Prediction

asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6

Model

asiryan/sdxl:49d55f8e

ID

gp4lpqtb54sunfasp6aczcqsoy

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

4.8s

Created

almost 2 years ago

Input

seed: 16010
width: 768
height: 768
prompt: An astronaut riding a rainbow unicorn, cinematic, dramatic
refine: no_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

{
  "seed": 16010,
  "width": 768,
  "height": 768,
  "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": true,
  "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

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

const output = await replicate.run(
  "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
  {
    input: {
      seed: 16010,
      width: 768,
      height: 768,
      prompt: "An astronaut riding a rainbow unicorn, cinematic, dramatic",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
    input={
        "seed": 16010,
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)

# 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.

Run asiryan/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": "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
    "input": {
      "seed": 16010,
      "width": 768,
      "height": 768,
      "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": true,
      "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.

Output

{
  "completed_at": "2023-11-14T22:48:35.589518Z",
  "created_at": "2023-11-14T22:48:30.786421Z",
  "data_removed": false,
  "error": null,
  "id": "gp4lpqtb54sunfasp6aczcqsoy",
  "input": {
    "seed": 16010,
    "width": 768,
    "height": 768,
    "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 16010\nPrompt: An astronaut riding a rainbow unicorn, cinematic, dramatic\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:02,  8.29it/s]\n  8%|▊         | 2/25 [00:00<00:02,  8.19it/s]\n 12%|█▏        | 3/25 [00:00<00:02,  8.15it/s]\n 16%|█▌        | 4/25 [00:00<00:02,  8.14it/s]\n 20%|██        | 5/25 [00:00<00:02,  8.13it/s]\n 24%|██▍       | 6/25 [00:00<00:02,  8.13it/s]\n 28%|██▊       | 7/25 [00:00<00:02,  8.14it/s]\n 32%|███▏      | 8/25 [00:00<00:02,  8.14it/s]\n 36%|███▌      | 9/25 [00:01<00:01,  8.14it/s]\n 40%|████      | 10/25 [00:01<00:01,  8.13it/s]\n 44%|████▍     | 11/25 [00:01<00:01,  8.12it/s]\n 48%|████▊     | 12/25 [00:01<00:01,  8.12it/s]\n 52%|█████▏    | 13/25 [00:01<00:01,  8.13it/s]\n 56%|█████▌    | 14/25 [00:01<00:01,  8.13it/s]\n 60%|██████    | 15/25 [00:01<00:01,  8.12it/s]\n 64%|██████▍   | 16/25 [00:01<00:01,  8.12it/s]\n 68%|██████▊   | 17/25 [00:02<00:00,  8.12it/s]\n 72%|███████▏  | 18/25 [00:02<00:00,  8.11it/s]\n 76%|███████▌  | 19/25 [00:02<00:00,  8.12it/s]\n 80%|████████  | 20/25 [00:02<00:00,  8.12it/s]\n 84%|████████▍ | 21/25 [00:02<00:00,  8.12it/s]\n 88%|████████▊ | 22/25 [00:02<00:00,  8.11it/s]\n 92%|█████████▏| 23/25 [00:02<00:00,  8.10it/s]\n 96%|█████████▌| 24/25 [00:02<00:00,  8.11it/s]\n100%|██████████| 25/25 [00:03<00:00,  8.13it/s]\n100%|██████████| 25/25 [00:03<00:00,  8.13it/s]",
  "metrics": {
    "predict_time": 4.765814,
    "total_time": 4.803097
  },
  "output": [
    "https://replicate.delivery/pbxt/eEeoxW8fGRGxso3OJBcNH8I5LFCmZztqTMkT9kzwvFzFa1wjA/out-0.png"
  ],
  "started_at": "2023-11-14T22:48:30.823704Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/gp4lpqtb54sunfasp6aczcqsoy",
    "cancel": "https://api.replicate.com/v1/predictions/gp4lpqtb54sunfasp6aczcqsoy/cancel"
  },
  "version": "49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6"
}

