negative_prompt": ""
}

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
  {
    input: {
      steps: 20,
      width: 1024,
      height: 1024,
      prompt: "an angry penguin",
      negative_prompt: ""
    }
  }
);
console.log(output);

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    input={
        "steps": 20,
        "width": 1024,
        "height": 1024,
        "prompt": "an angry penguin",
        "negative_prompt": ""
    }
)
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 fofr/sticker-maker 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": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    "input": {
      "steps": 20,
      "width": 1024,
      "height": 1024,
      "prompt": "an angry penguin",
      "negative_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-23T12:48:44.223144Z",
  "created_at": "2024-02-23T12:48:19.093562Z",
  "data_removed": false,
  "error": null,
  "id": "ctsbjd3bvhc5bk4l4uu6vhw43e",
  "input": {
    "steps": 20,
    "width": 1024,
    "height": 1024,
    "prompt": "an angry penguin",
    "upscale": true,
    "upscale_steps": 10,
    "negative_prompt": ""
  },
  "logs": "Random seed set to: 3216572800\nChecking inputs\n====================================\nChecking weights\n✅ artificialguybr/StickersRedmond.safetensors\n✅ albedobaseXL_v13.safetensors\n✅ 4x-AnimeSharp.pth\n✅ RMBG-1.4/model.pth\n✅ dreamshaper_8.safetensors\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<00:03,  4.93it/s]\n 10%|█         | 2/20 [00:00<00:03,  4.71it/s]\n 15%|█▌        | 3/20 [00:00<00:03,  4.64it/s]\n 20%|██        | 4/20 [00:00<00:03,  4.03it/s]\n 25%|██▌       | 5/20 [00:01<00:03,  4.17it/s]\n 30%|███       | 6/20 [00:01<00:03,  4.09it/s]\n 35%|███▌      | 7/20 [00:01<00:03,  4.25it/s]\n 40%|████      | 8/20 [00:01<00:02,  4.32it/s]\n 45%|████▌     | 9/20 [00:02<00:02,  4.35it/s]\n 50%|█████     | 10/20 [00:02<00:02,  4.40it/s]\n 55%|█████▌    | 11/20 [00:02<00:02,  4.36it/s]\n 60%|██████    | 12/20 [00:02<00:01,  4.43it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  4.47it/s]\n 70%|███████   | 14/20 [00:03<00:01,  4.51it/s]\n 75%|███████▌  | 15/20 [00:03<00:01,  4.50it/s]\n 80%|████████  | 16/20 [00:03<00:00,  4.54it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  4.57it/s]\n 90%|█████████ | 18/20 [00:04<00:00,  4.58it/s]\n 95%|█████████▌| 19/20 [00:04<00:00,  4.75it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.93it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.50it/s]\nExecuting node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale\nCanva size: 2048x2048\nImage size: 1024x1024\nScale factor: 2\nUpscaling iteration 1 with scale factor 2\nTile size: 512x512\nTiles amount: 16\nGrid: 4x4\nRedraw enabled: True\nSeams fix mode: NONE\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.10it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.34it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.62it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.81it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.40it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.26it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.64it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.90it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.44it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.29it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.70it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.94it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.51it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.36it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.68it/s]\n100%|██████████| 10/10 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30%|███       | 3/10 [00:00<00:00, 25.33it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.24it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.63it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.86it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.42it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.30it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.63it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.85it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.45it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.28it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.65it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.91it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.54it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.21it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.51it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.81it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.55it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.19it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.62it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.88it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.35it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.26it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.65it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.87it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.50it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.30it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.72it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.97it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.68it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.40it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.77it/s]\n100%|██████████| 10/10 [00:00<00:00, 23.01it/s]\nExecuting node 16, title: Save Image, class type: SaveImage\nExecuting node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho\nExecuting node 18, title: Save Image, class type: SaveImage\nPrompt executed in 22.51 seconds\noutputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_lsamm_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00001_.png\nComfyUI_00002_.png",
  "metrics": {
    "predict_time": 25.087023,
    "total_time": 25.129582
  },
  "output": [
    "https://replicate.delivery/pbxt/kiEPt46ZkdISIpPApxKP2JV34VME8peM5yAU2E0YM2JVMyMJA/ComfyUI_00001_.png",
    "https://replicate.delivery/pbxt/uzunUrfAUlzLUSHSBqEROF3zZyp8R61enPRZk8MnzMPrYkZSA/ComfyUI_00002_.png"
  ],
  "started_at": "2024-02-23T12:48:19.136121Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ctsbjd3bvhc5bk4l4uu6vhw43e",
    "cancel": "https://api.replicate.com/v1/predictions/ctsbjd3bvhc5bk4l4uu6vhw43e/cancel"
  },
  "version": "3b2fc090362c3c344456a32b62e4277e4c03e82f0e24c549fa8d01042218f87c"
}

Generated in

25.1 seconds

Tweak it ShareReport

Random seed set to: 3216572800
Checking inputs
====================================
Checking weights
✅ artificialguybr/StickersRedmond.safetensors
✅ albedobaseXL_v13.safetensors
✅ 4x-AnimeSharp.pth
✅ RMBG-1.4/model.pth
✅ dreamshaper_8.safetensors
====================================
Running workflow
got prompt
Executing node 2, title: Efficient Loader, class type: Efficient Loader
Requested to load SDXLClipModel
Loading 1 new model
----------------------------------------
Efficient Loader Models Cache:
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)
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Executing node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale
Canva size: 2048x2048
Image size: 1024x1024
Scale factor: 2
Upscaling iteration 1 with scale factor 2
Tile size: 512x512
Tiles amount: 16
Grid: 4x4
Redraw enabled: True
Seams fix mode: NONE
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Executing node 16, title: Save Image, class type: SaveImage
Executing node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho
Executing node 18, title: Save Image, class type: SaveImage
Prompt executed in 22.51 seconds
outputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_lsamm_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png
ComfyUI_00002_.png

