Versions
Failed to load versions. Head to the versions page to see all versions for this model.
You're looking at a specific version of this model. Jump to the model overview.
lucataco /realvisxl-v2.0:902ae056
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=lucataco/realvisxl-v2.0
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 lucataco/realvisxl-v2.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/realvisxl-v2.0:902ae0564a83553dda805027998af32830bcae881ab702d50f54d6415cdd8d4f",
{
input: {
seed: 2020353893,
width: 1024,
height: 1024,
prompt: "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
scheduler: "DPMSolverMultistep",
guidance_scale: 7,
negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
num_inference_steps: 40
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", 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 lucataco/realvisxl-v2.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/realvisxl-v2.0:902ae0564a83553dda805027998af32830bcae881ab702d50f54d6415cdd8d4f",
input={
"seed": 2020353893,
"width": 1024,
"height": 1024,
"prompt": "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
"scheduler": "DPMSolverMultistep",
"guidance_scale": 7,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 40
}
)
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 lucataco/realvisxl-v2.0 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": "lucataco/realvisxl-v2.0:902ae0564a83553dda805027998af32830bcae881ab702d50f54d6415cdd8d4f",
"input": {
"seed": 2020353893,
"width": 1024,
"height": 1024,
"prompt": "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
"scheduler": "DPMSolverMultistep",
"guidance_scale": 7,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 40
}
}' \
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
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2023-11-01T15:13:37.910792Z",
"created_at": "2023-11-01T15:13:28.000386Z",
"data_removed": false,
"error": null,
"id": "unrmhgdb2ma5eh2uu2xcqf4ekm",
"input": {
"seed": 2020353893,
"width": 1024,
"height": 1024,
"prompt": "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
"scheduler": "DPMSolverMultistep",
"guidance_scale": 7,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 40
},
"logs": "Using seed: 2020353893\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:07, 5.06it/s]\n 5%|▌ | 2/40 [00:00<00:07, 5.03it/s]\n 8%|▊ | 3/40 [00:00<00:07, 5.02it/s]\n 10%|█ | 4/40 [00:00<00:07, 5.01it/s]\n 12%|█▎ | 5/40 [00:00<00:06, 5.01it/s]\n 15%|█▌ | 6/40 [00:01<00:06, 5.02it/s]\n 18%|█▊ | 7/40 [00:01<00:06, 5.03it/s]\n 20%|██ | 8/40 [00:01<00:06, 5.03it/s]\n 22%|██▎ | 9/40 [00:01<00:06, 5.03it/s]\n 25%|██▌ | 10/40 [00:01<00:05, 5.03it/s]\n 28%|██▊ | 11/40 [00:02<00:05, 5.03it/s]\n 30%|███ | 12/40 [00:02<00:05, 5.03it/s]\n 32%|███▎ | 13/40 [00:02<00:05, 5.03it/s]\n 35%|███▌ | 14/40 [00:02<00:05, 5.03it/s]\n 38%|███▊ | 15/40 [00:02<00:04, 5.03it/s]\n 40%|████ | 16/40 [00:03<00:04, 5.03it/s]\n 42%|████▎ | 17/40 [00:03<00:04, 5.03it/s]\n 45%|████▌ | 18/40 [00:03<00:04, 5.03it/s]\n 48%|████▊ | 19/40 [00:03<00:04, 5.03it/s]\n 50%|█████ | 20/40 [00:03<00:03, 5.02it/s]\n 52%|█████▎ | 21/40 [00:04<00:03, 5.01it/s]\n 55%|█████▌ | 