Readme
This model doesn't have a readme.
Text to image prompt
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run qr2ai/ar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"qr2ai/ar:3cfdeb382d7cd41ba48a9e32054e14fd4b1b51ed4566176ab7699d69c5ff1873",
{
input: {
seed: 0,
d_text: ".",
prompt: "solarpunk future cityscape",
t_text: ".",
f_style_1: "ar_style6",
f_style_2: "ar_style6",
blend_mode: "lighten",
image_size: "1024x1024",
final_color: "teal",
design_color: "yellow",
condition_scale: 0.65,
name_position_1: "bottom",
name_position_2: "bottom",
negative_prompt: "low quality, bad quality, sketches, nsfw",
padding_option_1: 50,
padding_option_2: 50,
num_inference_steps: 50
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output);
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 qr2ai/ar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"qr2ai/ar:3cfdeb382d7cd41ba48a9e32054e14fd4b1b51ed4566176ab7699d69c5ff1873",
input={
"seed": 0,
"d_text": ".",
"prompt": "solarpunk future cityscape",
"t_text": ".",
"f_style_1": "ar_style6",
"f_style_2": "ar_style6",
"blend_mode": "lighten",
"image_size": "1024x1024",
"final_color": "teal",
"design_color": "yellow",
"condition_scale": 0.65,
"name_position_1": "bottom",
"name_position_2": "bottom",
"negative_prompt": "low quality, bad quality, sketches, nsfw",
"padding_option_1": 50,
"padding_option_2": 50,
"num_inference_steps": 50
}
)
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 qr2ai/ar 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": "qr2ai/ar:3cfdeb382d7cd41ba48a9e32054e14fd4b1b51ed4566176ab7699d69c5ff1873",
"input": {
"seed": 0,
"d_text": ".",
"prompt": "solarpunk future cityscape",
"t_text": ".",
"f_style_1": "ar_style6",
"f_style_2": "ar_style6",
"blend_mode": "lighten",
"image_size": "1024x1024",
"final_color": "teal",
"design_color": "yellow",
"condition_scale": 0.65,
"name_position_1": "bottom",
"name_position_2": "bottom",
"negative_prompt": "low quality, bad quality, sketches, nsfw",
"padding_option_1": 50,
"padding_option_2": 50,
"num_inference_steps": 50
}
}' \
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": "2023-11-26T20:59:53.412657Z",
"created_at": "2023-11-26T20:59:36.668863Z",
"data_removed": false,
"error": null,
"id": "77cl5qdbn56aobmvk7lurwdndi",
"input": {
"seed": 0,
"d_text": ".",
"prompt": "solarpunk future cityscape",
"t_text": ".",
"f_style_1": "ar_style6",
"f_style_2": "ar_style6",
"blend_mode": "lighten",
"image_size": "1024x1024",
"final_color": "teal",
"design_color": "yellow",
"condition_scale": 0.65,
"name_position_1": "bottom",
"name_position_2": "bottom",
"negative_prompt": "low quality, bad quality, sketches, nsfw",
"padding_option_1": 50,
"padding_option_2": 50,
"num_inference_steps": 50
},
"logs": "Random Seed Generated: 65406\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:14, 3.41it/s]\n 4%|▍ | 2/50 [00:00<00:14, 3.40it/s]\n 6%|▌ | 3/50 [00:00<00:13, 3.39it/s]\n 8%|▊ | 4/50 [00:01<00:13, 3.38it/s]\n 10%|█ | 5/50 [00:01<00:13, 3.38it/s]\n 12%|█▏ | 6/50 [00:01<00:13, 3.37it/s]\n 14%|█▍ | 7/50 [00:02<00:12, 3.37it/s]\n 16%|█▌ | 8/50 [00:02<00:12, 3.37it/s]\n 18%|█▊ | 9/50 [00:02<00:12, 3.37it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.36it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.36it/s]\n 24%|██▍ | 12/50 [00:03<00:11, 3.37it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.38it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.38it/s]\n 30%|███ | 15/50 [00:04<00:10, 3.38it/s]\n 32%|███▏ | 16/50 [00:04<00:10, 3.39it/s]\n 34%|███▍ | 17/50 [00:05<00:09, 3.39it/s]\n 36%|███▌ | 18/50 [00:05<00:09, 3.39it/s]\n 38%|███▊ | 19/50 [00:05<00:09, 3.39it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.39it/s]\n 42%|████▏ | 21/50 [00:06<00:08, 3.39it/s]\n 44%|████▍ | 22/50 [00:06<00:08, 3.39it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.39it/s]\n 48%|████▊ | 24/50 [00:07<00:07, 3.39it/s]\n 50%|█████ | 25/50 [00:07<00:07, 3.39it/s]\n 52%|█████▏ | 26/50 [00:07<00:07, 