Prediction

hr1f4jqwtdrma0cm1378n1cw6g

Status

Succeeded

Source

Web

Hardware

H100

Total duration

6.1s

Created

6 months ago

Input

model: dev
prompt: Full-body shot of a determined thin female hunter in her late 20s, standing knee-deep in a murky Louisiana swamp under a bruised green gray sky. She’s dressed in ragged, mud-caked clothes stained with dried blood, her dark hair tied back haphazardly, and her eyes burning with vengeful intensity. In one hand, she grips a modified crossbow loaded with venom-laced bolts, its wooden frame etched with cryptic symbols. In her other hand, she holds an old LeMat revolver, smoke still curling from its barrel. Spanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, obscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting spotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere of desperation and supernatural dread. HUNT style.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised green gray sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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 isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
  {
    input: {
      model: "dev",
      prompt: "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised green gray sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      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

Import the client:

import replicate

Run isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    input={
        "model": "dev",
        "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised green gray sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "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.

Run isaidj/hunt-showdown 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": "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    "input": {
      "model": "dev",
      "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \\nstanding knee-deep in a murky Louisiana swamp under a bruised green gray sky. \\nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \\nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \\nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \\nits wooden frame etched with cryptic symbols. In her other hand, \\nshe holds an old LeMat revolver, smoke still curling from its barrel. \\nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \\nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \\nspotlights her fierce expression, capturing the gritty \'Hunt: Showdown\' atmosphere \\nof desperation and supernatural dread. HUNT style.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "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.

Output

{
  "completed_at": "2024-12-27T15:49:36.507806Z",
  "created_at": "2024-12-27T15:49:30.451000Z",
  "data_removed": false,
  "error": null,
  "id": "hr1f4jqwtdrma0cm1378n1cw6g",
  "input": {
    "model": "dev",
    "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised green gray sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Lora https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar already loaded\nUsing seed: 19298\n0it [00:00, ?it/s]\n1it [00:00,  8.40it/s]\n2it [00:00,  5.87it/s]\n3it [00:00,  5.34it/s]\n4it [00:00,  5.13it/s]\n5it [00:00,  4.99it/s]\n6it [00:01,  4.90it/s]\n7it [00:01,  4.87it/s]\n8it [00:01,  4.85it/s]\n9it [00:01,  4.85it/s]\n10it [00:01,  4.83it/s]\n11it [00:02,  4.81it/s]\n12it [00:02,  4.81it/s]\n13it [00:02,  4.81it/s]\n14it [00:02,  4.81it/s]\n15it [00:03,  4.80it/s]\n16it [00:03,  4.80it/s]\n17it [00:03,  4.80it/s]\n18it [00:03,  4.80it/s]\n19it [00:03,  4.81it/s]\n20it [00:04,  4.80it/s]\n21it [00:04,  4.79it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.79it/s]\n24it [00:04,  4.79it/s]\n25it [00:05,  4.79it/s]\n26it [00:05,  4.80it/s]\n27it [00:05,  4.81it/s]\n28it [00:05,  4.81it/s]\n28it [00:05,  4.88it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 6.04975036,
    "total_time": 6.056806
  },
  "output": [
    "https://replicate.delivery/xezq/POzJHb4rhxI6D5TQjOCFpO3cAUNKS1pBs8F7fQDIBKKI9jfTA/out-0.webp"
  ],
  "started_at": "2024-12-27T15:49:30.458056Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-j53gz4ynwzvw52exoesksshxrzl6dbpihevlasvfi2jwamhtckwa",
    "get": "https://api.replicate.com/v1/predictions/hr1f4jqwtdrma0cm1378n1cw6g",
    "cancel": "https://api.replicate.com/v1/predictions/hr1f4jqwtdrma0cm1378n1cw6g/cancel"
  },
  "version": "30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa"
}

Generated in

6.0 seconds

isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa

Prediction

Model

nbgenk1vc5rm80cm136vjnzaxw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

9.2s

Created

6 months ago

Input

model: dev
prompt: Full-body shot of a determined thin female hunter in her late 20s, standing knee-deep in a murky Louisiana swamp under a bruised violet sky. She’s dressed in ragged, mud-caked clothes stained with dried blood, her dark hair tied back haphazardly, and her eyes burning with vengeful intensity. In one hand, she grips a modified crossbow loaded with venom-laced bolts, its wooden frame etched with cryptic symbols. In her other hand, she holds an old LeMat revolver, smoke still curling from its barrel. Spanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, obscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting spotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere of desperation and supernatural dread. HUNT style.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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 isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
  {
    input: {
      model: "dev",
      prompt: "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      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

Import the client:

import replicate

Run isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    input={
        "model": "dev",
        "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "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.

Run isaidj/hunt-showdown 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": "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    "input": {
      "model": "dev",
      "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \\nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \\nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \\nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \\nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \\nits wooden frame etched with cryptic symbols. In her other hand, \\nshe holds an old LeMat revolver, smoke still curling from its barrel. \\nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \\nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \\nspotlights her fierce expression, capturing the gritty \'Hunt: Showdown\' atmosphere \\nof desperation and supernatural dread. HUNT style.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "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.