Prediction

fofr/sticker-maker:4acb778e

Model

fofr/sticker-maker:3b2fc090

cmghfm3bsu3hw6op7enka26cie

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

23.6s

Created

about 1 year ago

Input

steps: 20
width: 1024
height: 1024
prompt: pikachu, simple, clean
upscale: true
upscale_steps: 10

{
  "steps": 20,
  "width": 1024,
  "height": 1024,
  "prompt": "pikachu, simple, clean",
  "upscale": true,
  "upscale_steps": 10
}

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
  {
    input: {
      steps: 20,
      width: 1024,
      height: 1024,
      prompt: "pikachu, simple, clean"
    }
  }
);
console.log(output);

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    input={
        "steps": 20,
        "width": 1024,
        "height": 1024,
        "prompt": "pikachu, simple, clean"
    }
)
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 fofr/sticker-maker 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": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    "input": {
      "steps": 20,
      "width": 1024,
      "height": 1024,
      "prompt": "pikachu, simple, clean"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-23T12:53:11.618948Z",
  "created_at": "2024-02-23T12:52:48.049803Z",
  "data_removed": false,
  "error": null,
  "id": "cmghfm3bsu3hw6op7enka26cie",
  "input": {
    "steps": 20,
    "width": 1024,
    "height": 1024,
    "prompt": "pikachu, simple, clean",
    "upscale": true,
    "upscale_steps": 10
  },
  "logs": "Random seed set to: 3457628994\nChecking inputs\n====================================\nChecking weights\n✅ artificialguybr/StickersRedmond.safetensors\n✅ albedobaseXL_v13.safetensors\n✅ 4x-AnimeSharp.pth\n✅ RMBG-1.4/model.pth\n✅ dreamshaper_8.safetensors\n====================================\nRunning workflow\ngot prompt\nExecuting node 4, title: KSampler (Efficient), class type: KSampler (Efficient)\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:03,  4.92it/s]\n 10%|█         | 2/20 [00:00<00:03,  4.80it/s]\n 15%|█▌        | 3/20 [00:00<00:03,  4.75it/s]\n 20%|██        | 4/20 [00:00<00:03,  4.75it/s]\n 25%|██▌       | 5/20 [00:01<00:03,  4.77it/s]\n 30%|███       | 6/20 [00:01<00:02,  4.74it/s]\n 35%|███▌      | 7/20 [00:01<00:02,  4.72it/s]\n 40%|████      | 8/20 [00:01<00:02,  4.67it/s]\n 45%|████▌     | 9/20 [00:01<00:02,  4.63it/s]\n 50%|█████     | 10/20 [00:02<00:02,  4.61it/s]\n 55%|█████▌    | 11/20 [00:02<00:02,  4.49it/s]\n 60%|██████    | 12/20 [00:02<00:01,  4.54it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  4.56it/s]\n 70%|███████   | 14/20 [00:03<00:01,  4.59it/s]\n 75%|███████▌  | 15/20 [00:03<00:01,  4.58it/s]\n 80%|████████  | 16/20 [00:03<00:00,  4.60it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  4.61it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  4.64it/s]\n 95%|█████████▌| 19/20 [00:04<00:00,  4.75it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.92it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.69it/s]\nExecuting node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale\nCanva size: 2048x2048\nImage size: 1024x1024\nScale factor: 2\nUpscaling iteration 1 with scale factor 2\nTile size: 512x512\nTiles amount: 16\nGrid: 4x4\nRedraw enabled: True\nSeams fix mode: NONE\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.13it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.14it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.58it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.78it/s]\n  0%|          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10/10 [00:00<00:00, 22.86it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.13it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.21it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.63it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.85it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.27it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.07it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.63it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.82it/s]\nExecuting node 16, title: Save Image, class type: SaveImage\nExecuting node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho\nExecuting node 18, title: Save Image, class type: SaveImage\nPrompt executed in 21.24 seconds\noutputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_duimf_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00001_.png\nComfyUI_00002_.png",
  "metrics": {
    "predict_time": 23.504271,
    "total_time": 23.569145
  },
  "output": [
    "https://replicate.delivery/pbxt/o6Y0CfYIud3uXKVXm41rTK4jV87Hpe5UFX3wHN5yppC1ckZSA/ComfyUI_00001_.png",
    "https://replicate.delivery/pbxt/IwuKQonhCnYkLx6t4tLvezFFLTfQG54ADBYpyVcWUll3ckZSA/ComfyUI_00002_.png"
  ],
  "started_at": "2024-02-23T12:52:48.114677Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/cmghfm3bsu3hw6op7enka26cie",
    "cancel": "https://api.replicate.com/v1/predictions/cmghfm3bsu3hw6op7enka26cie/cancel"
  },
  "version": "3b2fc090362c3c344456a32b62e4277e4c03e82f0e24c549fa8d01042218f87c"
}

