Prediction

Model

fofr/sdxl-tron:fd920825

btkuistbhi2sxctpvzq4nzr6ym

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

84.7s

Created

over 2 years ago

Webhook

–

Input

prompt: An impasto painting in the style of TOK, neon, orange and cyan
negative_prompt: yellow, cluttered, ugly, photo
width: 1360
height: 768
num_outputs: 4
scheduler: K_EULER
num_inference_steps: 50
guidance_scale: 7.5
prompt_strength: 0.8
refine: expert_ensemble_refiner
high_noise_frac: 0.95
apply_watermark: false
lora_scale: 0.72

{
  "apply_watermark": false,
  "guidance_scale": 7.5,
  "height": 768,
  "high_noise_frac": 0.95,
  "lora_scale": 0.72,
  "negative_prompt": "yellow, cluttered, ugly, photo",
  "num_inference_steps": 50,
  "num_outputs": 4,
  "prompt": "An impasto painting in the style of TOK, neon, orange and cyan",
  "prompt_strength": 0.8,
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER",
  "width": 1360
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_acs**********************************

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

const output = await replicate.run(
  "fofr/sdxl-tron:fd920825e12db2a942f8a9cac40ad4f624a34a06faba3ac1b44a5305df8c6e2d",
  {
    input: {
      apply_watermark: false,
      guidance_scale: 7.5,
      height: 768,
      high_noise_frac: 0.95,
      lora_scale: 0.72,
      negative_prompt: "yellow, cluttered, ugly, photo",
      num_inference_steps: 50,
      num_outputs: 4,
      prompt: "An impasto painting in the style of TOK, neon, orange and cyan",
      prompt_strength: 0.8,
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER",
      width: 1360
    }
  }
);

// 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_acs**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "fofr/sdxl-tron:fd920825e12db2a942f8a9cac40ad4f624a34a06faba3ac1b44a5305df8c6e2d",
    input={
        "apply_watermark": False,
        "guidance_scale": 7.5,
        "height": 768,
        "high_noise_frac": 0.95,
        "lora_scale": 0.72,
        "negative_prompt": "yellow, cluttered, ugly, photo",
        "num_inference_steps": 50,
        "num_outputs": 4,
        "prompt": "An impasto painting in the style of TOK, neon, orange and cyan",
        "prompt_strength": 0.8,
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "width": 1360
    }
)

# 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_acs**********************************

This is your API token. Keep it to yourself.

