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Input
Run this model in Node.js with one line of code:
npx create-replicate --model=cudanexus/stickergp
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet 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 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: {
steps: 20,
width: 1024,
height: 1024,
prompt: "a cute dog ",
upscale: false,
upscale_steps: 10,
negative_prompt: ""
}
}
);
// 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 replicateSet 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 replicateRun 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={
"steps": 20,
"width": 1024,
"height": 1024,
"prompt": "a cute dog ",
"upscale": False,
"upscale_steps": 10,
"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 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": {
"steps": 20,
"width": 1024,
"height": 1024,
"prompt": "a cute dog ",
"upscale": false,
"upscale_steps": 10,
"negative_prompt": ""
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
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Output
{
"completed_at": "2024-03-16T22:30:00.039291Z",
"created_at": "2024-03-16T22:29:32.214331Z",
"data_removed": false,
"error": null,
"id": "rz3bx3zbvokmbcihijp3hvp6ei",
"input": {
"steps": 20,
"width": 1024,
"height": 1024,
"prompt": "a cute dog ",
"upscale": false,
"upscale_steps": 10,
"negative_prompt": ""
},
"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",
"metrics": {
"predict_time": 27.809204,
"total_time": 27.82496
},
"output": [
"https://replicate.delivery/pbxt/WT0S1FTNDd58FRCoH7Gvt8Nje8V7uvqpz7qqUZ65x1xze8gSA/ComfyUI_00002_.png",
"https://replicate.delivery/pbxt/meCHP58LH0XzSSsZeeqCIMcDqc1RzqVyAenEDS59C8zfsnHUC/ComfyUI_00001_.png"
],
"started_at": "2024-03-16T22:29:32.230087Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/rz3bx3zbvokmbcihijp3hvp6ei",
"cancel": "https://api.replicate.com/v1/predictions/rz3bx3zbvokmbcihijp3hvp6ei/cancel"
},
"version": "6ffeac3440d7f79fe412021e0a2d28b03a43062c090cc0c625d3a73f0aa1f827"
}Generated in
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
----------------------------------------
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 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