Prediction

stability-ai/sdxl:c221b2b8

Model

stability-ai/sdxl:c221b2b8

5rocea3bydhhnl7yrip7kfydgu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

10.7s

Created

over 1 year ago by @scenaristeur

Input

width: 768
height: 768
prompt: An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds.
refine: expert_ensemble_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds.",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

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

const output = await replicate.run(
  "stability-ai/sdxl:c221b2b8ef527988fb59bf24a8b97c4561f1c671f73bd389f866bfb27c061316",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds.",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
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 stability-ai/sdxl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stability-ai/sdxl:c221b2b8ef527988fb59bf24a8b97c4561f1c671f73bd389f866bfb27c061316",
    input={
        "width": 768,
        "height": 768,
        "prompt": "An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds.",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
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 stability-ai/sdxl 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": "c221b2b8ef527988fb59bf24a8b97c4561f1c671f73bd389f866bfb27c061316",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds.",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/stability-ai/sdxl@sha256:c221b2b8ef527988fb59bf24a8b97c4561f1c671f73bd389f866bfb27c061316 \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds."' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/stability-ai/sdxl@sha256:c221b2b8ef527988fb59bf24a8b97c4561f1c671f73bd389f866bfb27c061316
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds.",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-22T21:22:36.441157Z",
  "created_at": "2023-10-22T21:22:25.704407Z",
  "data_removed": false,
  "error": null,
  "id": "5rocea3bydhhnl7yrip7kfydgu",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds.",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 54670\nPrompt: An image of determined, space explorer, repairing a broken spaceship engine, cyberpunk style, detailed, realistic, trending on artstation, in style of Ben Folds.\ntxt2img mode\n  0%|          | 0/16 [00:00<?, ?it/s]\n  6%|▋         | 1/16 [00:00<00:01,  8.14it/s]\n 12%|█▎        | 2/16 [00:00<00:01,  8.03it/s]\n 19%|█▉        | 3/16 [00:00<00:01,  8.01it/s]\n 25%|██▌       | 4/16 [00:00<00:01,  7.99it/s]\n 31%|███▏      | 5/16 [00:00<00:01,  8.00it/s]\n 38%|███▊      | 6/16 [00:00<00:01,  7.98it/s]\n 44%|████▍     | 7/16 [00:00<00:01,  7.98it/s]\n 50%|█████     | 8/16 [00:01<00:01,  7.96it/s]\n 56%|█████▋    | 9/16 [00:01<00:00,  7.96it/s]\n 62%|██████▎   | 10/16 [00:01<00:00,  7.97it/s]\n 69%|██████▉   | 11/16 [00:01<00:00,  7.95it/s]\n 75%|███████▌  | 12/16 [00:01<00:00,  7.95it/s]\n 81%|████████▏ | 13/16 [00:01<00:00,  7.96it/s]\n 88%|████████▊ | 14/16 [00:01<00:00,  7.96it/s]\n 94%|█████████▍| 15/16 [00:01<00:00,  7.95it/s]\n100%|██████████| 16/16 [00:02<00:00,  7.96it/s]\n100%|██████████| 16/16 [00:02<00:00,  7.97it/s]\n  0%|          | 0/5 [00:00<?, ?it/s]\n 20%|██        | 1/5 [00:00<00:00,  7.74it/s]\n 40%|████      | 2/5 [00:00<00:00,  7.66it/s]\n 60%|██████    | 3/5 [00:00<00:00,  7.65it/s]\n 80%|████████  | 4/5 [00:00<00:00,  7.61it/s]\n100%|██████████| 5/5 [00:00<00:00,  7.59it/s]\n100%|██████████| 5/5 [00:00<00:00,  7.61it/s]",
  "metrics": {
    "predict_time": 4.885174,
    "total_time": 10.73675
  },
  "output": [
    "https://pbxt.replicate.delivery/LWURDvWtfGQpVCRsSMzSf2fHVCezMrjw4475ww3fFif2mENcE/out-0.png"
  ],
  "started_at": "2023-10-22T21:22:31.555983Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/5rocea3bydhhnl7yrip7kfydgu",
    "cancel": "https://api.replicate.com/v1/predictions/5rocea3bydhhnl7yrip7kfydgu/cancel"
  },
  "version": "c221b2b8ef527988fb59bf24a8b97c4561f1c671f73bd389f866bfb27c061316"
}

Generated in

4.9 seconds

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