typefile
ID
ruw4whdbwnqkmntk45gfnbt4um
Status
Succeeded
Source
Web
Hardware
A100 (40GB)
Total duration
Created
by logerzhu
Webhook
–
Input
- image_path
- product_size
- 0.5 * widthdefaultOriginaltypeenumvalue typestringoptionsOriginal, 0.6 * width, 0.5 * width, 0.4 * width, 0.3 * width, 0.2 * width
- prompt
- modern sofa+ in a contemporary living room, filled with stylish decor+;modern, contemporary, sofa, living room, stylish decortypetext
- negative_prompt
- illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)defaultlow quality, out of frame, illustration, 3d, sepia, painting, cartoons, sketch, watermark, text, Logo, advertisementtypetext
- pixel
- 512 * 512default512 * 512typeenumvalue typestringoptions512 * 512, 768 * 768, 1024 * 1024
- scale
- 3default3typenumeric-rangevalue typeintegermaximum4
- image_num
- 4default1typenumeric-rangevalue typeintegermaximum4
- guidance_scale
- 7.5default7.5typenumericvalue typenumber
- num_inference_steps
- 20default20typenumericvalue typeinteger
- manual_seed
- -1default-1typenumericvalue typeinteger
{
"guidance_scale": 7.5,
"image_num": 4,
"image_path": "https://replicate.delivery/pbxt/JAIk0rFAOUG00uetuiLOHPz42lBcf7QfX3xWi7TVaxMXXD4n/sofa1.png",
"manual_seed": -1,
"negative_prompt": "illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)",
"num_inference_steps": 20,
"pixel": "512 * 512",
"product_size": "0.5 * width",
"prompt": "modern sofa+ in a contemporary living room, filled with stylish decor+;modern, contemporary, sofa, living room, stylish decor",
"scale": 3
}Install Replicate’s Node.js client library:
npm install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Fls**********************************
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 logerzhu/ad-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"logerzhu/ad-inpaint:b1c17d148455c1fda435ababe9ab1e03bc0d917cc3cf4251916f22c45c83c7df",
{
input: {
guidance_scale: 7.5,
image_num: 4,
image_path: "https://replicate.delivery/pbxt/JAIk0rFAOUG00uetuiLOHPz42lBcf7QfX3xWi7TVaxMXXD4n/sofa1.png",
manual_seed: -1,
negative_prompt: "illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)",
num_inference_steps: 20,
pixel: "512 * 512",
product_size: "0.5 * width",
prompt: "modern sofa+ in a contemporary living room, filled with stylish decor+;modern, contemporary, sofa, living room, stylish decor",
scale: 3
}
}
);
// 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=r8_Fls**********************************
This is your API token. Keep it to yourself.
Import the client:
import replicate
Run logerzhu/ad-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"logerzhu/ad-inpaint:b1c17d148455c1fda435ababe9ab1e03bc0d917cc3cf4251916f22c45c83c7df",
input={
"guidance_scale": 7.5,
"image_num": 4,
"image_path": "https://replicate.delivery/pbxt/JAIk0rFAOUG00uetuiLOHPz42lBcf7QfX3xWi7TVaxMXXD4n/sofa1.png",
"manual_seed": -1,
"negative_prompt": "illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)",
"num_inference_steps": 20,
"pixel": "512 * 512",
"product_size": "0.5 * width",
"prompt": "modern sofa+ in a contemporary living room, filled with stylish decor+;modern, contemporary, sofa, living room, stylish decor",
"scale": 3
}
)
# To access the file URL:
print(output[0].url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output[0].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_Fls**********************************
This is your API token. Keep it to yourself.
Run logerzhu/ad-inpaint 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": "logerzhu/ad-inpaint:b1c17d148455c1fda435ababe9ab1e03bc0d917cc3cf4251916f22c45c83c7df",
"input": {
"guidance_scale": 7.5,
"image_num": 4,
"image_path": "https://replicate.delivery/pbxt/JAIk0rFAOUG00uetuiLOHPz42lBcf7QfX3xWi7TVaxMXXD4n/sofa1.png",
"manual_seed": -1,
"negative_prompt": "illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)",
"num_inference_steps": 20,
"pixel": "512 * 512",
"product_size": "0.5 * width",
"prompt": "modern sofa+ in a contemporary living room, filled with stylish decor+;modern, contemporary, sofa, living room, stylish decor",
"scale": 3
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"id": "ruw4whdbwnqkmntk45gfnbt4um",
