Prediction

Model

replicategithubwc/neurogen:f15d6db1

t3mtzt3bhufkuxml6c23l7fj7i

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

2m 42s

Created

over 2 years ago

Webhook

–

Input

prompt: a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski
negative_prompt: easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)
width: 768
height: 768
num_outputs: 4
num_inference_steps: 50
guidance_scale: 7.5
scheduler: DPMSolverMultistep

{
  "guidance_scale": 7.5,
  "height": 768,
  "negative_prompt": "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
  "num_inference_steps": 50,
  "num_outputs": 4,
  "prompt": "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
  "scheduler": "DPMSolverMultistep",
  "width": 768
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_LpX**********************************

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

const output = await replicate.run(
  "replicategithubwc/neurogen:f15d6db140af400ccb7b0835856b66b7d36cbbcdadf3f9e1f109e0b1048bc5f7",
  {
    input: {
      guidance_scale: 7.5,
      height: 768,
      negative_prompt: "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
      num_inference_steps: 50,
      num_outputs: 4,
      prompt: "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
      scheduler: "DPMSolverMultistep",
      width: 768
    }
  }
);

// 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_LpX**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "replicategithubwc/neurogen:f15d6db140af400ccb7b0835856b66b7d36cbbcdadf3f9e1f109e0b1048bc5f7",
    input={
        "guidance_scale": 7.5,
        "height": 768,
        "negative_prompt": "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
        "num_inference_steps": 50,
        "num_outputs": 4,
        "prompt": "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
        "scheduler": "DPMSolverMultistep",
        "width": 768
    }
)

# 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_LpX**********************************

This is your API token. Keep it to yourself.

