typefile
{
"edit_guidance_scale": "3.0",
"edit_threshold": "0.75",
"edit_warmup_steps": 8,
"editing_prompts": "glasses",
"image": "https://replicate.delivery/pbxt/Kdrtkd4IdmtW53B6l9tG1upqxL6xFMhXobvcQ27qayMQFAIA/girl_with_a_pearl_earring.jpeg",
"num_inversion_steps": 50,
"reverse_editing_directions": "False",
"skip": 0.3,
"source_guidance_scale": 3.5
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_KCY**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run adirik/leditsplusplus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"adirik/leditsplusplus:18916a9500f503aa4aa92ec0b2dbf3cecfa1995ee2280b2033e80d50973af9f2",
{
input: {
edit_guidance_scale: "3.0",
edit_threshold: "0.75",
edit_warmup_steps: 8,
editing_prompts: "glasses",
image: "https://replicate.delivery/pbxt/Kdrtkd4IdmtW53B6l9tG1upqxL6xFMhXobvcQ27qayMQFAIA/girl_with_a_pearl_earring.jpeg",
num_inversion_steps: 50,
reverse_editing_directions: "False",
skip: 0.3,
source_guidance_scale: 3.5
}
}
);
// 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.
pip install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_KCY**********************************
This is your API token. Keep it to yourself.
import replicate
Run adirik/leditsplusplus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"adirik/leditsplusplus:18916a9500f503aa4aa92ec0b2dbf3cecfa1995ee2280b2033e80d50973af9f2",
input={
"edit_guidance_scale": "3.0",
"edit_threshold": "0.75",
"edit_warmup_steps": 8,
"editing_prompts": "glasses",
"image": "https://replicate.delivery/pbxt/Kdrtkd4IdmtW53B6l9tG1upqxL6xFMhXobvcQ27qayMQFAIA/girl_with_a_pearl_earring.jpeg",
"num_inversion_steps": 50,
"reverse_editing_directions": "False",
"skip": 0.3,
"source_guidance_scale": 3.5
}
)
# 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.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_KCY**********************************
This is your API token. Keep it to yourself.
Run adirik/leditsplusplus 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": "adirik/leditsplusplus:18916a9500f503aa4aa92ec0b2dbf3cecfa1995ee2280b2033e80d50973af9f2",
"input": {
"edit_guidance_scale": "3.0",
"edit_threshold": "0.75",
"edit_warmup_steps": 8,
"editing_prompts": "glasses",
"image": "https://replicate.delivery/pbxt/Kdrtkd4IdmtW53B6l9tG1upqxL6xFMhXobvcQ27qayMQFAIA/girl_with_a_pearl_earring.jpeg",
"num_inversion_steps": 50,
"reverse_editing_directions": "False",
"skip": 0.3,
"source_guidance_scale": 3.5
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "iots6ptb7k45tak4fwusfgatla",
"model": "adirik/leditsplusplus",
"version": "18916a9500f503aa4aa92ec0b2dbf3cecfa1995ee2280b2033e80d50973af9f2",
"input": {
"edit_guidance_scale": "3.0",
"edit_threshold": "0.75",
"edit_warmup_steps": 8,
"editing_prompts": "glasses",
"image": "https://replicate.delivery/pbxt/Kdrtkd4IdmtW53B6l9tG1upqxL6xFMhXobvcQ27qayMQFAIA/girl_with_a_pearl_earring.jpeg",
"num_inversion_steps": 50,
"reverse_editing_directions": "False",
"skip": 0.3,
"source_guidance_scale": 3.5
},
"logs": "Your input images far exceed the default resolution of the underlying diffusion model. The output images may contain severe artifacts! Consider down-sampling the input using the `height` and `width` parameters\n 0%| | 0/50 [00:00<?, ?it/s]\n 4%|▍ | 2/50 [00:00<00:03, 13.15it/s]\n 8%|▊ | 4/50 [00:00<00:03, 12.97it/s]\n 12%|█▏ | 6/50 [00:00<00:03, 12.77it/s]\n 16%|█▌ | 8/50 [00:00<00:03, 12.73it/s]\n 20%|██ | 10/50 [00:00<00:03, 12.76it/s]\n 24%|██▍ | 12/50 [00:00<00:02, 12.75it/s]\n 28%|██▊ | 14/50 [00:01<00:02, 12.78it/s]\n 32%|███▏ | 16/50 [00:01<00:02, 12.85it/s]\n 36%|███▌ | 18/50 [00:01<00:02, 12.82it/s]\n 40%|████ | 20/50 [00:01<00:02, 12.79it/s]\n 44%|████▍ | 22/50 [00:01<00:02, 12.79it/s]\n 48%|████▊ | 24/50 [00:01<00:02, 12.70it/s]\n 52%|█████▏ | 26/50 [00:02<00:01, 12.67it/s]\n 56%|█████▌ | 28/50 [00:02<00:01, 12.70it/s]\n 60%|██████ | 30/50 [00:02<00:01, 12.70it/s]\n 64%|██████▍ | 32/50 [00:02<00:01, 12.63it/s]\n 68%|██████▊ | 34/50 [00:02<00:01, 12.60it/s]\n 72%|███████▏ | 36/50 [00:02<00:01, 12.62it/s]\n 76%|███████▌ | 38/50 [00:02<00:00, 12.60it/s]\n 80%|████████ | 40/50 [00:03<00:00, 12.63it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 12.67it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 12.63it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 12.60it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 12.56it/s]\n100%|██████████| 50/50 [00:03<00:00, 12.36it/s]\n100%|██████████| 50/50 [00:03<00:00, 12.66it/s]\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:06, 7.98it/s]\n 4%|▍ | 2/50 [00:00<00:06, 7.96it/s]\n 6%|▌ | 3/50 [00:00<00:05, 7.95it/s]\n 8%|▊ | 4/50 [00:00<00:05, 7.95it/s]\n 10%|█ | 5/50 [00:00<00:05, 7.95it/s]\n 12%|█▏ | 6/50 [00:00<00:05, 7.93it/s]\n 14%|█▍ | 7/50 [00:00<00:05, 7.94it/s]\n 16%|█▌ | 8/50 [00:01<00:05, 7.94it/s]\n 18%|█▊ | 9/50 [00:01<00:05, 7.93it/s]\n 20%|██ | 10/50 [00:01<00:05, 7.93it/s]\n 22%|██▏ | 11/50 [00:01<00:04, 7.93it/s]\n 24%|██▍ | 12/50 [00:01<00:04, 7.93it/s]\n 26%|██▌ | 13/50 [00:01<00:04, 7.93it/s]\n 28%|██▊ | 14/50 [00:01<00:04, 7.74it/s]\n 30%|███ | 15/50 [00:01<00:04, 7.80it/s]\n 32%|███▏ | 16/50 [00:02<00:04, 7.84it/s]\n 34%|███▍ | 17/50 [00:02<00:04, 7.87it/s]\n 36%|███▌ | 18/50 [00:02<00:04, 7.89it/s]\n 38%|███▊ | 19/50 [00:02<00:03, 7.90it/s]\n 40%|████ | 20/50 [00:02<00:03, 7.91it/s]\n 42%|████▏ | 21/50 [00:02<00:03, 7.92it/s]\n 44%|████▍ | 22/50 [00:02<00:03, 7.92it/s]\n 46%|████▌ | 23/50 [00:02<00:03, 7.92it/s]\n 48%|████▊ | 24/50 [00:03<00:03, 7.93it/s]\n 50%|█████ | 25/50 [00:03<00:03, 7.93it/s]\n 52%|█████▏ | 26/50 [00:03<00:03, 7.93it/s]\n 54%|█████▍ | 27/50 [00:03<00:02, 7.92it/s]\n 56%|█████▌ | 28/50 [00:03<00:02, 7.93it/s]\n 58%|█████▊ | 29/50 [00:03<00:02, 7.91it/s]\n 60%|██████ | 30/50 [00:03<00:02, 7.91it/s]\n 62%|██████▏ | 31/50 [00:03<00:02, 7.91it/s]\n 64%|██████▍ | 32/50 [00:04<00:02, 7.92it/s]\n 66%|██████▌ | 33/50 [00:04<00:02, 7.92it/s]\n 68%|██████▊ | 34/50 [00:04<00:02, 7.92it/s]\n 70%|███████ | 35/50 [00:04<00:01, 7.92it/s]\n 72%|███████▏ | 36/50 [00:04<00:01, 7.92it/s]\n 74%|███████▍ | 37/50 [00:04<00:01, 7.76it/s]\n 76%|███████▌ | 38/50 [00:04<00:01, 7.80it/s]\n 78%|███████▊ | 39/50 [00:04<00:01, 7.84it/s]\n 80%|████████ | 40/50 [00:05<00:01, 7.87it/s]\n 82%|████████▏ | 41/50 [00:05<00:01, 7.87it/s]\n 84%|████████▍ | 42/50 [00:05<00:01, 7.89it/s]\n 86%|████████▌ | 43/50 [00:05<00:00, 7.90it/s]\n 88%|████████▊ | 44/50 [00:05<00:00, 7.92it/s]\n 90%|█████████ | 45/50 [00:05<00:00, 7.92it/s]\n 92%|█████████▏| 46/50 [00:05<00:00, 7.92it/s]\n 94%|█████████▍| 47/50 [00:05<00:00, 7.92it/s]\n 96%|█████████▌| 48/50 [00:06<00:00, 7.92it/s]\n 98%|█████████▊| 49/50 [00:06<00:00, 7.93it/s]\n100%|██████████| 50/50 [00:06<00:00, 7.93it/s]\n100%|██████████| 50/50 [00:06<00:00, 7.90it/s]",
"output": "https://replicate.delivery/pbxt/cyvUwrQY1KLzMJEODz13q4fcg0NpAcqAbeRGrPStsvPTfzIlA/output.png",
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-03-27T09:58:32.33783Z",
"started_at": "2024-03-27T09:58:32.347032Z",
"completed_at": "2024-03-27T09:58:44.144141Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/iots6ptb7k45tak4fwusfgatla/cancel",
"get": "https://api.replicate.com/v1/predictions/iots6ptb7k45tak4fwusfgatla"
},
"metrics": {
"predict_time": 11.797109,
"total_time": 11.806311
}
}
