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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 swk23/grievous using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"swk23/grievous:1669af1e82695d534e463f9ed922571da0507046d056d69ee59081861c18dc23",
{
input: {
model: "dev",
prompt: "\"A close-up headshot of General Grievous in the dimly lit hallway of a Venator-class Star Destroyer, his sinister mechanical face illuminated by the flickering emergency lights. His piercing yellow eyes glow menacingly, exuding a sense of danger and cunning. The red hue of the ship’s alert systems casts an ominous light across his metallic features, highlighting the intricate details of his cybernetic design. Sparks fly from damaged panels behind him, while a light haze of smoke swirls around, adding depth and tension to the scene. The atmosphere is cinematic and photorealistic, capturing the essence of Star Wars.\"",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "21:9",
output_format: "webp",
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/grievous using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"swk23/grievous:1669af1e82695d534e463f9ed922571da0507046d056d69ee59081861c18dc23",
input={
"model": "dev",
"prompt": "\"A close-up headshot of General Grievous in the dimly lit hallway of a Venator-class Star Destroyer, his sinister mechanical face illuminated by the flickering emergency lights. His piercing yellow eyes glow menacingly, exuding a sense of danger and cunning. The red hue of the ship’s alert systems casts an ominous light across his metallic features, highlighting the intricate details of his cybernetic design. Sparks fly from damaged panels behind him, while a light haze of smoke swirls around, adding depth and tension to the scene. The atmosphere is cinematic and photorealistic, capturing the essence of Star Wars.\"",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "21:9",
"output_format": "webp",
"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/grievous 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/grievous:1669af1e82695d534e463f9ed922571da0507046d056d69ee59081861c18dc23",
"input": {
"model": "dev",
"prompt": "\\"A close-up headshot of General Grievous in the dimly lit hallway of a Venator-class Star Destroyer, his sinister mechanical face illuminated by the flickering emergency lights. His piercing yellow eyes glow menacingly, exuding a sense of danger and cunning. The red hue of the ship’s alert systems casts an ominous light across his metallic features, highlighting the intricate details of his cybernetic design. Sparks fly from damaged panels behind him, while a light haze of smoke swirls around, adding depth and tension to the scene. The atmosphere is cinematic and photorealistic, capturing the essence of Star Wars.\\"",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "21:9",
"output_format": "webp",
"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": "2025-01-04T09:12:11.200583Z",
"created_at": "2025-01-04T09:12:03.120000Z",
"data_removed": false,
"error": null,
"id": "f0xana7v61rme0cm62atnqcd90",
"input": {
"model": "dev",
"prompt": "\"A close-up headshot of General Grievous in the dimly lit hallway of a Venator-class Star Destroyer, his sinister mechanical face illuminated by the flickering emergency lights. His piercing yellow eyes glow menacingly, exuding a sense of danger and cunning. The red hue of the ship’s alert systems casts an ominous light across his metallic features, highlighting the intricate details of his cybernetic design. Sparks fly from damaged panels behind him, while a light haze of smoke swirls around, adding depth and tension to the scene. The atmosphere is cinematic and photorealistic, capturing the essence of Star Wars.\"",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "21:9",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "2025-01-04 09:12:03.697 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 09:12:03.698 | 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, 2749.32it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2671.22it/s]\n2025-01-04 09:12:03.812 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 09:12:03.812 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 65%|██████▍ | 197/304 [00:00<00:00, 1949.36it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 1869.82it/s]\n2025-01-04 09:12:03.975 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.28s\nfree=29253508792320\nDownloading weights\n2025-01-04T09:12:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmphvcsvcvq/weights url=https://replicate.delivery/xezq/bPzjYmCcozquIZgamAEbVRRMt0gna8OxAKBVMvECCO4UQEeJA/trained_model.tar\n2025-01-04T09:12:05Z | INFO | [ Complete ] dest=/tmp/tmphvcsvcvq/weights size=\"172 MB\" total_elapsed=1.403s url=https://replicate.delivery/xezq/bPzjYmCcozquIZgamAEbVRRMt0gna8OxAKBVMvECCO4UQEeJA/trained_model.tar\nDownloaded weights in 1.43s\n2025-01-04 09:12:05.404 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ed8f308750fe8013\n2025-01-04 09:12:05.474 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-04 09:12:05.474 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 09:12:05.474 | 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, 2759.43it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2680.20it/s]\n2025-01-04 09:12:05.588 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 54980\n0it [00:00, ?it/s]\n1it [00:00, 9.09it/s]\n2it [00:00, 6.40it/s]\n3it [00:00, 5.85it/s]\n4it [00:00, 5.62it/s]\n5it [00:00, 5.50it/s]\n6it [00:01, 5.40it/s]\n7it [00:01, 5.34it/s]\n8it [00:01, 5.30it/s]\n9it [00:01, 5.25it/s]\n10it [00:01, 5.27it/s]\n11it [00:02, 5.27it/s]\n12it [00:02, 5.28it/s]\n13it [00:02, 5.26it/s]\n14it [00:02, 5.23it/s]\n15it [00:02, 5.23it/s]\n16it [00:02, 5.22it/s]\n17it [00:03, 5.24it/s]\n18it [00:03, 5.24it/s]\n19it [00:03, 5.21it/s]\n20it [00:03, 5.22it/s]\n21it [00:03, 5.23it/s]\n22it [00:04, 5.21it/s]\n23it [00:04, 5.22it/s]\n24it [00:04, 5.24it/s]\n25it [00:04, 5.22it/s]\n26it [00:04, 5.23it/s]\n27it [00:05, 5.22it/s]\n28it [00:05, 5.21it/s]\n28it [00:05, 5.32it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 7.501613047,
