maffuw / scrub-runners2

model: dev
prompt: WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.
lora_scale: 1
num_outputs: 4
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 100
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.",
  "lora_scale": 1,
  "num_outputs": 4,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

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 maffuw/scrub-runners2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "maffuw/scrub-runners2:74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70f",
  {
    input: {
      model: "dev",
      prompt: "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.",
      lora_scale: 1,
      num_outputs: 4,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 100,
      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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run maffuw/scrub-runners2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "maffuw/scrub-runners2:74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70f",
    input={
        "model": "dev",
        "prompt": "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.",
        "lora_scale": 1,
        "num_outputs": 4,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "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 maffuw/scrub-runners2 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": "maffuw/scrub-runners2:74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70f",
    "input": {
      "model": "dev",
      "prompt": "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe\'s surface. Photographed in 35mm style for clarity.",
      "lora_scale": 1,
      "num_outputs": 4,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "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": "2024-09-05T04:12:33.626307Z",
  "created_at": "2024-09-05T04:10:22.123000Z",
  "data_removed": false,
  "error": null,
  "id": "v8s95ttc5drm60chr1g9pm7ha4",
  "input": {
    "model": "dev",
    "prompt": "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.",
    "lora_scale": 1,
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 45702\nPrompt: WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.\ntxt2img mode\nUsing dev model\nfree=8423066492928\nDownloading weights\n2024-09-05T04:10:24Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpl35wijh8/weights url=https://replicate.delivery/yhqm/SkhGsbAyyO6ODRXeddZRMFKLDInhQEYfb95SmpNzBmY6fazmA/trained_model.tar\n2024-09-05T04:10:27Z | INFO  | [ Complete ] dest=/tmp/tmpl35wijh8/weights size=\"344 MB\" total_elapsed=3.377s url=https://replicate.delivery/yhqm/SkhGsbAyyO6ODRXeddZRMFKLDInhQEYfb95SmpNzBmY6fazmA/trained_model.tar\nDownloaded weights in 3.41s\nLoaded LoRAs in 97.63s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:28,  1.06s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.05it/s]\n 11%|█         | 3/28 [00:02<00:25,  1.00s/it]\n 14%|█▍        | 4/28 [00:04<00:24,  1.03s/it]\n 18%|█▊        | 5/28 [00:05<00:24,  1.05s/it]\n 21%|██▏       | 6/28 [00:06<00:23,  1.05s/it]\n 25%|██▌       | 7/28 [00:07<00:22,  1.06s/it]\n 29%|██▊       | 8/28 [00:08<00:21,  1.06s/it]\n 32%|███▏      | 9/28 [00:09<00:20,  1.07s/it]\n 36%|███▌      | 10/28 [00:10<00:19,  1.07s/it]\n 39%|███▉      | 11/28 [00:11<00:18,  1.07s/it]\n 43%|████▎     | 12/28 [00:12<00:17,  1.07s/it]\n 46%|████▋     | 13/28 [00:13<00:16,  1.07s/it]\n 50%|█████     | 14/28 [00:14<00:15,  1.07s/it]\n 54%|█████▎    | 15/28 [00:15<00:13,  1.07s/it]\n 57%|█████▋    | 16/28 [00:16<00:12,  1.07s/it]\n 61%|██████    | 17/28 [00:18<00:11,  1.07s/it]\n 64%|██████▍   | 18/28 [00:19<00:10,  1.07s/it]\n 68%|██████▊   | 19/28 [00:20<00:09,  1.07s/it]\n 71%|███████▏  | 20/28 [00:21<00:08,  1.07s/it]\n 75%|███████▌  | 21/28 [00:22<00:07,  1.07s/it]\n 79%|███████▊  | 22/28 [00:23<00:06,  1.08s/it]\n 82%|████████▏ | 23/28 [00:24<00:05,  1.08s/it]\n 86%|████████▌ | 24/28 [00:25<00:04,  1.07s/it]\n 89%|████████▉ | 25/28 [00:26<00:03,  1.07s/it]\n 93%|█████████▎| 26/28 [00:27<00:02,  1.08s/it]\n 96%|█████████▋| 27/28 [00:28<00:01,  1.08s/it]\n100%|██████████| 28/28 [00:29<00:00,  1.07s/it]\n100%|██████████| 28/28 [00:29<00:00,  1.07s/it]",
  "metrics": {
    "predict_time": 129.193734754,
    "total_time": 131.503307
  },
  "output": [
    "https://replicate.delivery/yhqm/usDTZKkmD0bhAtIBNuhopFb6frHEaLqdka2yLkh8AD0YD3sJA/out-0.webp",
    "https://replicate.delivery/yhqm/cgY2Ijir2DbOCJ2jHvoHewsUH5SEremttmRoTJqhPSgxGuZTA/out-1.webp",
    "https://replicate.delivery/yhqm/jDufOgEsxRSub60qrD1H9kNgqDPujekheJCJUjXcrCSjNczmA/out-2.webp",
    "https://replicate.delivery/yhqm/5muPmVyz5PbGDVMZfjMgumvnAOftdJGIPesDYGYpUnVjNczmA/out-3.webp"
  ],
  "started_at": "2024-09-05T04:10:24.432573Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/v8s95ttc5drm60chr1g9pm7ha4",
    "cancel": "https://api.replicate.com/v1/predictions/v8s95ttc5drm60chr1g9pm7ha4/cancel"
  },
  "version": "74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70f"
}

Generated in

2 minutes 9 seconds

Tweak it ShareReport

Using seed: 45702
Prompt: WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.
txt2img mode
Using dev model
free=8423066492928
Downloading weights
2024-09-05T04:10:24Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpl35wijh8/weights url=https://replicate.delivery/yhqm/SkhGsbAyyO6ODRXeddZRMFKLDInhQEYfb95SmpNzBmY6fazmA/trained_model.tar
2024-09-05T04:10:27Z | INFO  | [ Complete ] dest=/tmp/tmpl35wijh8/weights size="344 MB" total_elapsed=3.377s url=https://replicate.delivery/yhqm/SkhGsbAyyO6ODRXeddZRMFKLDInhQEYfb95SmpNzBmY6fazmA/trained_model.tar
Downloaded weights in 3.41s
Loaded LoRAs in 97.63s
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