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Input
Run this model in Node.js with one line of code:
npx create-replicate --model=cjwbw/mindall-e
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run cjwbw/mindall-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"cjwbw/mindall-e:c94a63715097e12c62d3f110fcabb1b70b5c8f5aa04251e116f58a545a47d812",
{
input: {
seed: 0,
prompt: "A painting of a monkey with sunglasses in the frame",
num_samples: 4
}
}
);
console.log(output);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 cjwbw/mindall-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"cjwbw/mindall-e:c94a63715097e12c62d3f110fcabb1b70b5c8f5aa04251e116f58a545a47d812",
input={
"seed": 0,
"prompt": "A painting of a monkey with sunglasses in the frame",
"num_samples": 4
}
)
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 cjwbw/mindall-e 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": "cjwbw/mindall-e:c94a63715097e12c62d3f110fcabb1b70b5c8f5aa04251e116f58a545a47d812",
"input": {
"seed": 0,
"prompt": "A painting of a monkey with sunglasses in the frame",
"num_samples": 4
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2022-08-09T23:07:40.136019Z",
"created_at": "2022-08-09T23:03:31.872891Z",
"data_removed": false,
"error": null,
"id": "ebosqg5hfrh6xdci7liziui5ye",
"input": {
"seed": 0,
"prompt": "A painting of a monkey with sunglasses in the frame",
"num_samples": 4
},
"logs": "\n 0%| | 0/256 [00:00<?, ?it/s]\n 0%| | 1/256 [00:00<02:10, 1.96it/s]\n 1%| | 3/256 [00:00<01:35, 2.64it/s]\n 2%|▏ | 5/256 [00:00<01:12, 3.48it/s]\n 3%|▎ | 7/256 [00:00<00:55, 4.49it/s]\n 4%|▎ | 9/256 [00:01<00:43, 5.62it/s]\n 4%|▍ | 11/256 [00:01<00:42, 5.77it/s]\n 5%|▌ | 13/256 [00:01<00:34, 6.97it/s]\n 6%|▌ | 15/256 [00:01<00:29, 8.14it/s]\n 7%|▋ | 17/256 [00:01<00:25, 9.21it/s]\n 7%|▋ | 19/256 [00:02<00:23, 10.14it/s]\n 8%|▊ | 21/256 [00:02<00:27, 8.62it/s]\n 9%|▉ | 23/256 [00:02<00:24, 9.60it/s]\n 10%|▉ | 25/256 [00:02<00:22, 10.41it/s]\n 11%|█ | 27/256 [00:02<00:20, 11.04it/s]\n 11%|█▏ | 29/256 [00:03<00:25, 9.05it/s]\n 12%|█▏ | 31/256 [00:03<00:22, 9.90it/s]\n 13%|█▎ | 33/256 [00:03<00:21, 10.59it/s]\n 14%|█▎ | 35/256 [00:03<00:25, 8.78it/s]\n 14%|█▍ | 37/256 [00:03<00:22, 9.64it/s]\n 15%|█▌ | 39/256 [00:04<00:21, 10.32it/s]\n 16%|█▌ | 41/256 [00:04<00:24, 8.61it/s]\n 17%|█▋ | 43/256 [00:04<00:22, 9.46it/s]\n 18%|█▊ | 45/256 [00:04<00:20, 10.11it/s]\n 18%|█▊ | 47/256 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3.64it/s]\n 96%|█████████▋| 247/256 [00:42<00:02, 3.63it/s]\n 97%|█████████▋| 248/256 [00:42<00:02, 3.63it/s]\n 97%|█████████▋| 249/256 [00:43<00:01, 3.63it/s]\n 98%|█████████▊| 250/256 [00:43<00:01, 3.63it/s]\n 98%|█████████▊| 251/256 [00:43<00:01, 3.62it/s]\n 98%|█████████▊| 252/256 [00:43<00:01, 3.61it/s]\n 99%|█████████▉| 253/256 [00:44<00:00, 3.61it/s]\n 99%|█████████▉| 254/256 [00:44<00:00, 3.61it/s]\n100%|█████████▉| 255/256 [00:44<00:00, 3.59it/s]\n100%|██████████| 256/256 [00:45<00:00, 3.59it/s]\n100%|██████████| 256/256 [00:45<00:00, 5.67it/s]\n<class 'numpy.ndarray'>",
"metrics": {
"predict_time": 50.190088,
"total_time": 248.263128
},
"output": [
{
"image": "https://replicate.delivery/mgxm/f97d6e3f-667e-408f-84d1-c096b3639c54/output_0.png"
},
{
"image": "https://replicate.delivery/mgxm/ef5c3a1d-3777-474b-826c-4d987af916e9/output_1.png"
},
{
"image": "https://replicate.delivery/mgxm/6d4f8de9-3fd7-4e7d-992a-2c2f47820bc4/output_2.png"
},
{
"image": "https://replicate.delivery/mgxm/d514f01d-7386-41d3-b330-af415d01025c/output_3.png"
}
],
"started_at": "2022-08-09T23:06:49.945931Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/ebosqg5hfrh6xdci7liziui5ye",
"cancel": "https://api.replicate.com/v1/predictions/ebosqg5hfrh6xdci7liziui5ye/cancel"
},
"version": "c94a63715097e12c62d3f110fcabb1b70b5c8f5aa04251e116f58a545a47d812"
}Generated in
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<class 'numpy.ndarray'>