"model": "logerzhu/ad-inpaint",
"version": "b1c17d148455c1fda435ababe9ab1e03bc0d917cc3cf4251916f22c45c83c7df",
"input": {
"guidance_scale": 7.5,
"image_num": 4,
"image_path": "https://replicate.delivery/pbxt/JAIk0rFAOUG00uetuiLOHPz42lBcf7QfX3xWi7TVaxMXXD4n/sofa1.png",
"manual_seed": -1,
"negative_prompt": "illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)",
"num_inference_steps": 20,
"pixel": "512 * 512",
"product_size": "0.5 * width",
"prompt": "modern sofa+ in a contemporary living room, filled with stylish decor+;modern, contemporary, sofa, living room, stylish decor",
"scale": 3
},
"logs": "1. Image matting: (2040, 1128)\n2. Generate ad images\nSeed: 10401463081148911623\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:00, 4.66it/s]\n 60%|██████ | 3/5 [00:00<00:00, 5.76it/s]\n100%|██████████| 5/5 [00:00<00:00, 8.13it/s]\n100%|██████████| 5/5 [00:00<00:00, 7.32it/s]\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:04, 4.67it/s]\n 10%|█ | 2/20 [00:00<00:03, 5.66it/s]\n 15%|█▌ | 3/20 [00:00<00:02, 6.07it/s]\n 20%|██ | 4/20 [00:00<00:02, 6.28it/s]\n 25%|██▌ | 5/20 [00:00<00:02, 6.41it/s]\n 30%|███ | 6/20 [00:00<00:02, 6.49it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 6.54it/s]\n 40%|████ | 8/20 [00:01<00:01, 6.57it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 6.60it/s]\n 50%|█████ | 10/20 [00:01<00:01, 6.61it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 6.63it/s]\n 60%|██████ | 12/20 [00:01<00:01, 6.64it/s]\n 65%|██████▌ | 13/20 [00:02<00:01, 6.64it/s]\n 70%|███████ | 14/20 [00:02<00:00, 6.65it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 6.65it/s]\n 80%|████████ | 16/20 [00:02<00:00, 6.65it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 6.65it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 6.65it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 6.65it/s]\n100%|██████████| 20/20 [00:03<00:00, 6.66it/s]\n100%|██████████| 20/20 [00:03<00:00, 6.51it/s]\n4. Super resolution image\n- image 0\n- image 1\n- image 2\n- image 3",
"output": [
"https://replicate.delivery/pbxt/OWLoZ3R76QKUPxv1D9K2p4xrjIhQycwAcoYxebqN3POsv3pIA/top.png",
"https://replicate.delivery/pbxt/yBfegYrL1Yn91UhjDiRB2GghF81RkM7ewbyOrJeZ80yi99OFB/ad_inpaint_0.jpg",
"https://replicate.delivery/pbxt/k1NvfCQBe0qLl0VaEULDWyMVcAosy6eHLb6VMX7obPDwe9OFB/ad_inpaint_1.jpg",
"https://replicate.delivery/pbxt/wOJj1YoeoepFrEzCsbXfc9lcjyvoOF3SzlUMvtqXOJnze9OFB/ad_inpaint_2.jpg",
"https://replicate.delivery/pbxt/3ZmtvTJWj3a0Al9XR7SSKqpAfLTZtrkM7t5KjLvz7Nqsv3pIA/ad_inpaint_3.jpg"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-07-26T16:10:16.04047Z",
"started_at": "2023-07-26T16:11:51.194498Z",
"completed_at": "2023-07-26T16:12:09.608092Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/ruw4whdbwnqkmntk45gfnbt4um/cancel",
"get": "https://api.replicate.com/v1/predictions/ruw4whdbwnqkmntk45gfnbt4um"
},
"metrics": {
"predict_time": 18.413594,
"total_time": 113.567622
}
}Generated in
1. Image matting: (2040, 1128)
2. Generate ad images
Seed: 10401463081148911623
0%| | 0/5 [00:00<?, ?it/s]
20%|██ | 1/5 [00:00<00:00, 4.66it/s]
60%|██████ | 3/5 [00:00<00:00, 5.76it/s]
100%|██████████| 5/5 [00:00<00:00, 8.13it/s]
100%|██████████| 5/5 [00:00<00:00, 7.32it/s]
0%| | 0/20 [00:00<?, ?it/s]
5%|▌ | 1/20 [00:00<00:04, 4.67it/s]
10%|█ | 2/20 [00:00<00:03, 5.66it/s]
15%|█▌ | 3/20 [00:00<00:02, 6.07it/s]
20%|██ | 4/20 [00:00<00:02, 6.28it/s]
25%|██▌ | 5/20 [00:00<00:02, 6.41it/s]
30%|███ | 6/20 [00:00<00:02, 6.49it/s]
35%|███▌ | 7/20 [00:01<00:01, 6.54it/s]
40%|████ | 8/20 [00:01<00:01, 6.57it/s]
45%|████▌ | 9/20 [00:01<00:01, 6.60it/s]
50%|█████ | 10/20 [00:01<00:01, 6.61it/s]
55%|█████▌ | 11/20 [00:01<00:01, 6.63it/s]
60%|██████ | 12/20 [00:01<00:01, 6.64it/s]
65%|██████▌ | 13/20 [00:02<00:01, 6.64it/s]
70%|███████ | 14/20 [00:02<00:00, 6.65it/s]
75%|███████▌ | 15/20 [00:02<00:00, 6.65it/s]
80%|████████ | 16/20 [00:02<00:00, 6.65it/s]
85%|████████▌ | 17/20 [00:02<00:00, 6.65it/s]
90%|█████████ | 18/20 [00:02<00:00, 6.65it/s]
95%|█████████▌| 19/20 [00:02<00:00, 6.65it/s]
100%|██████████| 20/20 [00:03<00:00, 6.66it/s]
100%|██████████| 20/20 [00:03<00:00, 6.51it/s]
4. Super resolution image
- image 0
- image 1
- image 2
- image 3