Run this model in Node.js with one line of code:
npm install replicateREPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run jyoung105/stable-diffusion-3.5-large using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jyoung105/stable-diffusion-3.5-large:69b4e203be29bb4642a2f48be466ddfe31a83cf2e806ae15e51e39ac5fb16828",
{
input: {
steps: 28,
width: 1024,
height: 1024,
prompt: "A man with hoodie on, illustration",
num_images: 1,
guidance_scale: 4.5
}
}
);
// 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 replicateREPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
import replicateRun jyoung105/stable-diffusion-3.5-large using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jyoung105/stable-diffusion-3.5-large:69b4e203be29bb4642a2f48be466ddfe31a83cf2e806ae15e51e39ac5fb16828",
input={
"steps": 28,
"width": 1024,
"height": 1024,
"prompt": "A man with hoodie on, illustration",
"num_images": 1,
"guidance_scale": 4.5
}
)
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 jyoung105/stable-diffusion-3.5-large 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": "jyoung105/stable-diffusion-3.5-large:69b4e203be29bb4642a2f48be466ddfe31a83cf2e806ae15e51e39ac5fb16828",
"input": {
"steps": 28,
"width": 1024,
"height": 1024,
"prompt": "A man with hoodie on, illustration",
"num_images": 1,
"guidance_scale": 4.5
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method or purchase credits to run this model.
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{
"completed_at": "2024-11-09T15:12:15.995823Z",
"created_at": "2024-11-09T15:05:54.398000Z",
"data_removed": false,
"error": null,
"id": "er195mehvsrj00ck25tvewnz18",
"input": {
"steps": 28,
"width": 1024,
"height": 1024,
"prompt": "A man with hoodie on, illustration",
"num_images": 1,
"guidance_scale": 4.5
},
"logs": "DEVICE: cuda\nDTYPE: torch.bfloat16\nUsing seed: 34122\nFinish setup in 4.696846008300781e-05 secs.\n[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:06<02:49, 6.26s/it]\n 7%|▋ | 2/28 [00:06<01:12, 2.80s/it]\n 11%|█ | 3/28 [00:07<00:43, 1.75s/it]\n 14%|█▍ | 4/28 [00:07<00:30, 1.25s/it]\n 18%|█▊ | 5/28 [00:08<00:22, 1.02it/s]\n 21%|██▏ | 6/28 [00:08<00:18, 1.22it/s]\n 25%|██▌ | 7/28 [00:09<00:15, 1.39it/s]\n 29%|██▊ | 8/28 [00:09<00:12, 1.54it/s]\n 32%|███▏ | 9/28 [00:10<00:11, 1.66it/s]\n 36%|███▌ | 10/28 [00:10<00:10, 1.74it/s]\n 39%|███▉ | 11/28 [00:11<00:09, 1.81it/s]\n 43%|████▎ | 12/28 [00:11<00:08, 1.86it/s]\n 46%|████▋ | 13/28 [00:12<00:07, 1.90it/s]\n 50%|█████ | 14/28 [00:12<00:07, 1.92it/s]\n 54%|█████▎ | 15/28 [00:13<00:06, 1.94it/s]\n 57%|█████▋ | 16/28 [00:13<00:06, 1.96it/s]\n 61%|██████ | 17/28 [00:14<00:05, 1.97it/s]\n 64%|██████▍ | 18/28 [00:14<00:05, 1.98it/s]\n 68%|██████▊ | 19/28 [00:15<00:04, 1.96it/s]\n 71%|███████▏ | 20/28 [00:15<00:04, 1.97it/s]\n 75%|███████▌ | 21/28 [00:16<00:03, 1.98it/s]\n 79%|███████▊ | 22/28 [00:16<00:03, 1.98it/s]\n 82%|████████▏ | 23/28 [00:17<00:02, 1.99it/s]\n 86%|████████▌ | 24/28 [00:17<00:02, 1.98it/s]\n 89%|████████▉ | 25/28 [00:18<00:01, 1.98it/s]\n 93%|█████████▎| 26/28 [00:18<00:01, 1.99it/s]\n 96%|█████████▋| 27/28 [00:19<00:00, 1.99it/s]\n100%|██████████| 28/28 [00:19<00:00, 1.99it/s]\n100%|██████████| 28/28 [00:19<00:00, 1.42it/s]\nFinish generation in 25.05196213722229 secs.",
"metrics": {
"predict_time": 25.43741148,
"total_time": 381.597823
},
"output": [
"https://replicate.delivery/yhqm/tNw7D8OEHr7dJZY6vt7U4J0mkUhLWEycELReb2ukTGwnbp3JA/out_0.png"
],
"started_at": "2024-11-09T15:11:50.558412Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/qoxq-ytqu5rgbwk2pmwyupeqiu7wcam4cev7szxw5q6ttkvkufdcnkd5a",
"get": "https://api.replicate.com/v1/predictions/er195mehvsrj00ck25tvewnz18",
"cancel": "https://api.replicate.com/v1/predictions/er195mehvsrj00ck25tvewnz18/cancel"
},
"version": "69b4e203be29bb4642a2f48be466ddfe31a83cf2e806ae15e51e39ac5fb16828"
}DEVICE: cuda
DTYPE: torch.bfloat16
Using seed: 34122
Finish setup in 4.696846008300781e-05 secs.
[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus
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Finish generation in 25.05196213722229 secs.This model runs on Nvidia A100 (80GB) 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.
This model runs on A100 (80GB) hardware which costs $0.0014 per second. View more.
DEVICE: cuda
DTYPE: torch.bfloat16
Using seed: 34122
Finish setup in 4.696846008300781e-05 secs.
[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus
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Finish generation in 25.05196213722229 secs.