Prediction

Model

fofr/sdxl-gingerbread:1a433dde

3imnidtbxy62wevlvdc76xf6bi

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

8.6s

Created

about 2 years ago

Webhook

–

Input

prompt: A photo of a TOK gingerbread delorean
negative_prompt: ugly, distorted, broken
width: 1152
height: 768
num_outputs: 1
scheduler: K_EULER
num_inference_steps: 30
guidance_scale: 7.5
prompt_strength: 0.8
refine: expert_ensemble_refiner
high_noise_frac: 0.8
apply_watermark: false
lora_scale: 0.6

{
  "apply_watermark": false,
  "guidance_scale": 7.5,
  "height": 768,
  "high_noise_frac": 0.8,
  "lora_scale": 0.6,
  "negative_prompt": "ugly, distorted, broken",
  "num_inference_steps": 30,
  "num_outputs": 1,
  "prompt": "A photo of a TOK gingerbread delorean",
  "prompt_strength": 0.8,
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER",
  "width": 1152
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_DYG**********************************

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

const output = await replicate.run(
  "fofr/sdxl-gingerbread:1a433ddec5f3bd1f3706014420344a24c727b9b67fd8e1b53a3ae25bc348ae42",
  {
    input: {
      apply_watermark: false,
      guidance_scale: 7.5,
      height: 768,
      high_noise_frac: 0.8,
      lora_scale: 0.6,
      negative_prompt: "ugly, distorted, broken",
      num_inference_steps: 30,
      num_outputs: 1,
      prompt: "A photo of a TOK gingerbread delorean",
      prompt_strength: 0.8,
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER",
      width: 1152
    }
  }
);

// 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_DYG**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "fofr/sdxl-gingerbread:1a433ddec5f3bd1f3706014420344a24c727b9b67fd8e1b53a3ae25bc348ae42",
    input={
        "apply_watermark": False,
        "guidance_scale": 7.5,
        "height": 768,
        "high_noise_frac": 0.8,
        "lora_scale": 0.6,
        "negative_prompt": "ugly, distorted, broken",
        "num_inference_steps": 30,
        "num_outputs": 1,
        "prompt": "A photo of a TOK gingerbread delorean",
        "prompt_strength": 0.8,
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "width": 1152
    }
)

# 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_DYG**********************************

This is your API token. Keep it to yourself.

