Readme
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(Updated 7 months, 3 weeks ago)
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 maxvanderwerf/tnf-backpacks-with-logo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"maxvanderwerf/tnf-backpacks-with-logo:0ec1945b8231bcd82dd9aab13f892bd7fe359e87d4071d3d2d10ac35b4d6ff82",
{
input: {
model: "dev",
prompt: "50mm, f/1.8, morning golden hour. Modern glass-and-steel architecture.\nYoung professional (late 20s, smart casual) with TNF_BACKPACK black edition.\nLaptop visible in open TNF_BACKPACK, sleek leather details catching light.\nSubject ascending modern staircase, city waking up behind. Coffee cup in hand.\nHigh contrast: Sharp blacks against reflective surfaces. Clean, premium aesthetic.",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 2,
aspect_ratio: "1:1",
output_format: "webp",
guidance_scale: 3.5,
output_quality: 90,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 28
}
}
);
// 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 maxvanderwerf/tnf-backpacks-with-logo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"maxvanderwerf/tnf-backpacks-with-logo:0ec1945b8231bcd82dd9aab13f892bd7fe359e87d4071d3d2d10ac35b4d6ff82",
input={
"model": "dev",
"prompt": "50mm, f/1.8, morning golden hour. Modern glass-and-steel architecture.\nYoung professional (late 20s, smart casual) with TNF_BACKPACK black edition.\nLaptop visible in open TNF_BACKPACK, sleek leather details catching light.\nSubject ascending modern staircase, city waking up behind. Coffee cup in hand.\nHigh contrast: Sharp blacks against reflective surfaces. Clean, premium aesthetic.",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 2,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
)
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 maxvanderwerf/tnf-backpacks-with-logo 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": "maxvanderwerf/tnf-backpacks-with-logo:0ec1945b8231bcd82dd9aab13f892bd7fe359e87d4071d3d2d10ac35b4d6ff82",
"input": {
"model": "dev",
"prompt": "50mm, f/1.8, morning golden hour. Modern glass-and-steel architecture.\\nYoung professional (late 20s, smart casual) with TNF_BACKPACK black edition.\\nLaptop visible in open TNF_BACKPACK, sleek leather details catching light.\\nSubject ascending modern staircase, city waking up behind. Coffee cup in hand.\\nHigh contrast: Sharp blacks against reflective surfaces. Clean, premium aesthetic.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 2,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2024-10-27T14:06:01.480861Z",
"created_at": "2024-10-27T14:05:39.478000Z",
"data_removed": false,
"error": null,
"id": "71qr01fx2srm20cjss5rfcqjt0",
"input": {
"model": "dev",
"prompt": "50mm, f/1.8, morning golden hour. Modern glass-and-steel architecture.\nYoung professional (late 20s, smart casual) with TNF_BACKPACK black edition.\nLaptop visible in open TNF_BACKPACK, sleek leather details catching light.\nSubject ascending modern staircase, city waking up behind. Coffee cup in hand.\nHigh contrast: Sharp blacks against reflective surfaces. Clean, premium aesthetic.",
"lora_scale": 1,
"num_outputs": 2,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "Using seed: 63433\nPrompt: 50mm, f/1.8, morning golden hour. Modern glass-and-steel architecture.\nYoung professional (late 20s, smart casual) with TNF_BACKPACK black edition.\nLaptop visible in open TNF_BACKPACK, sleek leather details catching light.\nSubject ascending modern staircase, city waking up behind. Coffee cup in hand.\nHigh contrast: Sharp blacks against reflective surfaces. Clean, premium aesthetic.\n[!] txt2img mode\nUsing dev model\nfree=8358869622784\nDownloading weights\n2024-10-27T14:05:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsuvxc6jv/weights url=https://replicate.delivery/yhqm/mvFkQuKB6GKZPtof8Oaaf2iImAeurElQ38rk3HbClkb085VnA/trained_model.tar\n2024-10-27T14:05:41Z | INFO | [ Complete ] dest=/tmp/tmpsuvxc6jv/weights size=\"161 MB\" total_elapsed=1.556s url=https://replicate.delivery/yhqm/mvFkQuKB6GKZPtof8Oaaf2iImAeurElQ38rk3HbClkb085VnA/trained_model.tar\nDownloaded weights in 1.58s\nLoaded LoRAs in 2.30s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:18, 1.46it/s]\n 7%|▋ | 2/28 [00:01<00:15, 1.64it/s]\n 11%|█ | 3/28 [00:01<00:16, 1.55it/s]\n 14%|█▍ | 4/28 [00:02<00:15, 1.52it/s]\n 18%|█▊ | 5/28 [00:03<00:15, 1.50it/s]\n 21%|██▏ | 6/28 [00:03<00:14, 1.49it/s]\n 25%|██▌ | 7/28 [00:04<00:14, 1.48it/s]\n 29%|██▊ | 8/28 [00:05<00:13, 1.47it/s]\n 32%|███▏ | 9/28 [00:06<00:12, 1.47it/s]\n 36%|███▌ | 10/28 [00:06<00:12, 1.47it/s]\n 39%|███▉ | 11/28 [00:07<00:11, 1.47it/s]\n 43%|████▎ | 12/28 [00:08<00:10, 1.47it/s]\n 46%|████▋ | 13/28 [00:08<00:10, 1.47it/s]\n 50%|█████ | 14/28 [00:09<00:09, 1.46it/s]\n 54%|█████▎ | 15/28 [00:10<00:08, 1.46it/s]\n 57%|█████▋ | 16/28 [00:10<00:08, 1.46it/s]\n 61%|██████ | 17/28 [00:11<00:07, 1.46it/s]\n 64%|██████▍ | 18/28 [00:12<00:06, 1.46it/s]\n 68%|██████▊ | 19/28 [00:12<00:06, 1.46it/s]\n 71%|███████▏ | 20/28 [00:13<00:05, 1.46it/s]\n 75%|███████▌ | 21/28 [00:14<00:04, 1.46it/s]\n 79%|███████▊ | 22/28 [00:14<00:04, 1.46it/s]\n 82%|████████▏ | 23/28 [00:15<00:03, 1.46it/s]\n 86%|████████▌ | 24/28 [00:16<00:02, 1.46it/s]\n 89%|████████▉ | 25/28 [00:16<00:02, 1.46it/s]\n 93%|█████████▎| 26/28 [00:17<00:01, 1.46it/s]\n 96%|█████████▋| 27/28 [00:18<00:00, 1.46it/s]\n100%|██████████| 28/28 [00:19<00:00, 1.46it/s]\n100%|██████████| 28/28 [00:19<00:00, 1.47it/s]",
"metrics": {
"predict_time": 21.970324948,
"total_time": 22.002861
},
"output": [
"https://replicate.delivery/yhqm/AkpoFai7PWYZI1qNUI3pLu54htvgLKBRsCWHJQxu1Rfk1fqTA/out-0.webp",
"https://replicate.delivery/yhqm/urexxgeir7jnSkw6pwDU4cyCxoCkjg4wPMot03TspiwJrfVnA/out-1.webp"
],
"started_at": "2024-10-27T14:05:39.510536Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/wcdb-ucgg3j3uwh7ydhlsgrlbx7ipeu6uuqhwtxpublyf4wyxhlozegrq",
"get": "https://api.replicate.com/v1/predictions/71qr01fx2srm20cjss5rfcqjt0",
"cancel": "https://api.replicate.com/v1/predictions/71qr01fx2srm20cjss5rfcqjt0/cancel"
},
"version": "0ec1945b8231bcd82dd9aab13f892bd7fe359e87d4071d3d2d10ac35b4d6ff82"
}
Using seed: 63433
Prompt: 50mm, f/1.8, morning golden hour. Modern glass-and-steel architecture.
Young professional (late 20s, smart casual) with TNF_BACKPACK black edition.
Laptop visible in open TNF_BACKPACK, sleek leather details catching light.
Subject ascending modern staircase, city waking up behind. Coffee cup in hand.
High contrast: Sharp blacks against reflective surfaces. Clean, premium aesthetic.
[!] txt2img mode
Using dev model
free=8358869622784
Downloading weights
2024-10-27T14:05:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsuvxc6jv/weights url=https://replicate.delivery/yhqm/mvFkQuKB6GKZPtof8Oaaf2iImAeurElQ38rk3HbClkb085VnA/trained_model.tar
2024-10-27T14:05:41Z | INFO | [ Complete ] dest=/tmp/tmpsuvxc6jv/weights size="161 MB" total_elapsed=1.556s url=https://replicate.delivery/yhqm/mvFkQuKB6GKZPtof8Oaaf2iImAeurElQ38rk3HbClkb085VnA/trained_model.tar
Downloaded weights in 1.58s
Loaded LoRAs in 2.30s
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This model costs approximately $0.059 to run on Replicate, or 16 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 H100 GPU hardware. Predictions typically complete within 39 seconds.
This model doesn't have a readme.
This model is warm. 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 $0.059 to run on Replicate, but this varies depending on your inputs. View more.
Choose a file from your machine
Hint: you can also drag files onto the input
Choose a file from your machine
Hint: you can also drag files onto the input
Using seed: 63433
Prompt: 50mm, f/1.8, morning golden hour. Modern glass-and-steel architecture.
Young professional (late 20s, smart casual) with TNF_BACKPACK black edition.
Laptop visible in open TNF_BACKPACK, sleek leather details catching light.
Subject ascending modern staircase, city waking up behind. Coffee cup in hand.
High contrast: Sharp blacks against reflective surfaces. Clean, premium aesthetic.
[!] txt2img mode
Using dev model
free=8358869622784
Downloading weights
2024-10-27T14:05:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsuvxc6jv/weights url=https://replicate.delivery/yhqm/mvFkQuKB6GKZPtof8Oaaf2iImAeurElQ38rk3HbClkb085VnA/trained_model.tar
2024-10-27T14:05:41Z | INFO | [ Complete ] dest=/tmp/tmpsuvxc6jv/weights size="161 MB" total_elapsed=1.556s url=https://replicate.delivery/yhqm/mvFkQuKB6GKZPtof8Oaaf2iImAeurElQ38rk3HbClkb085VnA/trained_model.tar
Downloaded weights in 1.58s
Loaded LoRAs in 2.30s
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