Prediction

Model

moayedhajiali/elasticdiffusion:bddc0936

3o3quz3bq67inbfoyg7odf7g4u

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

7m 28s

Created

almost 2 years ago

Webhook

–

Input

prompt: Envision a portrait of a cute cat, her face is framed by a blue headscarf with muted tones of rust and cream. Her eyes are blue like faded denim. Her attire, simple yet dignified
negative_prompts: blurry, ugly, poorly drawn, deformed
img_width: 1080
img_height: 1920
resampling_steps: 7
resampling_new_p: 0.3
rrg_scale: 1000
guidance_scale: 10
cosine_scale: 10
view_batch_size: 16
num_inference_steps: 50
seed: 0

{
  "cosine_scale": 10,
  "guidance_scale": 10,
  "img_height": 1920,
  "img_width": 1080,
  "negative_prompts": "blurry, ugly, poorly drawn, deformed",
  "num_inference_steps": 50,
  "prompt": "Envision a portrait of a cute cat, her face is framed by a blue headscarf with muted tones of rust and cream. Her eyes are blue like faded denim. Her attire, simple yet dignified",
  "resampling_new_p": 0.3,
  "resampling_steps": 7,
  "rrg_scale": 1000,
  "seed": 0,
  "view_batch_size": 16
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_DZD**********************************

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

const output = await replicate.run(
  "moayedhajiali/elasticdiffusion:bddc09369f9e622518f6d11daff26723a513714e08830ed053660d8ac44ffe88",
  {
    input: {
      cosine_scale: 10,
      guidance_scale: 10,
      img_height: 1920,
      img_width: 1080,
      negative_prompts: "blurry, ugly, poorly drawn, deformed",
      num_inference_steps: 50,
      prompt: "Envision a portrait of a cute cat, her face is framed by a blue headscarf with muted tones of rust and cream. Her eyes are blue like faded denim. Her attire, simple yet dignified",
      resampling_new_p: 0.3,
      resampling_steps: 7,
      rrg_scale: 1000,
      seed: 0,
      view_batch_size: 16
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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_DZD**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "moayedhajiali/elasticdiffusion:bddc09369f9e622518f6d11daff26723a513714e08830ed053660d8ac44ffe88",
    input={
        "cosine_scale": 10,
        "guidance_scale": 10,
        "img_height": 1920,
        "img_width": 1080,
        "negative_prompts": "blurry, ugly, poorly drawn, deformed",
        "num_inference_steps": 50,
        "prompt": "Envision a portrait of a cute cat, her face is framed by a blue headscarf with muted tones of rust and cream. Her eyes are blue like faded denim. Her attire, simple yet dignified",
        "resampling_new_p": 0.3,
        "resampling_steps": 7,
        "rrg_scale": 1000,
        "seed": 0,
        "view_batch_size": 16
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.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_DZD**********************************

This is your API token. Keep it to yourself.

