Prediction

Model

swk23/ahsoka2:56e053a5

zyp4gcxf41rm80cmcwxt8gy930

Status

Succeeded

Source

Web

Hardware

H100

Total duration

7.2s

Created

11 months ago

Webhook

–

Input

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.
aspect_ratio: 21:9
prompt_strength: 0.8
model: dev
num_outputs: 1
num_inference_steps: 28
guidance_scale: 3
output_format: jpg
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": "jpg",
  "output_quality": 80,
  "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.",
  "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_3hz**********************************

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/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: {
      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: "jpg",
      output_quality: 80,
      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.",
      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_3hz**********************************

This is your API token. Keep it to yourself.

Import the client:

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={
        "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": "jpg",
        "output_quality": 80,
        "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.",
        "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_3hz**********************************

This is your API token. Keep it to yourself.

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": {
      "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": "jpg",
      "output_quality": 80,
      "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.",
      "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": "zyp4gcxf41rm80cmcwxt8gy930",
  "model": "swk23/ahsoka2",
  "version": "56e053a5386c69a6e4914392cda9d3e4b2d393db23283705b7943973c581563d",
  "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": "jpg",
    "output_quality": 80,
    "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.",
    "prompt_strength": 0.8
  },
  "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",
  "output": [
    "https://replicate.delivery/xezq/SZkYwnP6jmpNBVUCSp7AXkQraSqKcemzpx3WeAUMeCYOWVKoA/out-0.jpg"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-01-14T23:52:32.288Z",
  "started_at": "2025-01-14T23:52:32.500106Z",
  "completed_at": "2025-01-14T23:52:39.508759Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/zyp4gcxf41rm80cmcwxt8gy930/cancel",
    "get": "https://api.replicate.com/v1/predictions/zyp4gcxf41rm80cmcwxt8gy930",
    "stream": "https://stream.replicate.com/v1/files/bcwr-izm4ar6vx24hth5spwl6rdmhg2vuzelkyp4gn42ih5rkyat6leva",
    "web": "https://replicate.com/p/zyp4gcxf41rm80cmcwxt8gy930"
  },
  "metrics": {
    "predict_time": 7.008653102,
    "total_time": 7.220759
  }
}

Generated in

7.0 seconds

Tweak it Report

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