Output

{
  "completed_at": "2024-12-27T15:47:44.611802Z",
  "created_at": "2024-12-27T15:47:35.393000Z",
  "data_removed": false,
  "error": null,
  "id": "nbgenk1vc5rm80cm136vjnzaxw",
  "input": {
    "model": "dev",
    "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2024-12-27 15:47:35.849 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 15:47:35.850 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  92%|█████████▏| 281/304 [00:00<00:00, 2805.48it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2698.71it/s]\n2024-12-27 15:47:35.963 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29325147623424\nDownloading weights\n2024-12-27T15:47:35Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmph_p3s0t2/weights url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar\n2024-12-27T15:47:38Z | INFO  | [ Complete ] dest=/tmp/tmph_p3s0t2/weights size=\"172 MB\" total_elapsed=2.203s url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar\nDownloaded weights in 2.23s\n2024-12-27 15:47:38.190 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227\n2024-12-27 15:47:38.259 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-27 15:47:38.259 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 15:47:38.260 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  93%|█████████▎| 282/304 [00:00<00:00, 2803.87it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2704.68it/s]\n2024-12-27 15:47:38.372 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 35981\n0it [00:00, ?it/s]\n1it [00:00,  8.19it/s]\n2it [00:00,  5.75it/s]\n3it [00:00,  5.26it/s]\n4it [00:00,  5.05it/s]\n5it [00:00,  4.93it/s]\n6it [00:01,  4.86it/s]\n7it [00:01,  4.82it/s]\n8it [00:01,  4.79it/s]\n9it [00:01,  4.78it/s]\n10it [00:02,  4.78it/s]\n11it [00:02,  4.76it/s]\n12it [00:02,  4.76it/s]\n13it [00:02,  4.76it/s]\n14it [00:02,  4.76it/s]\n15it [00:03,  4.77it/s]\n16it [00:03,  4.77it/s]\n17it [00:03,  4.78it/s]\n18it [00:03,  4.77it/s]\n19it [00:03,  4.77it/s]\n20it [00:04,  4.77it/s]\n21it [00:04,  4.76it/s]\n22it [00:04,  4.77it/s]\n23it [00:04,  4.77it/s]\n24it [00:04,  4.77it/s]\n25it [00:05,  4.77it/s]\n26it [00:05,  4.76it/s]\n27it [00:05,  4.75it/s]\n28it [00:05,  4.75it/s]\n28it [00:05,  4.83it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 8.76081124,
    "total_time": 9.218802
  },
  "output": [
    "https://replicate.delivery/xezq/213fxG2wi9zmbqwJX942apQYeIusoNHS6LUyB49LOzbg4HfnA/out-0.webp"
  ],
  "started_at": "2024-12-27T15:47:35.850990Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-uk5gwmbzdb6d3n6tpqduytr4i5ej7477wx23l2v7dn66lcqwrhyq",
    "get": "https://api.replicate.com/v1/predictions/nbgenk1vc5rm80cm136vjnzaxw",
    "cancel": "https://api.replicate.com/v1/predictions/nbgenk1vc5rm80cm136vjnzaxw/cancel"
  },
  "version": "30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa"
}

Generated in

8.8 seconds

isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa

2024-12-27 15:47:35.849 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-27 15:47:35.850 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  92%|█████████▏| 281/304 [00:00<00:00, 2805.48it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2698.71it/s]
2024-12-27 15:47:35.963 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=29325147623424
Downloading weights
2024-12-27T15:47:35Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmph_p3s0t2/weights url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar
2024-12-27T15:47:38Z | INFO  | [ Complete ] dest=/tmp/tmph_p3s0t2/weights size="172 MB" total_elapsed=2.203s url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar
Downloaded weights in 2.23s
2024-12-27 15:47:38.190 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227
2024-12-27 15:47:38.259 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2024-12-27 15:47:38.259 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-27 15:47:38.260 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  93%|█████████▎| 282/304 [00:00<00:00, 2803.87it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2704.68it/s]
2024-12-27 15:47:38.372 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 35981
0it [00:00, ?it/s]
1it [00:00,  8.19it/s]
2it [00:00,  5.75it/s]
3it [00:00,  5.26it/s]
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5it [00:00,  4.93it/s]
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7it [00:01,  4.82it/s]
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24it [00:04,  4.77it/s]
25it [00:05,  4.77it/s]
26it [00:05,  4.76it/s]
27it [00:05,  4.75it/s]
28it [00:05,  4.75it/s]
28it [00:05,  4.83it/s]
Total safe images: 1 out of 1