Run moayedhajiali/elasticdiffusion 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": "moayedhajiali/elasticdiffusion:bddc09369f9e622518f6d11daff26723a513714e08830ed053660d8ac44ffe88",
    "input": {
      "cosine_scale": 10,
      "guidance_scale": 10,
      "img_height": 1920,
      "img_width": 1080,
      "negative_prompts": "blurry, ugly, poorly drawn, deformed",
      "num_inference_steps": 50,
      "prompt": "Envision a portrait of a cute cat, her face is framed by a blue headscarf with muted tones of rust and cream. Her eyes are blue like faded denim. Her attire, simple yet dignified",
      "resampling_new_p": 0.3,
      "resampling_steps": 7,
      "rrg_scale": 1000,
      "seed": 0,
      "view_batch_size": 16
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "3o3quz3bq67inbfoyg7odf7g4u",
  "model": "moayedhajiali/elasticdiffusion",
  "version": "bddc09369f9e622518f6d11daff26723a513714e08830ed053660d8ac44ffe88",
  "input": {
    "cosine_scale": 10,
    "guidance_scale": 10,
    "img_height": 1920,
    "img_width": 1080,
    "negative_prompts": "blurry, ugly, poorly drawn, deformed",
    "num_inference_steps": 50,
    "prompt": "Envision a portrait of a cute cat, her face is framed by a blue headscarf with muted tones of rust and cream. Her eyes are blue like faded denim. Her attire, simple yet dignified",
    "resampling_new_p": 0.3,
    "resampling_steps": 7,
    "rrg_scale": 1000,
    "seed": 0,
    "view_batch_size": 16
  },
  "logs": "0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:08<07:19,  8.97s/it]\n  4%|▍         | 2/50 [00:17<07:09,  8.94s/it]\n  6%|▌         | 3/50 [00:26<06:59,  8.93s/it]\n  8%|▊         | 4/50 [00:35<06:51,  8.95s/it]\n 10%|█         | 5/50 [00:44<06:42,  8.94s/it]\n 12%|█▏        | 6/50 [00:53<06:33,  8.94s/it]\n 14%|█▍        | 7/50 [01:02<06:24,  8.94s/it]\n 16%|█▌        | 8/50 [01:11<06:15,  8.94s/it]\n 18%|█▊        | 9/50 [01:20<06:06,  8.94s/it]\n 20%|██        | 10/50 [01:29<05:57,  8.94s/it]\n 22%|██▏       | 11/50 [01:38<05:48,  8.94s/it]\n 24%|██▍       | 12/50 [01:47<05:39,  8.94s/it]\n 26%|██▌       | 13/50 [01:56<05:30,  8.94s/it]\n 28%|██▊       | 14/50 [02:05<05:21,  8.94s/it]\n 30%|███       | 15/50 [02:14<05:12,  8.94s/it]\n 32%|███▏      | 16/50 [02:23<05:04,  8.94s/it]\n 34%|███▍      | 17/50 [02:32<04:55,  8.95s/it]\n 36%|███▌      | 18/50 [02:40<04:46,  8.94s/it]\n 38%|███▊      | 19/50 [02:49<04:37,  8.94s/it]\n 40%|████      | 20/50 [02:58<04:28,  8.94s/it]\n 42%|████▏     | 21/50 [03:07<04:19,  8.95s/it]\n 44%|████▍     | 22/50 [03:16<04:10,  8.95s/it]\n 46%|████▌     | 23/50 [03:25<04:01,  8.96s/it]\n 48%|████▊     | 24/50 [03:34<03:53,  8.97s/it]\n 50%|█████     | 25/50 [03:43<03:44,  8.97s/it]\n 52%|█████▏    | 26/50 [03:52<03:35,  8.96s/it]\n 54%|█████▍    | 27/50 [04:01<03:25,  8.96s/it]\n 56%|█████▌    | 28/50 [04:10<03:17,  8.96s/it]\n 58%|█████▊    | 29/50 [04:19<03:08,  8.96s/it]\n 60%|██████    | 30/50 [04:28<02:59,  8.96s/it]\n 62%|██████▏   | 31/50 [04:37<02:50,  8.96s/it]\n 64%|██████▍   | 32/50 [04:46<02:41,  8.96s/it]\n 66%|██████▌   | 33/50 [04:55<02:32,  8.96s/it]\n 68%|██████▊   | 34/50 [05:04<02:23,  8.97s/it]\n 70%|███████   | 35/50 [05:13<02:14,  8.96s/it]\n 72%|███████▏  | 36/50 [05:22<02:05,  8.96s/it]\n 74%|███████▍  | 37/50 [05:31<01:56,  8.97s/it]\n 76%|███████▌  | 38/50 [05:40<01:47,  8.97s/it]\n 78%|███████▊  | 39/50 [05:49<01:38,  8.96s/it]\n 80%|████████  | 40/50 [05:58<01:29,  8.97s/it]\n 82%|████████▏ | 41/50 [06:07<01:20,  8.97s/it]\n 84%|████████▍ | 42/50 [06:16<01:11,  8.96s/it]\n 86%|████████▌ | 43/50 [06:25<01:02,  8.97s/it]\n 88%|████████▊ | 44/50 [06:33<00:53,  8.96s/it]\n 90%|█████████ | 45/50 [06:42<00:44,  8.96s/it]\n 92%|█████████▏| 46/50 [06:51<00:35,  8.96s/it]\n 94%|█████████▍| 47/50 [07:00<00:26,  8.97s/it]\n 96%|█████████▌| 48/50 [07:09<00:17,  8.96s/it]\n 98%|█████████▊| 49/50 [07:18<00:08,  8.97s/it]\n100%|██████████| 50/50 [07:24<00:00,  8.13s/it]\n100%|██████████| 50/50 [07:24<00:00,  8.90s/it]\n[INFO] Time taken: 445.8617935180664 seconds.",
  "output": "https://replicate.delivery/pbxt/cyVqzroYFOaqFdGKQes0HfkoRVfNrA4yA4hfS9KByeYBib0QC/result.png",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-12-27T20:04:33.339639Z",
  "started_at": "2023-12-27T20:04:33.40139Z",
  "completed_at": "2023-12-27T20:12:01.223536Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/3o3quz3bq67inbfoyg7odf7g4u/cancel",
    "get": "https://api.replicate.com/v1/predictions/3o3quz3bq67inbfoyg7odf7g4u"
  },
  "metrics": {
    "predict_time": 447.822146,
    "total_time": 447.883897
  }
}

Generated in

7 minutes 28 seconds

Tweak it Report

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