juddisjudd / barricadettv

model: dev
width: 742
height: 906
prompt: a photo of barricadettv posing for the camera in an old magic shop, photorealistic, film, 35mm
lora_scale: 1
num_outputs: 4
aspect_ratio: 1:1
output_format: png
guidance_scale: 3.5
output_quality: 100
prompt_strength: 0.8
extra_lora_scale: 0.8
num_inference_steps: 28

{
  "model": "dev",
  "width": 742,
  "height": 906,
  "prompt": "a photo of barricadettv posing for the camera in an old magic shop, photorealistic, film, 35mm",
  "lora_scale": 1,
  "num_outputs": 4,
  "aspect_ratio": "1:1",
  "output_format": "png",
  "guidance_scale": 3.5,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 0.8,
  "num_inference_steps": 28
}

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

const output = await replicate.run(
  "juddisjudd/barricadettv:ff09adf40f03d06baec0178cfe1d16fe784c1870883ce9c15f26770935170dc5",
  {
    input: {
      model: "dev",
      width: 742,
      height: 906,
      prompt: "a photo of barricadettv posing for the camera in an old magic shop, photorealistic, film, 35mm",
      lora_scale: 1,
      num_outputs: 4,
      aspect_ratio: "1:1",
      output_format: "png",
      guidance_scale: 3.5,
      output_quality: 100,
      prompt_strength: 0.8,
      extra_lora_scale: 0.8,
      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

Import the client:

import replicate

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

output = replicate.run(
    "juddisjudd/barricadettv:ff09adf40f03d06baec0178cfe1d16fe784c1870883ce9c15f26770935170dc5",
    input={
        "model": "dev",
        "width": 742,
        "height": 906,
        "prompt": "a photo of barricadettv posing for the camera in an old magic shop, photorealistic, film, 35mm",
        "lora_scale": 1,
        "num_outputs": 4,
        "aspect_ratio": "1:1",
        "output_format": "png",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "prompt_strength": 0.8,
        "extra_lora_scale": 0.8,
        "num_inference_steps": 28
    }
)

# 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 juddisjudd/barricadettv 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": "juddisjudd/barricadettv:ff09adf40f03d06baec0178cfe1d16fe784c1870883ce9c15f26770935170dc5",
    "input": {
      "model": "dev",
      "width": 742,
      "height": 906,
      "prompt": "a photo of barricadettv posing for the camera in an old magic shop, photorealistic, film, 35mm",
      "lora_scale": 1,
      "num_outputs": 4,
      "aspect_ratio": "1:1",
      "output_format": "png",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "prompt_strength": 0.8,
      "extra_lora_scale": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-09-04T03:15:15.171177Z",
  "created_at": "2024-09-04T03:14:30.802000Z",
  "data_removed": false,
  "error": null,
  "id": "tsq6s9pd29rm00chqc39trcx98",
  "input": {
    "model": "dev",
    "width": 742,
    "height": 906,
    "prompt": "a photo of barricadettv posing for the camera in an old magic shop, photorealistic, film, 35mm",
    "lora_scale": 1,
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "png",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "prompt_strength": 0.8,
    "extra_lora_scale": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 37987\nPrompt: a photo of barricadettv posing for the camera in an old magic shop, photorealistic, film, 35mm\ntxt2img mode\nUsing dev model\nfree=9577815539712\nDownloading weights\n2024-09-04T03:14:30Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp8qqcalos/weights url=https://replicate.delivery/yhqm/mXirwZeJvYXxGqPs2AxLsyoPqcfNfKCuU2jyAZbIhBHZZvymA/trained_model.tar\n2024-09-04T03:14:33Z | INFO  | [ Complete ] dest=/tmp/tmp8qqcalos/weights size=\"172 MB\" total_elapsed=2.414s url=https://replicate.delivery/yhqm/mXirwZeJvYXxGqPs2AxLsyoPqcfNfKCuU2jyAZbIhBHZZvymA/trained_model.tar\nDownloaded weights in 2.45s\nLoaded LoRAs in 11.75s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:29,  1.07s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.05it/s]\n 11%|█         | 3/28 [00:03<00:25,  1.01s/it]\n 14%|█▍        | 4/28 [00:04<00:24,  1.04s/it]\n 18%|█▊        | 5/28 [00:05<00:24,  1.05s/it]\n 21%|██▏       | 6/28 [00:06<00:23,  1.06s/it]\n 25%|██▌       | 7/28 [00:07<00:22,  1.07s/it]\n 29%|██▊       | 8/28 [00:08<00:21,  1.07s/it]\n 32%|███▏      | 9/28 [00:09<00:20,  1.08s/it]\n 36%|███▌      | 10/28 [00:10<00:19,  1.08s/it]\n 39%|███▉      | 11/28 [00:11<00:18,  1.08s/it]\n 43%|████▎     | 12/28 [00:12<00:17,  1.08s/it]\n 46%|████▋     | 13/28 [00:13<00:16,  1.08s/it]\n 50%|█████     | 14/28 [00:14<00:15,  1.08s/it]\n 54%|█████▎    | 15/28 [00:15<00:14,  1.08s/it]\n 57%|█████▋    | 16/28 [00:17<00:12,  1.08s/it]\n 61%|██████    | 17/28 [00:18<00:11,  1.08s/it]\n 64%|██████▍   | 18/28 [00:19<00:10,  1.08s/it]\n 68%|██████▊   | 19/28 [00:20<00:09,  1.08s/it]\n 71%|███████▏  | 20/28 [00:21<00:08,  1.08s/it]\n 75%|███████▌  | 21/28 [00:22<00:07,  1.08s/it]\n 79%|███████▊  | 22/28 [00:23<00:06,  1.08s/it]\n 82%|████████▏ | 23/28 [00:24<00:05,  1.08s/it]\n 86%|████████▌ | 24/28 [00:25<00:04,  1.08s/it]\n 89%|████████▉ | 25/28 [00:26<00:03,  1.08s/it]\n 93%|█████████▎| 26/28 [00:27<00:02,  1.08s/it]\n 96%|█████████▋| 27/28 [00:28<00:01,  1.08s/it]\n100%|██████████| 28/28 [00:30<00:00,  1.08s/it]\n100%|██████████| 28/28 [00:30<00:00,  1.07s/it]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 2",
  "metrics": {
    "predict_time": 44.356847292,
    "total_time": 44.369177
  },
  "output": [
    "https://replicate.delivery/yhqm/agBG0tyMAM53HZ8CjB5hm1AmP1mI9pZT7w4AOLarHmuwCW2E/out-0.png",
    "https://replicate.delivery/yhqm/qofoAe40zPnW80yz7nlc1C9UrG3FuNjb5TfhCbzNWFnEWwymA/out-1.png",
    "https://replicate.delivery/yhqm/uXAeA8m2metrKU8UIsw2HVbB8jY8MBLoVMkB2WsfkefcYBLbC/out-3.png"
  ],
  "started_at": "2024-09-04T03:14:30.814329Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/tsq6s9pd29rm00chqc39trcx98",
    "cancel": "https://api.replicate.com/v1/predictions/tsq6s9pd29rm00chqc39trcx98/cancel"
  },
  "version": "ff09adf40f03d06baec0178cfe1d16fe784c1870883ce9c15f26770935170dc5"
}

