Readme
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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 marcodemutiis/parappa using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"marcodemutiis/parappa:4319261c244552bd8832fe589147f2ecc3104f0c0390f0cd6dcced0dd54588af",
{
input: {
model: "dev",
prompt: "an image in the style or PRPP",
go_fast: false,
lora_scale: 1.32,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "1:1",
output_format: "png",
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 marcodemutiis/parappa using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"marcodemutiis/parappa:4319261c244552bd8832fe589147f2ecc3104f0c0390f0cd6dcced0dd54588af",
input={
"model": "dev",
"prompt": "an image in the style or PRPP",
"go_fast": False,
"lora_scale": 1.32,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"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 marcodemutiis/parappa 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": "marcodemutiis/parappa:4319261c244552bd8832fe589147f2ecc3104f0c0390f0cd6dcced0dd54588af",
"input": {
"model": "dev",
"prompt": "an image in the style or PRPP",
"go_fast": false,
"lora_scale": 1.32,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"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": "2024-09-18T19:24:47.569366Z",
"created_at": "2024-09-18T19:22:48.341000Z",
"data_removed": false,
"error": null,
"id": "wcaxm4jmjnrm60cj0tb9w012b0",
"input": {
"model": "dev",
"prompt": "an image in the style or PRPP",
"lora_scale": 1.32,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "Using seed: 40865\nPrompt: an image in the style or PRPP\n[!] txt2img mode\nUsing dev model\nfree=6677596266496\nDownloading weights\n2024-09-18T19:22:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpggzmem6w/weights url=https://replicate.delivery/yhqm/FqDfRHgwD1xhQy0RYNIub49l95hLJpR4f2mBcUbTxfhf3t4NB/trained_model.tar\n2024-09-18T19:22:50Z | INFO | [ Complete ] dest=/tmp/tmpggzmem6w/weights size=\"172 MB\" total_elapsed=2.544s url=https://replicate.delivery/yhqm/FqDfRHgwD1xhQy0RYNIub49l95hLJpR4f2mBcUbTxfhf3t4NB/trained_model.tar\nDownloaded weights in 2.58s\nLoaded LoRAs in 110.40s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.41it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.75it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.65it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.60it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.57it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.54it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.53it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.51it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.52it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.52it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.52it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.52it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.52it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.51it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.50it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.52it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.52it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.52it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.52it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.52it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.51it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.52it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.51it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.52it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.52it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.52it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.51it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.53it/s]",
"metrics": {
"predict_time": 119.221147459,
"total_time": 119.228366
},
"output": [
"https://replicate.delivery/yhqm/vDwZTjfCYVxLdquSeRNLZfTFKWHLfPowxF8NFJhNBfz5faj3E/out-0.png"
],
"started_at": "2024-09-18T19:22:48.348219Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/wcaxm4jmjnrm60cj0tb9w012b0",
"cancel": "https://api.replicate.com/v1/predictions/wcaxm4jmjnrm60cj0tb9w012b0/cancel"
},
"version": "4319261c244552bd8832fe589147f2ecc3104f0c0390f0cd6dcced0dd54588af"
}
Using seed: 40865
Prompt: an image in the style or PRPP
[!] txt2img mode
Using dev model
free=6677596266496
Downloading weights
2024-09-18T19:22:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpggzmem6w/weights url=https://replicate.delivery/yhqm/FqDfRHgwD1xhQy0RYNIub49l95hLJpR4f2mBcUbTxfhf3t4NB/trained_model.tar
2024-09-18T19:22:50Z | INFO | [ Complete ] dest=/tmp/tmpggzmem6w/weights size="172 MB" total_elapsed=2.544s url=https://replicate.delivery/yhqm/FqDfRHgwD1xhQy0RYNIub49l95hLJpR4f2mBcUbTxfhf3t4NB/trained_model.tar
Downloaded weights in 2.58s
Loaded LoRAs in 110.40s
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This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.
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.
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: 40865
Prompt: an image in the style or PRPP
[!] txt2img mode
Using dev model
free=6677596266496
Downloading weights
2024-09-18T19:22:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpggzmem6w/weights url=https://replicate.delivery/yhqm/FqDfRHgwD1xhQy0RYNIub49l95hLJpR4f2mBcUbTxfhf3t4NB/trained_model.tar
2024-09-18T19:22:50Z | INFO | [ Complete ] dest=/tmp/tmpggzmem6w/weights size="172 MB" total_elapsed=2.544s url=https://replicate.delivery/yhqm/FqDfRHgwD1xhQy0RYNIub49l95hLJpR4f2mBcUbTxfhf3t4NB/trained_model.tar
Downloaded weights in 2.58s
Loaded LoRAs in 110.40s
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