Run fofr/sdxl-tron 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-tron:fd920825e12db2a942f8a9cac40ad4f624a34a06faba3ac1b44a5305df8c6e2d",
    "input": {
      "apply_watermark": false,
      "guidance_scale": 7.5,
      "height": 768,
      "high_noise_frac": 0.95,
      "lora_scale": 0.72,
      "negative_prompt": "yellow, cluttered, ugly, photo",
      "num_inference_steps": 50,
      "num_outputs": 4,
      "prompt": "An impasto painting in the style of TOK, neon, orange and cyan",
      "prompt_strength": 0.8,
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER",
      "width": 1360
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "btkuistbhi2sxctpvzq4nzr6ym",
  "model": "fofr/sdxl-tron",
  "version": "fd920825e12db2a942f8a9cac40ad4f624a34a06faba3ac1b44a5305df8c6e2d",
  "input": {
    "apply_watermark": false,
    "guidance_scale": 7.5,
    "height": 768,
    "high_noise_frac": 0.95,
    "lora_scale": 0.72,
    "negative_prompt": "yellow, cluttered, ugly, photo",
    "num_inference_steps": 50,
    "num_outputs": 4,
    "prompt": "An impasto painting in the style of TOK, neon, orange and cyan",
    "prompt_strength": 0.8,
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER",
    "width": 1360
  },
  "logs": "Using seed: 9684\nPrompt: An impasto painting in the style of <s0><s1>, neon, orange and cyan\ntxt2img mode\n  0%|          | 0/47 [00:00<?, ?it/s]\n  2%|▏         | 1/47 [00:01<00:46,  1.01s/it]\n  4%|▍         | 2/47 [00:02<00:45,  1.02s/it]\n  6%|▋         | 3/47 [00:03<00:44,  1.02s/it]\n  9%|▊         | 4/47 [00:04<00:43,  1.02s/it]\n 11%|█         | 5/47 [00:05<00:42,  1.02s/it]\n 13%|█▎        | 6/47 [00:06<00:41,  1.02s/it]\n 15%|█▍        | 7/47 [00:07<00:40,  1.02s/it]\n 17%|█▋        | 8/47 [00:08<00:39,  1.02s/it]\n 19%|█▉        | 9/47 [00:09<00:38,  1.02s/it]\n 21%|██▏       | 10/47 [00:10<00:37,  1.02s/it]\n 23%|██▎       | 11/47 [00:11<00:36,  1.02s/it]\n 26%|██▌       | 12/47 [00:12<00:35,  1.02s/it]\n 28%|██▊       | 13/47 [00:13<00:34,  1.02s/it]\n 30%|██▉       | 14/47 [00:14<00:33,  1.02s/it]\n 32%|███▏      | 15/47 [00:15<00:32,  1.02s/it]\n 34%|███▍      | 16/47 [00:16<00:31,  1.02s/it]\n 36%|███▌      | 17/47 [00:17<00:30,  1.02s/it]\n 38%|███▊      | 18/47 [00:18<00:29,  1.02s/it]\n 40%|████      | 19/47 [00:19<00:28,  1.02s/it]\n 43%|████▎     | 20/47 [00:20<00:27,  1.02s/it]\n 45%|████▍     | 21/47 [00:21<00:26,  1.02s/it]\n 47%|████▋     | 22/47 [00:22<00:25,  1.02s/it]\n 49%|████▉     | 23/47 [00:23<00:24,  1.02s/it]\n 51%|█████     | 24/47 [00:24<00:23,  1.02s/it]\n 53%|█████▎    | 25/47 [00:25<00:22,  1.02s/it]\n 55%|█████▌    | 26/47 [00:26<00:21,  1.02s/it]\n 57%|█████▋    | 27/47 [00:27<00:20,  1.02s/it]\n 60%|█████▉    | 28/47 [00:28<00:19,  1.02s/it]\n 62%|██████▏   | 29/47 [00:29<00:18,  1.02s/it]\n 64%|██████▍   | 30/47 [00:30<00:17,  1.02s/it]\n 66%|██████▌   | 31/47 [00:31<00:16,  1.02s/it]\n 68%|██████▊   | 32/47 [00:32<00:15,  1.02s/it]\n 70%|███████   | 33/47 [00:33<00:14,  1.02s/it]\n 72%|███████▏  | 34/47 [00:34<00:13,  1.02s/it]\n 74%|███████▍  | 35/47 [00:35<00:12,  1.02s/it]\n 77%|███████▋  | 36/47 [00:36<00:11,  1.02s/it]\n 79%|███████▊  | 37/47 [00:37<00:10,  1.02s/it]\n 81%|████████  | 38/47 [00:38<00:09,  1.02s/it]\n 83%|████████▎ | 39/47 [00:39<00:08,  1.02s/it]\n 85%|████████▌ | 40/47 [00:40<00:07,  1.02s/it]\n 87%|████████▋ | 41/47 [00:41<00:06,  1.02s/it]\n 89%|████████▉ | 42/47 [00:42<00:05,  1.02s/it]\n 91%|█████████▏| 43/47 [00:43<00:04,  1.02s/it]\n 94%|█████████▎| 44/47 [00:44<00:03,  1.02s/it]\n 96%|█████████▌| 45/47 [00:45<00:02,  1.02s/it]\n 98%|█████████▊| 46/47 [00:46<00:01,  1.02s/it]\n100%|██████████| 47/47 [00:47<00:00,  1.02s/it]\n100%|██████████| 47/47 [00:47<00:00,  1.02s/it]\n  0%|          | 0/3 [00:00<?, ?it/s]\n 33%|███▎      | 1/3 [00:00<00:01,  1.21it/s]\n 67%|██████▋   | 2/3 [00:01<00:00,  1.21it/s]\n100%|██████████| 3/3 [00:02<00:00,  1.21it/s]\n100%|██████████| 3/3 [00:02<00:00,  1.21it/s]",
  "output": [
    "https://replicate.delivery/pbxt/Ayzb8PCuzrJrOpea8qG2bPe112n9dAacePCVvLxN7dDNg8viA/out-0.png",
    "https://replicate.delivery/pbxt/UUrskdfw4vy9C6CRgB8Tc2jGAf6sNqkr9QRRrAiHBr0HQeviA/out-1.png",
    "https://replicate.delivery/pbxt/kqarEsplITJBMF6a5BEiQgvLekTCxSqZf1usxpvmFnyHQeviA/out-2.png",
    "https://replicate.delivery/pbxt/v2cknLVYOnbRIFWqSv7fLXJ0I2y21A890KIMCh8nPSpDIfXRA/out-3.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-08-08T12:14:43.331121Z",
  "started_at": "2023-08-08T12:15:13.012715Z",
  "completed_at": "2023-08-08T12:16:07.978883Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/btkuistbhi2sxctpvzq4nzr6ym/cancel",
    "get": "https://api.replicate.com/v1/predictions/btkuistbhi2sxctpvzq4nzr6ym"
  },
  "metrics": {
    "predict_time": 54.966168,
    "total_time": 84.647762
  }
}

