Prediction

Model

pnyompen/sd-controlnet-lora:45f27d98

j8t1g5qansrga0cgw6ms46dy3r

Status

Succeeded

Source

Web

Hardware

Total duration

5.3s

Created

over 1 year ago

Webhook

–

Input

prompt: In the style of neon
image: https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png
img2img: true
auto_generate_caption: true
generated_caption_weight: 0.1
condition_scale: 0.5
strength: 1
ip_adapter_scale: 0.1
negative_prompt: worst quality, photorealistic
num_inference_steps: 15
num_outputs: 1
scheduler: KarrasDPM
guidance_scale: 7.5
lora_scale: 0.95

{
  "auto_generate_caption": true,
  "condition_scale": 0.5,
  "generated_caption_weight": 0.1,
  "guidance_scale": 7.5,
  "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
  "img2img": true,
  "ip_adapter_scale": 0.1,
  "lora_scale": 0.95,
  "negative_prompt": "worst quality, photorealistic ",
  "num_inference_steps": 15,
  "num_outputs": 1,
  "prompt": "In the style of neon",
  "scheduler": "KarrasDPM",
  "strength": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_f0Q**********************************

This is your API token. Keep it to yourself.

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 pnyompen/sd-controlnet-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pnyompen/sd-controlnet-lora:45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244",
  {
    input: {
      auto_generate_caption: true,
      condition_scale: 0.5,
      generated_caption_weight: 0.1,
      guidance_scale: 7.5,
      image: "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
      img2img: true,
      ip_adapter_scale: 0.1,
      lora_scale: 0.95,
      negative_prompt: "worst quality, photorealistic ",
      num_inference_steps: 15,
      num_outputs: 1,
      prompt: "In the style of neon",
      scheduler: "KarrasDPM",
      strength: 1
    }
  }
);

// 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=r8_f0Q**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run pnyompen/sd-controlnet-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pnyompen/sd-controlnet-lora:45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244",
    input={
        "auto_generate_caption": True,
        "condition_scale": 0.5,
        "generated_caption_weight": 0.1,
        "guidance_scale": 7.5,
        "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
        "img2img": True,
        "ip_adapter_scale": 0.1,
        "lora_scale": 0.95,
        "negative_prompt": "worst quality, photorealistic ",
        "num_inference_steps": 15,
        "num_outputs": 1,
        "prompt": "In the style of neon",
        "scheduler": "KarrasDPM",
        "strength": 1
    }
)

# 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_f0Q**********************************

This is your API token. Keep it to yourself.

Run pnyompen/sd-controlnet-lora 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": "pnyompen/sd-controlnet-lora:45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244",
    "input": {
      "auto_generate_caption": true,
      "condition_scale": 0.5,
      "generated_caption_weight": 0.1,
      "guidance_scale": 7.5,
      "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
      "img2img": true,
      "ip_adapter_scale": 0.1,
      "lora_scale": 0.95,
      "negative_prompt": "worst quality, photorealistic ",
      "num_inference_steps": 15,
      "num_outputs": 1,
      "prompt": "In the style of neon",
      "scheduler": "KarrasDPM",
      "strength": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "j8t1g5qansrga0cgw6ms46dy3r",
  "model": "pnyompen/sd-controlnet-lora",
  "version": "45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244",
  "input": {
    "auto_generate_caption": true,
    "condition_scale": 0.5,
    "generated_caption_weight": 0.1,
    "guidance_scale": 7.5,
    "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
    "img2img": true,
    "ip_adapter_scale": 0.1,
    "lora_scale": 0.95,
    "negative_prompt": "worst quality, photorealistic ",
    "num_inference_steps": 15,
    "num_outputs": 1,
    "prompt": "In the style of neon",
    "scheduler": "KarrasDPM",
    "strength": 1
  },
  "logs": "Using seed: 23783\nOriginal width:1024, height:1024\nAspect Ratio: 1.00\nnew_width:512, new_height:512\nauto_generate_caption mode\nGenerating captions\nGenerated captions ['brunette woman with long hair in colorful shirt standing in street surrounded by cars']\nGenerating captions took:  0.5154166221618652\nPrompt: (\"In the style of neon\", \"brunette woman with long hair in colorful shirt standing in street surrounded by cars\").blend(1, 0.1)\nimg2img mode\n  0%|          | 0/15 [00:00<?, ?it/s]\n  7%|▋         | 1/15 [00:00<00:01,  9.81it/s]\n 13%|█▎        | 2/15 [00:00<00:02,  5.83it/s]\n 20%|██        | 3/15 [00:00<00:02,  5.22it/s]\n 27%|██▋       | 4/15 [00:00<00:02,  4.78it/s]\n 33%|███▎      | 5/15 [00:01<00:02,  4.61it/s]\n 40%|████      | 6/15 [00:01<00:01,  4.59it/s]\n 47%|████▋     | 7/15 [00:01<00:01,  4.57it/s]\n 53%|█████▎    | 8/15 [00:01<00:01,  4.52it/s]\n 60%|██████    | 9/15 [00:01<00:01,  4.40it/s]\n 67%|██████▋   | 10/15 [00:02<00:01,  4.44it/s]\n 73%|███████▎  | 11/15 [00:02<00:00,  4.45it/s]\n 80%|████████  | 12/15 [00:02<00:00,  4.46it/s]\n 87%|████████▋ | 13/15 [00:02<00:00,  4.40it/s]\n 93%|█████████▎| 14/15 [00:03<00:00,  4.38it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.41it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.59it/s]",
  "output": [
    "https://replicate.delivery/czjl/SsNZFCf5nR08PKuVCUqrL0xTJuw8zOJUfmIEJ07WRPvE2dLTA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-07-23T22:15:27.662Z",
  "started_at": "2024-07-23T22:15:27.67882Z",
  "completed_at": "2024-07-23T22:15:32.956759Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/j8t1g5qansrga0cgw6ms46dy3r/cancel",
    "get": "https://api.replicate.com/v1/predictions/j8t1g5qansrga0cgw6ms46dy3r",
    "web": "https://replicate.com/p/j8t1g5qansrga0cgw6ms46dy3r"
  },
  "metrics": {
    "predict_time": 5.277938422,
    "total_time": 5.294759
  }
}

Generated in

5.3 seconds

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