Prediction
stability-ai/sdxl:8beff3369e81422112d93b89ca01426147de542cd4684c244b673b105188fe5fID
lkjsdelbqvcu73p2mri6a6uymi
Status
Succeeded
Source
Web
Hardware
A40 (Large)
Total duration
Created
by @gymdreams8
Input
- width
- 2400
- height
- 800
- prompt
- photorealistic painting of group of men hanging out in the living room, vibrant colors, emotional, abstract expressionist background
- refine
- base_image_refiner
- scheduler
- KarrasDPM
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- nsfw, disfigured
- prompt_strength
- 0.8
- num_inference_steps
- 50
{
"width": 2400,
"height": 800,
"prompt": "photorealistic painting of group of men hanging out in the living room, vibrant colors, emotional, abstract expressionist background",
"refine": "base_image_refiner",
"scheduler": "KarrasDPM",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "nsfw, disfigured",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
Install Replicate’s Node.js client library:
npm install replicate
Set 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:8beff3369e81422112d93b89ca01426147de542cd4684c244b673b105188fe5f",
{
input: {
width: 2400,
height: 800,
prompt: "photorealistic painting of group of men hanging out in the living room, vibrant colors, emotional, abstract expressionist background",
refine: "base_image_refiner",
scheduler: "KarrasDPM",
lora_scale: 0.6,
num_outputs: 1,
guidance_scale: 7.5,
apply_watermark: true,
high_noise_frac: 0.8,
negative_prompt: "nsfw, disfigured",
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 replicate
Set 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 replicate
Run 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:8beff3369e81422112d93b89ca01426147de542cd4684c244b673b105188fe5f",
input={
"width": 2400,
"height": 800,
"prompt": "photorealistic painting of group of men hanging out in the living room, vibrant colors, emotional, abstract expressionist background",
"refine": "base_image_refiner",
"scheduler": "KarrasDPM",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"high_noise_frac": 0.8,
"negative_prompt": "nsfw, disfigured",
"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": "stability-ai/sdxl:8beff3369e81422112d93b89ca01426147de542cd4684c244b673b105188fe5f",
"input": {
"width": 2400,
"height": 800,
"prompt": "photorealistic painting of group of men hanging out in the living room, vibrant colors, emotional, abstract expressionist background",
"refine": "base_image_refiner",
"scheduler": "KarrasDPM",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "nsfw, disfigured",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"completed_at": "2023-10-01T06:04:13.547436Z",
"created_at": "2023-10-01T06:03:43.140972Z",
"data_removed": false,
"error": null,
"id": "lkjsdelbqvcu73p2mri6a6uymi",
"input": {
"width": 2400,
"height": 800,
"prompt": "photorealistic painting of group of men hanging out in the living room, vibrant colors, emotional, abstract expressionist background",
"refine": "base_image_refiner",
"scheduler": "KarrasDPM",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "nsfw, disfigured",
