You're looking at a specific version of this model. Jump to the model overview.
alx-ai /sdxl-noggles-nowrong:9a487e89
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_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 alx-ai/sdxl-noggles-nowrong using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"alx-ai/sdxl-noggles-nowrong:9a487e8991d1d9a2ea46a3e4933cafff201f5512b037cc046ff1cce878b143ef",
{
input: {
width: 1024,
height: 1024,
prompt: "An astronaut wearing [tko noggles glasses:2], riding a rainbow unicorn in space",
refine: "no_refiner",
scheduler: "K_EULER",
lora_scale: 0.8,
num_outputs: 1,
guidance_scale: 7.5,
apply_watermark: true,
high_noise_frac: 0.8,
negative_prompt: "bad wrong deformed lowquality \\//, +-/*, [], (), 0.0, √-1, π, !3.14, kitty litter, bletchley park as winter doldrums, bark bark, morpho",
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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run alx-ai/sdxl-noggles-nowrong using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"alx-ai/sdxl-noggles-nowrong:9a487e8991d1d9a2ea46a3e4933cafff201f5512b037cc046ff1cce878b143ef",
input={
"width": 1024,
"height": 1024,
"prompt": "An astronaut wearing [tko noggles glasses:2], riding a rainbow unicorn in space",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.8,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"high_noise_frac": 0.8,
"negative_prompt": "bad wrong deformed lowquality \\//, +-/*, [], (), 0.0, √-1, π, !3.14, kitty litter, bletchley park as winter doldrums, bark bark, morpho",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
)
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 alx-ai/sdxl-noggles-nowrong 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": "alx-ai/sdxl-noggles-nowrong:9a487e8991d1d9a2ea46a3e4933cafff201f5512b037cc046ff1cce878b143ef",
"input": {
"width": 1024,
"height": 1024,
"prompt": "An astronaut wearing [tko noggles glasses:2], riding a rainbow unicorn in space",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.8,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "bad wrong deformed lowquality \\\\//, +-/*, [], (), 0.0, √-1, π, !3.14, kitty litter, bletchley park as winter doldrums, bark bark, morpho",
"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.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/alx-ai/sdxl-noggles-nowrong@sha256:9a487e8991d1d9a2ea46a3e4933cafff201f5512b037cc046ff1cce878b143ef \
-i 'width=1024' \
-i 'height=1024' \
-i 'prompt="An astronaut wearing [tko noggles glasses:2], riding a rainbow unicorn in space"' \
-i 'refine="no_refiner"' \
-i 'scheduler="K_EULER"' \
-i 'lora_scale=0.8' \
-i 'num_outputs=1' \
-i 'guidance_scale=7.5' \
-i 'apply_watermark=true' \
-i 'high_noise_frac=0.8' \
-i $'negative_prompt="bad wrong deformed lowquality \\\\//, +-/*, [], (), 0.0, √-1, π, !3.14, kitty litter, bletchley park as winter doldrums, bark bark, morpho"' \
-i 'prompt_strength=0.8' \
-i 'num_inference_steps=50'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/alx-ai/sdxl-noggles-nowrong@sha256:9a487e8991d1d9a2ea46a3e4933cafff201f5512b037cc046ff1cce878b143ef
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "width": 1024, "height": 1024, "prompt": "An astronaut wearing [tko noggles glasses:2], riding a rainbow unicorn in space", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.8, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "bad wrong deformed lowquality \\\\//, +-/*, [], (), 0.0, √-1, π, !3.14, kitty litter, bletchley park as winter doldrums, bark bark, morpho", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Each run costs approximately $0.014. Alternatively, try out our featured models for free.