Prediction

Model

r0m9yq62rhrmc0cm135bkkj52w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

6.1s

Created

6 months ago

Input

model: dev
prompt: Full-body portrait of a fierce thin female hunter in her late 20s, clad in rugged swamp attire stained with mud and dried blood, standing in a misty Louisiana bayou at twilight. She wields a modified crossbow with venomous bolts and a LeMat revolver, each bearing signs of dark rituals. Her face is partially shadowed, revealing a determined gaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, with twisted cypress trees draped in Spanish moss and eerie silhouettes in the background. Dramatic, cinematic lighting accentuates the grim, supernatural atmosphere. HUNT style
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Full-body portrait of a fierce thin female hunter in her late 20s, \nclad in rugged swamp attire stained with mud and dried blood, \nstanding in a misty Louisiana bayou at twilight. She wields a modified \ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \nof dark rituals. Her face is partially shadowed, revealing a determined \ngaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, \nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \nin the background. Dramatic, cinematic lighting accentuates the grim, \nsupernatural atmosphere. HUNT style",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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 isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
  {
    input: {
      model: "dev",
      prompt: "Full-body portrait of a fierce thin female hunter in her late 20s, \nclad in rugged swamp attire stained with mud and dried blood, \nstanding in a misty Louisiana bayou at twilight. She wields a modified \ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \nof dark rituals. Her face is partially shadowed, revealing a determined \ngaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, \nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \nin the background. Dramatic, cinematic lighting accentuates the grim, \nsupernatural atmosphere. HUNT style",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      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

Import the client:

import replicate

Run isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    input={
        "model": "dev",
        "prompt": "Full-body portrait of a fierce thin female hunter in her late 20s, \nclad in rugged swamp attire stained with mud and dried blood, \nstanding in a misty Louisiana bayou at twilight. She wields a modified \ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \nof dark rituals. Her face is partially shadowed, revealing a determined \ngaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, \nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \nin the background. Dramatic, cinematic lighting accentuates the grim, \nsupernatural atmosphere. HUNT style",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "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.

Run isaidj/hunt-showdown 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": "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    "input": {
      "model": "dev",
      "prompt": "Full-body portrait of a fierce thin female hunter in her late 20s, \\nclad in rugged swamp attire stained with mud and dried blood, \\nstanding in a misty Louisiana bayou at twilight. She wields a modified \\ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \\nof dark rituals. Her face is partially shadowed, revealing a determined \\ngaze and subtle scars. The scene evokes a gritty \'Hunt: Showdown\' style, \\nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \\nin the background. Dramatic, cinematic lighting accentuates the grim, \\nsupernatural atmosphere. HUNT style",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "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.

Output

{
  "completed_at": "2024-12-27T15:44:59.505221Z",
  "created_at": "2024-12-27T15:44:53.444000Z",
  "data_removed": false,
  "error": null,
  "id": "r0m9yq62rhrmc0cm135bkkj52w",
  "input": {
    "model": "dev",
    "prompt": "Full-body portrait of a fierce thin female hunter in her late 20s, \nclad in rugged swamp attire stained with mud and dried blood, \nstanding in a misty Louisiana bayou at twilight. She wields a modified \ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \nof dark rituals. Her face is partially shadowed, revealing a determined \ngaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, \nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \nin the background. Dramatic, cinematic lighting accentuates the grim, \nsupernatural atmosphere. HUNT style",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Lora https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar already loaded\nUsing seed: 18016\n0it [00:00, ?it/s]\n1it [00:00,  8.35it/s]\n2it [00:00,  5.85it/s]\n3it [00:00,  5.33it/s]\n4it [00:00,  5.11it/s]\n5it [00:00,  4.99it/s]\n6it [00:01,  4.91it/s]\n7it [00:01,  4.88it/s]\n8it [00:01,  4.86it/s]\n9it [00:01,  4.85it/s]\n10it [00:01,  4.83it/s]\n11it [00:02,  4.82it/s]\n12it [00:02,  4.82it/s]\n13it [00:02,  4.82it/s]\n14it [00:02,  4.82it/s]\n15it [00:03,  4.82it/s]\n16it [00:03,  4.81it/s]\n17it [00:03,  4.81it/s]\n18it [00:03,  4.81it/s]\n19it [00:03,  4.81it/s]\n20it [00:04,  4.81it/s]\n21it [00:04,  4.80it/s]\n22it [00:04,  4.80it/s]\n23it [00:04,  4.80it/s]\n24it [00:04,  4.80it/s]\n25it [00:05,  4.80it/s]\n26it [00:05,  4.79it/s]\n27it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\n28it [00:05,  4.88it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 6.053380992,
    "total_time": 6.061221
  },
  "output": [
    "https://replicate.delivery/xezq/w5hp6bAPAFalKhyTI7XKTCOQvEAbNQBeJ1Hxpcm6UQf71HfnA/out-0.webp"
  ],
  "started_at": "2024-12-27T15:44:53.451840Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-ls6kj6rbgt45od3qyjb67msouefciczo36vucv72xnndbqqo7dcq",
    "get": "https://api.replicate.com/v1/predictions/r0m9yq62rhrmc0cm135bkkj52w",
    "cancel": "https://api.replicate.com/v1/predictions/r0m9yq62rhrmc0cm135bkkj52w/cancel"
  },
  "version": "30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa"
}

Generated in

6.1 seconds

isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa

Prediction

Model

z99hqz16vxrme0cm1369jzpbf0

Status

Succeeded

Source

Web

Hardware

H100

Total duration

6.5s

Created

6 months ago

Input

model: dev
prompt: Full-body shot of a determined thin female hunter in her late 20s, standing knee-deep in a murky Louisiana swamp under a bruised violet sky. She’s dressed in ragged, mud-caked clothes stained with dried blood, her dark hair tied back haphazardly, and her eyes burning with vengeful intensity. In one hand, she grips a modified crossbow loaded with venom-laced bolts, its wooden frame etched with cryptic symbols. In her other hand, she holds an old LeMat revolver, smoke still curling from its barrel. Spanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, obscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting spotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere of desperation and supernatural dread. HUNT style.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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 isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
  {
    input: {
      model: "dev",
      prompt: "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      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

Import the client:

import replicate

Run isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    input={
        "model": "dev",
        "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "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.