Generated in

4.8 seconds

Tweak it Iterate in playground ShareReport

Prediction

asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6

Model

asiryan/sdxl:49d55f8e

ID

xr4tevlb2a6ln6w23x6mr3kiga

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3.3s

Created

almost 2 years ago

Input

seed: 16010
image
width: 768
height: 768
prompt: Photo of a lone astronaut standing on a barren planet, looking up at the stars, surrounded by remnants of a destroyed spaceship. Deep blue filter, harsh shadows, intense stare, gritty texture, captured by a Sony Alpha 7S III camera.
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
prompt_strength: 0.6
num_inference_steps: 30

{
  "seed": 16010,
  "image": "https://replicate.delivery/pbxt/JvqeLjqDJRHsORHxZr2jAc2I3PYd6i9WxGCYWlSxdM28meTC/astro.png",
  "width": 768,
  "height": 768,
  "prompt": "Photo of a lone astronaut standing on a barren planet, looking up at the stars, surrounded by remnants of a destroyed spaceship. Deep blue filter, harsh shadows, intense stare, gritty texture, captured by a Sony Alpha 7S III camera.",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "prompt_strength": 0.6,
  "num_inference_steps": 30
}

Install Replicate’s Node.js client library:

npm install replicate

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

const output = await replicate.run(
  "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
  {
    input: {
      seed: 16010,
      image: "https://replicate.delivery/pbxt/JvqeLjqDJRHsORHxZr2jAc2I3PYd6i9WxGCYWlSxdM28meTC/astro.png",
      width: 768,
      height: 768,
      prompt: "Photo of a lone astronaut standing on a barren planet, looking up at the stars, surrounded by remnants of a destroyed spaceship. Deep blue filter, harsh shadows, intense stare, gritty texture, captured by a Sony Alpha 7S III camera.",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      prompt_strength: 0.6,
      num_inference_steps: 30
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
    input={
        "seed": 16010,
        "image": "https://replicate.delivery/pbxt/JvqeLjqDJRHsORHxZr2jAc2I3PYd6i9WxGCYWlSxdM28meTC/astro.png",
        "width": 768,
        "height": 768,
        "prompt": "Photo of a lone astronaut standing on a barren planet, looking up at the stars, surrounded by remnants of a destroyed spaceship. Deep blue filter, harsh shadows, intense stare, gritty texture, captured by a Sony Alpha 7S III camera.",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "prompt_strength": 0.6,
        "num_inference_steps": 30
    }
)

# 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.

Run asiryan/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": "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
    "input": {
      "seed": 16010,
      "image": "https://replicate.delivery/pbxt/JvqeLjqDJRHsORHxZr2jAc2I3PYd6i9WxGCYWlSxdM28meTC/astro.png",
      "width": 768,
      "height": 768,
      "prompt": "Photo of a lone astronaut standing on a barren planet, looking up at the stars, surrounded by remnants of a destroyed spaceship. Deep blue filter, harsh shadows, intense stare, gritty texture, captured by a Sony Alpha 7S III camera.",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "prompt_strength": 0.6,
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-24T09:32:25.012996Z",
  "created_at": "2023-11-24T09:32:21.724211Z",
  "data_removed": false,
  "error": null,
  "id": "xr4tevlb2a6ln6w23x6mr3kiga",
  "input": {
    "seed": 16010,
    "image": "https://replicate.delivery/pbxt/JvqeLjqDJRHsORHxZr2jAc2I3PYd6i9WxGCYWlSxdM28meTC/astro.png",
    "width": 768,
    "height": 768,
    "prompt": "Photo of a lone astronaut standing on a barren planet, looking up at the stars, surrounded by remnants of a destroyed spaceship. Deep blue filter, harsh shadows, intense stare, gritty texture, captured by a Sony Alpha 7S III camera.",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "prompt_strength": 0.6,
    "num_inference_steps": 30
  },
  "logs": "Using seed: 16010\nPrompt: Photo of a lone astronaut standing on a barren planet, looking up at the stars, surrounded by remnants of a destroyed spaceship. Deep blue filter, harsh shadows, intense stare, gritty texture, captured by a Sony Alpha 7S III camera.\nimg2img mode\n  0%|          | 0/18 [00:00<?, ?it/s]\n 11%|█         | 2/18 [00:00<00:01, 13.18it/s]\n 22%|██▏       | 4/18 [00:00<00:01, 13.07it/s]\n 33%|███▎      | 6/18 [00:00<00:00, 13.06it/s]\n 44%|████▍     | 8/18 [00:00<00:00, 13.02it/s]\n 56%|█████▌    | 10/18 [00:00<00:00, 13.02it/s]\n 67%|██████▋   | 12/18 [00:00<00:00, 13.00it/s]\n 78%|███████▊  | 14/18 [00:01<00:00, 13.00it/s]\n 89%|████████▉ | 16/18 [00:01<00:00, 12.98it/s]\n100%|██████████| 18/18 [00:01<00:00, 12.97it/s]\n100%|██████████| 18/18 [00:01<00:00, 13.00it/s]",
  "metrics": {
    "predict_time": 3.250703,
    "total_time": 3.288785
  },
  "output": [
    "https://replicate.delivery/pbxt/y2z09uUMMM6pMVafUVKcWiQEyEFeud3hZCwA3ljS66boeD3jA/out-0.png"
  ],
  "started_at": "2023-11-24T09:32:21.762293Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/xr4tevlb2a6ln6w23x6mr3kiga",
    "cancel": "https://api.replicate.com/v1/predictions/xr4tevlb2a6ln6w23x6mr3kiga/cancel"
  },
  "version": "49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6"
}