Run replicategithubwc/neurogen 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": "replicategithubwc/neurogen:f15d6db140af400ccb7b0835856b66b7d36cbbcdadf3f9e1f109e0b1048bc5f7",
    "input": {
      "guidance_scale": 7.5,
      "height": 768,
      "negative_prompt": "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
      "num_inference_steps": 50,
      "num_outputs": 4,
      "prompt": "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
      "scheduler": "DPMSolverMultistep",
      "width": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "t3mtzt3bhufkuxml6c23l7fj7i",
  "model": "replicategithubwc/neurogen",
  "version": "f15d6db140af400ccb7b0835856b66b7d36cbbcdadf3f9e1f109e0b1048bc5f7",
  "input": {
    "guidance_scale": 7.5,
    "height": 768,
    "negative_prompt": "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
    "num_inference_steps": 50,
    "num_outputs": 4,
    "prompt": "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
    "scheduler": "DPMSolverMultistep",
    "width": 768
  },
  "logs": "Using seed: 35884\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:01<01:18,  1.59s/it]\n  4%|▍         | 2/50 [00:02<01:02,  1.30s/it]\n  6%|▌         | 3/50 [00:03<00:56,  1.20s/it]\n  8%|▊         | 4/50 [00:04<00:53,  1.16s/it]\n 10%|█         | 5/50 [00:05<00:51,  1.14s/it]\n 12%|█▏        | 6/50 [00:07<00:49,  1.12s/it]\n 14%|█▍        | 7/50 [00:08<00:47,  1.11s/it]\n 16%|█▌        | 8/50 [00:09<00:46,  1.11s/it]\n 18%|█▊        | 9/50 [00:10<00:45,  1.10s/it]\n 20%|██        | 10/50 [00:11<00:43,  1.10s/it]\n 22%|██▏       | 11/50 [00:12<00:42,  1.10s/it]\n 24%|██▍       | 12/50 [00:13<00:41,  1.10s/it]\n 26%|██▌       | 13/50 [00:14<00:40,  1.10s/it]\n 28%|██▊       | 14/50 [00:15<00:39,  1.10s/it]\n 30%|███       | 15/50 [00:16<00:38,  1.09s/it]\n 32%|███▏      | 16/50 [00:17<00:37,  1.09s/it]\n 34%|███▍      | 17/50 [00:19<00:36,  1.09s/it]\n 36%|███▌      | 18/50 [00:20<00:35,  1.09s/it]\n 38%|███▊      | 19/50 [00:21<00:33,  1.09s/it]\n 40%|████      | 20/50 [00:22<00:32,  1.10s/it]\n 42%|████▏     | 21/50 [00:23<00:31,  1.10s/it]\n 44%|████▍     | 22/50 [00:24<00:30,  1.10s/it]\n 46%|████▌     | 23/50 [00:25<00:29,  1.10s/it]\n 48%|████▊     | 24/50 [00:26<00:28,  1.10s/it]\n 50%|█████     | 25/50 [00:27<00:27,  1.10s/it]\n 52%|█████▏    | 26/50 [00:28<00:26,  1.10s/it]\n 54%|█████▍    | 27/50 [00:30<00:25,  1.10s/it]\n 56%|█████▌    | 28/50 [00:31<00:24,  1.10s/it]\n 58%|█████▊    | 29/50 [00:32<00:23,  1.10s/it]\n 60%|██████    | 30/50 [00:33<00:21,  1.10s/it]\n 62%|██████▏   | 31/50 [00:34<00:20,  1.10s/it]\n 64%|██████▍   | 32/50 [00:35<00:19,  1.10s/it]\n 66%|██████▌   | 33/50 [00:36<00:18,  1.10s/it]\n 68%|██████▊   | 34/50 [00:37<00:17,  1.10s/it]\n 70%|███████   | 35/50 [00:38<00:16,  1.10s/it]\n 72%|███████▏  | 36/50 [00:39<00:15,  1.10s/it]\n 74%|███████▍  | 37/50 [00:41<00:14,  1.10s/it]\n 76%|███████▌  | 38/50 [00:42<00:13,  1.10s/it]\n 78%|███████▊  | 39/50 [00:43<00:12,  1.10s/it]\n 80%|████████  | 40/50 [00:44<00:10,  1.10s/it]\n 82%|████████▏ | 41/50 [00:45<00:09,  1.10s/it]\n 84%|████████▍ | 42/50 [00:46<00:08,  1.10s/it]\n 86%|████████▌ | 43/50 [00:47<00:07,  1.10s/it]\n 88%|████████▊ | 44/50 [00:48<00:06,  1.10s/it]\n 90%|█████████ | 45/50 [00:49<00:05,  1.10s/it]\n 92%|█████████▏| 46/50 [00:50<00:04,  1.10s/it]\n 94%|█████████▍| 47/50 [00:51<00:03,  1.10s/it]\n 96%|█████████▌| 48/50 [00:53<00:02,  1.10s/it]\n 98%|█████████▊| 49/50 [00:54<00:01,  1.10s/it]\n100%|██████████| 50/50 [00:55<00:00,  1.10s/it]\n100%|██████████| 50/50 [00:55<00:00,  1.11s/it]",
  "output": [
    "https://replicate.delivery/pbxt/wPuQNFVbF4ozAVlq6cyPorkWetQeq21jddc6f3i3lLgE4diiA/out-0.png",
    "https://replicate.delivery/pbxt/vE2qDCrpXmoECFqnOU2I4z8wQscIHQcepcRJfk8cUUdD8ORRA/out-1.png",
    "https://replicate.delivery/pbxt/WE440kYlT6avPdZRifofAHSEcK6fpHCPeGjEQysb6CzQw7EFB/out-2.png",
    "https://replicate.delivery/pbxt/3eoFhwTNwTVPYCZv4NvACLWZPM6vPBFIOx8fm79fyF6I4diiA/out-3.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-07-19T01:29:06.747016Z",
  "started_at": "2023-07-19T01:30:49.102639Z",
  "completed_at": "2023-07-19T01:31:49.212541Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/t3mtzt3bhufkuxml6c23l7fj7i/cancel",
    "get": "https://api.replicate.com/v1/predictions/t3mtzt3bhufkuxml6c23l7fj7i"
  },
  "metrics": {
    "predict_time": 60.109902,
    "total_time": 162.465525
  }
}