Run isaidj/hunt-showdown 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": "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    "input": {
      "model": "dev",
      "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \\nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \\nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \\nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \\nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \\nits wooden frame etched with cryptic symbols. In her other hand, \\nshe holds an old LeMat revolver, smoke still curling from its barrel. \\nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \\nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \\nspotlights her fierce expression, capturing the gritty \'Hunt: Showdown\' atmosphere \\nof desperation and supernatural dread. HUNT style.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "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.

Output

{
  "completed_at": "2024-12-27T15:46:31.057755Z",
  "created_at": "2024-12-27T15:46:24.607000Z",
  "data_removed": false,
  "error": null,
  "id": "z99hqz16vxrme0cm1369jzpbf0",
  "input": {
    "model": "dev",
    "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised violet sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2024-12-27 15:46:24.623 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 15:46:24.623 | 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, 2752.99it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2688.33it/s]\n2024-12-27 15:46:24.737 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\n2024-12-27 15:46:24.738 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227\n2024-12-27 15:46:24.856 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-27 15:46:24.856 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 15:46:24.856 | 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, 2754.22it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2689.43it/s]\n2024-12-27 15:46:24.970 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s\nUsing seed: 50808\n0it [00:00, ?it/s]\n1it [00:00,  8.39it/s]\n2it [00:00,  5.89it/s]\n3it [00:00,  5.36it/s]\n4it [00:00,  5.15it/s]\n5it [00:00,  5.02it/s]\n6it [00:01,  4.93it/s]\n7it [00:01,  4.90it/s]\n8it [00:01,  4.89it/s]\n9it [00:01,  4.87it/s]\n10it [00:01,  4.85it/s]\n11it [00:02,  4.84it/s]\n12it [00:02,  4.83it/s]\n13it [00:02,  4.83it/s]\n14it [00:02,  4.83it/s]\n15it [00:03,  4.82it/s]\n16it [00:03,  4.82it/s]\n17it [00:03,  4.81it/s]\n18it [00:03,  4.81it/s]\n19it [00:03,  4.82it/s]\n20it [00:04,  4.82it/s]\n21it [00:04,  4.82it/s]\n22it [00:04,  4.81it/s]\n23it [00:04,  4.81it/s]\n24it [00:04,  4.81it/s]\n25it [00:05,  4.81it/s]\n26it [00:05,  4.81it/s]\n27it [00:05,  4.81it/s]\n28it [00:05,  4.81it/s]\n28it [00:05,  4.89it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 6.433837244,
    "total_time": 6.450755
  },
  "output": [
    "https://replicate.delivery/xezq/X2wQOndbFp5cMFspE037IQAKGnqEc0e3kSgdEcteBZAX3HfnA/out-0.webp"
  ],
  "started_at": "2024-12-27T15:46:24.623918Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-qishgqcphab3nyfuxinxkdxkelslv67rxseqg6pdsv3g5qc44esa",
    "get": "https://api.replicate.com/v1/predictions/z99hqz16vxrme0cm1369jzpbf0",
    "cancel": "https://api.replicate.com/v1/predictions/z99hqz16vxrme0cm1369jzpbf0/cancel"
  },
  "version": "30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa"
}

Generated in

6.4 seconds

isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa

2024-12-27 15:46:24.623 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-27 15:46:24.623 | 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, 2752.99it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2688.33it/s]
2024-12-27 15:46:24.737 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
2024-12-27 15:46:24.738 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227
2024-12-27 15:46:24.856 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2024-12-27 15:46:24.856 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-27 15:46:24.856 | 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, 2754.22it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2689.43it/s]
2024-12-27 15:46:24.970 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s
Using seed: 50808
0it [00:00, ?it/s]
1it [00:00,  8.39it/s]
2it [00:00,  5.89it/s]
3it [00:00,  5.36it/s]
4it [00:00,  5.15it/s]
5it [00:00,  5.02it/s]
6it [00:01,  4.93it/s]
7it [00:01,  4.90it/s]
8it [00:01,  4.89it/s]
9it [00:01,  4.87it/s]
10it [00:01,  4.85it/s]
11it [00:02,  4.84it/s]
12it [00:02,  4.83it/s]
13it [00:02,  4.83it/s]
14it [00:02,  4.83it/s]
15it [00:03,  4.82it/s]
16it [00:03,  4.82it/s]
17it [00:03,  4.81it/s]
18it [00:03,  4.81it/s]
19it [00:03,  4.82it/s]
20it [00:04,  4.82it/s]
21it [00:04,  4.82it/s]
22it [00:04,  4.81it/s]
23it [00:04,  4.81it/s]
24it [00:04,  4.81it/s]
25it [00:05,  4.81it/s]
26it [00:05,  4.81it/s]
27it [00:05,  4.81it/s]
28it [00:05,  4.81it/s]
28it [00:05,  4.89it/s]
Total safe images: 1 out of 1

