Prediction

Model

alphayeho/train:5f0a4a6d

7kh33bhjj5rj40cj6jm94j884g

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

20.3s

Created

about 1 year ago

Webhook

–

Input

prompt: Ultra-realistic image of a men wearing a dark olive-brown quilted jacket with a zipper closure and a cream fur-lined collar. The jacket has horizontal stitching details throughout, two zippered side pockets, and slightly puffed sleeves with elastic cuffs. The men is standing in a professional studio with a completely white background, with soft lighting and no shadows or additional objects. The texture of the fabric should reflect the matte finish, ensuring that the jacket looks identical to the reference image. Focus on capturing the stitching, zipper, and fur lining accurately. TOK.
aspect_ratio: 9:16
prompt_strength: 0.8
model: dev
num_outputs: 1
num_inference_steps: 28
guidance_scale: 3.5
output_format: webp
output_quality: 90
lora_scale: 1
extra_lora_scale: 1

{
  "aspect_ratio": "9:16",
  "extra_lora_scale": 1,
  "guidance_scale": 3.5,
  "lora_scale": 1,
  "model": "dev",
  "num_inference_steps": 28,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 90,
  "prompt": "Ultra-realistic image of a men wearing a dark olive-brown quilted jacket with a zipper closure and a cream fur-lined collar. The jacket has horizontal stitching details throughout, two zippered side pockets, and slightly puffed sleeves with elastic cuffs. The men is standing in a professional studio with a completely white background, with soft lighting and no shadows or additional objects. The texture of the fabric should reflect the matte finish, ensuring that the jacket looks identical to the reference image. Focus on capturing the stitching, zipper, and fur lining accurately. TOK.",
  "prompt_strength": 0.8
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_fNJ**********************************

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

const output = await replicate.run(
  "alphayeho/train:5f0a4a6d41df63066b89404438b1029ca329da06428a48ea61f064a685846d2d",
  {
    input: {
      aspect_ratio: "9:16",
      extra_lora_scale: 1,
      guidance_scale: 3.5,
      lora_scale: 1,
      model: "dev",
      num_inference_steps: 28,
      num_outputs: 1,
      output_format: "webp",
      output_quality: 90,
      prompt: "Ultra-realistic image of a men wearing a dark olive-brown quilted jacket with a zipper closure and a cream fur-lined collar. The jacket has horizontal stitching details throughout, two zippered side pockets, and slightly puffed sleeves with elastic cuffs. The men is standing in a professional studio with a completely white background, with soft lighting and no shadows or additional objects. The texture of the fabric should reflect the matte finish, ensuring that the jacket looks identical to the reference image. Focus on capturing the stitching, zipper, and fur lining accurately. TOK.",
      prompt_strength: 0.8
    }
  }
);

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

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_fNJ**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "alphayeho/train:5f0a4a6d41df63066b89404438b1029ca329da06428a48ea61f064a685846d2d",
    input={
        "aspect_ratio": "9:16",
        "extra_lora_scale": 1,
        "guidance_scale": 3.5,
        "lora_scale": 1,
        "model": "dev",
        "num_inference_steps": 28,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 90,
        "prompt": "Ultra-realistic image of a men wearing a dark olive-brown quilted jacket with a zipper closure and a cream fur-lined collar. The jacket has horizontal stitching details throughout, two zippered side pockets, and slightly puffed sleeves with elastic cuffs. The men is standing in a professional studio with a completely white background, with soft lighting and no shadows or additional objects. The texture of the fabric should reflect the matte finish, ensuring that the jacket looks identical to the reference image. Focus on capturing the stitching, zipper, and fur lining accurately. TOK.",
        "prompt_strength": 0.8
    }
)

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

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

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_fNJ**********************************

This is your API token. Keep it to yourself.

