Prediction

Model

adalab-ai/kandinsky_v2_2:eb68c00d

i5urxqbb5h7xc6p2tjwxyhbsw4

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

3.2s

Created

over 2 years ago

Webhook

–

Input

task: text2img
scheduler: unipc
prompt: A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting
negative_prompt: ugly, tiling, oversaturated, undersaturated, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft
width: 1024
height: 1024
num_outputs: 1
num_steps_prior: 2
num_inference_steps: 18
guidance_scale: 4
img_weight: 1

{
  "guidance_scale": 4,
  "height": 1024,
  "img_weight": 1,
  "negative_prompt": "ugly, tiling, oversaturated, undersaturated, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft",
  "num_inference_steps": 18,
  "num_outputs": 1,
  "num_steps_prior": 2,
  "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
  "scheduler": "unipc",
  "task": "text2img",
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Bqq**********************************

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 adalab-ai/kandinsky_v2_2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "adalab-ai/kandinsky_v2_2:eb68c00d7fc7d7297a04dcecbdd29032361ab8f1d3f6843c32fbd6ec70532319",
  {
    input: {
      guidance_scale: 4,
      height: 1024,
      img_weight: 1,
      negative_prompt: "ugly, tiling, oversaturated, undersaturated, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft",
      num_inference_steps: 18,
      num_outputs: 1,
      num_steps_prior: 2,
      prompt: "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
      scheduler: "unipc",
      task: "text2img",
      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_Bqq**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run adalab-ai/kandinsky_v2_2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adalab-ai/kandinsky_v2_2:eb68c00d7fc7d7297a04dcecbdd29032361ab8f1d3f6843c32fbd6ec70532319",
    input={
        "guidance_scale": 4,
        "height": 1024,
        "img_weight": 1,
        "negative_prompt": "ugly, tiling, oversaturated, undersaturated, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft",
        "num_inference_steps": 18,
        "num_outputs": 1,
        "num_steps_prior": 2,
        "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
        "scheduler": "unipc",
        "task": "text2img",
        "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_Bqq**********************************

This is your API token. Keep it to yourself.

Run adalab-ai/kandinsky_v2_2 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": "adalab-ai/kandinsky_v2_2:eb68c00d7fc7d7297a04dcecbdd29032361ab8f1d3f6843c32fbd6ec70532319",
    "input": {
      "guidance_scale": 4,
      "height": 1024,
      "img_weight": 1,
      "negative_prompt": "ugly, tiling, oversaturated, undersaturated, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft",
      "num_inference_steps": 18,
      "num_outputs": 1,
      "num_steps_prior": 2,
      "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
      "scheduler": "unipc",
      "task": "text2img",
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "i5urxqbb5h7xc6p2tjwxyhbsw4",
  "model": "adalab-ai/kandinsky_v2_2",
  "version": "eb68c00d7fc7d7297a04dcecbdd29032361ab8f1d3f6843c32fbd6ec70532319",
  "input": {
    "guidance_scale": 4,
    "height": 1024,
    "img_weight": 1,
    "negative_prompt": "ugly, tiling, oversaturated, undersaturated, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft",
    "num_inference_steps": 18,
    "num_outputs": 1,
    "num_steps_prior": 2,
    "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
    "scheduler": "unipc",
    "task": "text2img",
    "width": 1024
  },
  "logs": "Using seed: 47117\n  0%|          | 0/2 [00:00<?, ?it/s]\n100%|██████████| 2/2 [00:00<00:00, 44.94it/s]\n  0%|          | 0/2 [00:00<?, ?it/s]\n100%|██████████| 2/2 [00:00<00:00, 45.88it/s]\n  0%|          | 0/18 [00:00<?, ?it/s]\n  6%|▌         | 1/18 [00:00<00:02,  6.39it/s]\n 17%|█▋        | 3/18 [00:00<00:01,  9.28it/s]\n 28%|██▊       | 5/18 [00:00<00:01, 10.58it/s]\n 39%|███▉      | 7/18 [00:00<00:00, 11.20it/s]\n 50%|█████     | 9/18 [00:00<00:00, 11.55it/s]\n 61%|██████    | 11/18 [00:00<00:00, 11.76it/s]\n 72%|███████▏  | 13/18 [00:01<00:00, 11.89it/s]\n 83%|████████▎ | 15/18 [00:01<00:00, 11.96it/s]\n 94%|█████████▍| 17/18 [00:01<00:00, 12.01it/s]\n100%|██████████| 18/18 [00:01<00:00, 11.45it/s]",
  "output": [
    "https://replicate.delivery/pbxt/UWJyuHmKzaoRExhMNj0AUIxYkMGqjgr1zNOs6uWd6MfEAjoIA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-07-18T15:21:43.191497Z",
  "started_at": "2023-07-18T15:21:43.150382Z",
  "completed_at": "2023-07-18T15:21:46.400543Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/i5urxqbb5h7xc6p2tjwxyhbsw4/cancel",
    "get": "https://api.replicate.com/v1/predictions/i5urxqbb5h7xc6p2tjwxyhbsw4"
  },
  "metrics": {
    "predict_time": 3.250161,
    "total_time": 3.209046
  }
}

Generated in

3.3 seconds

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