Generated in

3.3 seconds

Tweak it Iterate in playground ShareReport

Prediction

asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6

Model

asiryan/sdxl:49d55f8e

ID

m4c5kblbhqo2gzujevvkjvdlcq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

10.1s

Created

almost 2 years ago

Input

mask
seed: 16010
image
width: 1280
height: 1280
prompt: a tabby cat, high resolution, sitting on a park bench
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
prompt_strength: 0.6
num_inference_steps: 30

{
  "mask": "https://replicate.delivery/pbxt/JvqffKrR2WvfN9Tb6eCv3GEgv5wjOuhuwy7Q4EKkxPE2n1xD/mask.png",
  "seed": 16010,
  "image": "https://replicate.delivery/pbxt/Jvqffzzgb0TNKqaHDGVYjdg5poR28Uvn0j8FsyxurU44CjzQ/demo.png",
  "width": 1280,
  "height": 1280,
  "prompt": "a tabby cat, high resolution, sitting on a park bench",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "prompt_strength": 0.6,
  "num_inference_steps": 30
}

Install Replicate’s Node.js client library:

npm install replicate

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

const output = await replicate.run(
  "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JvqffKrR2WvfN9Tb6eCv3GEgv5wjOuhuwy7Q4EKkxPE2n1xD/mask.png",
      seed: 16010,
      image: "https://replicate.delivery/pbxt/Jvqffzzgb0TNKqaHDGVYjdg5poR28Uvn0j8FsyxurU44CjzQ/demo.png",
      width: 1280,
      height: 1280,
      prompt: "a tabby cat, high resolution, sitting on a park bench",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      prompt_strength: 0.6,
      num_inference_steps: 30
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
    input={
        "mask": "https://replicate.delivery/pbxt/JvqffKrR2WvfN9Tb6eCv3GEgv5wjOuhuwy7Q4EKkxPE2n1xD/mask.png",
        "seed": 16010,
        "image": "https://replicate.delivery/pbxt/Jvqffzzgb0TNKqaHDGVYjdg5poR28Uvn0j8FsyxurU44CjzQ/demo.png",
        "width": 1280,
        "height": 1280,
        "prompt": "a tabby cat, high resolution, sitting on a park bench",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "prompt_strength": 0.6,
        "num_inference_steps": 30
    }
)

