Prediction

Model

s-clementc/manon:d2e544bb

b7yp0sv1g5rm40chmenr6yt73w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

58.8s

Created

over 1 year ago by s-clementc

Webhook

–

Input

prompt: An ultra realistic image of Manon smiling looking at the camera
aspect_ratio: 1:1
model: dev
num_outputs: 4
num_inference_steps: 28
guidance_scale: 3.5
output_format: webp
output_quality: 100
lora_scale: 1
extra_lora_scale: 0.8

{
  "aspect_ratio": "1:1",
  "extra_lora_scale": 0.8,
  "guidance_scale": 3.5,
  "lora_scale": 1,
  "model": "dev",
  "num_inference_steps": 28,
  "num_outputs": 4,
  "output_format": "webp",
  "output_quality": 100,
  "prompt": "An ultra realistic image of Manon smiling looking at the camera"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_T66**********************************

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

const output = await replicate.run(
  "s-clementc/manon:d2e544bbbfb02b788d2d605bf5961fe664b8ead085d4182aeac2e8d039c05f56",
  {
    input: {
      aspect_ratio: "1:1",
      extra_lora_scale: 0.8,
      guidance_scale: 3.5,
      lora_scale: 1,
      model: "dev",
      num_inference_steps: 28,
      num_outputs: 4,
      output_format: "webp",
      output_quality: 100,
      prompt: "An ultra realistic image of Manon smiling looking at the camera"
    }
  }
);

// 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_T66**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "s-clementc/manon:d2e544bbbfb02b788d2d605bf5961fe664b8ead085d4182aeac2e8d039c05f56",
    input={
        "aspect_ratio": "1:1",
        "extra_lora_scale": 0.8,
        "guidance_scale": 3.5,
        "lora_scale": 1,
        "model": "dev",
        "num_inference_steps": 28,
        "num_outputs": 4,
        "output_format": "webp",
        "output_quality": 100,
        "prompt": "An ultra realistic image of Manon smiling looking at the camera"
    }
)

# 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_T66**********************************

This is your API token. Keep it to yourself.

