defaulta cat wearing glasses at the beach
typetext
ID
axstxh3b43zwhorzjtwxwlomla
Status
Succeeded
Source
Web
Hardware
A40 (Large)
Total duration
Created
Webhook
–
Input
- prompt
- statue sitting on a toilet
- negative_prompt
- over-exposure, under-exposure, saturated, duplicate, out of frame, lowres, cropped, worst quality, low quality, jpeg artifacts, morbid, mutilated, ugly, bad anatomy, bad proportions, deformed, blurrydefaultover-exposure, under-exposure, saturated, duplicate, out of frame, lowres, cropped, worst quality, low quality, jpeg artifacts, morbid, mutilated, ugly, bad anatomy, bad proportions, deformed, blurrytypetext
- image1
- image2
- subject_category1
- statuedefaultdogtypetext
- subject_category2
- toilettypetext
- num_inference_steps
- 50default25typenumeric-rangevalue typeintegerminimum1maximum500
- guidance_scale
- 7.5default7.5typenumeric-rangevalue typenumberminimum1maximum20
{
"guidance_scale": 7.5,
"image1": "https://replicate.delivery/pbxt/KNjws1gm5AZJn4MVNu81oKRCxpEFZm49LdWgNjS7Gzw2Joyy/download%20%281%29.png",
"image2": "https://replicate.delivery/pbxt/KNjwsJ2MD0kh3BShBPVyI3jpgJ2YoB0Qqcxvp7h1wKladCh1/download.png",
"negative_prompt": "over-exposure, under-exposure, saturated, duplicate, out of frame, lowres, cropped, worst quality, low quality, jpeg artifacts, morbid, mutilated, ugly, bad anatomy, bad proportions, deformed, blurry",
"num_inference_steps": 50,
"prompt": "statue sitting on a toilet",
"subject_category1": "statue",
"subject_category2": "toilet"
}Install Replicate’s Node.js client library:
npm install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_HyX**********************************
This is your API token. Keep it to yourself.
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 cjwbw/lambda-eclipse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"cjwbw/lambda-eclipse:0e36b028d4ed70538c3e6ad369ebd2acf872b41e339b0adf1f6f7d095e248a55",
{
input: {
guidance_scale: 7.5,
image1: "https://replicate.delivery/pbxt/KNjws1gm5AZJn4MVNu81oKRCxpEFZm49LdWgNjS7Gzw2Joyy/download%20%281%29.png",
image2: "https://replicate.delivery/pbxt/KNjwsJ2MD0kh3BShBPVyI3jpgJ2YoB0Qqcxvp7h1wKladCh1/download.png",
negative_prompt: "over-exposure, under-exposure, saturated, duplicate, out of frame, lowres, cropped, worst quality, low quality, jpeg artifacts, morbid, mutilated, ugly, bad anatomy, bad proportions, deformed, blurry",
num_inference_steps: 50,
prompt: "statue sitting on a toilet",
subject_category1: "statue",
subject_category2: "toilet"
}
}
);
// 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 replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_HyX**********************************
This is your API token. Keep it to yourself.
Import the client:
import replicate
Run cjwbw/lambda-eclipse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"cjwbw/lambda-eclipse:0e36b028d4ed70538c3e6ad369ebd2acf872b41e339b0adf1f6f7d095e248a55",
input={
"guidance_scale": 7.5,
"image1": "https://replicate.delivery/pbxt/KNjws1gm5AZJn4MVNu81oKRCxpEFZm49LdWgNjS7Gzw2Joyy/download%20%281%29.png",
"image2": "https://replicate.delivery/pbxt/KNjwsJ2MD0kh3BShBPVyI3jpgJ2YoB0Qqcxvp7h1wKladCh1/download.png",
"negative_prompt": "over-exposure, under-exposure, saturated, duplicate, out of frame, lowres, cropped, worst quality, low quality, jpeg artifacts, morbid, mutilated, ugly, bad anatomy, bad proportions, deformed, blurry",
"num_inference_steps": 50,
"prompt": "statue sitting on a toilet",
"subject_category1": "statue",
"subject_category2": "toilet"
}
)
# To access the file URL:
print(output.url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output.read())
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=r8_HyX**********************************
This is your API token. Keep it to yourself.