Generated in

23.5 seconds

Tweak it ShareReport

Random seed set to: 3457628994
Checking inputs
====================================
Checking weights
✅ artificialguybr/StickersRedmond.safetensors
✅ albedobaseXL_v13.safetensors
✅ 4x-AnimeSharp.pth
✅ RMBG-1.4/model.pth
✅ dreamshaper_8.safetensors
====================================
Running workflow
got prompt
Executing node 4, title: KSampler (Efficient), class type: KSampler (Efficient)
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Executing node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale
Canva size: 2048x2048
Image size: 1024x1024
Scale factor: 2
Upscaling iteration 1 with scale factor 2
Tile size: 512x512
Tiles amount: 16
Grid: 4x4
Redraw enabled: True
Seams fix mode: NONE
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Executing node 16, title: Save Image, class type: SaveImage
Executing node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho
Executing node 18, title: Save Image, class type: SaveImage
Prompt executed in 21.24 seconds
outputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_duimf_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png
ComfyUI_00002_.png

Prediction

fofr/sticker-maker:4acb778e

Model

fofr/sticker-maker:3b2fc090

fcg7lrtbpygvie5ypd4ikamowi

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

24.9s

Created

about 1 year ago

Input

steps: 20
width: 1024
height: 1024
prompt: cute dragon
upscale: true
upscale_steps: 10
negative_prompt: bubbles

{
  "steps": 20,
  "width": 1024,
  "height": 1024,
  "prompt": "cute dragon",
  "upscale": true,
  "upscale_steps": 10,
  "negative_prompt": "bubbles"
}

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
  {
    input: {
      steps: 20,
      width: 1024,
      height: 1024,
      prompt: "cute dragon",
      negative_prompt: "bubbles"
    }
  }
);
console.log(output);

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    input={
        "steps": 20,
        "width": 1024,
        "height": 1024,
        "prompt": "cute dragon",
        "negative_prompt": "bubbles"
    }
)
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 fofr/sticker-maker 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": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    "input": {
      "steps": 20,
      "width": 1024,
      "height": 1024,
      "prompt": "cute dragon",
      "negative_prompt": "bubbles"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-23T12:56:09.682235Z",
  "created_at": "2024-02-23T12:55:44.773131Z",
  "data_removed": false,
  "error": null,
  "id": "fcg7lrtbpygvie5ypd4ikamowi",
  "input": {
    "steps": 20,
    "width": 1024,
    "height": 1024,
    "prompt": "cute dragon",
    "upscale": true,
    "upscale_steps": 10,
    "negative_prompt": "bubbles"
  },
  "logs": "Random seed set to: 964472788\nChecking inputs\n====================================\nChecking weights\n✅ artificialguybr/StickersRedmond.safetensors\n✅ albedobaseXL_v13.safetensors\n✅ 4x-AnimeSharp.pth\n✅ RMBG-1.4/model.pth\n✅ dreamshaper_8.safetensors\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<00:04,  4.71it/s]\n 10%|█         | 2/20 [00:00<00:03,  4.61it/s]\n 15%|█▌        | 3/20 [00:00<00:03,  4.60it/s]\n 20%|██        | 4/20 [00:00<00:03,  4.59it/s]\n 25%|██▌       | 5/20 [00:01<00:03,  4.61it/s]\n 30%|███       | 6/20 [00:01<00:03,  4.59it/s]\n 35%|███▌      | 7/20 [00:01<00:02,  4.61it/s]\n 40%|████      | 8/20 [00:01<00:02,  4.59it/s]\n 45%|████▌     | 9/20 [00:01<00:02,  4.59it/s]\n 50%|█████     | 10/20 [00:02<00:02,  4.57it/s]\n 55%|█████▌    | 11/20 [00:02<00:01,  4.59it/s]\n 60%|██████    | 12/20 [00:02<00:01,  4.62it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  4.64it/s]\n 70%|███████   | 14/20 [00:03<00:01,  4.66it/s]\n 75%|███████▌  | 15/20 [00:03<00:01,  4.65it/s]\n 80%|████████  | 16/20 [00:03<00:00,  4.65it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  4.65it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  4.67it/s]\n 95%|█████████▌| 19/20 [00:04<00:00,  4.73it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.90it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.67it/s]\nExecuting node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale\nCanva size: 2048x2048\nImage size: 1024x1024\nScale factor: 2\nUpscaling iteration 1 with scale factor 2\nTile size: 512x512\nTiles amount: 16\nGrid: 4x4\nRedraw enabled: True\nSeams fix mode: NONE\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.38it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.33it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.67it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.91it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.45it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.31it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.56it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.85it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 24.92it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.37it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.55it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.89it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.45it/s]\n 60%|██████    | 6/10 [00:00<00:00, 22.97it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.79it/s]\n100%|██████████| 10/10 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[00:00<00:00, 23.07it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.63it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.82it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 24.77it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.14it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.58it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.79it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 24.99it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.13it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.57it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.68it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 24.70it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.39it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.64it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.80it/s]\nExecuting node 16, title: Save Image, class type: SaveImage\nExecuting node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho\nExecuting node 18, title: Save Image, class type: SaveImage\nPrompt executed in 22.43 seconds\noutputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_osxck_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00001_.png\nComfyUI_00002_.png",
  "metrics": {
    "predict_time": 24.86462,
    "total_time": 24.909104
  },
  "output": [
    "https://replicate.delivery/pbxt/hauYlnaW2yYdCVoJAXi0vVS1ITdZ0u58pj8eEoMWlp9zPyMJA/ComfyUI_00001_.png",
    "https://replicate.delivery/pbxt/PDxNQhYhWJ7NBdJQuBqggaq88rDeeWVo1rf7L4unwLESfRmJB/ComfyUI_00002_.png"
  ],
  "started_at": "2024-02-23T12:55:44.817615Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fcg7lrtbpygvie5ypd4ikamowi",
    "cancel": "https://api.replicate.com/v1/predictions/fcg7lrtbpygvie5ypd4ikamowi/cancel"
  },
  "version": "3b2fc090362c3c344456a32b62e4277e4c03e82f0e24c549fa8d01042218f87c"
}

