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jbilcke /flux-satellite:c47bcf25
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 jbilcke/flux-satellite using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jbilcke/flux-satellite:c47bcf2556da63e15da1e382b15d200ca39bd55e9e37a3315de57367ac049532",
{
input: {
model: "dev",
prompt: "satellite view of a small city, american suburb, in the style of TOK",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "1:1",
output_format: "webp",
guidance_scale: 3,
output_quality: 90,
prompt_strength: 0.8,
extra_lora_scale: 1,
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 jbilcke/flux-satellite using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jbilcke/flux-satellite:c47bcf2556da63e15da1e382b15d200ca39bd55e9e37a3315de57367ac049532",
input={
"model": "dev",
"prompt": "satellite view of a small city, american suburb, in the style of TOK",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"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 jbilcke/flux-satellite 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": "jbilcke/flux-satellite:c47bcf2556da63e15da1e382b15d200ca39bd55e9e37a3315de57367ac049532",
"input": {
"model": "dev",
"prompt": "satellite view of a small city, american suburb, in the style of TOK",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 50
}
}' \
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.
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2025-01-26T12:03:10.642394Z",
"created_at": "2025-01-26T12:02:56.464000Z",
"data_removed": false,
"error": null,
"id": "53pxgptqa1rmc0cmm9zbj04r7m",
"input": {
"model": "dev",
"prompt": "satellite view of a small city, american suburb, in the style of TOK",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 50
},
"logs": "2025-01-26 12:02:56.536 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-26 12:02:56.536 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████ | 276/304 [00:00<00:00, 2755.90it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2619.89it/s]\n2025-01-26 12:02:56.653 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=28683639476224\nDownloading weights\n2025-01-26T12:02:56Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpytyyhf92/weights url=https://replicate.delivery/xezq/QK4xz8puPDYrHBVLKkQbXdl4FUuuZ7Z087J1CjMmgpVHTPCF/trained_model.tar\n2025-01-26T12:02:59Z | INFO | [ Complete ] dest=/tmp/tmpytyyhf92/weights size=\"172 MB\" total_elapsed=3.048s url=https://replicate.delivery/xezq/QK4xz8puPDYrHBVLKkQbXdl4FUuuZ7Z087J1CjMmgpVHTPCF/trained_model.tar\nDownloaded weights in 3.07s\n2025-01-26 12:02:59.730 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ddbb496db14417cf\n2025-01-26 12:02:59.801 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-26 12:02:59.801 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-26 12:02:59.801 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████ | 276/304 [00:00<00:00, 2756.62it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2620.69it/s]\n2025-01-26 12:02:59.918 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 59211\n0it [00:00, ?it/s]\n1it [00:00, 8.33it/s]\n2it [00:00, 5.85it/s]\n3it [00:00, 5.34it/s]\n4it [00:00, 5.13it/s]\n5it [00:00, 5.02it/s]\n6it [00:01, 4.95it/s]\n7it [00:01, 4.91it/s]\n8it [00:01, 4.89it/s]\n9it [00:01, 4.87it/s]\n10it [00:01, 4.86it/s]\n11it [00:02, 4.85it/s]\n12it [00:02, 4.83it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.83it/s]\n15it [00:03, 4.83it/s]\n16it [00:03, 4.83it/s]\n17it [00:03, 4.83it/s]\n18it [00:03, 4.83it/s]\n19it [00:03, 4.82it/s]\n20it [00:04, 4.82it/s]\n21it [00:04, 4.82it/s]\n22it [00:04, 4.82it/s]\n23it [00:04, 4.82it/s]\n24it [00:04, 4.82it/s]\n25it [00:05, 4.82it/s]\n26it [00:05, 4.82it/s]\n27it [00:05, 4.82it/s]\n28it [00:05, 4.82it/s]\n29it [00:05, 4.82it/s]\n30it [00:06, 4.82it/s]\n31it [00:06, 4.81it/s]\n32it [00:06, 4.81it/s]\n33it [00:06, 4.81it/s]\n34it [00:06, 4.81it/s]\n35it [00:07, 4.81it/s]\n36it [00:07, 4.81it/s]\n37it [00:07, 4.82it/s]\n38it [00:07, 4.82it/s]\n39it [00:08, 4.81it/s]\n40it [00:08, 4.81it/s]\n41it [00:08, 4.82it/s]\n42it [00:08, 4.82it/s]\n43it [00:08, 4.81it/s]\n44it [00:09, 4.81it/s]\n45it [00:09, 4.81it/s]\n46it [00:09, 4.80it/s]\n47it [00:09, 4.81it/s]\n48it [00:09, 4.81it/s]\n49it [00:10, 4.81it/s]\n50it [00:10, 4.80it/s]\n50it [00:10, 4.86it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 14.105075315,
"total_time": 14.178394
},
"output": [
"https://replicate.delivery/xezq/0GuYgrqVaWrLNhk60pqIGggiPNopRX5RrQ26LxjzvqofseIUA/out-0.webp"
],
"started_at": "2025-01-26T12:02:56.537318Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bsvm-cqrkgvv5kte6q6ac7gjvjsflyejnivicbrvg7r37dixhlppjfd2q",
"get": "https://api.replicate.com/v1/predictions/53pxgptqa1rmc0cmm9zbj04r7m",
"cancel": "https://api.replicate.com/v1/predictions/53pxgptqa1rmc0cmm9zbj04r7m/cancel"
},
"version": "c47bcf2556da63e15da1e382b15d200ca39bd55e9e37a3315de57367ac049532"
}
2025-01-26 12:02:56.536 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-26 12:02:56.536 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 91%|█████████ | 276/304 [00:00<00:00, 2755.90it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2619.89it/s]
2025-01-26 12:02:56.653 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s
free=28683639476224
Downloading weights
2025-01-26T12:02:56Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpytyyhf92/weights url=https://replicate.delivery/xezq/QK4xz8puPDYrHBVLKkQbXdl4FUuuZ7Z087J1CjMmgpVHTPCF/trained_model.tar
2025-01-26T12:02:59Z | INFO | [ Complete ] dest=/tmp/tmpytyyhf92/weights size="172 MB" total_elapsed=3.048s url=https://replicate.delivery/xezq/QK4xz8puPDYrHBVLKkQbXdl4FUuuZ7Z087J1CjMmgpVHTPCF/trained_model.tar
Downloaded weights in 3.07s
2025-01-26 12:02:59.730 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ddbb496db14417cf
2025-01-26 12:02:59.801 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-26 12:02:59.801 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-26 12:02:59.801 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 91%|█████████ | 276/304 [00:00<00:00, 2756.62it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2620.69it/s]
2025-01-26 12:02:59.918 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s
Using seed: 59211
0it [00:00, ?it/s]
1it [00:00, 8.33it/s]
2it [00:00, 5.85it/s]
3it [00:00, 5.34it/s]
4it [00:00, 5.13it/s]
5it [00:00, 5.02it/s]
6it [00:01, 4.95it/s]
7it [00:01, 4.91it/s]
8it [00:01, 4.89it/s]
9it [00:01, 4.87it/s]
10it [00:01, 4.86it/s]
11it [00:02, 4.85it/s]
12it [00:02, 4.83it/s]
13it [00:02, 4.83it/s]
14it [00:02, 4.83it/s]
15it [00:03, 4.83it/s]
16it [00:03, 4.83it/s]
17it [00:03, 4.83it/s]
18it [00:03, 4.83it/s]
19it [00:03, 4.82it/s]
20it [00:04, 4.82it/s]
21it [00:04, 4.82it/s]
22it [00:04, 4.82it/s]
23it [00:04, 4.82it/s]
24it [00:04, 4.82it/s]
25it [00:05, 4.82it/s]
26it [00:05, 4.82it/s]
27it [00:05, 4.82it/s]
28it [00:05, 4.82it/s]
29it [00:05, 4.82it/s]
30it [00:06, 4.82it/s]
31it [00:06, 4.81it/s]
32it [00:06, 4.81it/s]
33it [00:06, 4.81it/s]
34it [00:06, 4.81it/s]
35it [00:07, 4.81it/s]
36it [00:07, 4.81it/s]
37it [00:07, 4.82it/s]
38it [00:07, 4.82it/s]
39it [00:08, 4.81it/s]
40it [00:08, 4.81it/s]
41it [00:08, 4.82it/s]
42it [00:08, 4.82it/s]
43it [00:08, 4.81it/s]
44it [00:09, 4.81it/s]
45it [00:09, 4.81it/s]
46it [00:09, 4.80it/s]
47it [00:09, 4.81it/s]
48it [00:09, 4.81it/s]
49it [00:10, 4.81it/s]
50it [00:10, 4.80it/s]
50it [00:10, 4.86it/s]
Total safe images: 1 out of 1