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adirik /sdxl-prompt-to-prompt:e21d7fb3
Input
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 adirik/sdxl-prompt-to-prompt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"adirik/sdxl-prompt-to-prompt:e21d7fb3812f34cc217911b7409d765604e6fca009010fb2f09fc2d8a78b1d20",
{
input: {
seed: 864,
edited_prompt: "a pink dragon riding a bicycle on the beach",
original_prompt: "a pink bear riding a bicycle on the beach",
prompt_edit_type: "Replacement",
self_replace_steps: 0.4,
cross_replace_steps: 0.8
}
}
);
// 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 adirik/sdxl-prompt-to-prompt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"adirik/sdxl-prompt-to-prompt:e21d7fb3812f34cc217911b7409d765604e6fca009010fb2f09fc2d8a78b1d20",
input={
"seed": 864,
"edited_prompt": "a pink dragon riding a bicycle on the beach",
"original_prompt": "a pink bear riding a bicycle on the beach",
"prompt_edit_type": "Replacement",
"self_replace_steps": 0.4,
"cross_replace_steps": 0.8
}
)
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 adirik/sdxl-prompt-to-prompt 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/sdxl-prompt-to-prompt:e21d7fb3812f34cc217911b7409d765604e6fca009010fb2f09fc2d8a78b1d20",
"input": {
"seed": 864,
"edited_prompt": "a pink dragon riding a bicycle on the beach",
"original_prompt": "a pink bear riding a bicycle on the beach",
"prompt_edit_type": "Replacement",
"self_replace_steps": 0.4,
"cross_replace_steps": 0.8
}
}' \
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.
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terms of service and privacy policy
Output
{
"completed_at": "2024-02-09T14:20:24.217065Z",
"created_at": "2024-02-09T14:19:52.409714Z",
"data_removed": false,
"error": null,
"id": "4rwfk4db6yd2pisa5zglhy6dqq",
"input": {
"seed": 864,
"edited_prompt": "a pink dragon riding a bicycle on the beach",
"original_prompt": "a pink bear riding a bicycle on the beach",
"prompt_edit_type": "Replacement",
"self_replace_steps": 0.4,
"cross_replace_steps": 0.8
},
"logs": "Using seed: 864\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:26, 1.88it/s]\n 4%|▍ | 2/50 [00:01<00:26, 1.83it/s]\n 6%|▌ | 3/50 [00:01<00:25, 1.81it/s]\n 8%|▊ | 4/50 [00:02<00:25, 1.80it/s]\n 10%|█ | 5/50 [00:02<00:25, 1.80it/s]\n 12%|█▏ | 6/50 [00:03<00:24, 1.80it/s]\n 14%|█▍ | 7/50 [00:03<00:23, 1.79it/s]\n 16%|█▌ | 8/50 [00:04<00:23, 1.79it/s]\n 18%|█▊ | 9/50 [00:04<00:22, 1.79it/s]\n 20%|██ | 10/50 [00:05<00:22, 1.79it/s]\n 22%|██▏ | 11/50 [00:06<00:21, 1.80it/s]\n 24%|██▍ | 12/50 [00:06<00:21, 1.80it/s]\n 26%|██▌ | 13/50 [00:07<00:20, 1.80it/s]\n 28%|██▊ | 14/50 [00:07<00:20, 1.80it/s]\n 30%|███ | 15/50 [00:08<00:19, 1.80it/s]\n 32%|███▏ | 16/50 [00:08<00:18, 1.80it/s]\n 34%|███▍ | 17/50 [00:09<00:18, 1.80it/s]\n 36%|███▌ | 18/50 [00:10<00:17, 1.80it/s]\n 38%|███▊ | 19/50 [00:10<00:17, 1.80it/s]\n 40%|████ | 20/50 [00:11<00:16, 1.80it/s]\n 42%|████▏ | 21/50 [00:11<00:16, 1.80it/s]\n 44%|████▍ | 22/50 [00:12<00:15, 1.81it/s]\n 46%|████▌ | 23/50 [00:12<00:14, 1.81it/s]\n 48%|████▊ | 24/50 [00:13<00:14, 1.81it/s]\n 50%|█████ | 25/50 [00:13<00:13, 1.81it/s]\n 52%|█████▏ | 26/50 [00:14<00:13, 1.81it/s]\n 54%|█████▍ | 27/50 [00:14<00:12, 1.81it/s]\n 56%|█████▌ | 28/50 [00:15<00:12, 1.82it/s]\n 58%|█████▊ | 29/50 [00:16<00:11, 1.81it/s]\n 60%|██████ | 30/50 [00:16<00:11, 1.81it/s]\n 62%|██████▏ | 31/50 [00:17<00:10, 1.82it/s]\n 64%|██████▍ | 32/50 [00:17<00:09, 1.81it/s]\n 66%|██████▌ | 33/50 [00:18<00:09, 1.81it/s]\n 68%|██████▊ | 34/50 [00:18<00:08, 1.81it/s]\n 70%|███████ | 35/50 [00:19<00:08, 1.81it/s]\n 72%|███████▏ | 36/50 [00:19<00:07, 1.81it/s]\n 74%|███████▍ | 37/50 [00:20<00:07, 1.81it/s]\n 76%|███████▌ | 38/50 [00:21<00:06, 1.81it/s]\n 78%|███████▊ | 39/50 [00:21<00:06, 1.81it/s]\n 80%|████████ | 40/50 [00:22<00:05, 1.81it/s]\n 82%|████████▏ | 41/50 [00:22<00:04, 1.81it/s]\n 84%|████████▍ | 42/50 [00:23<00:04, 1.81it/s]\n 86%|████████▌ | 43/50 [00:23<00:03, 1.81it/s]\n 88%|████████▊ | 44/50 [00:24<00:03, 1.81it/s]\n 90%|█████████ | 45/50 [00:24<00:02, 1.81it/s]\n 92%|█████████▏| 46/50 [00:25<00:02, 1.81it/s]\n 94%|█████████▍| 47/50 [00:26<00:01, 1.81it/s]\n 96%|█████████▌| 48/50 [00:26<00:01, 1.81it/s]\n 98%|█████████▊| 49/50 [00:27<00:00, 1.81it/s]\n100%|██████████| 50/50 [00:27<00:00, 1.81it/s]\n100%|██████████| 50/50 [00:27<00:00, 1.81it/s]\nNumber of output images: 2",
"metrics": {
"predict_time": 31.768337,
"total_time": 31.807351
},
"output": [
"https://replicate.delivery/pbxt/Zh7ffsRnH6qIU010lFxVyQefNl5b1lntHAMPpIAbemK0UznSC/output_0.png",
"https://replicate.delivery/pbxt/SwdFIxfspcxxNKfHO5NiaWv0wvWbJgDfYx1vqi9ZXV5O18pkA/output_1.png"
],
"started_at": "2024-02-09T14:19:52.448728Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/4rwfk4db6yd2pisa5zglhy6dqq",
"cancel": "https://api.replicate.com/v1/predictions/4rwfk4db6yd2pisa5zglhy6dqq/cancel"
},
"version": "e21d7fb3812f34cc217911b7409d765604e6fca009010fb2f09fc2d8a78b1d20"
}
Using seed: 864
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Number of output images: 2