3.39it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.39it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.39it/s]\n 58%|█████▊ | 29/50 [00:08<00:06, 3.39it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.39it/s]\n 62%|██████▏ | 31/50 [00:09<00:05, 3.39it/s]\n 64%|██████▍ | 32/50 [00:09<00:05, 3.38it/s]\n 66%|██████▌ | 33/50 [00:09<00:05, 3.38it/s]\n 68%|██████▊ | 34/50 [00:10<00:04, 3.38it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.38it/s]\n 72%|███████▏ | 36/50 [00:10<00:04, 3.38it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.38it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.38it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.38it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.38it/s]\n 82%|████████▏ | 41/50 [00:12<00:02, 3.38it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.38it/s]\n 86%|████████▌ | 43/50 [00:12<00:02, 3.38it/s]\n 88%|████████▊ | 44/50 [00:13<00:01, 3.38it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.38it/s]\n 92%|█████████▏| 46/50 [00:13<00:01, 3.38it/s]\n 94%|█████████▍| 47/50 [00:13<00:00, 3.38it/s]\n 96%|█████████▌| 48/50 [00:14<00:00, 3.37it/s]\n 98%|█████████▊| 49/50 [00:14<00:00, 3.37it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.37it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.38it/s]",
"metrics": {
"predict_time": 16.701339,
"total_time": 16.743794
},
"output": "https://replicate.delivery/pbxt/PavjEMCDqmrZHRre3tBOlNtj17dNeG2fBGZsQlFsBGwReYxHB/output-0.png",
"started_at": "2023-11-26T20:59:36.711318Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/77cl5qdbn56aobmvk7lurwdndi",
"cancel": "https://api.replicate.com/v1/predictions/77cl5qdbn56aobmvk7lurwdndi/cancel"
},
"version": "0560b83f6c486d584bdcdca7012aa10e254d892dd819121687bce8922656a57b"
}
Random Seed Generated: 65406
0%| | 0/50 [00:00<?, ?it/s]
2%|▏ | 1/50 [00:00<00:14, 3.41it/s]
4%|▍ | 2/50 [00:00<00:14, 3.40it/s]
6%|▌ | 3/50 [00:00<00:13, 3.39it/s]
8%|▊ | 4/50 [00:01<00:13, 3.38it/s]
10%|█ | 5/50 [00:01<00:13, 3.38it/s]
12%|█▏ | 6/50 [00:01<00:13, 3.37it/s]
14%|█▍ | 7/50 [00:02<00:12, 3.37it/s]
16%|█▌ | 8/50 [00:02<00:12, 3.37it/s]
18%|█▊ | 9/50 [00:02<00:12, 3.37it/s]
20%|██ | 10/50 [00:02<00:11, 3.36it/s]
22%|██▏ | 11/50 [00:03<00:11, 3.36it/s]
24%|██▍ | 12/50 [00:03<00:11, 3.37it/s]
26%|██▌ | 13/50 [00:03<00:10, 3.38it/s]
28%|██▊ | 14/50 [00:04<00:10, 3.38it/s]
30%|███ | 15/50 [00:04<00:10, 3.38it/s]
32%|███▏ | 16/50 [00:04<00:10, 3.39it/s]
34%|███▍ | 17/50 [00:05<00:09, 3.39it/s]
36%|███▌ | 18/50 [00:05<00:09, 3.39it/s]
38%|███▊ | 19/50 [00:05<00:09, 3.39it/s]
40%|████ | 20/50 [00:05<00:08, 3.39it/s]
42%|████▏ | 21/50 [00:06<00:08, 3.39it/s]
44%|████▍ | 22/50 [00:06<00:08, 3.39it/s]
46%|████▌ | 23/50 [00:06<00:07, 3.39it/s]
48%|████▊ | 24/50 [00:07<00:07, 3.39it/s]
50%|█████ | 25/50 [00:07<00:07, 3.39it/s]
52%|█████▏ | 26/50 [00:07<00:07, 3.39it/s]
54%|█████▍ | 27/50 [00:07<00:06, 3.39it/s]
56%|█████▌ | 28/50 [00:08<00:06, 3.39it/s]
58%|█████▊ | 29/50 [00:08<00:06, 3.39it/s]
60%|██████ | 30/50 [00:08<00:05, 3.39it/s]
62%|██████▏ | 31/50 [00:09<00:05, 3.39it/s]
64%|██████▍ | 32/50 [00:09<00:05, 3.38it/s]
66%|██████▌ | 33/50 [00:09<00:05, 3.38it/s]
68%|██████▊ | 34/50 [00:10<00:04, 3.38it/s]
70%|███████ | 35/50 [00:10<00:04, 3.38it/s]
72%|███████▏ | 36/50 [00:10<00:04, 3.38it/s]
74%|███████▍ | 37/50 [00:10<00:03, 3.38it/s]
76%|███████▌ | 38/50 [00:11<00:03, 3.38it/s]
78%|███████▊ | 39/50 [00:11<00:03, 3.38it/s]
80%|████████ | 40/50 [00:11<00:02, 3.38it/s]
82%|████████▏ | 41/50 [00:12<00:02, 3.38it/s]
84%|████████▍ | 42/50 [00:12<00:02, 3.38it/s]
86%|████████▌ | 43/50 [00:12<00:02, 3.38it/s]
88%|████████▊ | 44/50 [00:13<00:01, 3.38it/s]
90%|█████████ | 45/50 [00:13<00:01, 3.38it/s]
92%|█████████▏| 46/50 [00:13<00:01, 3.38it/s]
94%|█████████▍| 47/50 [00:13<00:00, 3.38it/s]
96%|█████████▌| 48/50 [00:14<00:00, 3.37it/s]
98%|█████████▊| 49/50 [00:14<00:00, 3.37it/s]
100%|██████████| 50/50 [00:14<00:00, 3.37it/s]
100%|██████████| 50/50 [00:14<00:00, 3.38it/s]
This output was created using a different version of the model, qr2ai/ar:0560b83f.