Generated in

24.9 seconds

Tweak it ShareReport

Random seed set to: 964472788
Checking inputs
====================================
Checking weights
✅ artificialguybr/StickersRedmond.safetensors
✅ albedobaseXL_v13.safetensors
✅ 4x-AnimeSharp.pth
✅ RMBG-1.4/model.pth
✅ dreamshaper_8.safetensors
====================================
Running workflow
got prompt
Executing node 2, title: Efficient Loader, class type: Efficient Loader
Requested to load SDXLClipModel
Loading 1 new model
----------------------------------------
Efficient Loader Models Cache:
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)
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Executing node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale
Canva size: 2048x2048
Image size: 1024x1024
Scale factor: 2
Upscaling iteration 1 with scale factor 2
Tile size: 512x512
Tiles amount: 16
Grid: 4x4
Redraw enabled: True
Seams fix mode: NONE
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Executing node 16, title: Save Image, class type: SaveImage
Executing node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho
Executing node 18, title: Save Image, class type: SaveImage
Prompt executed in 22.43 seconds
outputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_osxck_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png
ComfyUI_00002_.png

Prediction

fofr/sticker-maker:4acb778e

Model

fofr/sticker-maker:3b2fc090

jftgzhtbfw7iphp3velqk4vvz4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

24.7s

Created

about 1 year ago

Input

steps: 20
width: 1024
height: 1024
prompt: cyberpunk
upscale: true
upscale_steps: 10
negative_prompt: bubbles

{
  "steps": 20,
  "width": 1024,
  "height": 1024,
  "prompt": "cyberpunk",
  "upscale": true,
  "upscale_steps": 10,
  "negative_prompt": "bubbles"
}

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
  {
    input: {
      steps: 20,
      width: 1024,
      height: 1024,
      prompt: "cyberpunk",
      negative_prompt: "bubbles"
    }
  }
);
console.log(output);

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    input={
        "steps": 20,
        "width": 1024,
        "height": 1024,
        "prompt": "cyberpunk",
        "negative_prompt": "bubbles"
    }
)
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 fofr/sticker-maker 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": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    "input": {
      "steps": 20,
      "width": 1024,
      "height": 1024,
      "prompt": "cyberpunk",
      "negative_prompt": "bubbles"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-23T12:57:37.392413Z",
  "created_at": "2024-02-23T12:57:12.714123Z",
  "data_removed": false,
  "error": null,
  "id": "jftgzhtbfw7iphp3velqk4vvz4",
  "input": {
    "steps": 20,
    "width": 1024,
    "height": 1024,
    "prompt": "cyberpunk",
    "upscale": true,
    "upscale_steps": 10,
    "negative_prompt": "bubbles"
  },
  "logs": "Random seed set to: 2178218815\nChecking inputs\n====================================\nChecking weights\n✅ artificialguybr/StickersRedmond.safetensors\n✅ albedobaseXL_v13.safetensors\n✅ 4x-AnimeSharp.pth\n✅ RMBG-1.4/model.pth\n✅ dreamshaper_8.safetensors\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<00:03,  4.89it/s]\n 10%|█         | 2/20 [00:00<00:03,  4.68it/s]\n 15%|█▌        | 3/20 [00:00<00:03,  4.59it/s]\n 20%|██        | 4/20 [00:00<00:03,  4.59it/s]\n 25%|██▌       | 5/20 [00:01<00:03,  4.63it/s]\n 30%|███       | 6/20 [00:01<00:03,  4.62it/s]\n 35%|███▌      | 7/20 [00:01<00:02,  4.64it/s]\n 40%|████      | 8/20 [00:01<00:02,  4.63it/s]\n 45%|████▌     | 9/20 [00:01<00:02,  4.63it/s]\n 50%|█████     | 10/20 [00:02<00:02,  4.61it/s]\n 55%|█████▌    | 11/20 [00:02<00:01,  4.63it/s]\n 60%|██████    | 12/20 [00:02<00:01,  4.65it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  4.66it/s]\n 70%|███████   | 14/20 [00:03<00:01,  4.66it/s]\n 75%|███████▌  | 15/20 [00:03<00:01,  4.66it/s]\n 80%|████████  | 16/20 [00:03<00:00,  4.66it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  4.68it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  4.69it/s]\n 95%|█████████▌| 19/20 [00:04<00:00,  4.84it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.99it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.71it/s]\nExecuting node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale\nCanva size: 2048x2048\nImage size: 1024x1024\nScale factor: 2\nUpscaling iteration 1 with scale factor 2\nTile size: 512x512\nTiles amount: 16\nGrid: 4x4\nRedraw enabled: True\nSeams fix mode: NONE\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.49it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.20it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.63it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.88it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.44it/s]\n 60%|██████    | 6/10 [00:00<00:00, 22.69it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.64it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.89it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 24.87it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.44it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.79it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.99it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.28it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.33it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.65it/s]\n100%|██████████| 10/10 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[00:00<00:00, 23.39it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.72it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.94it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.24it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.19it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.67it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.89it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.35it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.16it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.69it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.91it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.50it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.27it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.64it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.95it/s]\nExecuting node 16, title: Save Image, class type: SaveImage\nExecuting node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho\nExecuting node 18, title: Save Image, class type: SaveImage\nPrompt executed in 22.25 seconds\noutputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_vbltq_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00001_.png\nComfyUI_00002_.png",
  "metrics": {
    "predict_time": 24.64185,
    "total_time": 24.67829
  },
  "output": [
    "https://replicate.delivery/pbxt/p8mAenwuAQXKeUe8RweDx0gtIE3CyAIEgUJfxK4cxGafPIZmE/ComfyUI_00001_.png",
    "https://replicate.delivery/pbxt/NX0pxsueaLxCZKUf3sh9kM5PDPJBHSqoyyELv6DRuHqAhkZSA/ComfyUI_00002_.png"
  ],
  "started_at": "2024-02-23T12:57:12.750563Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/jftgzhtbfw7iphp3velqk4vvz4",
    "cancel": "https://api.replicate.com/v1/predictions/jftgzhtbfw7iphp3velqk4vvz4/cancel"
  },
  "version": "3b2fc090362c3c344456a32b62e4277e4c03e82f0e24c549fa8d01042218f87c"
}

