playgroundai / playground-v2-1024px-aesthetic

Playground v2 is a diffusion-based text-to-image generative model trained from scratch by the research team at Playground

Cold

Public
442.7K runs
L40S
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

playgroundai/playground-v2-1024px-aesthetic:42fe626e

Model

playgroundai/playground-v2-1024px-aesthetic:42fe626e

lx6uomlbstxw4uxlwtl3taeb6a

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

20.9s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: Astronaut in a jungle, cold color palette, muted colors, detailed, 8k
scheduler: K_EULER_ANCESTRAL
guidance_scale: 3
apply_watermark
negative_prompt
num_inference_steps: 50

{
  "width": 1024,
  "height": 1024,
  "prompt": "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
  "scheduler": "K_EULER_ANCESTRAL",
  "guidance_scale": 3,
  "apply_watermark": false,
  "negative_prompt": "",
  "num_inference_steps": 50
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run playgroundai/playground-v2-1024px-aesthetic using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "playgroundai/playground-v2-1024px-aesthetic:42fe626e41cc811eaf02c94b892774839268ce1994ea778eba97103fe1ef51b8",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
      scheduler: "K_EULER_ANCESTRAL",
      guidance_scale: 3,
      apply_watermark: false,
      negative_prompt: "",
      num_inference_steps: 50
    }
  }
);
console.log(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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run playgroundai/playground-v2-1024px-aesthetic using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "playgroundai/playground-v2-1024px-aesthetic:42fe626e41cc811eaf02c94b892774839268ce1994ea778eba97103fe1ef51b8",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
        "scheduler": "K_EULER_ANCESTRAL",
        "guidance_scale": 3,
        "apply_watermark": False,
        "negative_prompt": "",
        "num_inference_steps": 50
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run playgroundai/playground-v2-1024px-aesthetic 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": "42fe626e41cc811eaf02c94b892774839268ce1994ea778eba97103fe1ef51b8",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
      "scheduler": "K_EULER_ANCESTRAL",
      "guidance_scale": 3,
      "apply_watermark": false,
      "negative_prompt": "",
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-06T18:26:34.597268Z",
  "created_at": "2023-12-06T18:26:13.724594Z",
  "data_removed": false,
  "error": null,
  "id": "lx6uomlbstxw4uxlwtl3taeb6a",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
    "scheduler": "K_EULER_ANCESTRAL",
    "guidance_scale": 3,
    "apply_watermark": false,
    "negative_prompt": "",
    "num_inference_steps": 50
  },
  "logs": "Using seed: 32009\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:46,  1.04it/s]\n  6%|▌         | 3/50 [00:01<00:16,  2.81it/s]\n  8%|▊         | 4/50 [00:01<00:13,  3.33it/s]\n 10%|█         | 5/50 [00:01<00:11,  3.76it/s]\n 12%|█▏        | 6/50 [00:01<00:10,  4.11it/s]\n 14%|█▍        | 7/50 [00:02<00:09,  4.36it/s]\n 16%|█▌        | 8/50 [00:02<00:09,  4.56it/s]\n 18%|█▊        | 9/50 [00:02<00:08,  4.70it/s]\n 20%|██        | 10/50 [00:02<00:08,  4.81it/s]\n 22%|██▏       | 11/50 [00:02<00:07,  4.88it/s]\n 24%|██▍       | 12/50 [00:03<00:07,  4.93it/s]\n 26%|██▌       | 13/50 [00:03<00:07,  4.97it/s]\n 28%|██▊       | 14/50 [00:03<00:07,  4.99it/s]\n 30%|███       | 15/50 [00:03<00:06,  5.01it/s]\n 32%|███▏      | 16/50 [00:03<00:06,  5.03it/s]\n 34%|███▍      | 17/50 [00:04<00:06,  5.04it/s]\n 36%|███▌      | 18/50 [00:04<00:06,  5.04it/s]\n 38%|███▊      | 19/50 [00:04<00:06,  5.05it/s]\n 40%|████      | 20/50 [00:04<00:05,  5.04it/s]\n 42%|████▏     | 21/50 [00:04<00:05,  5.04it/s]\n 44%|████▍     | 22/50 [00:05<00:05,  5.05it/s]\n 46%|████▌     | 23/50 [00:05<00:05,  5.05it/s]\n 48%|████▊     | 24/50 [00:05<00:05,  5.04it/s]\n 50%|█████     | 25/50 [00:05<00:04,  5.04it/s]\n 52%|█████▏    | 26/50 [00:05<00:04,  5.04it/s]\n 54%|█████▍    | 27/50 [00:05<00:04,  5.04it/s]\n 56%|█████▌    | 28/50 [00:06<00:04,  5.04it/s]\n 58%|█████▊    | 29/50 [00:06<00:04,  5.05it/s]\n 60%|██████    | 30/50 [00:06<00:03,  5.04it/s]\n 62%|██████▏   | 31/50 [00:06<00:03,  5.04it/s]\n 64%|██████▍   | 32/50 [00:06<00:03,  5.03it/s]\n 66%|██████▌   | 33/50 [00:07<00:03,  5.03it/s]\n 68%|██████▊   | 34/50 [00:07<00:03,  5.03it/s]\n 70%|███████   | 35/50 [00:07<00:02,  5.03it/s]\n 72%|███████▏  | 36/50 [00:07<00:02,  5.03it/s]\n 74%|███████▍  | 37/50 [00:07<00:02,  5.02it/s]\n 76%|███████▌  | 38/50 [00:08<00:02,  5.03it/s]\n 78%|███████▊  | 39/50 [00:08<00:02,  5.04it/s]\n 80%|████████  | 40/50 [00:08<00:01,  5.04it/s]\n 82%|████████▏ | 41/50 [00:08<00:01,  5.03it/s]\n 84%|████████▍ | 42/50 [00:08<00:01,  5.02it/s]\n 86%|████████▌ | 43/50 [00:09<00:01,  5.02it/s]\n 88%|████████▊ | 44/50 [00:09<00:01,  5.03it/s]\n 90%|█████████ | 45/50 [00:09<00:00,  5.03it/s]\n 92%|█████████▏| 46/50 [00:09<00:00,  5.03it/s]\n 94%|█████████▍| 47/50 [00:09<00:00,  5.02it/s]\n 96%|█████████▌| 48/50 [00:10<00:00,  5.02it/s]\n 98%|█████████▊| 49/50 [00:10<00:00,  5.03it/s]\n100%|██████████| 50/50 [00:10<00:00,  5.03it/s]\n100%|██████████| 50/50 [00:10<00:00,  4.73it/s]",
  "metrics": {
    "predict_time": 12.208714,
    "total_time": 20.872674
  },
  "output": [
    "https://replicate.delivery/pbxt/lQyVYazYu5raGJI4Nrq9lifGkW8foY53PyHYugFuA5Fa7mfjA/out-0.png"
  ],
  "started_at": "2023-12-06T18:26:22.388554Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/lx6uomlbstxw4uxlwtl3taeb6a",
    "cancel": "https://api.replicate.com/v1/predictions/lx6uomlbstxw4uxlwtl3taeb6a/cancel"
  },
  "version": "42fe626e41cc811eaf02c94b892774839268ce1994ea778eba97103fe1ef51b8"
}

Generated in

12.2 seconds

Tweak it Share Report

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