This model runs on Nvidia L40S 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 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.
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
Random Seed Generated: 65406
0%| | 0/50 [00:00<?, ?it/s]
2%|▏ | 1/50 [00:00<00:14, 3.41it/s]
4%|▍ | 2/50 [00:00<00:14, 3.40it/s]
6%|▌ | 3/50 [00:00<00:13, 3.39it/s]
8%|▊ | 4/50 [00:01<00:13, 3.38it/s]
10%|█ | 5/50 [00:01<00:13, 3.38it/s]
12%|█▏ | 6/50 [00:01<00:13, 3.37it/s]
14%|█▍ | 7/50 [00:02<00:12, 3.37it/s]
16%|█▌ | 8/50 [00:02<00:12, 3.37it/s]
18%|█▊ | 9/50 [00:02<00:12, 3.37it/s]
20%|██ | 10/50 [00:02<00:11, 3.36it/s]
22%|██▏ | 11/50 [00:03<00:11, 3.36it/s]
24%|██▍ | 12/50 [00:03<00:11, 3.37it/s]
26%|██▌ | 13/50 [00:03<00:10, 3.38it/s]
28%|██▊ | 14/50 [00:04<00:10, 3.38it/s]
30%|███ | 15/50 [00:04<00:10, 3.38it/s]
32%|███▏ | 16/50 [00:04<00:10, 3.39it/s]
34%|███▍ | 17/50 [00:05<00:09, 3.39it/s]
36%|███▌ | 18/50 [00:05<00:09, 3.39it/s]
38%|███▊ | 19/50 [00:05<00:09, 3.39it/s]
40%|████ | 20/50 [00:05<00:08, 3.39it/s]
42%|████▏ | 21/50 [00:06<00:08, 3.39it/s]
44%|████▍ | 22/50 [00:06<00:08, 3.39it/s]
46%|████▌ | 23/50 [00:06<00:07, 3.39it/s]
48%|████▊ | 24/50 [00:07<00:07, 3.39it/s]
50%|█████ | 25/50 [00:07<00:07, 3.39it/s]
52%|█████▏ | 26/50 [00:07<00:07, 3.39it/s]
54%|█████▍ | 27/50 [00:07<00:06, 3.39it/s]
56%|█████▌ | 28/50 [00:08<00:06, 3.39it/s]
58%|█████▊ | 29/50 [00:08<00:06, 3.39it/s]
60%|██████ | 30/50 [00:08<00:05, 3.39it/s]
62%|██████▏ | 31/50 [00:09<00:05, 3.39it/s]
64%|██████▍ | 32/50 [00:09<00:05, 3.38it/s]
66%|██████▌ | 33/50 [00:09<00:05, 3.38it/s]
68%|██████▊ | 34/50 [00:10<00:04, 3.38it/s]
70%|███████ | 35/50 [00:10<00:04, 3.38it/s]
72%|███████▏ | 36/50 [00:10<00:04, 3.38it/s]
74%|███████▍ | 37/50 [00:10<00:03, 3.38it/s]
76%|███████▌ | 38/50 [00:11<00:03, 3.38it/s]
78%|███████▊ | 39/50 [00:11<00:03, 3.38it/s]
80%|████████ | 40/50 [00:11<00:02, 3.38it/s]
82%|████████▏ | 41/50 [00:12<00:02, 3.38it/s]
84%|████████▍ | 42/50 [00:12<00:02, 3.38it/s]
86%|████████▌ | 43/50 [00:12<00:02, 3.38it/s]
88%|████████▊ | 44/50 [00:13<00:01, 3.38it/s]
90%|█████████ | 45/50 [00:13<00:01, 3.38it/s]
92%|█████████▏| 46/50 [00:13<00:01, 3.38it/s]
94%|█████████▍| 47/50 [00:13<00:00, 3.38it/s]
96%|█████████▌| 48/50 [00:14<00:00, 3.37it/s]
98%|█████████▊| 49/50 [00:14<00:00, 3.37it/s]
100%|██████████| 50/50 [00:14<00:00, 3.37it/s]
100%|██████████| 50/50 [00:14<00:00, 3.38it/s]