Generated in

24.6 seconds

Tweak it ShareReport

Random seed set to: 2178218815
Checking inputs
====================================
Checking weights
✅ artificialguybr/StickersRedmond.safetensors
✅ albedobaseXL_v13.safetensors
✅ 4x-AnimeSharp.pth
✅ RMBG-1.4/model.pth
✅ dreamshaper_8.safetensors
====================================
Running workflow
got prompt
Executing node 2, title: Efficient Loader, class type: Efficient Loader
Requested to load SDXLClipModel
Loading 1 new model
----------------------------------------
Efficient Loader Models Cache:
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)
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Executing node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale
Canva size: 2048x2048
Image size: 1024x1024
Scale factor: 2
Upscaling iteration 1 with scale factor 2
Tile size: 512x512
Tiles amount: 16
Grid: 4x4
Redraw enabled: True
Seams fix mode: NONE
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Executing node 16, title: Save Image, class type: SaveImage
Executing node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho
Executing node 18, title: Save Image, class type: SaveImage
Prompt executed in 22.25 seconds
outputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_vbltq_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png
ComfyUI_00002_.png

Prediction

fofr/sticker-maker:4acb778e

Model

fofr/sticker-maker:3d72dfb2

zvykyotb466mqmdudyavoizsv4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

24.9s

Created

about 1 year ago

Input

steps: 20
width: 1024
height: 1024
prompt: a toxic yellow smiley face, X eyes
upscale: true
upscale_steps: 10
negative_prompt

{
  "steps": 20,
  "width": 1024,
  "height": 1024,
  "prompt": "a toxic yellow smiley face, X eyes",
  "upscale": true,
  "upscale_steps": 10,
  "negative_prompt": ""
}

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
  {
    input: {
      steps: 20,
      width: 1024,
      height: 1024,
      prompt: "a toxic yellow smiley face, X eyes",
      negative_prompt: ""
    }
  }
);
console.log(output);

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    input={
        "steps": 20,
        "width": 1024,
        "height": 1024,
        "prompt": "a toxic yellow smiley face, X eyes",
        "negative_prompt": ""
    }
)
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 fofr/sticker-maker 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": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    "input": {
      "steps": 20,
      "width": 1024,
      "height": 1024,
      "prompt": "a toxic yellow smiley face, X eyes",
      "negative_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-23T13:00:46.550368Z",
  "created_at": "2024-02-23T13:00:21.642918Z",
  "data_removed": false,
  "error": null,
  "id": "zvykyotb466mqmdudyavoizsv4",
  "input": {
    "steps": 20,
    "width": 1024,
    "height": 1024,
    "prompt": "a toxic yellow smiley face, X eyes",
    "upscale": true,
    "upscale_steps": 10,
    "negative_prompt": ""
  },
  "logs": "Random seed set to: 2276563659\nChecking inputs\n====================================\nChecking weights\n✅ artificialguybr/StickersRedmond.safetensors\n✅ 4x-AnimeSharp.pth\n✅ RMBG-1.4/model.pth\n✅ dreamshaper_8.safetensors\n✅ albedobaseXL_v13.safetensors\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<00:03,  4.87it/s]\n 10%|█         | 2/20 [00:00<00:03,  4.66it/s]\n 15%|█▌        | 3/20 [00:00<00:03,  4.59it/s]\n 20%|██        | 4/20 [00:00<00:03,  4.03it/s]\n 25%|██▌       | 5/20 [00:01<00:03,  4.22it/s]\n 30%|███       | 6/20 [00:01<00:03,  4.30it/s]\n 35%|███▌      | 7/20 [00:01<00:02,  4.38it/s]\n 40%|████      | 8/20 [00:01<00:02,  4.41it/s]\n 45%|████▌     | 9/20 [00:02<00:02,  4.44it/s]\n 50%|█████     | 10/20 [00:02<00:02,  4.48it/s]\n 55%|█████▌    | 11/20 [00:02<00:01,  4.51it/s]\n 60%|██████    | 12/20 [00:02<00:01,  4.54it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  4.58it/s]\n 70%|███████   | 14/20 [00:03<00:01,  4.60it/s]\n 75%|███████▌  | 15/20 [00:03<00:01,  4.60it/s]\n 80%|████████  | 16/20 [00:03<00:00,  4.61it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  4.62it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  4.64it/s]\n 95%|█████████▌| 19/20 [00:04<00:00,  4.79it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.93it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.57it/s]\nExecuting node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale\nCanva size: 2048x2048\nImage size: 1024x1024\nScale factor: 2\nUpscaling iteration 1 with scale factor 2\nTile size: 512x512\nTiles amount: 16\nGrid: 4x4\nRedraw enabled: True\nSeams fix mode: NONE\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.44it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.22it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.64it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.87it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.21it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.30it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.61it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.87it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.29it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.20it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.57it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.82it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.35it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.23it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.58it/s]\n100%|██████████| 10/10 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[00:00<00:00, 21.03it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 21.37it/s]\n100%|██████████| 10/10 [00:00<00:00, 21.67it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.02it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.05it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.45it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.67it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.27it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.18it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.53it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.76it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.22it/s]\n 60%|██████    | 6/10 [00:00<00:00, 23.15it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 22.34it/s]\n100%|██████████| 10/10 [00:00<00:00, 22.74it/s]\nExecuting node 16, title: Save Image, class type: SaveImage\nExecuting node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho\nExecuting node 18, title: Save Image, class type: SaveImage\nPrompt executed in 22.51 seconds\noutputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_ufsjp_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00001_.png\nComfyUI_00002_.png",
  "metrics": {
    "predict_time": 24.865925,
    "total_time": 24.90745
  },
  "output": [
    "https://replicate.delivery/pbxt/lfMTYdFqXDQaYCMpjqTPMjvRjy50d53lknRzAUGluAaejkZSA/ComfyUI_00001_.png",
    "https://replicate.delivery/pbxt/Jbn4ks6NwxZZMtx11GiQmfELek5RfezWwcVxxVmAt5t5PSmJB/ComfyUI_00002_.png"
  ],
  "started_at": "2024-02-23T13:00:21.684443Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/zvykyotb466mqmdudyavoizsv4",
    "cancel": "https://api.replicate.com/v1/predictions/zvykyotb466mqmdudyavoizsv4/cancel"
  },
  "version": "3d72dfb2c09f9502b62f29026415ab0024fb8a2033a145d971a7eb4dc172177d"
}