22/40 [00:04<00:03, 5.01it/s]\n 57%|█████▊ | 23/40 [00:04<00:03, 5.01it/s]\n 60%|██████ | 24/40 [00:04<00:03, 5.01it/s]\n 62%|██████▎ | 25/40 [00:04<00:02, 5.01it/s]\n 65%|██████▌ | 26/40 [00:05<00:02, 5.01it/s]\n 68%|██████▊ | 27/40 [00:05<00:02, 5.01it/s]\n 70%|███████ | 28/40 [00:05<00:02, 5.01it/s]\n 72%|███████▎ | 29/40 [00:05<00:02, 5.01it/s]\n 75%|███████▌ | 30/40 [00:05<00:01, 5.01it/s]\n 78%|███████▊ | 31/40 [00:06<00:01, 5.01it/s]\n 80%|████████ | 32/40 [00:06<00:01, 5.00it/s]\n 82%|████████▎ | 33/40 [00:06<00:01, 5.01it/s]\n 85%|████████▌ | 34/40 [00:06<00:01, 5.01it/s]\n 88%|████████▊ | 35/40 [00:06<00:00, 5.01it/s]\n 90%|█████████ | 36/40 [00:07<00:00, 5.01it/s]\n 92%|█████████▎| 37/40 [00:07<00:00, 4.95it/s]\n 95%|█████████▌| 38/40 [00:07<00:00, 4.95it/s]\n 98%|█████████▊| 39/40 [00:07<00:00, 4.96it/s]\n100%|██████████| 40/40 [00:07<00:00, 4.97it/s]\n100%|██████████| 40/40 [00:07<00:00, 5.01it/s]",
"metrics": {
"predict_time": 9.893207,
"total_time": 9.910406
},
"output": "https://replicate.delivery/pbxt/WRBpX6pWYC6uG57BVF3rgxzvg4U0ZROvngw8CyIpbBOIdAdE/output.png",
"started_at": "2023-11-01T15:13:28.017585Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/unrmhgdb2ma5eh2uu2xcqf4ekm",
"cancel": "https://api.replicate.com/v1/predictions/unrmhgdb2ma5eh2uu2xcqf4ekm/cancel"
},
"version": "902ae0564a83553dda805027998af32830bcae881ab702d50f54d6415cdd8d4f"
}Generated in
Using seed: 2020353893
0%| | 0/40 [00:00<?, ?it/s]
2%|▎ | 1/40 [00:00<00:07, 5.06it/s]
5%|▌ | 2/40 [00:00<00:07, 5.03it/s]
8%|▊ | 3/40 [00:00<00:07, 5.02it/s]
10%|█ | 4/40 [00:00<00:07, 5.01it/s]
12%|█▎ | 5/40 [00:00<00:06, 5.01it/s]
15%|█▌ | 6/40 [00:01<00:06, 5.02it/s]
18%|█▊ | 7/40 [00:01<00:06, 5.03it/s]
20%|██ | 8/40 [00:01<00:06, 5.03it/s]
22%|██▎ | 9/40 [00:01<00:06, 5.03it/s]
25%|██▌ | 10/40 [00:01<00:05, 5.03it/s]
28%|██▊ | 11/40 [00:02<00:05, 5.03it/s]
30%|███ | 12/40 [00:02<00:05, 5.03it/s]
32%|███▎ | 13/40 [00:02<00:05, 5.03it/s]
35%|███▌ | 14/40 [00:02<00:05, 5.03it/s]
38%|███▊ | 15/40 [00:02<00:04, 5.03it/s]
40%|████ | 16/40 [00:03<00:04, 5.03it/s]
42%|████▎ | 17/40 [00:03<00:04, 5.03it/s]
45%|████▌ | 18/40 [00:03<00:04, 5.03it/s]
48%|████▊ | 19/40 [00:03<00:04, 5.03it/s]
50%|█████ | 20/40 [00:03<00:03, 5.02it/s]
52%|█████▎ | 21/40 [00:04<00:03, 5.01it/s]
55%|█████▌ | 22/40 [00:04<00:03, 5.01it/s]
57%|█████▊ | 23/40 [00:04<00:03, 5.01it/s]
60%|██████ | 24/40 [00:04<00:03, 5.01it/s]
62%|██████▎ | 25/40 [00:04<00:02, 5.01it/s]
65%|██████▌ | 26/40 [00:05<00:02, 5.01it/s]
68%|██████▊ | 27/40 [00:05<00:02, 5.01it/s]
70%|███████ | 28/40 [00:05<00:02, 5.01it/s]
72%|███████▎ | 29/40 [00:05<00:02, 5.01it/s]
75%|███████▌ | 30/40 [00:05<00:01, 5.01it/s]
78%|███████▊ | 31/40 [00:06<00:01, 5.01it/s]
80%|████████ | 32/40 [00:06<00:01, 5.00it/s]
82%|████████▎ | 33/40 [00:06<00:01, 5.01it/s]
85%|████████▌ | 34/40 [00:06<00:01, 5.01it/s]
88%|████████▊ | 35/40 [00:06<00:00, 5.01it/s]
90%|█████████ | 36/40 [00:07<00:00, 5.01it/s]
92%|█████████▎| 37/40 [00:07<00:00, 4.95it/s]
95%|█████████▌| 38/40 [00:07<00:00, 4.95it/s]
98%|█████████▊| 39/40 [00:07<00:00, 4.96it/s]
100%|██████████| 40/40 [00:07<00:00, 4.97it/s]
100%|██████████| 40/40 [00:07<00:00, 5.01it/s]