Prediction

Model

ai-forever/kandinsky-2-1:a768f3c2

ryhrl4slzbd3jhxtz5ar5nd24u

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

7.8s

Created

over 2 years ago by chenxwh

Webhook

–

Input

task: text2img
prompt: A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting
negative_prompt: low quality, bad quality
strength: 0.3
width: 768
height: 768
num_outputs: 1
num_steps_prior: 25
num_inference_steps: 100
guidance_scale: 1

{
  "guidance_scale": 1,
  "height": 768,
  "negative_prompt": "low quality, bad quality",
  "num_inference_steps": 100,
  "num_outputs": 1,
  "num_steps_prior": 25,
  "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
  "strength": 0.3,
  "task": "text2img",
  "width": 768
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_6mZ**********************************

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 ai-forever/kandinsky-2-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "ai-forever/kandinsky-2-1:a768f3c2e174c54b576cc4f222e789e161160403d0cd0ace41eeb9a0f8c8d5f8",
  {
    input: {
      guidance_scale: 1,
      height: 768,
      negative_prompt: "low quality, bad quality",
      num_inference_steps: 100,
      num_outputs: 1,
      num_steps_prior: 25,
      prompt: "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
      strength: 0.3,
      task: "text2img",
      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_6mZ**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run ai-forever/kandinsky-2-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "ai-forever/kandinsky-2-1:a768f3c2e174c54b576cc4f222e789e161160403d0cd0ace41eeb9a0f8c8d5f8",
    input={
        "guidance_scale": 1,
        "height": 768,
        "negative_prompt": "low quality, bad quality",
        "num_inference_steps": 100,
        "num_outputs": 1,
        "num_steps_prior": 25,
        "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
        "strength": 0.3,
        "task": "text2img",
        "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_6mZ**********************************

This is your API token. Keep it to yourself.

