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alexgenovese /test-endpoint:cacd901f
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=alexgenovese/test-endpoint
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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run alexgenovese/test-endpoint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
{
input: {
seed: 13694,
width: 1024,
height: 1024,
prompt: "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
scheduler: "K_EULER",
base_model: "SG161222/RealVisXL_V1.0",
num_outputs: 1,
guidance_scale: 7.5,
apply_watermark: true,
negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
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 alexgenovese/test-endpoint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
input={
"seed": 13694,
"width": 1024,
"height": 1024,
"prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
"scheduler": "K_EULER",
"base_model": "SG161222/RealVisXL_V1.0",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"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 alexgenovese/test-endpoint 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": "alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
"input": {
"seed": 13694,
"width": 1024,
"height": 1024,
"prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
"scheduler": "K_EULER",
"base_model": "SG161222/RealVisXL_V1.0",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"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.
Sign in with GitHub
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terms of service and privacy policy
Output
{
"completed_at": "2023-09-22T19:46:35.418385Z",
"created_at": "2023-09-22T19:46:22.585282Z",
"data_removed": false,
"error": null,
"id": "koifqqrbtdukhjoc6ydm35iege",
"input": {
"seed": 13694,
"width": 1024,
"height": 1024,
"prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
"scheduler": "K_EULER",
"base_model": "SG161222/RealVisXL_V1.0",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 50
},
"logs": "Using seed: 13694\nLoading sdxl pipeline...\nLoading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]\nLoading pipeline components...: 14%|█▍ | 1/7 [00:00<00:00, 6.50it/s]\nLoading pipeline components...: 43%|████▎ | 3/7 [00:00<00:00, 8.71it/s]\nLoading pipeline components...: 71%|███████▏ | 5/7 [00:00<00:00, 11.18it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:02<00:00, 2.32it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:02<00:00, 3.07it/s]\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:07, 6.75it/s]\n 4%|▍ | 2/50 [00:00<00:06, 6.92it/s]\n 6%|▌ | 3/50 [00:00<00:06, 7.59it/s]\n 8%|▊ | 4/50 [00:00<00:05, 7.68it/s]\n 10%|█ | 5/50 [00:00<00:05, 7.99it/s]\n 12%|█▏ | 6/50 [00:00<00:05, 8.19it/s]\n 14%|█▍ | 7/50 [00:00<00:05, 8.32it/s]\n 16%|█▌ | 8/50 [00:00<00:04, 8.40it/s]\n 18%|█▊ | 9/50 [00:01<00:04, 8.46it/s]\n 20%|██ | 10/50 [00:01<00:04, 8.50it/s]\n 22%|██▏ | 11/50 [00:01<00:04, 8.48it/s]\n 24%|██▍ | 12/50 [00:01<00:04, 8.51it/s]\n 26%|██▌ | 13/50 [00:01<00:04, 8.52it/s]\n 28%|██▊ | 14/50 [00:01<00:04, 8.55it/s]\n 30%|███ | 15/50 [00:01<00:04, 8.56it/s]\n 32%|███▏ | 16/50 [00:01<00:03, 8.58it/s]\n 34%|███▍ | 17/50 [00:02<00:03, 8.58it/s]\n 36%|███▌ | 18/50 [00:02<00:03, 8.59it/s]\n 38%|███▊ | 19/50 [00:02<00:03, 8.59it/s]\n 40%|████ | 20/50 [00:02<00:03, 8.59it/s]\n 42%|████▏ | 21/50 [00:02<00:03, 8.46it/s]\n 44%|████▍ | 22/50 [00:02<00:03, 8.50it/s]\n 46%|████▌ | 23/50 [00:02<00:03, 8.53it/s]\n 48%|████▊ | 24/50 [00:02<00:03, 8.55it/s]\n 50%|█████ | 25/50 [00:02<00:02, 8.56it/s]\n 52%|█████▏ | 26/50 [00:03<00:02, 8.58it/s]\n 54%|█████▍ | 27/50 [00:03<00:02, 8.58it/s]\n 56%|█████▌ | 28/50 [00:03<00:02, 8.59it/s]\n 58%|█████▊ | 29/50 [00:03<00:02, 8.59it/s]\n 60%|██████ | 30/50 [00:03<00:02, 8.60it/s]\n 62%|██████▏ | 31/50 [00:03<00:02, 8.60it/s]\n 64%|██████▍ | 32/50 [00:03<00:02, 8.60it/s]\n 66%|██████▌ | 33/50 [00:03<00:01, 8.60it/s]\n 68%|██████▊ | 34/50 [00:04<00:01, 8.60it/s]\n 70%|███████ | 35/50 [00:04<00:01, 8.60it/s]\n 72%|███████▏ | 36/50 [00:04<00:01, 8.59it/s]\n 74%|███████▍ | 37/50 [00:04<00:01, 8.59it/s]\n 76%|███████▌ | 38/50 [00:04<00:01, 8.59it/s]\n 78%|███████▊ | 39/50 [00:04<00:01, 8.58it/s]\n 80%|████████ | 40/50 [00:04<00:01, 8.58it/s]\n 82%|████████▏ | 41/50 [00:04<00:01, 8.58it/s]\n 84%|████████▍ | 42/50 [00:04<00:00, 8.59it/s]\n 86%|████████▌ | 43/50 [00:05<00:00, 8.55it/s]\n 88%|████████▊ | 44/50 [00:05<00:00, 8.56it/s]\n 90%|█████████ | 45/50 [00:05<00:00, 8.54it/s]\n 92%|█████████▏| 46/50 [00:05<00:00, 8.56it/s]\n 94%|█████████▍| 47/50 [00:05<00:00, 8.57it/s]\n 96%|█████████▌| 48/50 [00:05<00:00, 8.57it/s]\n 98%|█████████▊| 49/50 [00:05<00:00, 8.58it/s]\n100%|██████████| 50/50 [00:05<00:00, 8.58it/s]\n100%|██████████| 50/50 [00:05<00:00, 8.48it/s]",
"metrics": {
"predict_time": 12.882112,
"total_time": 12.833103
},
"output": [
"https://replicate.delivery/pbxt/R6ESdypkbOZMOl35ckXeVuxAHsnUnLRM8zuVHYoEIJcNCdzIA/out-0.png"
],
"started_at": "2023-09-22T19:46:22.536273Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/koifqqrbtdukhjoc6ydm35iege",
"cancel": "https://api.replicate.com/v1/predictions/koifqqrbtdukhjoc6ydm35iege/cancel"
},
"version": "cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764"
}Generated in
Using seed: 13694
Loading sdxl pipeline...
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