Run fofr/sdxl-gingerbread 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": "fofr/sdxl-gingerbread:1a433ddec5f3bd1f3706014420344a24c727b9b67fd8e1b53a3ae25bc348ae42",
    "input": {
      "apply_watermark": false,
      "guidance_scale": 7.5,
      "height": 768,
      "high_noise_frac": 0.8,
      "lora_scale": 0.6,
      "negative_prompt": "ugly, distorted, broken",
      "num_inference_steps": 30,
      "num_outputs": 1,
      "prompt": "A photo of a TOK gingerbread delorean",
      "prompt_strength": 0.8,
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER",
      "width": 1152
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "3imnidtbxy62wevlvdc76xf6bi",
  "model": "fofr/sdxl-gingerbread",
  "version": "1a433ddec5f3bd1f3706014420344a24c727b9b67fd8e1b53a3ae25bc348ae42",
  "input": {
    "apply_watermark": false,
    "guidance_scale": 7.5,
    "height": 768,
    "high_noise_frac": 0.8,
    "lora_scale": 0.6,
    "negative_prompt": "ugly, distorted, broken",
    "num_inference_steps": 30,
    "num_outputs": 1,
    "prompt": "A photo of a TOK gingerbread delorean",
    "prompt_strength": 0.8,
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER",
    "width": 1152
  },
  "logs": "Using seed: 28491\nskipping loading .. weights already loaded\nPrompt: A photo of a <s0><s1> gingerbread delorean\ntxt2img mode\n  0%|          | 0/23 [00:00<?, ?it/s]\n  4%|▍         | 1/23 [00:00<00:05,  4.33it/s]\n  9%|▊         | 2/23 [00:00<00:04,  4.32it/s]\n 13%|█▎        | 3/23 [00:00<00:04,  4.31it/s]\n 17%|█▋        | 4/23 [00:00<00:04,  4.30it/s]\n 22%|██▏       | 5/23 [00:01<00:04,  4.30it/s]\n 26%|██▌       | 6/23 [00:01<00:03,  4.30it/s]\n 30%|███       | 7/23 [00:01<00:03,  4.29it/s]\n 35%|███▍      | 8/23 [00:01<00:03,  4.29it/s]\n 39%|███▉      | 9/23 [00:02<00:03,  4.29it/s]\n 43%|████▎     | 10/23 [00:02<00:03,  4.29it/s]\n 48%|████▊     | 11/23 [00:02<00:02,  4.29it/s]\n 52%|█████▏    | 12/23 [00:02<00:02,  4.28it/s]\n 57%|█████▋    | 13/23 [00:03<00:02,  4.29it/s]\n 61%|██████    | 14/23 [00:03<00:02,  4.29it/s]\n 65%|██████▌   | 15/23 [00:03<00:01,  4.29it/s]\n 70%|██████▉   | 16/23 [00:03<00:01,  4.28it/s]\n 74%|███████▍  | 17/23 [00:03<00:01,  4.28it/s]\n 78%|███████▊  | 18/23 [00:04<00:01,  4.28it/s]\n 83%|████████▎ | 19/23 [00:04<00:00,  4.28it/s]\n 87%|████████▋ | 20/23 [00:04<00:00,  4.28it/s]\n 91%|█████████▏| 21/23 [00:04<00:00,  4.28it/s]\n 96%|█████████▌| 22/23 [00:05<00:00,  4.28it/s]\n100%|██████████| 23/23 [00:05<00:00,  4.28it/s]\n100%|██████████| 23/23 [00:05<00:00,  4.29it/s]\n  0%|          | 0/7 [00:00<?, ?it/s]\n 14%|█▍        | 1/7 [00:00<00:01,  5.50it/s]\n 29%|██▊       | 2/7 [00:00<00:00,  5.47it/s]\n 43%|████▎     | 3/7 [00:00<00:00,  5.46it/s]\n 57%|█████▋    | 4/7 [00:00<00:00,  5.45it/s]\n 71%|███████▏  | 5/7 [00:00<00:00,  5.46it/s]\n 86%|████████▌ | 6/7 [00:01<00:00,  5.46it/s]\n100%|██████████| 7/7 [00:01<00:00,  5.46it/s]\n100%|██████████| 7/7 [00:01<00:00,  5.46it/s]",
  "output": [
    "https://replicate.delivery/pbxt/ZTIU1w6N6EYtMJPxSN3pHNBrmLarOXc4zjdt1GIJ1fLBxB9IA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-11-19T22:04:43.132748Z",
  "started_at": "2023-11-19T22:04:43.167437Z",
  "completed_at": "2023-11-19T22:04:51.676824Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/3imnidtbxy62wevlvdc76xf6bi/cancel",
    "get": "https://api.replicate.com/v1/predictions/3imnidtbxy62wevlvdc76xf6bi"
  },
  "metrics": {
    "predict_time": 8.509387,
    "total_time": 8.544076
  }
}

Generated in

8.5 seconds

Tweak it Report

Using seed: 28491 skipping loading .. weights already loaded Prompt: A photo of a <s0><s1> gingerbread delorean txt2img mode 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:05, 4.33it/s] 9%|▊ | 2/23 [00:00<00:04, 4.32it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.31it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.30it/s] 22%|██▏ | 5/23 [00:01<00:04, 4.30it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.30it/s] 30%|███ | 7/23 [00:01<00:03, 4.29it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.29it/s] 39%|███▉ | 9/23 [00:02<00:03, 4.29it/s] 43%|████▎ | 10/23 [00:02<00:03, 4.29it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.29it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.28it/s] 57%|█████▋ | 13/23 [00:03<00:02, 4.29it/s] 61%|██████ | 14/23 [00:03<00:02, 4.29it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.29it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.28it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.28it/s] 78%|███████▊ | 18/23 [00:04<00:01, 4.28it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.28it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.28it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.28it/s] 96%|█████████▌| 22/23 [00:05<00:00, 4.28it/s] 100%|██████████| 23/23 [00:05<00:00, 4.28it/s] 100%|██████████| 23/23 [00:05<00:00, 4.29it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 5.50it/s] 29%|██▊ | 2/7 [00:00<00:00, 5.47it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.46it/s] 57%|█████▋ | 4/7 [00:00<00:00, 5.45it/s] 71%|███████▏ | 5/7 [00:00<00:00, 5.46it/s] 86%|████████▌ | 6/7 [00:01<00:00, 5.46it/s] 100%|██████████| 7/7 [00:01<00:00, 5.46it/s] 100%|██████████| 7/7 [00:01<00:00, 5.46it/s]