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stability-ai /sdxl:2f779eb9
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=stability-ai/sdxl
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 stability-ai/sdxl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"stability-ai/sdxl:2f779eb9b23b34fe171f8eaa021b8261566f0d2c10cd2674063e7dbcd351509e",
{
input: {
width: 1024,
height: 1024,
prompt: "An astronaut riding a rainbow unicorn, cinematic, dramatic",
refine: "expert_ensemble_refiner",
scheduler: "DDIM",
num_outputs: 1,
guidance_scale: 7.5,
high_noise_frac: 0.8,
negative_prompt: "",
prompt_strength: 0.8,
num_inference_steps: 50
}
}
);
// 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 stability-ai/sdxl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"stability-ai/sdxl:2f779eb9b23b34fe171f8eaa021b8261566f0d2c10cd2674063e7dbcd351509e",
input={
"width": 1024,
"height": 1024,
"prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
"refine": "expert_ensemble_refiner",
"scheduler": "DDIM",
"num_outputs": 1,
"guidance_scale": 7.5,
"high_noise_frac": 0.8,
"negative_prompt": "",
"prompt_strength": 0.8,
"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 stability-ai/sdxl 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": "2f779eb9b23b34fe171f8eaa021b8261566f0d2c10cd2674063e7dbcd351509e",
"input": {
"width": 1024,
"height": 1024,
"prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
"refine": "expert_ensemble_refiner",
"scheduler": "DDIM",
"num_outputs": 1,
"guidance_scale": 7.5,
"high_noise_frac": 0.8,
"negative_prompt": "",
"prompt_strength": 0.8,
"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": "2023-07-26T21:04:37.933562Z",
"created_at": "2023-07-26T21:04:23.762683Z",
"data_removed": false,
"error": null,
"id": "vu42q7dbkm6iicbpal4v6uvbqm",
"input": {
"width": 1024,
"height": 1024,
"prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
"refine": "expert_ensemble_refiner",
"scheduler": "DDIM",
"num_outputs": 1,
"guidance_scale": 7.5,
"high_noise_frac": 0.8,
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "Using seed: 12103\ntxt2img mode\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:34, 1.14it/s]\n 5%|▌ | 2/40 [00:01<00:18, 2.10it/s]\n 8%|▊ | 3/40 [00:01<00:12, 2.86it/s]\n 10%|█ | 4/40 [00:01<00:10, 3.44it/s]\n 12%|█▎ | 5/40 [00:01<00:09, 3.87it/s]\n 15%|█▌ | 6/40 [00:01<00:08, 4.19it/s]\n 18%|█▊ | 7/40 [00:02<00:07, 4.43it/s]\n 20%|██ | 8/40 [00:02<00:06, 4.60it/s]\n 22%|██▎ | 9/40 [00:02<00:06, 4.72it/s]\n 25%|██▌ | 10/40 [00:02<00:06, 4.80it/s]\n 28%|██▊ | 11/40 [00:02<00:05, 4.86it/s]\n 30%|███ | 12/40 [00:03<00:05, 4.90it/s]\n 32%|███▎ | 13/40 [00:03<00:05, 4.93it/s]\n 35%|███▌ | 14/40 [00:03<00:05, 4.95it/s]\n 38%|███▊ | 15/40 [00:03<00:05, 4.97it/s]\n 40%|████ | 16/40 [00:03<00:04, 4.99it/s]\n 42%|████▎ | 17/40 [00:04<00:04, 5.00it/s]\n 45%|████▌ | 18/40 [00:04<00:04, 5.02it/s]\n 48%|████▊ | 19/40 [00:04<00:04, 5.02it/s]\n 50%|█████ | 20/40 [00:04<00:03, 5.03it/s]\n 52%|█████▎ | 21/40 [00:04<00:03, 5.03it/s]\n 55%|█████▌ | 22/40 [00:05<00:03, 5.03it/s]\n 57%|█████▊ | 23/40 [00:05<00:03, 5.03it/s]\n 60%|██████ | 24/40 [00:05<00:03, 5.04it/s]\n 62%|██████▎ | 25/40 [00:05<00:02, 5.05it/s]\n 65%|██████▌ | 26/40 [00:05<00:02, 5.04it/s]\n 68%|██████▊ | 27/40 [00:06<00:02, 5.03it/s]\n 70%|███████ | 28/40 [00:06<00:02, 5.03it/s]\n 72%|███████▎ | 29/40 [00:06<00:02, 5.03it/s]\n 75%|███████▌ | 30/40 [00:06<00:01, 5.04it/s]\n 78%|███████▊ | 31/40 [00:06<00:01, 5.03it/s]\n 80%|████████ | 32/40 [00:07<00:01, 5.02it/s]\n 82%|████████▎ | 33/40 [00:07<00:01, 5.02it/s]\n 85%|████████▌ | 34/40 [00:07<00:01, 5.02it/s]\n 88%|████████▊ | 35/40 [00:07<00:00, 5.03it/s]\n 90%|█████████ | 36/40 [00:07<00:00, 5.03it/s]\n 92%|█████████▎| 37/40 [00:08<00:00, 5.02it/s]\n 95%|█████████▌| 38/40 [00:08<00:00, 5.02it/s]\n 98%|█████████▊| 39/40 [00:08<00:00, 5.02it/s]\n100%|██████████| 40/40 [00:08<00:00, 5.02it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.63it/s]\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 4.24it/s]\n 20%|██ | 2/10 [00:00<00:01, 4.33it/s]\n 30%|███ | 3/10 [00:00<00:01, 4.36it/s]\n 40%|████ | 4/10 [00:00<00:01, 4.37it/s]\n 50%|█████ | 5/10 [00:01<00:01, 4.37it/s]\n 60%|██████ | 6/10 [00:01<00:00, 4.38it/s]\n 70%|███████ | 7/10 [00:01<00:00, 4.38it/s]\n 80%|████████ | 8/10 [00:01<00:00, 4.39it/s]\n 90%|█████████ | 9/10 [00:02<00:00, 4.37it/s]\n100%|██████████| 10/10 [00:02<00:00, 4.37it/s]\n100%|██████████| 10/10 [00:02<00:00, 4.37it/s]",
"metrics": {
"predict_time": 14.149563,
"total_time": 14.170879
},
"output": [
"https://replicate.delivery/pbxt/E6Ftpfi0dF1SOi4b6ltUwsfdxUf7zTQSfdhmJfRcfGTdZ88UE/out-0.png"
],
"started_at": "2023-07-26T21:04:23.783999Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/vu42q7dbkm6iicbpal4v6uvbqm",
"cancel": "https://api.replicate.com/v1/predictions/vu42q7dbkm6iicbpal4v6uvbqm/cancel"
},
"version": "2f779eb9b23b34fe171f8eaa021b8261566f0d2c10cd2674063e7dbcd351509e"
}Generated in
Using seed: 12103
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