Prediction

Model

xsw1k8qt4nrme0cm134b7thxxg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

12.4s

Created

6 months ago

Input

model: dev
prompt: Full-body portrait of a fierce thin female hunter in her late 20s, clad in rugged swamp attire stained with mud and dried blood, standing in a misty Louisiana bayou at twilight. She wields a modified crossbow with venomous bolts and a LeMat revolver, each bearing signs of dark rituals. Her face is partially shadowed, revealing a determined gaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, with twisted cypress trees draped in Spanish moss and eerie silhouettes in the background. Dramatic, cinematic lighting accentuates the grim, supernatural atmosphere. HUNT style
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Full-body portrait of a fierce thin female hunter in her late 20s, \nclad in rugged swamp attire stained with mud and dried blood, \nstanding in a misty Louisiana bayou at twilight. She wields a modified \ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \nof dark rituals. Her face is partially shadowed, revealing a determined \ngaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, \nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \nin the background. Dramatic, cinematic lighting accentuates the grim, \nsupernatural atmosphere. HUNT style",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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 isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
  {
    input: {
      model: "dev",
      prompt: "Full-body portrait of a fierce thin female hunter in her late 20s, \nclad in rugged swamp attire stained with mud and dried blood, \nstanding in a misty Louisiana bayou at twilight. She wields a modified \ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \nof dark rituals. Her face is partially shadowed, revealing a determined \ngaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, \nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \nin the background. Dramatic, cinematic lighting accentuates the grim, \nsupernatural atmosphere. HUNT style",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      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

Import the client:

import replicate

Run isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    input={
        "model": "dev",
        "prompt": "Full-body portrait of a fierce thin female hunter in her late 20s, \nclad in rugged swamp attire stained with mud and dried blood, \nstanding in a misty Louisiana bayou at twilight. She wields a modified \ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \nof dark rituals. Her face is partially shadowed, revealing a determined \ngaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, \nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \nin the background. Dramatic, cinematic lighting accentuates the grim, \nsupernatural atmosphere. HUNT style",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "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.

Run isaidj/hunt-showdown 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": "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    "input": {
      "model": "dev",
      "prompt": "Full-body portrait of a fierce thin female hunter in her late 20s, \\nclad in rugged swamp attire stained with mud and dried blood, \\nstanding in a misty Louisiana bayou at twilight. She wields a modified \\ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \\nof dark rituals. Her face is partially shadowed, revealing a determined \\ngaze and subtle scars. The scene evokes a gritty \'Hunt: Showdown\' style, \\nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \\nin the background. Dramatic, cinematic lighting accentuates the grim, \\nsupernatural atmosphere. HUNT style",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "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.

Output

{
  "completed_at": "2024-12-27T15:43:08.918396Z",
  "created_at": "2024-12-27T15:42:56.549000Z",
  "data_removed": false,
  "error": null,
  "id": "xsw1k8qt4nrme0cm134b7thxxg",
  "input": {
    "model": "dev",
    "prompt": "Full-body portrait of a fierce thin female hunter in her late 20s, \nclad in rugged swamp attire stained with mud and dried blood, \nstanding in a misty Louisiana bayou at twilight. She wields a modified \ncrossbow with venomous bolts and a LeMat revolver, each bearing signs \nof dark rituals. Her face is partially shadowed, revealing a determined \ngaze and subtle scars. The scene evokes a gritty 'Hunt: Showdown' style, \nwith twisted cypress trees draped in Spanish moss and eerie silhouettes \nin the background. Dramatic, cinematic lighting accentuates the grim, \nsupernatural atmosphere. HUNT style",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2024-12-27 15:42:56.591 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 15:42:56.591 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  92%|█████████▏| 280/304 [00:00<00:00, 2797.37it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2649.91it/s]\n2024-12-27 15:42:56.706 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29232491352064\nDownloading weights\n2024-12-27T15:42:56Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpi50har_4/weights url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar\n2024-12-27T15:43:02Z | INFO  | [ Complete ] dest=/tmp/tmpi50har_4/weights size=\"172 MB\" total_elapsed=5.850s url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar\nDownloaded weights in 5.87s\n2024-12-27 15:43:02.583 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227\n2024-12-27 15:43:02.657 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-27 15:43:02.657 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 15:43:02.657 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  92%|█████████▏| 281/304 [00:00<00:00, 2773.95it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2653.24it/s]\n2024-12-27 15:43:02.772 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 39532\n0it [00:00, ?it/s]\n1it [00:00,  8.37it/s]\n2it [00:00,  5.84it/s]\n3it [00:00,  5.32it/s]\n4it [00:00,  5.11it/s]\n5it [00:00,  5.00it/s]\n6it [00:01,  4.92it/s]\n7it [00:01,  4.89it/s]\n8it [00:01,  4.86it/s]\n9it [00:01,  4.85it/s]\n10it [00:01,  4.84it/s]\n11it [00:02,  4.83it/s]\n12it [00:02,  4.82it/s]\n13it [00:02,  4.82it/s]\n14it [00:02,  4.81it/s]\n15it [00:03,  4.81it/s]\n16it [00:03,  4.81it/s]\n17it [00:03,  4.80it/s]\n18it [00:03,  4.80it/s]\n19it [00:03,  4.80it/s]\n20it [00:04,  4.80it/s]\n21it [00:04,  4.79it/s]\n22it [00:04,  4.80it/s]\n23it [00:04,  4.80it/s]\n24it [00:04,  4.80it/s]\n25it [00:05,  4.80it/s]\n26it [00:05,  4.79it/s]\n27it [00:05,  4.80it/s]\n28it [00:05,  4.80it/s]\n28it [00:05,  4.88it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 12.325665146,
    "total_time": 12.369396
  },
  "output": [
    "https://replicate.delivery/xezq/tCtWHDLb2gZeNCtNjJkQ7HHGDeY87RjTOJLJY5taevGYoPePB/out-0.webp"
  ],
  "started_at": "2024-12-27T15:42:56.592730Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-ktckpdqga22zu7n4lrn7jh6xcwo33vkwggpbctaxcrfhhil6tnra",
    "get": "https://api.replicate.com/v1/predictions/xsw1k8qt4nrme0cm134b7thxxg",
    "cancel": "https://api.replicate.com/v1/predictions/xsw1k8qt4nrme0cm134b7thxxg/cancel"
  },
  "version": "30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa"
}