Generated in

55.0 seconds

Tweak it Report

Using seed: 9684 Prompt: An impasto painting in the style of <s0><s1>, neon, orange and cyan txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:01<00:46, 1.01s/it] 4%|▍ | 2/47 [00:02<00:45, 1.02s/it] 6%|▋ | 3/47 [00:03<00:44, 1.02s/it] 9%|▊ | 4/47 [00:04<00:43, 1.02s/it] 11%|█ | 5/47 [00:05<00:42, 1.02s/it] 13%|█▎ | 6/47 [00:06<00:41, 1.02s/it] 15%|█▍ | 7/47 [00:07<00:40, 1.02s/it] 17%|█▋ | 8/47 [00:08<00:39, 1.02s/it] 19%|█▉ | 9/47 [00:09<00:38, 1.02s/it] 21%|██▏ | 10/47 [00:10<00:37, 1.02s/it] 23%|██▎ | 11/47 [00:11<00:36, 1.02s/it] 26%|██▌ | 12/47 [00:12<00:35, 1.02s/it] 28%|██▊ | 13/47 [00:13<00:34, 1.02s/it] 30%|██▉ | 14/47 [00:14<00:33, 1.02s/it] 32%|███▏ | 15/47 [00:15<00:32, 1.02s/it] 34%|███▍ | 16/47 [00:16<00:31, 1.02s/it] 36%|███▌ | 17/47 [00:17<00:30, 1.02s/it] 38%|███▊ | 18/47 [00:18<00:29, 1.02s/it] 40%|████ | 19/47 [00:19<00:28, 1.02s/it] 43%|████▎ | 20/47 [00:20<00:27, 1.02s/it] 45%|████▍ | 21/47 [00:21<00:26, 1.02s/it] 47%|████▋ | 22/47 [00:22<00:25, 1.02s/it] 49%|████▉ | 23/47 [00:23<00:24, 1.02s/it] 51%|█████ | 24/47 [00:24<00:23, 1.02s/it] 53%|█████▎ | 25/47 [00:25<00:22, 1.02s/it] 55%|█████▌ | 26/47 [00:26<00:21, 1.02s/it] 57%|█████▋ | 27/47 [00:27<00:20, 1.02s/it] 60%|█████▉ | 28/47 [00:28<00:19, 1.02s/it] 62%|██████▏ | 29/47 [00:29<00:18, 1.02s/it] 64%|██████▍ | 30/47 [00:30<00:17, 1.02s/it] 66%|██████▌ | 31/47 [00:31<00:16, 1.02s/it] 68%|██████▊ | 32/47 [00:32<00:15, 1.02s/it] 70%|███████ | 33/47 [00:33<00:14, 1.02s/it] 72%|███████▏ | 34/47 [00:34<00:13, 1.02s/it] 74%|███████▍ | 35/47 [00:35<00:12, 1.02s/it] 77%|███████▋ | 36/47 [00:36<00:11, 1.02s/it] 79%|███████▊ | 37/47 [00:37<00:10, 1.02s/it] 81%|████████ | 38/47 [00:38<00:09, 1.02s/it] 83%|████████▎ | 39/47 [00:39<00:08, 1.02s/it] 85%|████████▌ | 40/47 [00:40<00:07, 1.02s/it] 87%|████████▋ | 41/47 [00:41<00:06, 1.02s/it] 89%|████████▉ | 42/47 [00:42<00:05, 1.02s/it] 91%|█████████▏| 43/47 [00:43<00:04, 1.02s/it] 94%|█████████▎| 44/47 [00:44<00:03, 1.02s/it] 96%|█████████▌| 45/47 [00:45<00:02, 1.02s/it] 98%|█████████▊| 46/47 [00:46<00:01, 1.02s/it] 100%|██████████| 47/47 [00:47<00:00, 1.02s/it] 100%|██████████| 47/47 [00:47<00:00, 1.02s/it] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.21it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.21it/s] 100%|██████████| 3/3 [00:02<00:00, 1.21it/s] 100%|██████████| 3/3 [00:02<00:00, 1.21it/s]