Prediction

Model

asiryan/2dn-xl:b2ace845

y38qeekvf9rj60ck8t5vpesn34

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

5.4s

Created

about 1 year ago

Webhook

–

Input

prompt: score_9, score_8_up, score_7_up, score_6_up, source_anime, masterpiece, newest, neutrofil land, cube, iridescent geometry, forest, reflections, sky, outdoors, landscape
negative_prompt: score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes
width: 1024
height: 1024
num_outputs: 1
scheduler: K_EULER_ANCESTRAL
num_inference_steps: 40
guidance_scale: 3.5
strength: 0.8
lora_scale: 0.6

{
  "guidance_scale": 3.5,
  "height": 1024,
  "lora_scale": 0.6,
  "negative_prompt": "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes",
  "num_inference_steps": 40,
  "num_outputs": 1,
  "prompt": "score_9, score_8_up, score_7_up, score_6_up, source_anime, masterpiece, newest, neutrofil land, cube, iridescent geometry, forest, reflections, sky, outdoors, landscape",
  "scheduler": "K_EULER_ANCESTRAL",
  "strength": 0.8,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_c3w**********************************

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 asiryan/2dn-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "asiryan/2dn-xl:b2ace84598c9fba90d498fdceb70506a36880464ec11c8e5dbf8008bcf325af4",
  {
    input: {
      guidance_scale: 3.5,
      height: 1024,
      lora_scale: 0.6,
      negative_prompt: "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes",
      num_inference_steps: 40,
      num_outputs: 1,
      prompt: "score_9, score_8_up, score_7_up, score_6_up, source_anime, masterpiece, newest, neutrofil land, cube, iridescent geometry, forest, reflections, sky, outdoors, landscape",
      scheduler: "K_EULER_ANCESTRAL",
      strength: 0.8,
      width: 1024
    }
  }
);

// 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_c3w**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run asiryan/2dn-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "asiryan/2dn-xl:b2ace84598c9fba90d498fdceb70506a36880464ec11c8e5dbf8008bcf325af4",
    input={
        "guidance_scale": 3.5,
        "height": 1024,
        "lora_scale": 0.6,
        "negative_prompt": "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes",
        "num_inference_steps": 40,
        "num_outputs": 1,
        "prompt": "score_9, score_8_up, score_7_up, score_6_up, source_anime, masterpiece, newest, neutrofil land, cube, iridescent geometry, forest, reflections, sky, outdoors, landscape",
        "scheduler": "K_EULER_ANCESTRAL",
        "strength": 0.8,
        "width": 1024
    }
)

# 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_c3w**********************************

This is your API token. Keep it to yourself.