Run ai-forever/kandinsky-2-1 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": "ai-forever/kandinsky-2-1:a768f3c2e174c54b576cc4f222e789e161160403d0cd0ace41eeb9a0f8c8d5f8",
    "input": {
      "guidance_scale": 1,
      "height": 768,
      "negative_prompt": "low quality, bad quality",
      "num_inference_steps": 100,
      "num_outputs": 1,
      "num_steps_prior": 25,
      "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
      "strength": 0.3,
      "task": "text2img",
      "width": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "ryhrl4slzbd3jhxtz5ar5nd24u",
  "model": "ai-forever/kandinsky-2-1",
  "version": "a768f3c2e174c54b576cc4f222e789e161160403d0cd0ace41eeb9a0f8c8d5f8",
  "input": {
    "guidance_scale": 1,
    "height": 768,
    "negative_prompt": "low quality, bad quality",
    "num_inference_steps": 100,
    "num_outputs": 1,
    "num_steps_prior": 25,
    "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
    "strength": 0.3,
    "task": "text2img",
    "width": 768
  },
  "logs": "Using seed: 9578\n  0%|          | 0/25 [00:00<?, ?it/s]\n 20%|██        | 5/25 [00:00<00:00, 45.87it/s]\n 40%|████      | 10/25 [00:00<00:00, 46.46it/s]\n 60%|██████    | 15/25 [00:00<00:00, 44.90it/s]\n 80%|████████  | 20/25 [00:00<00:00, 46.28it/s]\n100%|██████████| 25/25 [00:00<00:00, 47.07it/s]\n100%|██████████| 25/25 [00:00<00:00, 46.49it/s]\n  0%|          | 0/100 [00:00<?, ?it/s]\n  2%|▏         | 2/100 [00:00<00:06, 15.23it/s]\n  4%|▍         | 4/100 [00:00<00:06, 15.72it/s]\n  6%|▌         | 6/100 [00:00<00:05, 16.19it/s]\n  8%|▊         | 8/100 [00:00<00:05, 16.23it/s]\n 10%|█         | 10/100 [00:00<00:05, 16.41it/s]\n 12%|█▏        | 12/100 [00:00<00:05, 16.39it/s]\n 14%|█▍        | 14/100 [00:00<00:05, 16.24it/s]\n 16%|█▌        | 16/100 [00:00<00:05, 16.33it/s]\n 18%|█▊        | 18/100 [00:01<00:05, 16.17it/s]\n 20%|██        | 20/100 [00:01<00:04, 16.32it/s]\n 22%|██▏       | 22/100 [00:01<00:04, 16.41it/s]\n 24%|██▍       | 24/100 [00:01<00:04, 16.50it/s]\n 26%|██▌       | 26/100 [00:01<00:04, 16.57it/s]\n 28%|██▊       | 28/100 [00:01<00:04, 16.57it/s]\n 30%|███       | 30/100 [00:01<00:04, 16.53it/s]\n 32%|███▏      | 32/100 [00:01<00:04, 16.60it/s]\n 34%|███▍      | 34/100 [00:02<00:04, 16.42it/s]\n 36%|███▌      | 36/100 [00:02<00:03, 16.50it/s]\n 38%|███▊      | 38/100 [00:02<00:03, 16.48it/s]\n 40%|████      | 40/100 [00:02<00:03, 16.51it/s]\n 42%|████▏     | 42/100 [00:02<00:03, 16.55it/s]\n 44%|████▍     | 44/100 [00:02<00:03, 16.48it/s]\n 46%|████▌     | 46/100 [00:02<00:03, 16.49it/s]\n 48%|████▊     | 48/100 [00:02<00:03, 16.54it/s]\n 50%|█████     | 50/100 [00:03<00:03, 16.43it/s]\n 52%|█████▏    | 52/100 [00:03<00:02, 16.45it/s]\n 54%|█████▍    | 54/100 [00:03<00:02, 16.34it/s]\n 56%|█████▌    | 56/100 [00:03<00:02, 16.40it/s]\n 58%|█████▊    | 58/100 [00:03<00:02, 16.42it/s]\n 60%|██████    | 60/100 [00:03<00:02, 16.48it/s]\n 62%|██████▏   | 62/100 [00:03<00:02, 16.49it/s]\n 64%|██████▍   | 64/100 [00:03<00:02, 16.51it/s]\n 66%|██████▌   | 66/100 [00:04<00:02, 16.48it/s]\n 68%|██████▊   | 68/100 [00:04<00:01, 16.40it/s]\n 70%|███████   | 70/100 [00:04<00:01, 16.45it/s]\n 72%|███████▏  | 72/100 [00:04<00:01, 16.55it/s]\n 74%|███████▍  | 74/100 [00:04<00:01, 16.63it/s]\n 76%|███████▌  | 76/100 [00:04<00:01, 16.70it/s]\n 78%|███████▊  | 78/100 [00:04<00:01, 16.60it/s]\n 80%|████████  | 80/100 [00:04<00:01, 16.59it/s]\n 82%|████████▏ | 82/100 [00:04<00:01, 16.69it/s]\n 84%|████████▍ | 84/100 [00:05<00:00, 16.68it/s]\n 86%|████████▌ | 86/100 [00:05<00:00, 16.74it/s]\n 88%|████████▊ | 88/100 [00:05<00:00, 16.77it/s]\n 90%|█████████ | 90/100 [00:05<00:00, 16.46it/s]\n 92%|█████████▏| 92/100 [00:05<00:00, 16.58it/s]\n 94%|█████████▍| 94/100 [00:05<00:00, 16.55it/s]\n 96%|█████████▌| 96/100 [00:05<00:00, 16.65it/s]\n 98%|█████████▊| 98/100 [00:05<00:00, 16.67it/s]\n100%|██████████| 100/100 [00:06<00:00, 16.63it/s]\n100%|██████████| 100/100 [00:06<00:00, 16.49it/s]",
  "output": [
    "https://replicate.delivery/pbxt/aOZ4ywUeyeiyqEz5l7lixq0e5rAbs3qTStetOGXNKZd4g6QEB/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-06-09T14:32:39.014305Z",
  "started_at": "2023-06-09T14:32:38.982333Z",
  "completed_at": "2023-06-09T14:32:46.808598Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/ryhrl4slzbd3jhxtz5ar5nd24u/cancel",
    "get": "https://api.replicate.com/v1/predictions/ryhrl4slzbd3jhxtz5ar5nd24u"
  },
  "metrics": {
    "predict_time": 7.826265,
    "total_time": 7.794293
  }
}