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2023-08-15T15:03:09.668202Z",
"created_at": "2023-08-15T15:02:54.782008Z",
"data_removed": false,
"error": null,
"id": "paikpf3bt5ckjmi2y62ok3duke",
"input": {
"width": 1024,
"height": 1024,
"prompt": "An astronaut wearing [tko noggles glasses:2], riding a rainbow unicorn in space",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.8,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "bad wrong deformed lowquality \\//, +-/*, [], (), 0.0, √-1, π, !3.14, kitty litter, bletchley park as winter doldrums, bark bark, morpho",
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "Using seed: 53522\nPrompt: An astronaut wearing [tko noggles glasses:2], riding a rainbow unicorn in space\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.72it/s]\n 4%|▍ | 2/50 [00:00<00:12, 3.72it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.71it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.70it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.69it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.69it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.69it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.69it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.69it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.69it/s]\n 22%|██▏ | 11/50 [00:02<00:10, 3.68it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.68it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.68it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.68it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.68it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.68it/s]\n 34%|███▍ | 17/50 [00:04<00:08, 3.68it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.68it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.68it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.68it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.68it/s]\n 44%|████▍ | 22/50 [00:05<00:07, 3.68it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.68it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.69it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.69it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.70it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.70it/s]\n 56%|█████▌ | 28/50 [00:07<00:05, 3.70it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.70it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.70it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.70it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.70it/s]\n 66%|██████▌ | 33/50 [00:08<00:04, 3.70it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.70it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.70it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.70it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.70it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.70it/s]\n 78%|███████▊ | 39/50 [00:10<00:02, 3.70it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.70it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.70it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.70it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.70it/s]\n 88%|████████▊ | 44/50 [00:11<00:01, 3.70it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.69it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.69it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.69it/s]\n 96%|█████████▌| 48/50 [00:12<00:00, 3.69it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.69it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.69it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.69it/s]",
"metrics": {
"predict_time": 14.958433,
"total_time": 14.886194
},
"output": [
"https://pbxt.replicate.delivery/wagDm4lUhcq1NtEvygOtebpZq7qbiDRHa3enm561aeXbto0iA/out-0.png"
],
"started_at": "2023-08-15T15:02:54.709769Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/paikpf3bt5ckjmi2y62ok3duke",
"cancel": "https://api.replicate.com/v1/predictions/paikpf3bt5ckjmi2y62ok3duke/cancel"
},
"version": "9a487e8991d1d9a2ea46a3e4933cafff201f5512b037cc046ff1cce878b143ef"
}
Using seed: 53522
Prompt: An astronaut wearing [tko noggles glasses:2], riding a rainbow unicorn in space
txt2img mode
0%| | 0/50 [00:00<?, ?it/s]
2%|▏ | 1/50 [00:00<00:13, 3.72it/s]
4%|▍ | 2/50 [00:00<00:12, 3.72it/s]
6%|▌ | 3/50 [00:00<00:12, 3.71it/s]
8%|▊ | 4/50 [00:01<00:12, 3.70it/s]
10%|█ | 5/50 [00:01<00:12, 3.69it/s]
12%|█▏ | 6/50 [00:01<00:11, 3.69it/s]
14%|█▍ | 7/50 [00:01<00:11, 3.69it/s]
16%|█▌ | 8/50 [00:02<00:11, 3.69it/s]
18%|█▊ | 9/50 [00:02<00:11, 3.69it/s]
20%|██ | 10/50 [00:02<00:10, 3.69it/s]
22%|██▏ | 11/50 [00:02<00:10, 3.68it/s]
24%|██▍ | 12/50 [00:03<00:10, 3.68it/s]
26%|██▌ | 13/50 [00:03<00:10, 3.68it/s]
28%|██▊ | 14/50 [00:03<00:09, 3.68it/s]
30%|███ | 15/50 [00:04<00:09, 3.68it/s]
32%|███▏ | 16/50 [00:04<00:09, 3.68it/s]
34%|███▍ | 17/50 [00:04<00:08, 3.68it/s]
36%|███▌ | 18/50 [00:04<00:08, 3.68it/s]
38%|███▊ | 19/50 [00:05<00:08, 3.68it/s]
40%|████ | 20/50 [00:05<00:08, 3.68it/s]
42%|████▏ | 21/50 [00:05<00:07, 3.68it/s]
44%|████▍ | 22/50 [00:05<00:07, 3.68it/s]
46%|████▌ | 23/50 [00:06<00:07, 3.68it/s]
48%|████▊ | 24/50 [00:06<00:07, 3.69it/s]
50%|█████ | 25/50 [00:06<00:06, 3.69it/s]
52%|█████▏ | 26/50 [00:07<00:06, 3.70it/s]
54%|█████▍ | 27/50 [00:07<00:06, 3.70it/s]
56%|█████▌ | 28/50 [00:07<00:05, 3.70it/s]
58%|█████▊ | 29/50 [00:07<00:05, 3.70it/s]
60%|██████ | 30/50 [00:08<00:05, 3.70it/s]
62%|██████▏ | 31/50 [00:08<00:05, 3.70it/s]
64%|██████▍ | 32/50 [00:08<00:04, 3.70it/s]
66%|██████▌ | 33/50 [00:08<00:04, 3.70it/s]
68%|██████▊ | 34/50 [00:09<00:04, 3.70it/s]
70%|███████ | 35/50 [00:09<00:04, 3.70it/s]
72%|███████▏ | 36/50 [00:09<00:03, 3.70it/s]
74%|███████▍ | 37/50 [00:10<00:03, 3.70it/s]
76%|███████▌ | 38/50 [00:10<00:03, 3.70it/s]
78%|███████▊ | 39/50 [00:10<00:02, 3.70it/s]
80%|████████ | 40/50 [00:10<00:02, 3.70it/s]
82%|████████▏ | 41/50 [00:11<00:02, 3.70it/s]
84%|████████▍ | 42/50 [00:11<00:02, 3.70it/s]
86%|████████▌ | 43/50 [00:11<00:01, 3.70it/s]
88%|████████▊ | 44/50 [00:11<00:01, 3.70it/s]
90%|█████████ | 45/50 [00:12<00:01, 3.69it/s]
92%|█████████▏| 46/50 [00:12<00:01, 3.69it/s]
94%|█████████▍| 47/50 [00:12<00:00, 3.69it/s]
96%|█████████▌| 48/50 [00:12<00:00, 3.69it/s]
98%|█████████▊| 49/50 [00:13<00:00, 3.69it/s]
100%|██████████| 50/50 [00:13<00:00, 3.69it/s]
100%|██████████| 50/50 [00:13<00:00, 3.69it/s]