Generated in

24.9 seconds

Tweak it ShareReport

Random seed set to: 2276563659
Checking inputs
====================================
Checking weights
✅ artificialguybr/StickersRedmond.safetensors
✅ 4x-AnimeSharp.pth
✅ RMBG-1.4/model.pth
✅ dreamshaper_8.safetensors
✅ albedobaseXL_v13.safetensors
====================================
Running workflow
got prompt
Executing node 2, title: Efficient Loader, class type: Efficient Loader
Requested to load SDXLClipModel
Loading 1 new model
----------------------------------------
Efficient Loader Models Cache:
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)
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Executing node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale
Canva size: 2048x2048
Image size: 1024x1024
Scale factor: 2
Upscaling iteration 1 with scale factor 2
Tile size: 512x512
Tiles amount: 16
Grid: 4x4
Redraw enabled: True
Seams fix mode: NONE
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Executing node 16, title: Save Image, class type: SaveImage
Executing node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho
Executing node 18, title: Save Image, class type: SaveImage
Prompt executed in 22.51 seconds
outputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_ufsjp_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png
ComfyUI_00002_.png

Prediction

fofr/sticker-maker:4acb778e

Model

fofr/sticker-maker:4acb778e

b1s5rprwcxrgp0cf1ahvvk8apc

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

49.9s

Created

11 months ago by @fofr

Input

steps: 17
width: 1152
height: 1152
prompt: a cute cat
output_format: webp
output_quality: 100
negative_prompt
number_of_images: 1

{
  "steps": 17,
  "width": 1152,
  "height": 1152,
  "prompt": "a cute cat",
  "output_format": "webp",
  "output_quality": 100,
  "negative_prompt": "",
  "number_of_images": 1
}

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
  {
    input: {
      steps: 17,
      width: 1152,
      height: 1152,
      prompt: "a cute cat",
      output_format: "webp",
      output_quality: 100,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);
console.log(output);