Generated in

7.8 seconds

Tweak it Report

Using seed: 9578 0%| | 0/25 [00:00<?, ?it/s] 20%|██ | 5/25 [00:00<00:00, 45.87it/s] 40%|████ | 10/25 [00:00<00:00, 46.46it/s] 60%|██████ | 15/25 [00:00<00:00, 44.90it/s] 80%|████████ | 20/25 [00:00<00:00, 46.28it/s] 100%|██████████| 25/25 [00:00<00:00, 47.07it/s] 100%|██████████| 25/25 [00:00<00:00, 46.49it/s] 0%| | 0/100 [00:00<?, ?it/s] 2%|▏ | 2/100 [00:00<00:06, 15.23it/s] 4%|▍ | 4/100 [00:00<00:06, 15.72it/s] 6%|▌ | 6/100 [00:00<00:05, 16.19it/s] 8%|▊ | 8/100 [00:00<00:05, 16.23it/s] 10%|█ | 10/100 [00:00<00:05, 16.41it/s] 12%|█▏ | 12/100 [00:00<00:05, 16.39it/s] 14%|█▍ | 14/100 [00:00<00:05, 16.24it/s] 16%|█▌ | 16/100 [00:00<00:05, 16.33it/s] 18%|█▊ | 18/100 [00:01<00:05, 16.17it/s] 20%|██ | 20/100 [00:01<00:04, 16.32it/s] 22%|██▏ | 22/100 [00:01<00:04, 16.41it/s] 24%|██▍ | 24/100 [00:01<00:04, 16.50it/s] 26%|██▌ | 26/100 [00:01<00:04, 16.57it/s] 28%|██▊ | 28/100 [00:01<00:04, 16.57it/s] 30%|███ | 30/100 [00:01<00:04, 16.53it/s] 32%|███▏ | 32/100 [00:01<00:04, 16.60it/s] 34%|███▍ | 34/100 [00:02<00:04, 16.42it/s] 36%|███▌ | 36/100 [00:02<00:03, 16.50it/s] 38%|███▊ | 38/100 [00:02<00:03, 16.48it/s] 40%|████ | 40/100 [00:02<00:03, 16.51it/s] 42%|████▏ | 42/100 [00:02<00:03, 16.55it/s] 44%|████▍ | 44/100 [00:02<00:03, 16.48it/s] 46%|████▌ | 46/100 [00:02<00:03, 16.49it/s] 48%|████▊ | 48/100 [00:02<00:03, 16.54it/s] 50%|█████ | 50/100 [00:03<00:03, 16.43it/s] 52%|█████▏ | 52/100 [00:03<00:02, 16.45it/s] 54%|█████▍ | 54/100 [00:03<00:02, 16.34it/s] 56%|█████▌ | 56/100 [00:03<00:02, 16.40it/s] 58%|█████▊ | 58/100 [00:03<00:02, 16.42it/s] 60%|██████ | 60/100 [00:03<00:02, 16.48it/s] 62%|██████▏ | 62/100 [00:03<00:02, 16.49it/s] 64%|██████▍ | 64/100 [00:03<00:02, 16.51it/s] 66%|██████▌ | 66/100 [00:04<00:02, 16.48it/s] 68%|██████▊ | 68/100 [00:04<00:01, 16.40it/s] 70%|███████ | 70/100 [00:04<00:01, 16.45it/s] 72%|███████▏ | 72/100 [00:04<00:01, 16.55it/s] 74%|███████▍ | 74/100 [00:04<00:01, 16.63it/s] 76%|███████▌ | 76/100 [00:04<00:01, 16.70it/s] 78%|███████▊ | 78/100 [00:04<00:01, 16.60it/s] 80%|████████ | 80/100 [00:04<00:01, 16.59it/s] 82%|████████▏ | 82/100 [00:04<00:01, 16.69it/s] 84%|████████▍ | 84/100 [00:05<00:00, 16.68it/s] 86%|████████▌ | 86/100 [00:05<00:00, 16.74it/s] 88%|████████▊ | 88/100 [00:05<00:00, 16.77it/s] 90%|█████████ | 90/100 [00:05<00:00, 16.46it/s] 92%|█████████▏| 92/100 [00:05<00:00, 16.58it/s] 94%|█████████▍| 94/100 [00:05<00:00, 16.55it/s] 96%|█████████▌| 96/100 [00:05<00:00, 16.65it/s] 98%|█████████▊| 98/100 [00:05<00:00, 16.67it/s] 100%|██████████| 100/100 [00:06<00:00, 16.63it/s] 100%|██████████| 100/100 [00:06<00:00, 16.49it/s]