Readme
This model doesn't have a readme.
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 swk23/ahsoka2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"swk23/ahsoka2:56e053a5386c69a6e4914392cda9d3e4b2d393db23283705b7943973c581563d",
{
input: {
model: "dev",
prompt: "Ahsoka Tano working alongside farmers in a rustic settlement, reinforcing a damaged fence. Her twin lekku sway as she uses simple tools, her movements precise and steady. The farmers, dressed in rugged, practical clothing, assist her with determination, their hands worn from hard labor. In the background, fields stretch under a warm sunset, and simple farming machines rest near the crops. The air is filled with dust and the hum of distant activity, as Ahsoka’s calm and focused expression reflects her commitment to helping rebuild their lives.",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "21:9",
output_format: "jpg",
guidance_scale: 3,
output_quality: 80,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 28
}
}
);
// 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 swk23/ahsoka2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"swk23/ahsoka2:56e053a5386c69a6e4914392cda9d3e4b2d393db23283705b7943973c581563d",
input={
"model": "dev",
"prompt": "Ahsoka Tano working alongside farmers in a rustic settlement, reinforcing a damaged fence. Her twin lekku sway as she uses simple tools, her movements precise and steady. The farmers, dressed in rugged, practical clothing, assist her with determination, their hands worn from hard labor. In the background, fields stretch under a warm sunset, and simple farming machines rest near the crops. The air is filled with dust and the hum of distant activity, as Ahsoka’s calm and focused expression reflects her commitment to helping rebuild their lives.",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "21:9",
"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 swk23/ahsoka2 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": "swk23/ahsoka2:56e053a5386c69a6e4914392cda9d3e4b2d393db23283705b7943973c581563d",
"input": {
"model": "dev",
"prompt": "Ahsoka Tano working alongside farmers in a rustic settlement, reinforcing a damaged fence. Her twin lekku sway as she uses simple tools, her movements precise and steady. The farmers, dressed in rugged, practical clothing, assist her with determination, their hands worn from hard labor. In the background, fields stretch under a warm sunset, and simple farming machines rest near the crops. The air is filled with dust and the hum of distant activity, as Ahsoka’s calm and focused expression reflects her commitment to helping rebuild their lives.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "21:9",
"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.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2025-01-14T23:52:39.508759Z",
"created_at": "2025-01-14T23:52:32.288000Z",
"data_removed": false,
"error": null,
"id": "zyp4gcxf41rm80cmcwxt8gy930",
"input": {
"model": "dev",
"prompt": "Ahsoka Tano working alongside farmers in a rustic settlement, reinforcing a damaged fence. Her twin lekku sway as she uses simple tools, her movements precise and steady. The farmers, dressed in rugged, practical clothing, assist her with determination, their hands worn from hard labor. In the background, fields stretch under a warm sunset, and simple farming machines rest near the crops. The air is filled with dust and the hum of distant activity, as Ahsoka’s calm and focused expression reflects her commitment to helping rebuild their lives.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "21:9",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "2025-01-14 23:52:32.499 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-14 23:52:32.499 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2822.41it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2726.28it/s]\n2025-01-14 23:52:32.611 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29172608561152\nDownloading weights\n2025-01-14T23:52:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpj_qysa6g/weights url=https://replicate.delivery/xezq/S7yoWLIFwUI7C1n4ne2aZ1oXn2QYUtXp9RWqQ4kH25h7Uz9JA/trained_model.tar\n2025-01-14T23:52:33Z | INFO | [ Complete ] dest=/tmp/tmpj_qysa6g/weights size=\"172 MB\" total_elapsed=1.085s url=https://replicate.delivery/xezq/S7yoWLIFwUI7C1n4ne2aZ1oXn2QYUtXp9RWqQ4kH25h7Uz9JA/trained_model.tar\nDownloaded weights in 1.16s\n2025-01-14 23:52:33.774 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/fc1e8437fea32199\n2025-01-14 23:52:33.843 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-14 23:52:33.843 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-14 23:52:33.843 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2828.20it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2731.44it/s]\n2025-01-14 23:52:33.955 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 42997\n0it [00:00, ?it/s]\n1it [00:00, 9.12it/s]\n2it [00:00, 6.37it/s]\n3it [00:00, 5.82it/s]\n4it [00:00, 5.60it/s]\n5it [00:00, 5.48it/s]\n6it [00:01, 5.37it/s]\n7it [00:01, 5.33it/s]\n8it [00:01, 5.32it/s]\n9it [00:01, 5.31it/s]\n10it [00:01, 5.29it/s]\n11it [00:02, 5.26it/s]\n12it [00:02, 5.26it/s]\n13it [00:02, 5.24it/s]\n14it [00:02, 5.22it/s]\n15it [00:02, 5.23it/s]\n16it [00:02, 5.21it/s]\n17it [00:03, 5.24it/s]\n18it [00:03, 5.23it/s]\n19it [00:03, 5.25it/s]\n20it [00:03, 5.23it/s]\n21it [00:03, 5.24it/s]\n22it [00:04, 5.22it/s]\n23it [00:04, 5.22it/s]\n24it [00:04, 5.24it/s]\n25it [00:04, 5.23it/s]\n26it [00:04, 5.23it/s]\n27it [00:05, 5.23it/s]\n28it [00:05, 5.21it/s]\n28it [00:05, 5.32it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 7.008653102,