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    input={
        "steps": 17,
        "width": 1152,
        "height": 1152,
        "prompt": "a cute cat",
        "output_format": "webp",
        "output_quality": 100,
        "negative_prompt": "",
        "number_of_images": 1
    }
)
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 fofr/sticker-maker 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": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    "input": {
      "steps": 17,
      "width": 1152,
      "height": 1152,
      "prompt": "a cute cat",
      "output_format": "webp",
      "output_quality": 100,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-04-23T11:07:42.785684Z",
  "created_at": "2024-04-23T11:06:52.903000Z",
  "data_removed": false,
  "error": null,
  "id": "b1s5rprwcxrgp0cf1ahvvk8apc",
  "input": {
    "steps": 17,
    "width": 1152,
    "height": 1152,
    "prompt": "a cute cat",
    "output_format": "webp",
    "output_quality": 100,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 1030325473\nChecking inputs\n====================================\nChecking weights\n✅ vae_transparent_decoder.safetensors\n✅ artificialguybr/StickersRedmond.safetensors\n✅ layer_xl_transparent_attn.safetensors\n✅ albedobaseXL_v13.safetensors\n====================================\nRunning workflow\ngot prompt\nRequested to load SDXLClipModel\nLoading 1 new model\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nRequested to load SDXLClipModel\nLoading 1 new model\nExecuting node 5, title: Empty Latent Image, class type: EmptyLatentImage\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/17 [00:00<?, ?it/s]\n  6%|▌         | 1/17 [00:00<00:04,  3.91it/s]\n 12%|█▏        | 2/17 [00:00<00:03,  3.89it/s]\n 18%|█▊        | 3/17 [00:00<00:03,  3.88it/s]\n 24%|██▎       | 4/17 [00:01<00:03,  3.89it/s]\n 29%|██▉       | 5/17 [00:01<00:03,  3.88it/s]\n 35%|███▌      | 6/17 [00:01<00:02,  3.88it/s]\n 41%|████      | 7/17 [00:01<00:02,  3.88it/s]\n 47%|████▋     | 8/17 [00:02<00:02,  3.88it/s]\n 53%|█████▎    | 9/17 [00:02<00:02,  3.88it/s]\n 59%|█████▉    | 10/17 [00:02<00:01,  3.88it/s]\n 65%|██████▍   | 11/17 [00:02<00:01,  3.89it/s]\n 71%|███████   | 12/17 [00:03<00:01,  3.89it/s]\n 76%|███████▋  | 13/17 [00:03<00:01,  3.89it/s]\n 82%|████████▏ | 14/17 [00:03<00:00,  3.89it/s]\n 88%|████████▊ | 15/17 [00:03<00:00,  3.89it/s]\n 94%|█████████▍| 16/17 [00:04<00:00,  3.90it/s]\n100%|██████████| 17/17 [00:04<00:00,  3.91it/s]\n100%|██████████| 17/17 [00:04<00:00,  3.89it/s]\nExecuting node 14, title: VAE Decode, class type: VAEDecode\nExecuting node 20, title: Preview Image, class type: PreviewImage\nExecuting node 36, title: Layer Diffuse Decode (RGBA), class type: LayeredDiffusionDecodeRGBA\n  0%|          | 0/8 [00:00<?, ?it/s]\n 25%|██▌       | 2/8 [00:00<00:00,  7.35it/s]\n 38%|███▊      | 3/8 [00:00<00:00,  5.86it/s]\n 50%|█████     | 4/8 [00:00<00:00,  5.30it/s]\n 62%|██████▎   | 5/8 [00:00<00:00,  5.02it/s]\n 75%|███████▌  | 6/8 [00:01<00:00,  4.86it/s]\n 88%|████████▊ | 7/8 [00:01<00:00,  4.76it/s]\n100%|██████████| 8/8 [00:01<00:00,  4.69it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.04it/s]\nExecuting node 48, title: Save Image, class type: SaveImage\nPrompt executed in 6.75 seconds\noutputs:  {'20': {'images': [{'filename': 'ComfyUI_temp_mhhsy_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '48': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 8.638063,
    "total_time": 49.882684
  },
  "output": [
    "https://replicate.delivery/pbxt/89kikrVNWfxve0Oy3YjWHqpXri9FeejOfDbP1Kdhcq7uPkqVC/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-04-23T11:07:34.147621Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/b1s5rprwcxrgp0cf1ahvvk8apc",
    "cancel": "https://api.replicate.com/v1/predictions/b1s5rprwcxrgp0cf1ahvvk8apc/cancel"
  },
  "version": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a"
}

Generated in

8.6 seconds

Tweak it ShareReport

Random seed set to: 1030325473
Checking inputs
====================================
Checking weights
✅ vae_transparent_decoder.safetensors
✅ artificialguybr/StickersRedmond.safetensors
✅ layer_xl_transparent_attn.safetensors
✅ albedobaseXL_v13.safetensors
====================================
Running workflow
got prompt
Requested to load SDXLClipModel
Loading 1 new model
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Requested to load SDXLClipModel
Loading 1 new model
Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage
Executing node 3, title: KSampler, class type: KSampler
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100%|██████████| 17/17 [00:04<00:00,  3.91it/s]
100%|██████████| 17/17 [00:04<00:00,  3.89it/s]
Executing node 14, title: VAE Decode, class type: VAEDecode
Executing node 20, title: Preview Image, class type: PreviewImage
Executing node 36, title: Layer Diffuse Decode (RGBA), class type: LayeredDiffusionDecodeRGBA
  0%|          | 0/8 [00:00<?, ?it/s]
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100%|██████████| 8/8 [00:01<00:00,  5.04it/s]
Executing node 48, title: Save Image, class type: SaveImage
Prompt executed in 6.75 seconds
outputs:  {'20': {'images': [{'filename': 'ComfyUI_temp_mhhsy_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '48': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png

Prediction

fofr/sticker-maker:4acb778e

Model

fofr/sticker-maker:4acb778e

emmfw2e51srma0cke9x8a31zxm

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

4.6s

Created

4 months ago

Input

steps: 17
width: 1152
height: 1152
prompt: a cute cat
output_format: webp
output_quality: 100
negative_prompt
number_of_images: 1

{
  "steps": 17,
  "width": 1152,
  "height": 1152,
  "prompt": "a cute cat",
  "output_format": "webp",
  "output_quality": 100,
  "negative_prompt": "",
  "number_of_images": 1
}

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
  {
    input: {
      steps: 17,
      width: 1152,
      height: 1152,
      prompt: "a cute cat",
      output_format: "webp",
      output_quality: 100,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);
console.log(output);

