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lambdal /text-to-pokemon:ff6cc781
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=lambdal/text-to-pokemon
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 lambdal/text-to-pokemon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lambdal/text-to-pokemon:ff6cc781634191dd3c49097a615d2fc01b0a8aae31c448e55039a04dcbf36bba",
{
input: {
prompt: "Yoda",
num_outputs: 1,
guidance_scale: 7.5,
num_inference_steps: 50
}
}
);
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 lambdal/text-to-pokemon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lambdal/text-to-pokemon:ff6cc781634191dd3c49097a615d2fc01b0a8aae31c448e55039a04dcbf36bba",
input={
"prompt": "Yoda",
"num_outputs": 1,
"guidance_scale": 7.5,
"num_inference_steps": 50
}
)
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 lambdal/text-to-pokemon 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": "ff6cc781634191dd3c49097a615d2fc01b0a8aae31c448e55039a04dcbf36bba",
"input": {
"prompt": "Yoda",
"num_outputs": 1,
"guidance_scale": 7.5,
"num_inference_steps": 50
}
}' \
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.
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terms of service and privacy policy
Output
{
"completed_at": "2022-09-21T09:44:49.500849Z",
"created_at": "2022-09-21T09:44:19.304339Z",
"data_removed": false,
"error": null,
"id": "n2vfz327yvgnpnrcbecukyqvh4",
"input": {
"prompt": "Yoda",
"num_outputs": 1,
"guidance_scale": 7.5,
"num_inference_steps": "50"
},
"logs": "Using seed: 4358\n\n 0%| | 0/51 [00:00<?, ?it/s]\n 2%|▏ | 1/51 [00:00<00:05, 9.21it/s]\n 4%|▍ | 2/51 [00:00<00:10, 4.84it/s]\n 6%|▌ | 3/51 [00:00<00:11, 4.22it/s]\n 8%|▊ | 4/51 [00:00<00:12, 3.89it/s]\n 10%|▉ | 5/51 [00:01<00:12, 3.79it/s]\n 12%|█▏ | 6/51 [00:01<00:12, 3.74it/s]\n 14%|█▎ | 7/51 [00:01<00:11, 3.70it/s]\n 16%|█▌ | 8/51 [00:02<00:11, 3.65it/s]\n 18%|█▊ | 9/51 [00:02<00:11, 3.64it/s]\n 20%|█▉ | 10/51 [00:02<00:11, 3.64it/s]\n 22%|██▏ | 11/51 [00:02<00:11, 3.62it/s]\n 24%|██▎ | 12/51 [00:03<00:10, 3.61it/s]\n 25%|██▌ | 13/51 [00:03<00:10, 3.61it/s]\n 27%|██▋ | 14/51 [00:03<00:10, 3.61it/s]\n 29%|██▉ | 15/51 [00:03<00:10, 3.59it/s]\n 31%|███▏ | 16/51 [00:04<00:09, 3.59it/s]\n 33%|███▎ | 17/51 [00:04<00:09, 3.60it/s]\n 35%|███▌ | 18/51 [00:04<00:09, 3.60it/s]\n 37%|███▋ | 19/51 [00:05<00:08, 3.59it/s]\n 39%|███▉ | 20/51 [00:05<00:08, 3.60it/s]\n 41%|████ | 21/51 [00:05<00:08, 3.60it/s]\n 43%|████▎ | 22/51 [00:05<00:08, 3.60it/s]\n 45%|████▌ | 23/51 [00:06<00:07, 3.61it/s]\n 47%|████▋ | 24/51 [00:06<00:07, 3.60it/s]\n 49%|████▉ | 25/51 [00:06<00:07, 3.60it/s]\n 51%|█████ | 26/51 [00:07<00:06, 3.60it/s]\n 53%|█████▎ | 27/51 [00:07<00:06, 3.60it/s]\n 55%|█████▍ | 28/51 [00:07<00:06, 3.59it/s]\n 57%|█████▋ | 29/51 [00:07<00:06, 3.59it/s]\n 59%|█████▉ | 30/51 [00:08<00:05, 3.60it/s]\n 61%|██████ | 31/51 [00:08<00:05, 3.60it/s]\n 63%|██████▎ | 32/51 [00:08<00:05, 3.60it/s]\n 65%|██████▍ | 33/51 [00:08<00:04, 3.60it/s]\n 67%|██████▋ | 34/51 [00:09<00:04, 3.61it/s]\n 69%|██████▊ | 35/51 [00:09<00:04, 3.60it/s]\n 71%|███████ | 36/51 [00:09<00:04, 3.61it/s]\n 73%|███████▎ | 37/51 [00:10<00:03, 3.60it/s]\n 75%|███████▍ | 38/51 [00:10<00:03, 3.60it/s]\n 76%|███████▋ | 39/51 [00:10<00:03, 3.61it/s]\n 78%|███████▊ | 40/51 [00:10<00:03, 3.61it/s]\n 80%|████████ | 41/51 [00:11<00:02, 3.60it/s]\n 82%|████████▏ | 42/51 [00:11<00:02, 3.60it/s]\n 84%|████████▍ | 43/51 [00:11<00:02, 3.61it/s]\n 86%|████████▋ | 44/51 [00:12<00:01, 3.62it/s]\n 88%|████████▊ | 45/51 [00:12<00:01, 3.61it/s]\n 90%|█████████ | 46/51 [00:12<00:01, 3.60it/s]\n 92%|█████████▏| 47/51 [00:12<00:01, 3.62it/s]\n 94%|█████████▍| 48/51 [00:13<00:00, 3.62it/s]\n 96%|█████████▌| 49/51 [00:13<00:00, 3.61it/s]\n 98%|█████████▊| 50/51 [00:13<00:00, 3.62it/s]\n100%|██████████| 51/51 [00:13<00:00, 3.63it/s]\n100%|██████████| 51/51 [00:13<00:00, 3.65it/s]",
"metrics": {
"predict_time": 15.236785,
"total_time": 30.19651
},
"output": [
"https://replicate.delivery/mgxm/4d12a241-fd84-4b0a-8321-80dd8c6ae784/out-0.png"
],
"started_at": "2022-09-21T09:44:34.264064Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/n2vfz327yvgnpnrcbecukyqvh4",
"cancel": "https://api.replicate.com/v1/predictions/n2vfz327yvgnpnrcbecukyqvh4/cancel"
},
"version": "3554d9e699e09693d3fa334a79c58be9a405dd021d3e11281256d53185868912"
}Generated in
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100%|██████████| 51/51 [00:13<00:00, 3.65it/s]This example was created by a different version, lambdal/text-to-pokemon:3554d9e6.