Run cjwbw/lambda-eclipse 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": "cjwbw/lambda-eclipse:0e36b028d4ed70538c3e6ad369ebd2acf872b41e339b0adf1f6f7d095e248a55",
"input": {
"guidance_scale": 7.5,
"image1": "https://replicate.delivery/pbxt/KNjws1gm5AZJn4MVNu81oKRCxpEFZm49LdWgNjS7Gzw2Joyy/download%20%281%29.png",
"image2": "https://replicate.delivery/pbxt/KNjwsJ2MD0kh3BShBPVyI3jpgJ2YoB0Qqcxvp7h1wKladCh1/download.png",
"negative_prompt": "over-exposure, under-exposure, saturated, duplicate, out of frame, lowres, cropped, worst quality, low quality, jpeg artifacts, morbid, mutilated, ugly, bad anatomy, bad proportions, deformed, blurry",
"num_inference_steps": 50,
"prompt": "statue sitting on a toilet",
"subject_category1": "statue",
"subject_category2": "toilet"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"id": "axstxh3b43zwhorzjtwxwlomla",
"model": "cjwbw/lambda-eclipse",
"version": "0e36b028d4ed70538c3e6ad369ebd2acf872b41e339b0adf1f6f7d095e248a55",
"input": {
"guidance_scale": 7.5,
"image1": "https://replicate.delivery/pbxt/KNjws1gm5AZJn4MVNu81oKRCxpEFZm49LdWgNjS7Gzw2Joyy/download%20%281%29.png",
"image2": "https://replicate.delivery/pbxt/KNjwsJ2MD0kh3BShBPVyI3jpgJ2YoB0Qqcxvp7h1wKladCh1/download.png",
"negative_prompt": "over-exposure, under-exposure, saturated, duplicate, out of frame, lowres, cropped, worst quality, low quality, jpeg artifacts, morbid, mutilated, ugly, bad anatomy, bad proportions, deformed, blurry",
"num_inference_steps": 50,
"prompt": "statue sitting on a toilet",
"subject_category1": "statue",
"subject_category2": "toilet"
},
"logs": "Using seed: 10148\n 0%| | 0/50 [00:00<?, ?it/s]\n 4%|▍ | 2/50 [00:00<00:03, 12.28it/s]\n 8%|▊ | 4/50 [00:00<00:03, 12.44it/s]\n 12%|█▏ | 6/50 [00:00<00:03, 12.49it/s]\n 16%|█▌ | 8/50 [00:00<00:03, 12.51it/s]\n 20%|██ | 10/50 [00:00<00:03, 12.52it/s]\n 24%|██▍ | 12/50 [00:00<00:03, 12.52it/s]\n 28%|██▊ | 14/50 [00:01<00:02, 12.52it/s]\n 32%|███▏ | 16/50 [00:01<00:02, 12.52it/s]\n 36%|███▌ | 18/50 [00:01<00:02, 12.51it/s]\n 40%|████ | 20/50 [00:01<00:02, 12.50it/s]\n 44%|████▍ | 22/50 [00:01<00:02, 12.51it/s]\n 48%|████▊ | 24/50 [00:01<00:02, 12.50it/s]\n 52%|█████▏ | 26/50 [00:02<00:01, 12.51it/s]\n 56%|█████▌ | 28/50 [00:02<00:01, 12.51it/s]\n 60%|██████ | 30/50 [00:02<00:01, 12.50it/s]\n 64%|██████▍ | 32/50 [00:02<00:01, 12.50it/s]\n 68%|██████▊ | 34/50 [00:02<00:01, 12.50it/s]\n 72%|███████▏ | 36/50 [00:02<00:01, 12.52it/s]\n 76%|███████▌ | 38/50 [00:03<00:00, 12.54it/s]\n 80%|████████ | 40/50 [00:03<00:00, 12.54it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 12.54it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 12.55it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 12.53it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 12.53it/s]\n100%|██████████| 50/50 [00:03<00:00, 12.54it/s]\n100%|██████████| 50/50 [00:03<00:00, 12.51it/s]",
"output": "https://replicate.delivery/pbxt/KqSvpHmk87pfX6RZ0uWsBNqvBYT1uVuPVori4EzqxBLyvtKJA/out.png",
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-02-10T23:25:18.928614Z",
"started_at": "2024-02-10T23:25:18.967395Z",
"completed_at": "2024-02-10T23:25:24.347599Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/axstxh3b43zwhorzjtwxwlomla/cancel",
"get": "https://api.replicate.com/v1/predictions/axstxh3b43zwhorzjtwxwlomla"
},
"metrics": {
"predict_time": 5.380204,
"total_time": 5.418985
}
}Generated in
Using seed: 10148
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