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adirik /realvisxl-v3.0-turbo:6e941e7f
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=adirik/realvisxl-v3.0-turbo
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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c",
{
input: {
width: 768,
height: 768,
prompt: "An astronaut riding a rainbow unicorn",
refine: "no_refiner",
scheduler: "DPM++_SDE_Karras",
num_outputs: 1,
guidance_scale: 2,
apply_watermark: false,
high_noise_frac: 0.8,
negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
prompt_strength: 0.8,
num_inference_steps: 25
}
}
);
// 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c",
input={
"width": 768,
"height": 768,
"prompt": "An astronaut riding a rainbow unicorn",
"refine": "no_refiner",
"scheduler": "DPM++_SDE_Karras",
"num_outputs": 1,
"guidance_scale": 2,
"apply_watermark": False,
"high_noise_frac": 0.8,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"prompt_strength": 0.8,
"num_inference_steps": 25
}
)
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 adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c",
"input": {
"width": 768,
"height": 768,
"prompt": "An astronaut riding a rainbow unicorn",
"refine": "no_refiner",
"scheduler": "DPM++_SDE_Karras",
"num_outputs": 1,
"guidance_scale": 2,
"apply_watermark": false,
"high_noise_frac": 0.8,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"prompt_strength": 0.8,
"num_inference_steps": 25
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
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Output
{
"completed_at": "2023-12-29T12:32:44.596623Z",
"created_at": "2023-12-29T12:29:55.775429Z",
"data_removed": false,
"error": null,
"id": "ommkf7dbipo2nipxtnjnv4fwli",
"input": {
"width": 768,
"height": 768,
"prompt": "An astronaut riding a rainbow unicorn",
"refine": "no_refiner",
"scheduler": "DPM++_SDE_Karras",
"num_outputs": 1,
"guidance_scale": 2,
"apply_watermark": false,
"high_noise_frac": 0.8,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"prompt_strength": 0.8,
"num_inference_steps": 25
},
"logs": "Using seed: 11998\nPrompt: An astronaut riding a rainbow unicorn\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:17, 1.37it/s]\n 8%|▊ | 2/25 [00:00<00:08, 2.70it/s]\n 12%|█▏ | 3/25 [00:00<00:05, 3.90it/s]\n 16%|█▌ | 4/25 [00:01<00:04, 4.93it/s]\n 20%|██ | 5/25 [00:01<00:03, 5.77it/s]\n 24%|██▍ | 6/25 [00:01<00:02, 6.42it/s]\n 28%|██▊ | 7/25 [00:01<00:02, 6.92it/s]\n 32%|███▏ | 8/25 [00:01<00:02, 7.29it/s]\n 36%|███▌ | 9/25 [00:01<00:02, 7.55it/s]\n 40%|████ | 10/25 [00:01<00:01, 7.74it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 7.87it/s]\n 48%|████▊ | 12/25 [00:02<00:01, 7.96it/s]\n 52%|█████▏ | 13/25 [00:02<00:01, 8.04it/s]\n 56%|█████▌ | 14/25 [00:02<00:01, 8.08it/s]\n 60%|██████ | 15/25 [00:02<00:01, 8.12it/s]\n 64%|██████▍ | 16/25 [00:02<00:01, 8.15it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.19it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.20it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.22it/s]\n 80%|████████ | 20/25 [00:03<00:00, 8.23it/s]\n 84%|████████▍ | 21/25 [00:03<00:00, 8.24it/s]\n 88%|████████▊ | 22/25 [00:03<00:00, 8.24it/s]\n 92%|█████████▏| 23/25 [00:03<00:00, 8.23it/s]\n 96%|█████████▌| 24/25 [00:03<00:00, 8.22it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.22it/s]\n100%|██████████| 25/25 [00:03<00:00, 6.86it/s]",
"metrics": {
"predict_time": 5.453418,
"total_time": 168.821194
},
"output": [
"https://replicate.delivery/pbxt/4MhHPJRLlB65IJPOeJFe3khz5Hn6i5CCrrzCr062Kqns5GHSA/out-0.png"
],
"started_at": "2023-12-29T12:32:39.143205Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/ommkf7dbipo2nipxtnjnv4fwli",
"cancel": "https://api.replicate.com/v1/predictions/ommkf7dbipo2nipxtnjnv4fwli/cancel"
},
"version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c"
}Generated in
Using seed: 11998
Prompt: An astronaut riding a rainbow unicorn
txt2img mode
0%| | 0/25 [00:00<?, ?it/s]
4%|▍ | 1/25 [00:00<00:17, 1.37it/s]
8%|▊ | 2/25 [00:00<00:08, 2.70it/s]
12%|█▏ | 3/25 [00:00<00:05, 3.90it/s]
16%|█▌ | 4/25 [00:01<00:04, 4.93it/s]
20%|██ | 5/25 [00:01<00:03, 5.77it/s]
24%|██▍ | 6/25 [00:01<00:02, 6.42it/s]
28%|██▊ | 7/25 [00:01<00:02, 6.92it/s]
32%|███▏ | 8/25 [00:01<00:02, 7.29it/s]
36%|███▌ | 9/25 [00:01<00:02, 7.55it/s]
40%|████ | 10/25 [00:01<00:01, 7.74it/s]
44%|████▍ | 11/25 [00:01<00:01, 7.87it/s]
48%|████▊ | 12/25 [00:02<00:01, 7.96it/s]
52%|█████▏ | 13/25 [00:02<00:01, 8.04it/s]
56%|█████▌ | 14/25 [00:02<00:01, 8.08it/s]
60%|██████ | 15/25 [00:02<00:01, 8.12it/s]
64%|██████▍ | 16/25 [00:02<00:01, 8.15it/s]
68%|██████▊ | 17/25 [00:02<00:00, 8.19it/s]
72%|███████▏ | 18/25 [00:02<00:00, 8.20it/s]
76%|███████▌ | 19/25 [00:02<00:00, 8.22it/s]
80%|████████ | 20/25 [00:03<00:00, 8.23it/s]
84%|████████▍ | 21/25 [00:03<00:00, 8.24it/s]
88%|████████▊ | 22/25 [00:03<00:00, 8.24it/s]
92%|█████████▏| 23/25 [00:03<00:00, 8.23it/s]
96%|█████████▌| 24/25 [00:03<00:00, 8.22it/s]
100%|██████████| 25/25 [00:03<00:00, 8.22it/s]
100%|██████████| 25/25 [00:03<00:00, 6.86it/s]