Prediction

Model

swk23/grievous:1669af1e

f0xana7v61rme0cm62atnqcd90

Status

Succeeded

Source

Web

Hardware

H100

Total duration

8.1s

Created

12 months ago

Webhook

–

Input

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."
aspect_ratio: 21:9
prompt_strength: 0.8
model: dev
num_outputs: 1
num_inference_steps: 28
guidance_scale: 3
output_format: webp
output_quality: 80
go_fast: false
megapixels: 1
lora_scale: 1
extra_lora_scale: 1

{
  "aspect_ratio": "21:9",
  "extra_lora_scale": 1,
  "go_fast": false,
  "guidance_scale": 3,
  "lora_scale": 1,
  "megapixels": "1",
  "model": "dev",
  "num_inference_steps": 28,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 80,
  "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.\"",
  "prompt_strength": 0.8
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Zyt**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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: {
      aspect_ratio: "21:9",
      extra_lora_scale: 1,
      go_fast: false,
      guidance_scale: 3,
      lora_scale: 1,
      megapixels: "1",
      model: "dev",
      num_inference_steps: 28,
      num_outputs: 1,
      output_format: "webp",
      output_quality: 80,
      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.\"",
      prompt_strength: 0.8
    }
  }
);

// 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.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Zyt**********************************

This is your API token. Keep it to yourself.

Import the client:

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={
        "aspect_ratio": "21:9",
        "extra_lora_scale": 1,
        "go_fast": False,
        "guidance_scale": 3,
        "lora_scale": 1,
        "megapixels": "1",
        "model": "dev",
        "num_inference_steps": 28,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 80,
        "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.\"",
        "prompt_strength": 0.8
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Zyt**********************************

This is your API token. Keep it to yourself.

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": {
      "aspect_ratio": "21:9",
      "extra_lora_scale": 1,
      "go_fast": false,
      "guidance_scale": 3,
      "lora_scale": 1,
      "megapixels": "1",
      "model": "dev",
      "num_inference_steps": 28,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 80,
      "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.\\"",
      "prompt_strength": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "id": "f0xana7v61rme0cm62atnqcd90",
  "model": "swk23/grievous",
  "version": "1669af1e82695d534e463f9ed922571da0507046d056d69ee59081861c18dc23",
  "input": {
    "aspect_ratio": "21:9",
    "extra_lora_scale": 1,
    "go_fast": false,
    "guidance_scale": 3,
    "lora_scale": 1,
    "megapixels": "1",
    "model": "dev",
    "num_inference_steps": 28,
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 80,
    "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.\"",
    "prompt_strength": 0.8
  },
  "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",
  "output": [
    "https://replicate.delivery/xezq/rjnZI6cbh1ICAd1Vis0PoeIg7f9WHHOXDHSayEMVesAXrVDoA/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-01-04T09:12:03.12Z",
  "started_at": "2025-01-04T09:12:03.69897Z",
  "completed_at": "2025-01-04T09:12:11.200583Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/f0xana7v61rme0cm62atnqcd90/cancel",
    "get": "https://api.replicate.com/v1/predictions/f0xana7v61rme0cm62atnqcd90",
    "stream": "https://stream.replicate.com/v1/files/bcwr-32ors7q57wruytaoi5dnqbujqkbmslljgaffoiq4oxln7vmxybqq",
    "web": "https://replicate.com/p/f0xana7v61rme0cm62atnqcd90"
  },
  "metrics": {
    "predict_time": 7.501613047,
    "total_time": 8.080583
  }
}

Generated in

7.5 seconds

Tweak it Report

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