Run s-clementc/manon 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": "s-clementc/manon:d2e544bbbfb02b788d2d605bf5961fe664b8ead085d4182aeac2e8d039c05f56",
    "input": {
      "aspect_ratio": "1:1",
      "extra_lora_scale": 0.8,
      "guidance_scale": 3.5,
      "lora_scale": 1,
      "model": "dev",
      "num_inference_steps": 28,
      "num_outputs": 4,
      "output_format": "webp",
      "output_quality": 100,
      "prompt": "An ultra realistic image of Manon smiling looking at the camera"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "b7yp0sv1g5rm40chmenr6yt73w",
  "model": "s-clementc/manon",
  "version": "d2e544bbbfb02b788d2d605bf5961fe664b8ead085d4182aeac2e8d039c05f56",
  "input": {
    "aspect_ratio": "1:1",
    "extra_lora_scale": 0.8,
    "guidance_scale": 3.5,
    "lora_scale": 1,
    "model": "dev",
    "num_inference_steps": 28,
    "num_outputs": 4,
    "output_format": "webp",
    "output_quality": 100,
    "prompt": "An ultra realistic image of Manon smiling looking at the camera"
  },
  "logs": "Using seed: 12667\nPrompt: An ultra realistic image of Manon smiling looking at the camera\ntxt2img mode\nUsing dev model\nfree=9628293607424\nDownloading weights\n2024-08-30T14:23:23Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmprlki_wru/weights url=https://replicate.delivery/yhqm/iMVDLgIfRn3RZiwr3me81i2qbR5pPsSqoBFhoGN5jwJ5M4XTA/trained_model.tar\n2024-08-30T14:23:27Z | INFO  | [ Complete ] dest=/tmp/tmprlki_wru/weights size=\"172 MB\" total_elapsed=3.631s url=https://replicate.delivery/yhqm/iMVDLgIfRn3RZiwr3me81i2qbR5pPsSqoBFhoGN5jwJ5M4XTA/trained_model.tar\nDownloaded weights in 3.67s\nLoaded LoRAs in 26.75s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:30,  1.13s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.07it/s]\n 11%|█         | 3/28 [00:02<00:24,  1.02it/s]\n 14%|█▍        | 4/28 [00:03<00:23,  1.00it/s]\n 18%|█▊        | 5/28 [00:05<00:23,  1.01s/it]\n 21%|██▏       | 6/28 [00:06<00:22,  1.02s/it]\n 25%|██▌       | 7/28 [00:07<00:21,  1.02s/it]\n 29%|██▊       | 8/28 [00:08<00:20,  1.02s/it]\n 32%|███▏      | 9/28 [00:09<00:19,  1.03s/it]\n 36%|███▌      | 10/28 [00:10<00:18,  1.03s/it]\n 39%|███▉      | 11/28 [00:11<00:17,  1.03s/it]\n 43%|████▎     | 12/28 [00:12<00:16,  1.04s/it]\n 46%|████▋     | 13/28 [00:13<00:15,  1.04s/it]\n 50%|█████     | 14/28 [00:14<00:14,  1.04s/it]\n 54%|█████▎    | 15/28 [00:15<00:13,  1.04s/it]\n 57%|█████▋    | 16/28 [00:16<00:12,  1.04s/it]\n 61%|██████    | 17/28 [00:17<00:11,  1.04s/it]\n 64%|██████▍   | 18/28 [00:18<00:10,  1.04s/it]\n 68%|██████▊   | 19/28 [00:19<00:09,  1.04s/it]\n 71%|███████▏  | 20/28 [00:20<00:08,  1.04s/it]\n 75%|███████▌  | 21/28 [00:21<00:07,  1.04s/it]\n 79%|███████▊  | 22/28 [00:22<00:06,  1.04s/it]\n 82%|████████▏ | 23/28 [00:23<00:05,  1.04s/it]\n 86%|████████▌ | 24/28 [00:24<00:04,  1.04s/it]\n 89%|████████▉ | 25/28 [00:25<00:03,  1.04s/it]\n 93%|█████████▎| 26/28 [00:26<00:02,  1.04s/it]\n 96%|█████████▋| 27/28 [00:27<00:01,  1.04s/it]\n100%|██████████| 28/28 [00:28<00:00,  1.04s/it]\n100%|██████████| 28/28 [00:28<00:00,  1.03s/it]",
  "output": [
    "https://replicate.delivery/yhqm/caKMoBRBE5JdNJcCWe9KeNTtB7rDKigA6YWbeaJ8fa0WBifaC/out-0.webp",
    "https://replicate.delivery/yhqm/0iuOAtfme3mfIJJFhIfkcAeeGe19IuV3eHsm4INNG14bVg4XTA/out-1.webp",
    "https://replicate.delivery/yhqm/ZT5eJS4OBb2zACJfENBnehAayMXPsOk4bFKG2oAAOf4YBifaC/out-2.webp",
    "https://replicate.delivery/yhqm/iDG9AttfUuxCECIvH5sekDnr9FPIZq2lHdOLGxw8BTPWg4XTA/out-3.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-08-30T14:23:23.521Z",
  "started_at": "2024-08-30T14:23:23.533074Z",
  "completed_at": "2024-08-30T14:24:22.357661Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/b7yp0sv1g5rm40chmenr6yt73w/cancel",
    "get": "https://api.replicate.com/v1/predictions/b7yp0sv1g5rm40chmenr6yt73w",
    "web": "https://replicate.com/p/b7yp0sv1g5rm40chmenr6yt73w"
  },
  "metrics": {
    "predict_time": 58.824586755,
    "total_time": 58.836661
  }
}

Generated in

58.8 seconds

Tweak it Report

Using seed: 12667 Prompt: An ultra realistic image of Manon smiling looking at the camera txt2img mode Using dev model free=9628293607424 Downloading weights 2024-08-30T14:23:23Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmprlki_wru/weights url=https://replicate.delivery/yhqm/iMVDLgIfRn3RZiwr3me81i2qbR5pPsSqoBFhoGN5jwJ5M4XTA/trained_model.tar 2024-08-30T14:23:27Z | INFO | [ Complete ] dest=/tmp/tmprlki_wru/weights size="172 MB" total_elapsed=3.631s url=https://replicate.delivery/yhqm/iMVDLgIfRn3RZiwr3me81i2qbR5pPsSqoBFhoGN5jwJ5M4XTA/trained_model.tar Downloaded weights in 3.67s Loaded LoRAs in 26.75s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:30, 1.13s/it] 7%|▋ | 2/28 [00:01<00:24, 1.07it/s] 11%|█ | 3/28 [00:02<00:24, 1.02it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.00it/s] 18%|█▊ | 5/28 [00:05<00:23, 1.01s/it] 21%|██▏ | 6/28 [00:06<00:22, 1.02s/it] 25%|██▌ | 7/28 [00:07<00:21, 1.02s/it] 29%|██▊ | 8/28 [00:08<00:20, 1.02s/it] 32%|███▏ | 9/28 [00:09<00:19, 1.03s/it] 36%|███▌ | 10/28 [00:10<00:18, 1.03s/it] 39%|███▉ | 11/28 [00:11<00:17, 1.03s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.04s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.04s/it] 50%|█████ | 14/28 [00:14<00:14, 1.04s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.04s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.04s/it] 61%|██████ | 17/28 [00:17<00:11, 1.04s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.04s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.04s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.04s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.04s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.04s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.04s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.04s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.04s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.04s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.04s/it] 100%|██████████| 28/28 [00:28<00:00, 1.04s/it] 100%|██████████| 28/28 [00:28<00:00, 1.03s/it]