Prediction

sofoo1992/tuiwen-v1:0a0f590e7e2dc5dcfd2ec5c4807c6849445522d7b6b7ce5c077f64d742b429ed

Model

sofoo1992/tuiwen-v1:0a0f590e

iwpy6y3bxaein6z6k6mxx6nusq

Status

Succeeded

Source

Web

Hardware

A40

Total duration

44m

Created

over 1 year ago

Input

seed: 99
width: 768
height: 768
prompt: 1girl, long hair, blossom
scheduler: DDIM
num_outputs: 1
guidance_scale: 7.5
num_inference_steps: 30

{
  "seed": 99,
  "width": 768,
  "height": 768,
  "prompt": "1girl, long hair, blossom",
  "scheduler": "DDIM",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "num_inference_steps": 30
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run sofoo1992/tuiwen-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "sofoo1992/tuiwen-v1:0a0f590e7e2dc5dcfd2ec5c4807c6849445522d7b6b7ce5c077f64d742b429ed",
  {
    input: {
      seed: 99,
      width: 768,
      height: 768,
      prompt: "1girl, long hair, blossom",
      scheduler: "DDIM",
      num_outputs: 1,
      guidance_scale: 7.5,
      num_inference_steps: 30
    }
  }
);

// 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 sofoo1992/tuiwen-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "sofoo1992/tuiwen-v1:0a0f590e7e2dc5dcfd2ec5c4807c6849445522d7b6b7ce5c077f64d742b429ed",
    input={
        "seed": 99,
        "width": 768,
        "height": 768,
        "prompt": "1girl, long hair, blossom",
        "scheduler": "DDIM",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "num_inference_steps": 30
    }
)
print(output)

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

Run sofoo1992/tuiwen-v1 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": "sofoo1992/tuiwen-v1:0a0f590e7e2dc5dcfd2ec5c4807c6849445522d7b6b7ce5c077f64d742b429ed",
    "input": {
      "seed": 99,
      "width": 768,
      "height": 768,
      "prompt": "1girl, long hair, blossom",
      "scheduler": "DDIM",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-09-07T17:27:42.094468Z",
  "created_at": "2023-09-07T16:43:37.575442Z",
  "data_removed": false,
  "error": null,
  "id": "iwpy6y3bxaein6z6k6mxx6nusq",
  "input": {
    "seed": 99,
    "width": 768,
    "height": 768,
    "prompt": "1girl, long hair, blossom",
    "scheduler": "DDIM",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "num_inference_steps": 30
  },
  "logs": "Using seed: 99\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:08,  3.44it/s]\n  7%|▋         | 2/30 [00:00<00:08,  3.41it/s]\n 10%|█         | 3/30 [00:00<00:07,  3.41it/s]\n 13%|█▎        | 4/30 [00:01<00:07,  3.41it/s]\n 17%|█▋        | 5/30 [00:01<00:07,  3.40it/s]\n 20%|██        | 6/30 [00:01<00:07,  3.40it/s]\n 23%|██▎       | 7/30 [00:02<00:06,  3.41it/s]\n 27%|██▋       | 8/30 [00:02<00:06,  3.42it/s]\n 30%|███       | 9/30 [00:02<00:06,  3.42it/s]\n 33%|███▎      | 10/30 [00:02<00:05,  3.42it/s]\n 37%|███▋      | 11/30 [00:03<00:05,  3.43it/s]\n 40%|████      | 12/30 [00:03<00:05,  3.43it/s]\n 43%|████▎     | 13/30 [00:03<00:04,  3.42it/s]\n 47%|████▋     | 14/30 [00:04<00:04,  3.42it/s]\n 50%|█████     | 15/30 [00:04<00:04,  3.42it/s]\n 53%|█████▎    | 16/30 [00:04<00:04,  3.42it/s]\n 57%|█████▋    | 17/30 [00:04<00:03,  3.42it/s]\n 60%|██████    | 18/30 [00:05<00:03,  3.42it/s]\n 63%|██████▎   | 19/30 [00:05<00:03,  3.42it/s]\n 67%|██████▋   | 20/30 [00:05<00:02,  3.42it/s]\n 70%|███████   | 21/30 [00:06<00:02,  3.42it/s]\n 73%|███████▎  | 22/30 [00:06<00:02,  3.42it/s]\n 77%|███████▋  | 23/30 [00:06<00:02,  3.42it/s]\n 80%|████████  | 24/30 [00:07<00:01,  3.41it/s]\n 83%|████████▎ | 25/30 [00:07<00:01,  3.42it/s]\n 87%|████████▋ | 26/30 [00:07<00:01,  3.42it/s]\n 90%|█████████ | 27/30 [00:07<00:00,  3.41it/s]\n 93%|█████████▎| 28/30 [00:08<00:00,  3.41it/s]\n 97%|█████████▋| 29/30 [00:08<00:00,  3.41it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.41it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.42it/s]",
  "metrics": {
    "predict_time": 10.359802,
    "total_time": 2644.519026
  },
  "output": [
    "https://replicate.delivery/pbxt/U2GgwvS9CGLkM1Ml4cUeSCibU8g5wv0LSwFBSVMcVApG09wIA/out-0.png"
  ],
  "started_at": "2023-09-07T17:27:31.734666Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/iwpy6y3bxaein6z6k6mxx6nusq",
    "cancel": "https://api.replicate.com/v1/predictions/iwpy6y3bxaein6z6k6mxx6nusq/cancel"
  },
  "version": "0a0f590e7e2dc5dcfd2ec5c4807c6849445522d7b6b7ce5c077f64d742b429ed"
}

Generated in

10.4 seconds

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