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "Using seed: 8316\nPrompt: photorealistic painting of group of men hanging out in the living room, vibrant colors, emotional, abstract expressionist background\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:19, 2.46it/s]\n 4%|▍ | 2/50 [00:00<00:19, 2.45it/s]\n 6%|▌ | 3/50 [00:01<00:19, 2.43it/s]\n 8%|▊ | 4/50 [00:01<00:18, 2.43it/s]\n 10%|█ | 5/50 [00:02<00:18, 2.43it/s]\n 12%|█▏ | 6/50 [00:02<00:18, 2.43it/s]\n 14%|█▍ | 7/50 [00:02<00:17, 2.44it/s]\n 16%|█▌ | 8/50 [00:03<00:17, 2.44it/s]\n 18%|█▊ | 9/50 [00:03<00:16, 2.44it/s]\n 20%|██ | 10/50 [00:04<00:16, 2.44it/s]\n 22%|██▏ | 11/50 [00:04<00:15, 2.44it/s]\n 24%|██▍ | 12/50 [00:04<00:15, 2.44it/s]\n 26%|██▌ | 13/50 [00:05<00:15, 2.44it/s]\n 28%|██▊ | 14/50 [00:05<00:14, 2.44it/s]\n 30%|███ | 15/50 [00:06<00:14, 2.44it/s]\n 32%|███▏ | 16/50 [00:06<00:13, 2.44it/s]\n 34%|███▍ | 17/50 [00:06<00:13, 2.44it/s]\n 36%|███▌ | 18/50 [00:07<00:13, 2.44it/s]\n 38%|███▊ | 19/50 [00:07<00:12, 2.44it/s]\n 40%|████ | 20/50 [00:08<00:12, 2.44it/s]\n 42%|████▏ | 21/50 [00:08<00:11, 2.44it/s]\n 44%|████▍ | 22/50 [00:09<00:11, 2.44it/s]\n 46%|████▌ | 23/50 [00:09<00:11, 2.44it/s]\n 48%|████▊ | 24/50 [00:09<00:10, 2.44it/s]\n 50%|█████ | 25/50 [00:10<00:10, 2.44it/s]\n 52%|█████▏ | 26/50 [00:10<00:09, 2.43it/s]\n 54%|█████▍ | 27/50 [00:11<00:09, 2.44it/s]\n 56%|█████▌ | 28/50 [00:11<00:09, 2.43it/s]\n 58%|█████▊ | 29/50 [00:11<00:08, 2.43it/s]\n 60%|██████ | 30/50 [00:12<00:08, 2.44it/s]\n 62%|██████▏ | 31/50 [00:12<00:07, 2.43it/s]\n 64%|██████▍ | 32/50 [00:13<00:07, 2.43it/s]\n 66%|██████▌ | 33/50 [00:13<00:06, 2.43it/s]\n 68%|██████▊ | 34/50 [00:13<00:06, 2.43it/s]\n 70%|███████ | 35/50 [00:14<00:06, 2.43it/s]\n 72%|███████▏ | 36/50 [00:14<00:05, 2.43it/s]\n 74%|███████▍ | 37/50 [00:15<00:05, 2.43it/s]\n 76%|███████▌ | 38/50 [00:15<00:04, 2.43it/s]\n 78%|███████▊ | 39/50 [00:16<00:04, 2.43it/s]\n 80%|████████ | 40/50 [00:16<00:04, 2.43it/s]\n 82%|████████▏ | 41/50 [00:16<00:03, 2.43it/s]\n 84%|████████▍ | 42/50 [00:17<00:03, 2.43it/s]\n 86%|████████▌ | 43/50 [00:17<00:02, 2.43it/s]\n 88%|████████▊ | 44/50 [00:18<00:02, 2.43it/s]\n 90%|█████████ | 45/50 [00:18<00:02, 2.43it/s]\n 92%|█████████▏| 46/50 [00:18<00:01, 2.43it/s]\n 94%|█████████▍| 47/50 [00:19<00:01, 2.43it/s]\n 96%|█████████▌| 48/50 [00:19<00:00, 2.43it/s]\n98%|█████████▊| 49/50 [00:20<00:00, 2.42it/s]\n98%|█████████▊| 49/50 [00:20<00:00, 2.43it/s]\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:06, 2.13it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.12it/s]\n 20%|██ | 3/15 [00:01<00:05, 2.12it/s]\n 27%|██▋ | 4/15 [00:01<00:05, 2.12it/s]\n 33%|███▎ | 5/15 [00:02<00:04, 2.11it/s]\n 40%|████ | 6/15 [00:02<00:04, 2.11it/s]\n 47%|████▋ | 7/15 [00:03<00:03, 2.11it/s]\n 53%|█████▎ | 8/15 [00:03<00:03, 2.11it/s]\n 60%|██████ | 9/15 [00:04<00:02, 2.11it/s]\n 67%|██████▋ | 10/15 [00:04<00:02, 2.11it/s]\n 73%|███████▎ | 11/15 [00:05<00:01, 2.11it/s]\n 80%|████████ | 12/15 [00:05<00:01, 2.11it/s]\n 87%|████████▋ | 13/15 [00:06<00:00, 2.11it/s]\n 93%|█████████▎| 14/15 [00:06<00:00, 2.11it/s]\n100%|██████████| 15/15 [00:07<00:00, 2.11it/s]\n100%|██████████| 15/15 [00:07<00:00, 2.11it/s]",
"metrics": {
"predict_time": 30.406031,
"total_time": 30.406464
},
"output": [
"https://pbxt.replicate.delivery/UO48E65ecM2PU6dlgON4D2TUb7snEOPbQnEuAp1EhSQu710IA/out-0.png"
],
