biggpt1/irtv-mosque | Run with an API on Replicate

biggpt1 / irtv-mosque

(Updated 3 months, 1 week ago)

Warm

Public
52 runs
H100

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city's architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.

In the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city's streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.

Above the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz's historical heritage and its evolving modernityA breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city's architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.

In the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city's streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.

Above the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz's historical heritage and its evolving modernity

Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.

image

file

Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

mask

file

Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

aspect_ratio

string

Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode

Default: "1:1"

height

integer

(minimum: 256, maximum: 1440)

Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

width

integer

(minimum: 256, maximum: 1440)

Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image

Default: 0.8

model

string

Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.

Default: "dev"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of outputs to generate

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. More steps can give more detailed images, but take longer.

Default: 28

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5

Default: 3

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80

disable_safety_checker

boolean

Disable safety checker for generated images.

Default: false

go_fast

boolean

Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16

Default: false

megapixels

string

Approximate number of megapixels for generated image

Default: "1"

lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

extra_lora

string

Shift + Return to add a new line

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

extra_lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

Run this model in Node.js with one line of code:

npx create-replicate --model=biggpt1/irtv-mosque

or set up a project from scratch

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";
import fs from "node:fs";

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

Run biggpt1/irtv-mosque using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "biggpt1/irtv-mosque:c5d4b8730f71a23a0a101fccc210579dc0a1f8ea495b7b917f8afb0a0c45ea4b",
  {
    input: {
      model: "dev",
      prompt: "A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city's architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.\n\nIn the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city's streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.\n\nAbove the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz's historical heritage and its evolving modernity",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "21:9",
      output_format: "png",
      guidance_scale: 3,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run biggpt1/irtv-mosque using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "biggpt1/irtv-mosque:c5d4b8730f71a23a0a101fccc210579dc0a1f8ea495b7b917f8afb0a0c45ea4b",
    input={
        "model": "dev",
        "prompt": "A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city's architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.\n\nIn the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city's streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.\n\nAbove the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz's historical heritage and its evolving modernity",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "21:9",
        "output_format": "png",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)
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 biggpt1/irtv-mosque 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": "biggpt1/irtv-mosque:c5d4b8730f71a23a0a101fccc210579dc0a1f8ea495b7b917f8afb0a0c45ea4b",
    "input": {
      "model": "dev",
      "prompt": "A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city\'s architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.\\n\\nIn the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city\'s streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.\\n\\nAbove the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz\'s historical heritage and its evolving modernity",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "21:9",
      "output_format": "png",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  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/biggpt1/irtv-mosque@sha256:c5d4b8730f71a23a0a101fccc210579dc0a1f8ea495b7b917f8afb0a0c45ea4b \
  -i 'model="dev"' \
  -i $'prompt="A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city\'s architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.\\n\\nIn the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city\'s streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.\\n\\nAbove the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz\'s historical heritage and its evolving modernity"' \
  -i 'go_fast=false' \
  -i 'lora_scale=1' \
  -i 'megapixels="1"' \
  -i 'num_outputs=4' \
  -i 'aspect_ratio="21:9"' \
  -i 'output_format="png"' \
  -i 'guidance_scale=3' \
  -i 'output_quality=80' \
  -i 'prompt_strength=0.8' \
  -i 'extra_lora_scale=1' \
  -i 'num_inference_steps=28'

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/biggpt1/irtv-mosque@sha256:c5d4b8730f71a23a0a101fccc210579dc0a1f8ea495b7b917f8afb0a0c45ea4b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model": "dev",
      "prompt": "A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city\'s architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.\\n\\nIn the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city\'s streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.\\n\\nAbove the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz\'s historical heritage and its evolving modernity",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "21:9",
      "output_format": "png",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  http://localhost:5000/predictions