# 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.

Run asiryan/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": "asiryan/sdxl:49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JvqffKrR2WvfN9Tb6eCv3GEgv5wjOuhuwy7Q4EKkxPE2n1xD/mask.png",
      "seed": 16010,
      "image": "https://replicate.delivery/pbxt/Jvqffzzgb0TNKqaHDGVYjdg5poR28Uvn0j8FsyxurU44CjzQ/demo.png",
      "width": 1280,
      "height": 1280,
      "prompt": "a tabby cat, high resolution, sitting on a park bench",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "prompt_strength": 0.6,
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-24T09:33:55.446034Z",
  "created_at": "2023-11-24T09:33:45.372899Z",
  "data_removed": false,
  "error": null,
  "id": "m4c5kblbhqo2gzujevvkjvdlcq",
  "input": {
    "mask": "https://replicate.delivery/pbxt/JvqffKrR2WvfN9Tb6eCv3GEgv5wjOuhuwy7Q4EKkxPE2n1xD/mask.png",
    "seed": 16010,
    "image": "https://replicate.delivery/pbxt/Jvqffzzgb0TNKqaHDGVYjdg5poR28Uvn0j8FsyxurU44CjzQ/demo.png",
    "width": 1280,
    "height": 1280,
    "prompt": "a tabby cat, high resolution, sitting on a park bench",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "prompt_strength": 0.6,
    "num_inference_steps": 30
  },
  "logs": "Using seed: 16010\nPrompt: a tabby cat, high resolution, sitting on a park bench\ninpainting mode\n  0%|          | 0/18 [00:00<?, ?it/s]\n  6%|▌         | 1/18 [00:00<00:05,  2.96it/s]\n 11%|█         | 2/18 [00:00<00:05,  2.98it/s]\n 17%|█▋        | 3/18 [00:01<00:05,  2.97it/s]\n 22%|██▏       | 4/18 [00:01<00:04,  2.98it/s]\n 28%|██▊       | 5/18 [00:01<00:04,  2.99it/s]\n 33%|███▎      | 6/18 [00:02<00:04,  2.98it/s]\n 39%|███▉      | 7/18 [00:02<00:03,  2.98it/s]\n 44%|████▍     | 8/18 [00:02<00:03,  2.99it/s]\n 50%|█████     | 9/18 [00:03<00:03,  2.99it/s]\n 56%|█████▌    | 10/18 [00:03<00:02,  2.99it/s]\n 61%|██████    | 11/18 [00:03<00:02,  3.00it/s]\n 67%|██████▋   | 12/18 [00:04<00:01,  3.00it/s]\n 72%|███████▏  | 13/18 [00:04<00:01,  3.00it/s]\n 78%|███████▊  | 14/18 [00:04<00:01,  3.00it/s]\n 83%|████████▎ | 15/18 [00:05<00:00,  3.00it/s]\n 89%|████████▉ | 16/18 [00:05<00:00,  3.00it/s]\n 94%|█████████▍| 17/18 [00:05<00:00,  3.00it/s]\n100%|██████████| 18/18 [00:06<00:00,  3.00it/s]\n100%|██████████| 18/18 [00:06<00:00,  2.99it/s]",
  "metrics": {
    "predict_time": 10.014939,
    "total_time": 10.073135
  },
  "output": [
    "https://replicate.delivery/pbxt/0UoaCYNqc9a7KlgjvNPymtBYVFNtHWavW20AsgWD5LpAg4eIA/out-0.png"
  ],
  "started_at": "2023-11-24T09:33:45.431095Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/m4c5kblbhqo2gzujevvkjvdlcq",
    "cancel": "https://api.replicate.com/v1/predictions/m4c5kblbhqo2gzujevvkjvdlcq/cancel"
  },
  "version": "49d55f8ecdf23a74f0a2d2e70254b68948e20f08e33a0347b82dd106519731e6"
}

Generated in

10.0 seconds

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Prediction

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Output

Prediction

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Prediction

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Logs (gp4lpqtb54sunfasp6aczcqsoy)

Logs (xr4tevlb2a6ln6w23x6mr3kiga)

Logs (m4c5kblbhqo2gzujevvkjvdlcq)