"started_at": "2023-10-01T06:03:43.141405Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/lkjsdelbqvcu73p2mri6a6uymi",
"cancel": "https://api.replicate.com/v1/predictions/lkjsdelbqvcu73p2mri6a6uymi/cancel"
},
"version": "8beff3369e81422112d93b89ca01426147de542cd4684c244b673b105188fe5f"
}
Generated in
Using seed: 8316
Prompt: photorealistic painting of group of men hanging out in the living room, vibrant colors, emotional, abstract expressionist background
txt2img mode
0%| | 0/50 [00:00<?, ?it/s]
2%|▏ | 1/50 [00:00<00:19, 2.46it/s]
4%|▍ | 2/50 [00:00<00:19, 2.45it/s]
6%|▌ | 3/50 [00:01<00:19, 2.43it/s]
8%|▊ | 4/50 [00:01<00:18, 2.43it/s]
10%|█ | 5/50 [00:02<00:18, 2.43it/s]
12%|█▏ | 6/50 [00:02<00:18, 2.43it/s]
14%|█▍ | 7/50 [00:02<00:17, 2.44it/s]
16%|█▌ | 8/50 [00:03<00:17, 2.44it/s]
18%|█▊ | 9/50 [00:03<00:16, 2.44it/s]
20%|██ | 10/50 [00:04<00:16, 2.44it/s]
22%|██▏ | 11/50 [00:04<00:15, 2.44it/s]
24%|██▍ | 12/50 [00:04<00:15, 2.44it/s]
26%|██▌ | 13/50 [00:05<00:15, 2.44it/s]
28%|██▊ | 14/50 [00:05<00:14, 2.44it/s]
30%|███ | 15/50 [00:06<00:14, 2.44it/s]
32%|███▏ | 16/50 [00:06<00:13, 2.44it/s]
34%|███▍ | 17/50 [00:06<00:13, 2.44it/s]
36%|███▌ | 18/50 [00:07<00:13, 2.44it/s]
38%|███▊ | 19/50 [00:07<00:12, 2.44it/s]
40%|████ | 20/50 [00:08<00:12, 2.44it/s]
42%|████▏ | 21/50 [00:08<00:11, 2.44it/s]
44%|████▍ | 22/50 [00:09<00:11, 2.44it/s]
46%|████▌ | 23/50 [00:09<00:11, 2.44it/s]
48%|████▊ | 24/50 [00:09<00:10, 2.44it/s]
50%|█████ | 25/50 [00:10<00:10, 2.44it/s]
52%|█████▏ | 26/50 [00:10<00:09, 2.43it/s]
54%|█████▍ | 27/50 [00:11<00:09, 2.44it/s]
56%|█████▌ | 28/50 [00:11<00:09, 2.43it/s]
58%|█████▊ | 29/50 [00:11<00:08, 2.43it/s]
60%|██████ | 30/50 [00:12<00:08, 2.44it/s]
62%|██████▏ | 31/50 [00:12<00:07, 2.43it/s]
64%|██████▍ | 32/50 [00:13<00:07, 2.43it/s]
66%|██████▌ | 33/50 [00:13<00:06, 2.43it/s]
68%|██████▊ | 34/50 [00:13<00:06, 2.43it/s]
70%|███████ | 35/50 [00:14<00:06, 2.43it/s]
72%|███████▏ | 36/50 [00:14<00:05, 2.43it/s]
74%|███████▍ | 37/50 [00:15<00:05, 2.43it/s]
76%|███████▌ | 38/50 [00:15<00:04, 2.43it/s]
78%|███████▊ | 39/50 [00:16<00:04, 2.43it/s]
80%|████████ | 40/50 [00:16<00:04, 2.43it/s]
82%|████████▏ | 41/50 [00:16<00:03, 2.43it/s]
84%|████████▍ | 42/50 [00:17<00:03, 2.43it/s]
86%|████████▌ | 43/50 [00:17<00:02, 2.43it/s]
88%|████████▊ | 44/50 [00:18<00:02, 2.43it/s]
90%|█████████ | 45/50 [00:18<00:02, 2.43it/s]
92%|█████████▏| 46/50 [00:18<00:01, 2.43it/s]
94%|█████████▍| 47/50 [00:19<00:01, 2.43it/s]
96%|█████████▌| 48/50 [00:19<00:00, 2.43it/s]
98%|█████████▊| 49/50 [00:20<00:00, 2.42it/s]
98%|█████████▊| 49/50 [00:20<00:00, 2.43it/s]
0%| | 0/15 [00:00<?, ?it/s]
7%|▋ | 1/15 [00:00<00:06, 2.13it/s]
13%|█▎ | 2/15 [00:00<00:06, 2.12it/s]
20%|██ | 3/15 [00:01<00:05, 2.12it/s]
27%|██▋ | 4/15 [00:01<00:05, 2.12it/s]
33%|███▎ | 5/15 [00:02<00:04, 2.11it/s]
40%|████ | 6/15 [00:02<00:04, 2.11it/s]
47%|████▋ | 7/15 [00:03<00:03, 2.11it/s]
53%|█████▎ | 8/15 [00:03<00:03, 2.11it/s]
60%|██████ | 9/15 [00:04<00:02, 2.11it/s]
67%|██████▋ | 10/15 [00:04<00:02, 2.11it/s]
73%|███████▎ | 11/15 [00:05<00:01, 2.11it/s]
80%|████████ | 12/15 [00:05<00:01, 2.11it/s]
87%|████████▋ | 13/15 [00:06<00:00, 2.11it/s]
93%|█████████▎| 14/15 [00:06<00:00, 2.11it/s]
100%|██████████| 15/15 [00:07<00:00, 2.11it/s]
100%|██████████| 15/15 [00:07<00:00, 2.11it/s]