Run alphayeho/train 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": "alphayeho/train:5f0a4a6d41df63066b89404438b1029ca329da06428a48ea61f064a685846d2d",
    "input": {
      "aspect_ratio": "9:16",
      "extra_lora_scale": 1,
      "guidance_scale": 3.5,
      "lora_scale": 1,
      "model": "dev",
      "num_inference_steps": 28,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 90,
      "prompt": "Ultra-realistic image of a men wearing a dark olive-brown quilted jacket with a zipper closure and a cream fur-lined collar. The jacket has horizontal stitching details throughout, two zippered side pockets, and slightly puffed sleeves with elastic cuffs. The men is standing in a professional studio with a completely white background, with soft lighting and no shadows or additional objects. The texture of the fabric should reflect the matte finish, ensuring that the jacket looks identical to the reference image. Focus on capturing the stitching, zipper, and fur lining accurately. TOK.",
      "prompt_strength": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "7kh33bhjj5rj40cj6jm94j884g",
  "model": "alphayeho/train",
  "version": "5f0a4a6d41df63066b89404438b1029ca329da06428a48ea61f064a685846d2d",
  "input": {
    "aspect_ratio": "9:16",
    "extra_lora_scale": 1,
    "guidance_scale": 3.5,
    "lora_scale": 1,
    "model": "dev",
    "num_inference_steps": 28,
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 90,
    "prompt": "Ultra-realistic image of a men wearing a dark olive-brown quilted jacket with a zipper closure and a cream fur-lined collar. The jacket has horizontal stitching details throughout, two zippered side pockets, and slightly puffed sleeves with elastic cuffs. The men is standing in a professional studio with a completely white background, with soft lighting and no shadows or additional objects. The texture of the fabric should reflect the matte finish, ensuring that the jacket looks identical to the reference image. Focus on capturing the stitching, zipper, and fur lining accurately. TOK.",
    "prompt_strength": 0.8
  },
  "logs": "Using seed: 37319\nPrompt: Ultra-realistic image of a men wearing a dark olive-brown quilted jacket with a zipper closure and a cream fur-lined collar. The jacket has horizontal stitching details throughout, two zippered side pockets, and slightly puffed sleeves with elastic cuffs. The men is standing in a professional studio with a completely white background, with soft lighting and no shadows or additional objects. The texture of the fabric should reflect the matte finish, ensuring that the jacket looks identical to the reference image. Focus on capturing the stitching, zipper, and fur lining accurately. TOK.\n[!] txt2img mode\nUsing dev model\nfree=3032967786496\nDownloading weights\n2024-09-27T18:04:51Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpd7jbm2qf/weights url=https://replicate.delivery/yhqm/rTOcdRDnWz5sGR8jlk5MMxdqK0Wb8U6IHRPiedSNTmLwxkwJA/trained_model.tar\n2024-09-27T18:04:52Z | INFO  | [ Complete ] dest=/tmp/tmpd7jbm2qf/weights size=\"172 MB\" total_elapsed=1.028s url=https://replicate.delivery/yhqm/rTOcdRDnWz5sGR8jlk5MMxdqK0Wb8U6IHRPiedSNTmLwxkwJA/trained_model.tar\nDownloaded weights in 1.06s\nLoaded LoRAs in 1.74s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:17,  1.56it/s]\n  7%|▋         | 2/28 [00:01<00:14,  1.76it/s]\n 11%|█         | 3/28 [00:01<00:14,  1.67it/s]\n 14%|█▍        | 4/28 [00:02<00:14,  1.63it/s]\n 18%|█▊        | 5/28 [00:03<00:14,  1.60it/s]\n 21%|██▏       | 6/28 [00:03<00:13,  1.59it/s]\n 25%|██▌       | 7/28 [00:04<00:13,  1.58it/s]\n 29%|██▊       | 8/28 [00:04<00:12,  1.58it/s]\n 32%|███▏      | 9/28 [00:05<00:12,  1.57it/s]\n 36%|███▌      | 10/28 [00:06<00:11,  1.57it/s]\n 39%|███▉      | 11/28 [00:06<00:10,  1.57it/s]\n 43%|████▎     | 12/28 [00:07<00:10,  1.57it/s]\n 46%|████▋     | 13/28 [00:08<00:09,  1.56it/s]\n 50%|█████     | 14/28 [00:08<00:08,  1.56it/s]\n 54%|█████▎    | 15/28 [00:09<00:08,  1.56it/s]\n 57%|█████▋    | 16/28 [00:10<00:07,  1.56it/s]\n 61%|██████    | 17/28 [00:10<00:07,  1.56it/s]\n 64%|██████▍   | 18/28 [00:11<00:06,  1.56it/s]\n 68%|██████▊   | 19/28 [00:12<00:05,  1.56it/s]\n 71%|███████▏  | 20/28 [00:12<00:05,  1.56it/s]\n 75%|███████▌  | 21/28 [00:13<00:04,  1.56it/s]\n 79%|███████▊  | 22/28 [00:13<00:03,  1.56it/s]\n 82%|████████▏ | 23/28 [00:14<00:03,  1.56it/s]\n 86%|████████▌ | 24/28 [00:15<00:02,  1.56it/s]\n 89%|████████▉ | 25/28 [00:15<00:01,  1.56it/s]\n 93%|█████████▎| 26/28 [00:16<00:01,  1.56it/s]\n 96%|█████████▋| 27/28 [00:17<00:00,  1.56it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.56it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.57it/s]",
  "output": [
    "https://replicate.delivery/yhqm/TPCB5WL9yN5ZM975If2meph4xPDzfgH3cNh9BxrikDyuuUCnA/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-09-27T18:04:51.217Z",
  "started_at": "2024-09-27T18:04:51.227608Z",
  "completed_at": "2024-09-27T18:05:11.470777Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/7kh33bhjj5rj40cj6jm94j884g/cancel",
    "get": "https://api.replicate.com/v1/predictions/7kh33bhjj5rj40cj6jm94j884g",
    "web": "https://replicate.com/p/7kh33bhjj5rj40cj6jm94j884g"
  },
  "metrics": {
    "predict_time": 20.243169023,
    "total_time": 20.253777
  }
}