Run asiryan/2dn-xl 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": "asiryan/2dn-xl:b2ace84598c9fba90d498fdceb70506a36880464ec11c8e5dbf8008bcf325af4",
    "input": {
      "guidance_scale": 3.5,
      "height": 1024,
      "lora_scale": 0.6,
      "negative_prompt": "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes",
      "num_inference_steps": 40,
      "num_outputs": 1,
      "prompt": "score_9, score_8_up, score_7_up, score_6_up, source_anime, masterpiece, newest, neutrofil land, cube, iridescent geometry, forest, reflections, sky, outdoors, landscape",
      "scheduler": "K_EULER_ANCESTRAL",
      "strength": 0.8,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "y38qeekvf9rj60ck8t5vpesn34",
  "model": "asiryan/2dn-xl",
  "version": "b2ace84598c9fba90d498fdceb70506a36880464ec11c8e5dbf8008bcf325af4",
  "input": {
    "guidance_scale": 3.5,
    "height": 1024,
    "lora_scale": 0.6,
    "negative_prompt": "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes",
    "num_inference_steps": 40,
    "num_outputs": 1,
    "prompt": "score_9, score_8_up, score_7_up, score_6_up, source_anime, masterpiece, newest, neutrofil land, cube, iridescent geometry, forest, reflections, sky, outdoors, landscape",
    "scheduler": "K_EULER_ANCESTRAL",
    "strength": 0.8,
    "width": 1024
  },
  "logs": "Using seed: 52478\nPrompt: score_9, score_8_up, score_7_up, score_6_up, source_anime, masterpiece, newest, neutrofil land, cube, iridescent geometry, forest, reflections, sky, outdoors, landscape\ntxt2img mode\n  0%|          | 0/40 [00:00<?, ?it/s]\n  5%|▌         | 2/40 [00:00<00:03, 11.62it/s]\n 10%|█         | 4/40 [00:00<00:03,  9.92it/s]\n 15%|█▌        | 6/40 [00:00<00:03,  9.49it/s]\n 18%|█▊        | 7/40 [00:00<00:03,  9.37it/s]\n 20%|██        | 8/40 [00:00<00:03,  9.27it/s]\n 22%|██▎       | 9/40 [00:00<00:03,  9.20it/s]\n 25%|██▌       | 10/40 [00:01<00:03,  9.15it/s]\n 28%|██▊       | 11/40 [00:01<00:03,  9.08it/s]\n 30%|███       | 12/40 [00:01<00:03,  9.04it/s]\n 32%|███▎      | 13/40 [00:01<00:02,  9.01it/s]\n 35%|███▌      | 14/40 [00:01<00:02,  9.01it/s]\n 38%|███▊      | 15/40 [00:01<00:02,  9.01it/s]\n 40%|████      | 16/40 [00:01<00:02,  8.99it/s]\n 42%|████▎     | 17/40 [00:01<00:02,  8.97it/s]\n 45%|████▌     | 18/40 [00:01<00:02,  8.96it/s]\n 48%|████▊     | 19/40 [00:02<00:02,  8.95it/s]\n 50%|█████     | 20/40 [00:02<00:02,  8.94it/s]\n 52%|█████▎    | 21/40 [00:02<00:02,  8.94it/s]\n 55%|█████▌    | 22/40 [00:02<00:02,  8.93it/s]\n 57%|█████▊    | 23/40 [00:02<00:01,  8.93it/s]\n 60%|██████    | 24/40 [00:02<00:01,  8.93it/s]\n 62%|██████▎   | 25/40 [00:02<00:01,  8.93it/s]\n 65%|██████▌   | 26/40 [00:02<00:01,  8.93it/s]\n 68%|██████▊   | 27/40 [00:02<00:01,  8.93it/s]\n 70%|███████   | 28/40 [00:03<00:01,  8.93it/s]\n 72%|███████▎  | 29/40 [00:03<00:01,  8.93it/s]\n 75%|███████▌  | 30/40 [00:03<00:01,  8.93it/s]\n 78%|███████▊  | 31/40 [00:03<00:01,  8.93it/s]\n 80%|████████  | 32/40 [00:03<00:00,  8.93it/s]\n 82%|████████▎ | 33/40 [00:03<00:00,  8.93it/s]\n 85%|████████▌ | 34/40 [00:03<00:00,  8.93it/s]\n 88%|████████▊ | 35/40 [00:03<00:00,  8.93it/s]\n 90%|█████████ | 36/40 [00:03<00:00,  8.93it/s]\n 92%|█████████▎| 37/40 [00:04<00:00,  8.93it/s]\n 95%|█████████▌| 38/40 [00:04<00:00,  8.92it/s]\n 98%|█████████▊| 39/40 [00:04<00:00,  8.92it/s]\n100%|██████████| 40/40 [00:04<00:00,  8.93it/s]\n100%|██████████| 40/40 [00:04<00:00,  9.05it/s]",
  "output": [
    "https://replicate.delivery/yhqm/HSIG9fNJQ4WfgkVMDAZZU8Ee6TWcChNd83WL7kB5lFtXaYlnA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-11-19T22:29:26.522Z",
  "started_at": "2024-11-19T22:29:26.536934Z",
  "completed_at": "2024-11-19T22:29:31.938943Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/y38qeekvf9rj60ck8t5vpesn34/cancel",
    "get": "https://api.replicate.com/v1/predictions/y38qeekvf9rj60ck8t5vpesn34",
    "stream": "https://stream.replicate.com/v1/files/qoxq-v55wav4bt7j5it2knz6a26z2er3ohlxpovz7tntoge5xnnirafla",
    "web": "https://replicate.com/p/y38qeekvf9rj60ck8t5vpesn34"
  },
  "metrics": {
    "predict_time": 5.402008228,
    "total_time": 5.416943
  }
}