Generated in

60.1 seconds

Tweak it Report

Using seed: 35884 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:18, 1.59s/it] 4%|▍ | 2/50 [00:02<01:02, 1.30s/it] 6%|▌ | 3/50 [00:03<00:56, 1.20s/it] 8%|▊ | 4/50 [00:04<00:53, 1.16s/it] 10%|█ | 5/50 [00:05<00:51, 1.14s/it] 12%|█▏ | 6/50 [00:07<00:49, 1.12s/it] 14%|█▍ | 7/50 [00:08<00:47, 1.11s/it] 16%|█▌ | 8/50 [00:09<00:46, 1.11s/it] 18%|█▊ | 9/50 [00:10<00:45, 1.10s/it] 20%|██ | 10/50 [00:11<00:43, 1.10s/it] 22%|██▏ | 11/50 [00:12<00:42, 1.10s/it] 24%|██▍ | 12/50 [00:13<00:41, 1.10s/it] 26%|██▌ | 13/50 [00:14<00:40, 1.10s/it] 28%|██▊ | 14/50 [00:15<00:39, 1.10s/it] 30%|███ | 15/50 [00:16<00:38, 1.09s/it] 32%|███▏ | 16/50 [00:17<00:37, 1.09s/it] 34%|███▍ | 17/50 [00:19<00:36, 1.09s/it] 36%|███▌ | 18/50 [00:20<00:35, 1.09s/it] 38%|███▊ | 19/50 [00:21<00:33, 1.09s/it] 40%|████ | 20/50 [00:22<00:32, 1.10s/it] 42%|████▏ | 21/50 [00:23<00:31, 1.10s/it] 44%|████▍ | 22/50 [00:24<00:30, 1.10s/it] 46%|████▌ | 23/50 [00:25<00:29, 1.10s/it] 48%|████▊ | 24/50 [00:26<00:28, 1.10s/it] 50%|█████ | 25/50 [00:27<00:27, 1.10s/it] 52%|█████▏ | 26/50 [00:28<00:26, 1.10s/it] 54%|█████▍ | 27/50 [00:30<00:25, 1.10s/it] 56%|█████▌ | 28/50 [00:31<00:24, 1.10s/it] 58%|█████▊ | 29/50 [00:32<00:23, 1.10s/it] 60%|██████ | 30/50 [00:33<00:21, 1.10s/it] 62%|██████▏ | 31/50 [00:34<00:20, 1.10s/it] 64%|██████▍ | 32/50 [00:35<00:19, 1.10s/it] 66%|██████▌ | 33/50 [00:36<00:18, 1.10s/it] 68%|██████▊ | 34/50 [00:37<00:17, 1.10s/it] 70%|███████ | 35/50 [00:38<00:16, 1.10s/it] 72%|███████▏ | 36/50 [00:39<00:15, 1.10s/it] 74%|███████▍ | 37/50 [00:41<00:14, 1.10s/it] 76%|███████▌ | 38/50 [00:42<00:13, 1.10s/it] 78%|███████▊ | 39/50 [00:43<00:12, 1.10s/it] 80%|████████ | 40/50 [00:44<00:10, 1.10s/it] 82%|████████▏ | 41/50 [00:45<00:09, 1.10s/it] 84%|████████▍ | 42/50 [00:46<00:08, 1.10s/it] 86%|████████▌ | 43/50 [00:47<00:07, 1.10s/it] 88%|████████▊ | 44/50 [00:48<00:06, 1.10s/it] 90%|█████████ | 45/50 [00:49<00:05, 1.10s/it] 92%|█████████▏| 46/50 [00:50<00:04, 1.10s/it] 94%|█████████▍| 47/50 [00:51<00:03, 1.10s/it] 96%|█████████▌| 48/50 [00:53<00:02, 1.10s/it] 98%|█████████▊| 49/50 [00:54<00:01, 1.10s/it] 100%|██████████| 50/50 [00:55<00:00, 1.10s/it] 100%|██████████| 50/50 [00:55<00:00, 1.11s/it]