Generated in

44.4 seconds

Tweak it ShareReport

Using seed: 37987
Prompt: a photo of barricadettv posing for the camera in an old magic shop, photorealistic, film, 35mm
txt2img mode
Using dev model
free=9577815539712
Downloading weights
2024-09-04T03:14:30Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp8qqcalos/weights url=https://replicate.delivery/yhqm/mXirwZeJvYXxGqPs2AxLsyoPqcfNfKCuU2jyAZbIhBHZZvymA/trained_model.tar
2024-09-04T03:14:33Z | INFO  | [ Complete ] dest=/tmp/tmp8qqcalos/weights size="172 MB" total_elapsed=2.414s url=https://replicate.delivery/yhqm/mXirwZeJvYXxGqPs2AxLsyoPqcfNfKCuU2jyAZbIhBHZZvymA/trained_model.tar
Downloaded weights in 2.45s
Loaded LoRAs in 11.75s
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:01<00:29,  1.07s/it]
  7%|▋         | 2/28 [00:01<00:24,  1.05it/s]
 11%|█         | 3/28 [00:03<00:25,  1.01s/it]
 14%|█▍        | 4/28 [00:04<00:24,  1.04s/it]
 18%|█▊        | 5/28 [00:05<00:24,  1.05s/it]
 21%|██▏       | 6/28 [00:06<00:23,  1.06s/it]
 25%|██▌       | 7/28 [00:07<00:22,  1.07s/it]
 29%|██▊       | 8/28 [00:08<00:21,  1.07s/it]
 32%|███▏      | 9/28 [00:09<00:20,  1.08s/it]
 36%|███▌      | 10/28 [00:10<00:19,  1.08s/it]
 39%|███▉      | 11/28 [00:11<00:18,  1.08s/it]
 43%|████▎     | 12/28 [00:12<00:17,  1.08s/it]
 46%|████▋     | 13/28 [00:13<00:16,  1.08s/it]
 50%|█████     | 14/28 [00:14<00:15,  1.08s/it]
 54%|█████▎    | 15/28 [00:15<00:14,  1.08s/it]
 57%|█████▋    | 16/28 [00:17<00:12,  1.08s/it]
 61%|██████    | 17/28 [00:18<00:11,  1.08s/it]
 64%|██████▍   | 18/28 [00:19<00:10,  1.08s/it]
 68%|██████▊   | 19/28 [00:20<00:09,  1.08s/it]
 71%|███████▏  | 20/28 [00:21<00:08,  1.08s/it]
 75%|███████▌  | 21/28 [00:22<00:07,  1.08s/it]
 79%|███████▊  | 22/28 [00:23<00:06,  1.08s/it]
 82%|████████▏ | 23/28 [00:24<00:05,  1.08s/it]
 86%|████████▌ | 24/28 [00:25<00:04,  1.08s/it]
 89%|████████▉ | 25/28 [00:26<00:03,  1.08s/it]
 93%|█████████▎| 26/28 [00:27<00:02,  1.08s/it]
 96%|█████████▋| 27/28 [00:28<00:01,  1.08s/it]
100%|██████████| 28/28 [00:30<00:00,  1.08s/it]
100%|██████████| 28/28 [00:30<00:00,  1.07s/it]
Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.
NSFW content detected in image 2

Want to make some of these yourself?

Run this model