Generated in

12.3 seconds

isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa

2024-12-27 15:42:56.591 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-27 15:42:56.591 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  92%|█████████▏| 280/304 [00:00<00:00, 2797.37it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2649.91it/s]
2024-12-27 15:42:56.706 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s
free=29232491352064
Downloading weights
2024-12-27T15:42:56Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpi50har_4/weights url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar
2024-12-27T15:43:02Z | INFO  | [ Complete ] dest=/tmp/tmpi50har_4/weights size="172 MB" total_elapsed=5.850s url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar
Downloaded weights in 5.87s
2024-12-27 15:43:02.583 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227
2024-12-27 15:43:02.657 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2024-12-27 15:43:02.657 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-27 15:43:02.657 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  92%|█████████▏| 281/304 [00:00<00:00, 2773.95it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2653.24it/s]
2024-12-27 15:43:02.772 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s
Using seed: 39532
0it [00:00, ?it/s]
1it [00:00,  8.37it/s]
2it [00:00,  5.84it/s]
3it [00:00,  5.32it/s]
4it [00:00,  5.11it/s]
5it [00:00,  5.00it/s]
6it [00:01,  4.92it/s]
7it [00:01,  4.89it/s]
8it [00:01,  4.86it/s]
9it [00:01,  4.85it/s]
10it [00:01,  4.84it/s]
11it [00:02,  4.83it/s]
12it [00:02,  4.82it/s]
13it [00:02,  4.82it/s]
14it [00:02,  4.81it/s]
15it [00:03,  4.81it/s]
16it [00:03,  4.81it/s]
17it [00:03,  4.80it/s]
18it [00:03,  4.80it/s]
19it [00:03,  4.80it/s]
20it [00:04,  4.80it/s]
21it [00:04,  4.79it/s]
22it [00:04,  4.80it/s]
23it [00:04,  4.80it/s]
24it [00:04,  4.80it/s]
25it [00:05,  4.80it/s]
26it [00:05,  4.79it/s]
27it [00:05,  4.80it/s]
28it [00:05,  4.80it/s]
28it [00:05,  4.88it/s]
Total safe images: 1 out of 1

Prediction

Model

tpb8c4dw59rmc0cm13jr2z1j4w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

9.0s

Created

6 months ago

Input

model: dev
prompt: A man walking on a field, HUNT style
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "A man walking on a field, HUNT style",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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 isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
  {
    input: {
      model: "dev",
      prompt: "A man walking on a field, HUNT style",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      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

Import the client:

import replicate

Run isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    input={
        "model": "dev",
        "prompt": "A man walking on a field, HUNT style",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "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.

Run isaidj/hunt-showdown 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": "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    "input": {
      "model": "dev",
      "prompt": "A man walking on a field, HUNT style",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "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.

