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do-not-follow-me /dkeee:d121fb18
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run do-not-follow-me/dkeee using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"do-not-follow-me/dkeee:d121fb1891ddac20e2081d5fac6f8f943cbce555773beecb66663a0685c72d06",
{
input: {
model: "dev",
prompt: "A closeup headshot of DKEEE being interviewed on 60 Minutes.",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "16:9",
output_format: "jpg",
guidance_scale: 3,
output_quality: 80,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 28
}
}
);
console.log(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=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run do-not-follow-me/dkeee using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"do-not-follow-me/dkeee:d121fb1891ddac20e2081d5fac6f8f943cbce555773beecb66663a0685c72d06",
input={
"model": "dev",
"prompt": "A closeup headshot of DKEEE being interviewed on 60 Minutes.",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
)
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 do-not-follow-me/dkeee 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": "d121fb1891ddac20e2081d5fac6f8f943cbce555773beecb66663a0685c72d06",
"input": {
"model": "dev",
"prompt": "A closeup headshot of DKEEE being interviewed on 60 Minutes.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
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Output
{
"completed_at": "2025-01-27T01:05:04.189510Z",
"created_at": "2025-01-27T01:04:55.462000Z",
"data_removed": false,
"error": null,
"id": "9y343824msrmc0cmmn59vg7xe0",
"input": {
"model": "dev",
"prompt": "A closeup headshot of DKEEE being interviewed on 60 Minutes.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "2025-01-27 01:04:55.760 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-27 01:04:55.761 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2806.86it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2748.92it/s]\n2025-01-27 01:04:55.872 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=28963098664960\nDownloading weights\n2025-01-27T01:04:55Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpy164rno8/weights url=https://replicate.delivery/xezq/DLc21MndtQ45GNtQ74lZVt25EZf5RdTh1zNkD9638x45vjEKA/trained_model.tar\n2025-01-27T01:04:58Z | INFO | [ Complete ] dest=/tmp/tmpy164rno8/weights size=\"172 MB\" total_elapsed=2.158s url=https://replicate.delivery/xezq/DLc21MndtQ45GNtQ74lZVt25EZf5RdTh1zNkD9638x45vjEKA/trained_model.tar\nDownloaded weights in 2.18s\n2025-01-27 01:04:58.056 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/c36ce9fddeef1de6\n2025-01-27 01:04:58.128 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-27 01:04:58.128 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-27 01:04:58.129 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 282/304 [00:00<00:00, 2791.95it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2753.07it/s]\n2025-01-27 01:04:58.239 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 52331\n0it [00:00, ?it/s]\n1it [00:00, 8.47it/s]\n2it [00:00, 5.92it/s]\n3it [00:00, 5.41it/s]\n4it [00:00, 5.20it/s]\n5it [00:00, 5.08it/s]\n6it [00:01, 5.01it/s]\n7it [00:01, 4.97it/s]\n8it [00:01, 4.94it/s]\n9it [00:01, 4.92it/s]\n10it [00:01, 4.91it/s]\n11it [00:02, 4.91it/s]\n12it [00:02, 4.89it/s]\n13it [00:02, 4.89it/s]\n14it [00:02, 4.89it/s]\n15it [00:02, 4.88it/s]\n16it [00:03, 4.88it/s]\n17it [00:03, 4.88it/s]\n18it [00:03, 4.88it/s]\n19it [00:03, 4.87it/s]\n20it [00:04, 4.87it/s]\n21it [00:04, 4.87it/s]\n22it [00:04, 4.88it/s]\n23it [00:04, 4.88it/s]\n24it [00:04, 4.88it/s]\n25it [00:05, 4.88it/s]\n26it [00:05, 4.88it/s]\n27it [00:05, 4.87it/s]\n28it [00:05, 4.88it/s]\n28it [00:05, 4.96it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 8.428285843,
"total_time": 8.72751
},
"output": [
"https://replicate.delivery/xezq/EZbUGvuWt3pNE5h6whqWDjXHOdSWAyRuMIwR3ZRWmtLwNSCF/out-0.jpg"
],
"started_at": "2025-01-27T01:04:55.761224Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bsvm-gjb242nrocz7ujze2wukb52darg3lxxkw3g2iqgwinb3ep3oygka",
"get": "https://api.replicate.com/v1/predictions/9y343824msrmc0cmmn59vg7xe0",
"cancel": "https://api.replicate.com/v1/predictions/9y343824msrmc0cmmn59vg7xe0/cancel"
},
"version": "d121fb1891ddac20e2081d5fac6f8f943cbce555773beecb66663a0685c72d06"
}
2025-01-27 01:04:55.760 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-27 01:04:55.761 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2806.86it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2748.92it/s]
2025-01-27 01:04:55.872 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=28963098664960
Downloading weights
2025-01-27T01:04:55Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpy164rno8/weights url=https://replicate.delivery/xezq/DLc21MndtQ45GNtQ74lZVt25EZf5RdTh1zNkD9638x45vjEKA/trained_model.tar
2025-01-27T01:04:58Z | INFO | [ Complete ] dest=/tmp/tmpy164rno8/weights size="172 MB" total_elapsed=2.158s url=https://replicate.delivery/xezq/DLc21MndtQ45GNtQ74lZVt25EZf5RdTh1zNkD9638x45vjEKA/trained_model.tar
Downloaded weights in 2.18s
2025-01-27 01:04:58.056 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/c36ce9fddeef1de6
2025-01-27 01:04:58.128 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-27 01:04:58.128 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-27 01:04:58.129 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 93%|█████████▎| 282/304 [00:00<00:00, 2791.95it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2753.07it/s]
2025-01-27 01:04:58.239 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 52331
0it [00:00, ?it/s]
1it [00:00, 8.47it/s]
2it [00:00, 5.92it/s]
3it [00:00, 5.41it/s]
4it [00:00, 5.20it/s]
5it [00:00, 5.08it/s]
6it [00:01, 5.01it/s]
7it [00:01, 4.97it/s]
8it [00:01, 4.94it/s]
9it [00:01, 4.92it/s]
10it [00:01, 4.91it/s]
11it [00:02, 4.91it/s]
12it [00:02, 4.89it/s]
13it [00:02, 4.89it/s]
14it [00:02, 4.89it/s]
15it [00:02, 4.88it/s]
16it [00:03, 4.88it/s]
17it [00:03, 4.88it/s]
18it [00:03, 4.88it/s]
19it [00:03, 4.87it/s]
20it [00:04, 4.87it/s]
21it [00:04, 4.87it/s]
22it [00:04, 4.88it/s]
23it [00:04, 4.88it/s]
24it [00:04, 4.88it/s]
25it [00:05, 4.88it/s]
26it [00:05, 4.88it/s]
27it [00:05, 4.87it/s]
28it [00:05, 4.88it/s]
28it [00:05, 4.96it/s]
Total safe images: 1 out of 1