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 fofr/sticker-maker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sticker-maker:4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    input={
        "steps": 17,
        "width": 1152,
        "height": 1152,
        "prompt": "a cute cat",
        "output_format": "webp",
        "output_quality": 100,
        "negative_prompt": "",
        "number_of_images": 1
    }
)
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 fofr/sticker-maker 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": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a",
    "input": {
      "steps": 17,
      "width": 1152,
      "height": 1152,
      "prompt": "a cute cat",
      "output_format": "webp",
      "output_quality": 100,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-11-28T11:14:33.380853Z",
  "created_at": "2024-11-28T11:14:28.750000Z",
  "data_removed": false,
  "error": null,
  "id": "emmfw2e51srma0cke9x8a31zxm",
  "input": {
    "steps": 17,
    "width": 1152,
    "height": 1152,
    "prompt": "a cute cat",
    "output_format": "webp",
    "output_quality": 100,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 4001634075\nChecking inputs\n====================================\nChecking weights\n✅ albedobaseXL_v13.safetensors\n✅ layer_xl_transparent_attn.safetensors\n✅ artificialguybr/StickersRedmond.safetensors\n✅ vae_transparent_decoder.safetensors\n====================================\nRunning workflow\ngot prompt\nRequested to load SDXLClipModel\nLoading 1 new model\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 5, title: Empty Latent Image, class type: EmptyLatentImage\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/17 [00:00<?, ?it/s]\n  6%|▌         | 1/17 [00:00<00:02,  6.59it/s]\n 12%|█▏        | 2/17 [00:00<00:02,  6.81it/s]\n 18%|█▊        | 3/17 [00:00<00:02,  6.89it/s]\n 24%|██▎       | 4/17 [00:00<00:01,  6.93it/s]\n 29%|██▉       | 5/17 [00:00<00:01,  6.93it/s]\n 35%|███▌      | 6/17 [00:00<00:01,  6.95it/s]\n 41%|████      | 7/17 [00:01<00:01,  6.96it/s]\n 47%|████▋     | 8/17 [00:01<00:01,  6.97it/s]\n 53%|█████▎    | 9/17 [00:01<00:01,  6.97it/s]\n 59%|█████▉    | 10/17 [00:01<00:01,  6.97it/s]\n 65%|██████▍   | 11/17 [00:01<00:00,  6.98it/s]\n 71%|███████   | 12/17 [00:01<00:00,  6.99it/s]\n 76%|███████▋  | 13/17 [00:01<00:00,  6.99it/s]\n 82%|████████▏ | 14/17 [00:02<00:00,  6.99it/s]\n 88%|████████▊ | 15/17 [00:02<00:00,  7.00it/s]\n 94%|█████████▍| 16/17 [00:02<00:00,  7.03it/s]\n100%|██████████| 17/17 [00:02<00:00,  7.04it/s]\n100%|██████████| 17/17 [00:02<00:00,  6.97it/s]\nExecuting node 14, title: VAE Decode, class type: VAEDecode\nExecuting node 20, title: Preview Image, class type: PreviewImage\nExecuting node 36, title: Layer Diffuse Decode (RGBA), class type: LayeredDiffusionDecodeRGBA\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:01,  6.03it/s]\n 38%|███▊      | 3/8 [00:00<00:00,  7.85it/s]\n 50%|█████     | 4/8 [00:00<00:00,  7.69it/s]\n 62%|██████▎   | 5/8 [00:00<00:00,  7.60it/s]\n 75%|███████▌  | 6/8 [00:00<00:00,  7.54it/s]\n 88%|████████▊ | 7/8 [00:00<00:00,  7.50it/s]\n100%|██████████| 8/8 [00:01<00:00,  7.48it/s]\n100%|██████████| 8/8 [00:01<00:00,  7.49it/s]\nExecuting node 48, title: Save Image, class type: SaveImage\nPrompt executed in 4.10 seconds\noutputs:  {'20': {'images': [{'filename': 'ComfyUI_temp_kmlpk_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '48': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 4.622765286,
    "total_time": 4.630853
  },
  "output": [
    "https://replicate.delivery/xezq/ed6kMmOhNz2YfEaGJwmUeSAmzKDFeCPQP8buewJzffMrMFw6JA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-11-28T11:14:28.758087Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-or2ov7sc7dnal2sp3p53rrtqxnwc2yehb6v2b6zrxtzy6igu3w4q",
    "get": "https://api.replicate.com/v1/predictions/emmfw2e51srma0cke9x8a31zxm",
    "cancel": "https://api.replicate.com/v1/predictions/emmfw2e51srma0cke9x8a31zxm/cancel"
  },
  "version": "4acb778eb059772225ec213948f0660867b2e03f277448f18cf1800b96a65a1a"
}

Generated in

4.6 seconds

Tweak it ShareReport

Random seed set to: 4001634075
Checking inputs
====================================
Checking weights
✅ albedobaseXL_v13.safetensors
✅ layer_xl_transparent_attn.safetensors
✅ artificialguybr/StickersRedmond.safetensors
✅ vae_transparent_decoder.safetensors
====================================
Running workflow
got prompt
Requested to load SDXLClipModel
Loading 1 new model
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage
Executing node 3, title: KSampler, class type: KSampler
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Executing node 14, title: VAE Decode, class type: VAEDecode
Executing node 20, title: Preview Image, class type: PreviewImage
Executing node 36, title: Layer Diffuse Decode (RGBA), class type: LayeredDiffusionDecodeRGBA
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Executing node 48, title: Save Image, class type: SaveImage
Prompt executed in 4.10 seconds
outputs:  {'20': {'images': [{'filename': 'ComfyUI_temp_kmlpk_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '48': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png

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