Output

{
  "completed_at": "2024-12-27T16:14:30.220963Z",
  "created_at": "2024-12-27T16:14:21.226000Z",
  "data_removed": false,
  "error": null,
  "id": "tpb8c4dw59rmc0cm13jr2z1j4w",
  "input": {
    "model": "dev",
    "prompt": "A man walking on a field, HUNT style",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2024-12-27 16:14:21.474 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 16:14:21.474 | 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, 2736.08it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2652.88it/s]\n2024-12-27 16:14:21.589 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29805509398528\nDownloading weights\n2024-12-27T16:14:21Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpor46hg1b/weights url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar\n2024-12-27T16:14:23Z | INFO  | [ Complete ] dest=/tmp/tmpor46hg1b/weights size=\"172 MB\" total_elapsed=2.310s url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar\nDownloaded weights in 2.33s\n2024-12-27 16:14:23.924 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227\n2024-12-27 16:14:23.991 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-27 16:14:23.991 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 16:14:23.992 | 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, 2735.54it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2652.82it/s]\n2024-12-27 16:14:24.106 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 18608\n0it [00:00, ?it/s]\n1it [00:00,  6.70it/s]\n2it [00:00,  5.46it/s]\n3it [00:00,  5.16it/s]\n4it [00:00,  5.03it/s]\n5it [00:00,  4.95it/s]\n6it [00:01,  4.89it/s]\n7it [00:01,  4.87it/s]\n8it [00:01,  4.86it/s]\n9it [00:01,  4.85it/s]\n10it [00:02,  4.84it/s]\n11it [00:02,  4.83it/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,  4.83it/s]\n20it [00:04,  4.84it/s]\n21it [00:04,  4.84it/s]\n22it [00:04,  4.84it/s]\n23it [00:04,  4.83it/s]\n24it [00:04,  4.83it/s]\n25it [00:05,  4.83it/s]\n26it [00:05,  4.83it/s]\n27it [00:05,  4.83it/s]\n28it [00:05,  4.83it/s]\n28it [00:05,  4.88it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 8.745957663,
    "total_time": 8.994963
  },
  "output": [
    "https://replicate.delivery/xezq/9P9aiRUL24JPH9YleIXhNaxaDQdscrf1NW7LOneSPKGMjQePB/out-0.webp"
  ],
  "started_at": "2024-12-27T16:14:21.475006Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-2iyhbmfkxwk45gj4faxadxao2ywadojnkczbue3p7xjmykjfqaca",
    "get": "https://api.replicate.com/v1/predictions/tpb8c4dw59rmc0cm13jr2z1j4w",
    "cancel": "https://api.replicate.com/v1/predictions/tpb8c4dw59rmc0cm13jr2z1j4w/cancel"
  },
  "version": "30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa"
}

Generated in

8.8 seconds

isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa

2024-12-27 16:14:21.474 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-27 16:14:21.474 | 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, 2736.08it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2652.88it/s]
2024-12-27 16:14:21.589 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s
free=29805509398528
Downloading weights
2024-12-27T16:14:21Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpor46hg1b/weights url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar
2024-12-27T16:14:23Z | INFO  | [ Complete ] dest=/tmp/tmpor46hg1b/weights size="172 MB" total_elapsed=2.310s url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar
Downloaded weights in 2.33s
2024-12-27 16:14:23.924 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227
2024-12-27 16:14:23.991 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2024-12-27 16:14:23.991 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-27 16:14:23.992 | 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, 2735.54it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2652.82it/s]
2024-12-27 16:14:24.106 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 18608
0it [00:00, ?it/s]
1it [00:00,  6.70it/s]
2it [00:00,  5.46it/s]
3it [00:00,  5.16it/s]
4it [00:00,  5.03it/s]
5it [00:00,  4.95it/s]
6it [00:01,  4.89it/s]
7it [00:01,  4.87it/s]
8it [00:01,  4.86it/s]
9it [00:01,  4.85it/s]
10it [00:02,  4.84it/s]
11it [00:02,  4.83it/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,  4.83it/s]
20it [00:04,  4.84it/s]
21it [00:04,  4.84it/s]
22it [00:04,  4.84it/s]
23it [00:04,  4.83it/s]
24it [00:04,  4.83it/s]
25it [00:05,  4.83it/s]
26it [00:05,  4.83it/s]
27it [00:05,  4.83it/s]
28it [00:05,  4.83it/s]
28it [00:05,  4.88it/s]
Total safe images: 1 out of 1

Prediction

Model

14x82v0565rme0cm131b0nemh0

Status

Succeeded

Source

Web

Hardware

H100

Total duration

13.1s

Created

6 months ago

Input

model: dev
prompt: Portrait of a rugged male hunter in his early 40s, wearing a tattered long coat stained with mud and dried blood, set in a dark Louisiana swamp environment. He holds an old bolt-action rifle in one hand and a Bowie knife in the other. A faint cut on his right palm drips blood onto his ammunition. Scars mark his weathered face, and his intense gaze glows with a subtle red light, nicknamed 'Devil’s Eye.' The background is foggy and filled with twisted cypress trees draped in moss. Dramatic, cinematic lighting highlights his determined expression and the ominous atmosphere. High detail, photorealistic, with gothic and supernatural elements. HUNT style
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Portrait of a rugged male hunter in his early 40s, wearing a tattered long coat \nstained with mud and dried blood, set in a dark Louisiana swamp environment. \nHe holds an old bolt-action rifle in one hand and a Bowie knife in the other. \nA faint cut on his right palm drips blood onto his ammunition. Scars mark his \nweathered face, and his intense gaze glows with a subtle red light, \nnicknamed 'Devil’s Eye.' The background is foggy and filled with twisted cypress \ntrees draped in moss. Dramatic, cinematic lighting highlights his determined \nexpression and the ominous atmosphere. High detail, photorealistic, \nwith gothic and supernatural elements. HUNT style\n",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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 isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
  {
    input: {
      model: "dev",
      prompt: "Portrait of a rugged male hunter in his early 40s, wearing a tattered long coat \nstained with mud and dried blood, set in a dark Louisiana swamp environment. \nHe holds an old bolt-action rifle in one hand and a Bowie knife in the other. \nA faint cut on his right palm drips blood onto his ammunition. Scars mark his \nweathered face, and his intense gaze glows with a subtle red light, \nnicknamed 'Devil’s Eye.' The background is foggy and filled with twisted cypress \ntrees draped in moss. Dramatic, cinematic lighting highlights his determined \nexpression and the ominous atmosphere. High detail, photorealistic, \nwith gothic and supernatural elements. HUNT style\n",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      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