Generated in

20.3 seconds

Tweak it Report

Using seed: 37319 Prompt: Ultra-realistic image of a men wearing a dark olive-brown quilted jacket with a zipper closure and a cream fur-lined collar. The jacket has horizontal stitching details throughout, two zippered side pockets, and slightly puffed sleeves with elastic cuffs. The men is standing in a professional studio with a completely white background, with soft lighting and no shadows or additional objects. The texture of the fabric should reflect the matte finish, ensuring that the jacket looks identical to the reference image. Focus on capturing the stitching, zipper, and fur lining accurately. TOK. [!] txt2img mode Using dev model free=3032967786496 Downloading weights 2024-09-27T18:04:51Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd7jbm2qf/weights url=https://replicate.delivery/yhqm/rTOcdRDnWz5sGR8jlk5MMxdqK0Wb8U6IHRPiedSNTmLwxkwJA/trained_model.tar 2024-09-27T18:04:52Z | INFO | [ Complete ] dest=/tmp/tmpd7jbm2qf/weights size="172 MB" total_elapsed=1.028s url=https://replicate.delivery/yhqm/rTOcdRDnWz5sGR8jlk5MMxdqK0Wb8U6IHRPiedSNTmLwxkwJA/trained_model.tar Downloaded weights in 1.06s Loaded LoRAs in 1.74s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:17, 1.56it/s] 7%|▋ | 2/28 [00:01<00:14, 1.76it/s] 11%|█ | 3/28 [00:01<00:14, 1.67it/s] 14%|█▍ | 4/28 [00:02<00:14, 1.63it/s] 18%|█▊ | 5/28 [00:03<00:14, 1.60it/s] 21%|██▏ | 6/28 [00:03<00:13, 1.59it/s] 25%|██▌ | 7/28 [00:04<00:13, 1.58it/s] 29%|██▊ | 8/28 [00:04<00:12, 1.58it/s] 32%|███▏ | 9/28 [00:05<00:12, 1.57it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.57it/s] 39%|███▉ | 11/28 [00:06<00:10, 1.57it/s] 43%|████▎ | 12/28 [00:07<00:10, 1.57it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.56it/s] 50%|█████ | 14/28 [00:08<00:08, 1.56it/s] 54%|█████▎ | 15/28 [00:09<00:08, 1.56it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.56it/s] 61%|██████ | 17/28 [00:10<00:07, 1.56it/s] 64%|██████▍ | 18/28 [00:11<00:06, 1.56it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.56it/s] 71%|███████▏ | 20/28 [00:12<00:05, 1.56it/s] 75%|███████▌ | 21/28 [00:13<00:04, 1.56it/s] 79%|███████▊ | 22/28 [00:13<00:03, 1.56it/s] 82%|████████▏ | 23/28 [00:14<00:03, 1.56it/s] 86%|████████▌ | 24/28 [00:15<00:02, 1.56it/s] 89%|████████▉ | 25/28 [00:15<00:01, 1.56it/s] 93%|█████████▎| 26/28 [00:16<00:01, 1.56it/s] 96%|█████████▋| 27/28 [00:17<00:00, 1.56it/s] 100%|██████████| 28/28 [00:17<00:00, 1.56it/s] 100%|██████████| 28/28 [00:17<00:00, 1.57it/s]