"total_time": 7.220759
},
"output": [
"https://replicate.delivery/xezq/SZkYwnP6jmpNBVUCSp7AXkQraSqKcemzpx3WeAUMeCYOWVKoA/out-0.jpg"
],
"started_at": "2025-01-14T23:52:32.500106Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-izm4ar6vx24hth5spwl6rdmhg2vuzelkyp4gn42ih5rkyat6leva",
"get": "https://api.replicate.com/v1/predictions/zyp4gcxf41rm80cmcwxt8gy930",
"cancel": "https://api.replicate.com/v1/predictions/zyp4gcxf41rm80cmcwxt8gy930/cancel"
},
"version": "56e053a5386c69a6e4914392cda9d3e4b2d393db23283705b7943973c581563d"
}
2025-01-14 23:52:32.499 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-14 23:52:32.499 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2822.41it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2726.28it/s]
2025-01-14 23:52:32.611 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=29172608561152
Downloading weights
2025-01-14T23:52:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpj_qysa6g/weights url=https://replicate.delivery/xezq/S7yoWLIFwUI7C1n4ne2aZ1oXn2QYUtXp9RWqQ4kH25h7Uz9JA/trained_model.tar
2025-01-14T23:52:33Z | INFO | [ Complete ] dest=/tmp/tmpj_qysa6g/weights size="172 MB" total_elapsed=1.085s url=https://replicate.delivery/xezq/S7yoWLIFwUI7C1n4ne2aZ1oXn2QYUtXp9RWqQ4kH25h7Uz9JA/trained_model.tar
Downloaded weights in 1.16s
2025-01-14 23:52:33.774 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/fc1e8437fea32199
2025-01-14 23:52:33.843 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-14 23:52:33.843 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-14 23:52:33.843 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2828.20it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2731.44it/s]
2025-01-14 23:52:33.955 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 42997
0it [00:00, ?it/s]
1it [00:00, 9.12it/s]
2it [00:00, 6.37it/s]
3it [00:00, 5.82it/s]
4it [00:00, 5.60it/s]
5it [00:00, 5.48it/s]
6it [00:01, 5.37it/s]
7it [00:01, 5.33it/s]
8it [00:01, 5.32it/s]
9it [00:01, 5.31it/s]
10it [00:01, 5.29it/s]
11it [00:02, 5.26it/s]
12it [00:02, 5.26it/s]
13it [00:02, 5.24it/s]
14it [00:02, 5.22it/s]
15it [00:02, 5.23it/s]
16it [00:02, 5.21it/s]
17it [00:03, 5.24it/s]
18it [00:03, 5.23it/s]
19it [00:03, 5.25it/s]
20it [00:03, 5.23it/s]
21it [00:03, 5.24it/s]
22it [00:04, 5.22it/s]
23it [00:04, 5.22it/s]
24it [00:04, 5.24it/s]
25it [00:04, 5.23it/s]
26it [00:04, 5.23it/s]
27it [00:05, 5.23it/s]
28it [00:05, 5.21it/s]
28it [00:05, 5.32it/s]
Total safe images: 1 out of 1
This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
This model is warm. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
Choose a file from your machine
Hint: you can also drag files onto the input
Choose a file from your machine
Hint: you can also drag files onto the input
2025-01-14 23:52:32.499 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-14 23:52:32.499 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2822.41it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2726.28it/s]
2025-01-14 23:52:32.611 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=29172608561152
Downloading weights
2025-01-14T23:52:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpj_qysa6g/weights url=https://replicate.delivery/xezq/S7yoWLIFwUI7C1n4ne2aZ1oXn2QYUtXp9RWqQ4kH25h7Uz9JA/trained_model.tar
2025-01-14T23:52:33Z | INFO | [ Complete ] dest=/tmp/tmpj_qysa6g/weights size="172 MB" total_elapsed=1.085s url=https://replicate.delivery/xezq/S7yoWLIFwUI7C1n4ne2aZ1oXn2QYUtXp9RWqQ4kH25h7Uz9JA/trained_model.tar
Downloaded weights in 1.16s
2025-01-14 23:52:33.774 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/fc1e8437fea32199
2025-01-14 23:52:33.843 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-14 23:52:33.843 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-14 23:52:33.843 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2828.20it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2731.44it/s]
2025-01-14 23:52:33.955 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 42997
0it [00:00, ?it/s]
1it [00:00, 9.12it/s]
2it [00:00, 6.37it/s]
3it [00:00, 5.82it/s]
4it [00:00, 5.60it/s]
5it [00:00, 5.48it/s]
6it [00:01, 5.37it/s]
7it [00:01, 5.33it/s]
8it [00:01, 5.32it/s]
9it [00:01, 5.31it/s]
10it [00:01, 5.29it/s]
11it [00:02, 5.26it/s]
12it [00:02, 5.26it/s]
13it [00:02, 5.24it/s]
14it [00:02, 5.22it/s]
15it [00:02, 5.23it/s]
16it [00:02, 5.21it/s]
17it [00:03, 5.24it/s]
18it [00:03, 5.23it/s]
19it [00:03, 5.25it/s]
20it [00:03, 5.23it/s]
21it [00:03, 5.24it/s]
22it [00:04, 5.22it/s]
23it [00:04, 5.22it/s]
24it [00:04, 5.24it/s]
25it [00:04, 5.23it/s]
26it [00:04, 5.23it/s]
27it [00:05, 5.23it/s]
28it [00:05, 5.21it/s]
28it [00:05, 5.32it/s]
Total safe images: 1 out of 1