Import the client:

import replicate

Run isaidj/hunt-showdown using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    input={
        "model": "dev",
        "prompt": "Portrait of a rugged male hunter in his early 40s, wearing a tattered long coat \nstained with mud and dried blood, set in a dark Louisiana swamp environment. \nHe holds an old bolt-action rifle in one hand and a Bowie knife in the other. \nA faint cut on his right palm drips blood onto his ammunition. Scars mark his \nweathered face, and his intense gaze glows with a subtle red light, \nnicknamed 'Devil’s Eye.' The background is foggy and filled with twisted cypress \ntrees draped in moss. Dramatic, cinematic lighting highlights his determined \nexpression and the ominous atmosphere. High detail, photorealistic, \nwith gothic and supernatural elements. HUNT style\n",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "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.

Run isaidj/hunt-showdown 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": "isaidj/hunt-showdown:30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa",
    "input": {
      "model": "dev",
      "prompt": "Portrait of a rugged male hunter in his early 40s, wearing a tattered long coat \\nstained with mud and dried blood, set in a dark Louisiana swamp environment. \\nHe holds an old bolt-action rifle in one hand and a Bowie knife in the other. \\nA faint cut on his right palm drips blood onto his ammunition. Scars mark his \\nweathered face, and his intense gaze glows with a subtle red light, \\nnicknamed \'Devil’s Eye.\' The background is foggy and filled with twisted cypress \\ntrees draped in moss. Dramatic, cinematic lighting highlights his determined \\nexpression and the ominous atmosphere. High detail, photorealistic, \\nwith gothic and supernatural elements. HUNT style\\n",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "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.

Output

{
  "completed_at": "2024-12-27T15:35:33.760665Z",
  "created_at": "2024-12-27T15:35:20.625000Z",
  "data_removed": false,
  "error": null,
  "id": "14x82v0565rme0cm131b0nemh0",
  "input": {
    "model": "dev",
    "prompt": "Portrait of a rugged male hunter in his early 40s, wearing a tattered long coat \nstained with mud and dried blood, set in a dark Louisiana swamp environment. \nHe holds an old bolt-action rifle in one hand and a Bowie knife in the other. \nA faint cut on his right palm drips blood onto his ammunition. Scars mark his \nweathered face, and his intense gaze glows with a subtle red light, \nnicknamed 'Devil’s Eye.' The background is foggy and filled with twisted cypress \ntrees draped in moss. Dramatic, cinematic lighting highlights his determined \nexpression and the ominous atmosphere. High detail, photorealistic, \nwith gothic and supernatural elements. HUNT style\n",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2024-12-27 15:35:25.152 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 15:35:25.152 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  90%|█████████ | 275/304 [00:00<00:00, 2724.89it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2632.56it/s]\n2024-12-27 15:35:25.268 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=30240092004352\nDownloading weights\n2024-12-27T15:35:25Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpdv94625v/weights url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar\n2024-12-27T15:35:27Z | INFO  | [ Complete ] dest=/tmp/tmpdv94625v/weights size=\"172 MB\" total_elapsed=2.214s url=https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar\nDownloaded weights in 2.24s\n2024-12-27 15:35:27.509 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/042f083928b90227\n2024-12-27 15:35:27.578 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-27 15:35:27.579 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-27 15:35:27.579 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  90%|█████████ | 275/304 [00:00<00:00, 2727.90it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2634.90it/s]\n2024-12-27 15:35:27.695 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 22151\n0it [00:00, ?it/s]\n1it [00:00,  8.40it/s]\n2it [00:00,  5.88it/s]\n3it [00:00,  5.37it/s]\n4it [00:00,  5.15it/s]\n5it [00:00,  5.03it/s]\n6it [00:01,  4.94it/s]\n7it [00:01,  4.90it/s]\n8it [00:01,  4.88it/s]\n9it [00:01,  4.87it/s]\n10it [00:01,  4.85it/s]\n11it [00:02,  4.83it/s]\n12it [00:02,  4.82it/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,  4.84it/s]\n20it [00:04,  4.84it/s]\n21it [00:04,  4.83it/s]\n22it [00:04,  4.83it/s]\n23it [00:04,  4.83it/s]\n24it [00:04,  4.83it/s]\n25it [00:05,  4.84it/s]\n26it [00:05,  4.84it/s]\n27it [00:05,  4.84it/s]\n28it [00:05,  4.83it/s]\n28it [00:05,  4.91it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 8.607226962,
    "total_time": 13.135665
  },
  "output": [
    "https://replicate.delivery/xezq/PdYtje5GqrxhBaNhaXtxgpP4VRNeRnVibQGiemPTpJmLaPePB/out-0.webp"
  ],
  "started_at": "2024-12-27T15:35:25.153438Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-b45wchz3mmadjn6terloigpsxsa5zh2s4sjlr4vqsc4gy5dyy2ya",
    "get": "https://api.replicate.com/v1/predictions/14x82v0565rme0cm131b0nemh0",
    "cancel": "https://api.replicate.com/v1/predictions/14x82v0565rme0cm131b0nemh0/cancel"
  },
  "version": "30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa"
}

Generated in

8.6 seconds