"total_time": 8.080583
},
"output": [
"https://replicate.delivery/xezq/rjnZI6cbh1ICAd1Vis0PoeIg7f9WHHOXDHSayEMVesAXrVDoA/out-0.webp"
],
"started_at": "2025-01-04T09:12:03.698970Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-32ors7q57wruytaoi5dnqbujqkbmslljgaffoiq4oxln7vmxybqq",
"get": "https://api.replicate.com/v1/predictions/f0xana7v61rme0cm62atnqcd90",
"cancel": "https://api.replicate.com/v1/predictions/f0xana7v61rme0cm62atnqcd90/cancel"
},
"version": "1669af1e82695d534e463f9ed922571da0507046d056d69ee59081861c18dc23"
}
2025-01-04 09:12:03.697 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-04 09:12:03.698 | 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, 2749.32it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2671.22it/s]
2025-01-04 09:12:03.812 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-04 09:12:03.812 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 65%|██████▍ | 197/304 [00:00<00:00, 1949.36it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 1869.82it/s]
2025-01-04 09:12:03.975 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.28s
free=29253508792320
Downloading weights
2025-01-04T09:12:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmphvcsvcvq/weights url=https://replicate.delivery/xezq/bPzjYmCcozquIZgamAEbVRRMt0gna8OxAKBVMvECCO4UQEeJA/trained_model.tar
2025-01-04T09:12:05Z | INFO | [ Complete ] dest=/tmp/tmphvcsvcvq/weights size="172 MB" total_elapsed=1.403s url=https://replicate.delivery/xezq/bPzjYmCcozquIZgamAEbVRRMt0gna8OxAKBVMvECCO4UQEeJA/trained_model.tar
Downloaded weights in 1.43s
2025-01-04 09:12:05.404 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ed8f308750fe8013
2025-01-04 09:12:05.474 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-04 09:12:05.474 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-04 09:12:05.474 | 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, 2759.43it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2680.20it/s]
2025-01-04 09:12:05.588 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 54980
0it [00:00, ?it/s]
1it [00:00, 9.09it/s]
2it [00:00, 6.40it/s]
3it [00:00, 5.85it/s]
4it [00:00, 5.62it/s]
5it [00:00, 5.50it/s]
6it [00:01, 5.40it/s]
7it [00:01, 5.34it/s]
8it [00:01, 5.30it/s]
9it [00:01, 5.25it/s]
10it [00:01, 5.27it/s]
11it [00:02, 5.27it/s]
12it [00:02, 5.28it/s]
13it [00:02, 5.26it/s]
14it [00:02, 5.23it/s]
15it [00:02, 5.23it/s]
16it [00:02, 5.22it/s]
17it [00:03, 5.24it/s]
18it [00:03, 5.24it/s]
19it [00:03, 5.21it/s]
20it [00:03, 5.22it/s]
21it [00:03, 5.23it/s]
22it [00:04, 5.21it/s]
23it [00:04, 5.22it/s]
24it [00:04, 5.24it/s]
25it [00:04, 5.22it/s]
26it [00:04, 5.23it/s]
27it [00:05, 5.22it/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
2025-01-04 09:12:03.697 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-04 09:12:03.698 | 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, 2749.32it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2671.22it/s]
2025-01-04 09:12:03.812 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-04 09:12:03.812 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 65%|██████▍ | 197/304 [00:00<00:00, 1949.36it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 1869.82it/s]
2025-01-04 09:12:03.975 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.28s
free=29253508792320
Downloading weights
2025-01-04T09:12:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmphvcsvcvq/weights url=https://replicate.delivery/xezq/bPzjYmCcozquIZgamAEbVRRMt0gna8OxAKBVMvECCO4UQEeJA/trained_model.tar
2025-01-04T09:12:05Z | INFO | [ Complete ] dest=/tmp/tmphvcsvcvq/weights size="172 MB" total_elapsed=1.403s url=https://replicate.delivery/xezq/bPzjYmCcozquIZgamAEbVRRMt0gna8OxAKBVMvECCO4UQEeJA/trained_model.tar
Downloaded weights in 1.43s
2025-01-04 09:12:05.404 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ed8f308750fe8013
2025-01-04 09:12:05.474 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-04 09:12:05.474 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-04 09:12:05.474 | 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, 2759.43it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2680.20it/s]
2025-01-04 09:12:05.588 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 54980
0it [00:00, ?it/s]
1it [00:00, 9.09it/s]
2it [00:00, 6.40it/s]
3it [00:00, 5.85it/s]
4it [00:00, 5.62it/s]
5it [00:00, 5.50it/s]
6it [00:01, 5.40it/s]
7it [00:01, 5.34it/s]
8it [00:01, 5.30it/s]
9it [00:01, 5.25it/s]
10it [00:01, 5.27it/s]
11it [00:02, 5.27it/s]
12it [00:02, 5.28it/s]
13it [00:02, 5.26it/s]
14it [00:02, 5.23it/s]
15it [00:02, 5.23it/s]
16it [00:02, 5.22it/s]
17it [00:03, 5.24it/s]
18it [00:03, 5.24it/s]
19it [00:03, 5.21it/s]
20it [00:03, 5.22it/s]
21it [00:03, 5.23it/s]
22it [00:04, 5.21it/s]
23it [00:04, 5.22it/s]
24it [00:04, 5.24it/s]
25it [00:04, 5.22it/s]
26it [00:04, 5.23it/s]
27it [00:05, 5.22it/s]
28it [00:05, 5.21it/s]
28it [00:05, 5.32it/s]
Total safe images: 1 out of 1