Readme
This model doesn't have a readme.
Tshirt designs with a hidden Replicate logo
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run fofr/replicate-tshirt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fofr/replicate-tshirt:cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7",
{
input: {
prompt: "a mystical forest, black background, svg, design",
negative_prompt: "text, words, cropped",
number_of_images: 2,
control_illusion_strength: 1.35
}
}
);
// 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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run fofr/replicate-tshirt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fofr/replicate-tshirt:cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7",
input={
"prompt": "a mystical forest, black background, svg, design",
"negative_prompt": "text, words, cropped",
"number_of_images": 2,
"control_illusion_strength": 1.35
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fofr/replicate-tshirt 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": "fofr/replicate-tshirt:cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7",
"input": {
"prompt": "a mystical forest, black background, svg, design",
"negative_prompt": "text, words, cropped",
"number_of_images": 2,
"control_illusion_strength": 1.35
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method or purchase credits to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2024-03-15T13:46:55.624534Z",
"created_at": "2024-03-15T13:46:35.779775Z",
"data_removed": false,
"error": null,
"id": "crzbsxdb4bclefyjnylbmqk3ii",
"input": {
"prompt": "a mystical forest, black background, svg, design",
"negative_prompt": "text, words, cropped",
"number_of_images": 2,
"control_illusion_strength": 1.35
},
"logs": "Random seed set to: 3156845569\nChecking inputs\n✅ /tmp/inputs/replicate-logo.png\n====================================\nRunning workflow\ngot prompt\nExecuting node 69, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 66, title: Apply ControlNet, class type: ControlNetApply\nExecuting node 2, title: KSampler (Efficient), class type: KSampler (Efficient)\nRequested to load ControlNet\nLoading 1 new model\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:14, 1.31it/s]\n 10%|█ | 2/20 [00:01<00:13, 1.30it/s]\n 15%|█▌ | 3/20 [00:02<00:12, 1.31it/s]\n 20%|██ | 4/20 [00:03<00:12, 1.32it/s]\n 25%|██▌ | 5/20 [00:03<00:11, 1.33it/s]\n 30%|███ | 6/20 [00:04<00:10, 1.32it/s]\n 35%|███▌ | 7/20 [00:05<00:09, 1.33it/s]\n 40%|████ | 8/20 [00:06<00:08, 1.33it/s]\n 45%|████▌ | 9/20 [00:06<00:08, 1.34it/s]\n 50%|█████ | 10/20 [00:07<00:07, 1.34it/s]\n 55%|█████▌ | 11/20 [00:08<00:06, 1.35it/s]\n 60%|██████ | 12/20 [00:08<00:05, 1.35it/s]\n 65%|██████▌ | 13/20 [00:09<00:05, 1.35it/s]\n 70%|███████ | 14/20 [00:10<00:04, 1.33it/s]\n 75%|███████▌ | 15/20 [00:11<00:03, 1.33it/s]\n 80%|████████ | 16/20 [00:12<00:03, 1.33it/s]\n 85%|████████▌ | 17/20 [00:12<00:02, 1.34it/s]\n 90%|█████████ | 18/20 [00:13<00:01, 1.35it/s]\n 95%|█████████▌| 19/20 [00:14<00:00, 1.39it/s]\n100%|██████████| 20/20 [00:14<00:00, 1.41it/s]\n100%|██████████| 20/20 [00:14<00:00, 1.35it/s]\nExecuting node 6, title: Save Image, class type: SaveImage\nPrompt executed in 16.73 seconds\noutputs: {'2': {'images': []}, '6': {'images': [{'filename': 'tshirt_00001_.png', 'subfolder': '', 'type': 'output'}, {'filename': 'tshirt_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\ntshirt_00001_.png\ntshirt_00002_.png\n[Path('/tmp/outputs/tshirt_00001_.png'), Path('/tmp/outputs/tshirt_00002_.png')]",
"metrics": {
"predict_time": 19.803061,
"total_time": 19.844759
},
"output": [
"https://replicate.delivery/pbxt/3hofPHovWL36banK0H4rq50PiUtnZjBpN5HdM4ZGfkyNNggSA/tshirt_00001_.png",
"https://replicate.delivery/pbxt/He9grTqSSn26VCTHSZeOxn1dXyiiDFZBJyMHxjB9HWHPNggSA/tshirt_00002_.png"
],
"started_at": "2024-03-15T13:46:35.821473Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/crzbsxdb4bclefyjnylbmqk3ii",
"cancel": "https://api.replicate.com/v1/predictions/crzbsxdb4bclefyjnylbmqk3ii/cancel"
},
"version": "cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7"
}
Random seed set to: 3156845569
Checking inputs
✅ /tmp/inputs/replicate-logo.png
====================================
Running workflow
got prompt
Executing node 69, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 66, title: Apply ControlNet, class type: ControlNetApply
Executing node 2, title: KSampler (Efficient), class type: KSampler (Efficient)
Requested to load ControlNet
Loading 1 new model
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Executing node 6, title: Save Image, class type: SaveImage
Prompt executed in 16.73 seconds
outputs: {'2': {'images': []}, '6': {'images': [{'filename': 'tshirt_00001_.png', 'subfolder': '', 'type': 'output'}, {'filename': 'tshirt_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
tshirt_00001_.png
tshirt_00002_.png
[Path('/tmp/outputs/tshirt_00001_.png'), Path('/tmp/outputs/tshirt_00002_.png')]
This model costs approximately $0.086 to run on Replicate, or 11 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 89 seconds. The predict time for this model varies significantly based on the inputs.
This model doesn't have a readme.
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
This model costs approximately $0.086 to run on Replicate, but this varies depending on your inputs. View more.
Random seed set to: 3156845569
Checking inputs
✅ /tmp/inputs/replicate-logo.png
====================================
Running workflow
got prompt
Executing node 69, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 66, title: Apply ControlNet, class type: ControlNetApply
Executing node 2, title: KSampler (Efficient), class type: KSampler (Efficient)
Requested to load ControlNet
Loading 1 new model
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Executing node 6, title: Save Image, class type: SaveImage
Prompt executed in 16.73 seconds
outputs: {'2': {'images': []}, '6': {'images': [{'filename': 'tshirt_00001_.png', 'subfolder': '', 'type': 'output'}, {'filename': 'tshirt_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
tshirt_00001_.png
tshirt_00002_.png
[Path('/tmp/outputs/tshirt_00001_.png'), Path('/tmp/outputs/tshirt_00002_.png')]