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

Output

{
  "completed_at": "2025-03-05T19:19:26.661051Z",
  "created_at": "2025-03-05T19:18:49.710000Z",
  "data_removed": false,
  "error": null,
  "id": "d1tk6y0gdsrmc0cncyztzjdkd4",
  "input": {
    "model": "dev",
    "prompt": "A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city's architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.\n\nIn the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city's streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.\n\nAbove the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz's historical heritage and its evolving modernity",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "21:9",
    "output_format": "png",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "free=28233142050816\nDownloading weights\n2025-03-05T19:18:49Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp9n_o9xb0/weights url=https://replicate.delivery/xezq/3eE9l6fB4KvNVkpOOEn88wPVvfyGvWQzvmLlcuCTJIi1WKroA/trained_model.tar\n2025-03-05T19:18:54Z | INFO  | [ Complete ] dest=/tmp/tmp9n_o9xb0/weights size=\"344 MB\" total_elapsed=5.061s url=https://replicate.delivery/xezq/3eE9l6fB4KvNVkpOOEn88wPVvfyGvWQzvmLlcuCTJIi1WKroA/trained_model.tar\nDownloaded weights in 5.09s\nLoaded LoRAs in 7.74s\nUsing seed: 48447\nPrompt: A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city's architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.\nIn the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city's streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.\nAbove the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz's historical heritage and its evolving modernity\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:39,  1.47s/it]\n  7%|▋         | 2/28 [00:02<00:26,  1.03s/it]\n 11%|█         | 3/28 [00:03<00:24,  1.04it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.08it/s]\n 18%|█▊        | 5/28 [00:04<00:20,  1.10it/s]\n 21%|██▏       | 6/28 [00:05<00:19,  1.11it/s]\n 25%|██▌       | 7/28 [00:06<00:18,  1.12it/s]\n 29%|██▊       | 8/28 [00:07<00:17,  1.13it/s]\n 32%|███▏      | 9/28 [00:08<00:16,  1.13it/s]\n 36%|███▌      | 10/28 [00:09<00:15,  1.13it/s]\n 39%|███▉      | 11/28 [00:10<00:14,  1.13it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.13it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.14it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.14it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.14it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.14it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.14it/s]\n 64%|██████▍   | 18/28 [00:16<00:08,  1.14it/s]\n 68%|██████▊   | 19/28 [00:17<00:07,  1.14it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.14it/s]\n 75%|███████▌  | 21/28 [00:18<00:06,  1.14it/s]\n 79%|███████▊  | 22/28 [00:19<00:05,  1.14it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.14it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.14it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.14it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.14it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.14it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.14it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.12it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 36.832999635,
    "total_time": 36.951051
  },
  "output": [
    "https://replicate.delivery/xezq/hd073a8fZuVbU686AJbW6pEOIHr8Ray5hlq3SSEa2EbfWlVUA/out-0.png",
    "https://replicate.delivery/xezq/0YcSEeBomeonfpKfchnfSefbb5fU3ahBoMF8VbDw9eUK9tKroA/out-1.png",
    "https://replicate.delivery/xezq/9Fryf6bHtX0yJCPJQJLbZfrGqq9SZMPSr1AvQLQUEaBetKroA/out-2.png",
    "https://replicate.delivery/xezq/DXmQLREaUtLeJCkEFAH9sKmkdOmWPV9U42NNZhvg3yMfWlVUA/out-3.png"
  ],
  "started_at": "2025-03-05T19:18:49.828052Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-rneidgxkwnwgpcagw2yzgjhiwchxxjgrtrndxhdsbptalpimuwea",
    "get": "https://api.replicate.com/v1/predictions/d1tk6y0gdsrmc0cncyztzjdkd4",
    "cancel": "https://api.replicate.com/v1/predictions/d1tk6y0gdsrmc0cncyztzjdkd4/cancel"
  },
  "version": "c5d4b8730f71a23a0a101fccc210579dc0a1f8ea495b7b917f8afb0a0c45ea4b"
}

Generated in

36.8 seconds

Tweak it ShareReport

free=28233142050816
Downloading weights
2025-03-05T19:18:49Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp9n_o9xb0/weights url=https://replicate.delivery/xezq/3eE9l6fB4KvNVkpOOEn88wPVvfyGvWQzvmLlcuCTJIi1WKroA/trained_model.tar
2025-03-05T19:18:54Z | INFO  | [ Complete ] dest=/tmp/tmp9n_o9xb0/weights size="344 MB" total_elapsed=5.061s url=https://replicate.delivery/xezq/3eE9l6fB4KvNVkpOOEn88wPVvfyGvWQzvmLlcuCTJIi1WKroA/trained_model.tar
Downloaded weights in 5.09s
Loaded LoRAs in 7.74s
Using seed: 48447
Prompt: A breathtaking aerial view of Vladikavkaz, Russia, featuring the historic Mukhtarov Mosque as the focal point. The mosque, with its distinctive twin minarets and intricate Oriental-style detailing, stands gracefully among the city's architectural blend of old and modern buildings. The Terek River winds through the city, reflecting the golden sunlight and flanked by lush, tree-lined streets.
In the background, the majestic Ossetian mountains rise, their rugged peaks standing tall against a brilliant blue sky. Soft clouds hover near the summits, adding depth to the composition. The city's streets bustle with activity, with visible parks, bridges, and classic European-style facades complementing the modern urban structures.
Above the city, several aerostats float gently in the distance, their soft, rounded forms contrasting with the rigid geometry of the mosque and cityscape. The sunlight casts a warm glow over the entire scene, enhancing the rich colors of the buildings and natural elements. The atmosphere is serene yet dynamic, capturing the harmony between Vladikavkaz's historical heritage and its evolving modernity
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 61%|██████    | 17/28 [00:15<00:09,  1.14it/s]
 64%|██████▍   | 18/28 [00:16<00:08,  1.14it/s]
 68%|██████▊   | 19/28 [00:17<00:07,  1.14it/s]
 71%|███████▏  | 20/28 [00:18<00:07,  1.14it/s]
 75%|███████▌  | 21/28 [00:18<00:06,  1.14it/s]
 79%|███████▊  | 22/28 [00:19<00:05,  1.14it/s]
 82%|████████▏ | 23/28 [00:20<00:04,  1.14it/s]
 86%|████████▌ | 24/28 [00:21<00:03,  1.14it/s]
 89%|████████▉ | 25/28 [00:22<00:02,  1.14it/s]
 93%|█████████▎| 26/28 [00:23<00:01,  1.14it/s]
 96%|█████████▋| 27/28 [00:24<00:00,  1.14it/s]
100%|██████████| 28/28 [00:25<00:00,  1.14it/s]
100%|██████████| 28/28 [00:25<00:00,  1.12it/s]
Total safe images: 4 out of 4

Examples

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Run time and cost

This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

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