Generated in

5.4 seconds

Tweak it Report

Using seed: 52478 Prompt: score_9, score_8_up, score_7_up, score_6_up, source_anime, masterpiece, newest, neutrofil land, cube, iridescent geometry, forest, reflections, sky, outdoors, landscape txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 5%|▌ | 2/40 [00:00<00:03, 11.62it/s] 10%|█ | 4/40 [00:00<00:03, 9.92it/s] 15%|█▌ | 6/40 [00:00<00:03, 9.49it/s] 18%|█▊ | 7/40 [00:00<00:03, 9.37it/s] 20%|██ | 8/40 [00:00<00:03, 9.27it/s] 22%|██▎ | 9/40 [00:00<00:03, 9.20it/s] 25%|██▌ | 10/40 [00:01<00:03, 9.15it/s] 28%|██▊ | 11/40 [00:01<00:03, 9.08it/s] 30%|███ | 12/40 [00:01<00:03, 9.04it/s] 32%|███▎ | 13/40 [00:01<00:02, 9.01it/s] 35%|███▌ | 14/40 [00:01<00:02, 9.01it/s] 38%|███▊ | 15/40 [00:01<00:02, 9.01it/s] 40%|████ | 16/40 [00:01<00:02, 8.99it/s] 42%|████▎ | 17/40 [00:01<00:02, 8.97it/s] 45%|████▌ | 18/40 [00:01<00:02, 8.96it/s] 48%|████▊ | 19/40 [00:02<00:02, 8.95it/s] 50%|█████ | 20/40 [00:02<00:02, 8.94it/s] 52%|█████▎ | 21/40 [00:02<00:02, 8.94it/s] 55%|█████▌ | 22/40 [00:02<00:02, 8.93it/s] 57%|█████▊ | 23/40 [00:02<00:01, 8.93it/s] 60%|██████ | 24/40 [00:02<00:01, 8.93it/s] 62%|██████▎ | 25/40 [00:02<00:01, 8.93it/s] 65%|██████▌ | 26/40 [00:02<00:01, 8.93it/s] 68%|██████▊ | 27/40 [00:02<00:01, 8.93it/s] 70%|███████ | 28/40 [00:03<00:01, 8.93it/s] 72%|███████▎ | 29/40 [00:03<00:01, 8.93it/s] 75%|███████▌ | 30/40 [00:03<00:01, 8.93it/s] 78%|███████▊ | 31/40 [00:03<00:01, 8.93it/s] 80%|████████ | 32/40 [00:03<00:00, 8.93it/s] 82%|████████▎ | 33/40 [00:03<00:00, 8.93it/s] 85%|████████▌ | 34/40 [00:03<00:00, 8.93it/s] 88%|████████▊ | 35/40 [00:03<00:00, 8.93it/s] 90%|█████████ | 36/40 [00:03<00:00, 8.93it/s] 92%|█████████▎| 37/40 [00:04<00:00, 8.93it/s] 95%|█████████▌| 38/40 [00:04<00:00, 8.92it/s] 98%|█████████▊| 39/40 [00:04<00:00, 8.92it/s] 100%|██████████| 40/40 [00:04<00:00, 8.93it/s] 100%|██████████| 40/40 [00:04<00:00, 9.05it/s]