Prediction

ID

nsqe78gr5srge0cgw6k8pbv89g

Status

Succeeded

Source

Web

Hardware

T4

Total duration

5.1s

Created

10 months ago

Input

image
prompt: An astronaut riding a rainbow unicorn, In the style of oil painting
img2img
strength: 1
scheduler: KarrasDPM
lora_scale: 0.95
num_outputs: 1
guidance_scale: 7.5
condition_scale: 0.5
negative_prompt: worst quality, photorealistic
ip_adapter_scale: 0.1
num_inference_steps: 15
auto_generate_caption
generated_caption_weight: 0.1

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

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

// 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.

pip install replicate

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={
        "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
        "prompt": "An astronaut riding a rainbow unicorn, In the style of oil painting",
        "img2img": True,
        "strength": 1,
        "scheduler": "KarrasDPM",
        "lora_scale": 0.95,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "condition_scale": 0.5,
        "negative_prompt": "worst quality, photorealistic ",
        "ip_adapter_scale": 0.1,
        "num_inference_steps": 15,
        "auto_generate_caption": True,
        "generated_caption_weight": 0.1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

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": {
      "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
      "prompt": "An astronaut riding a rainbow unicorn, In the style of oil painting",
      "img2img": true,
      "strength": 1,
      "scheduler": "KarrasDPM",
      "lora_scale": 0.95,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "condition_scale": 0.5,
      "negative_prompt": "worst quality, photorealistic ",
      "ip_adapter_scale": 0.1,
      "num_inference_steps": 15,
      "auto_generate_caption": true,
      "generated_caption_weight": 0.1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-07-23T22:11:22.266318Z",
  "created_at": "2024-07-23T22:11:17.166000Z",
  "data_removed": false,
  "error": null,
  "id": "nsqe78gr5srge0cgw6k8pbv89g",
  "input": {
    "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
    "prompt": "An astronaut riding a rainbow unicorn, In the style of oil painting",
    "img2img": true,
    "strength": 1,
    "scheduler": "KarrasDPM",
    "lora_scale": 0.95,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "condition_scale": 0.5,
    "negative_prompt": "worst quality, photorealistic ",
    "ip_adapter_scale": 0.1,
    "num_inference_steps": 15,
    "auto_generate_caption": true,
    "generated_caption_weight": 0.1
  },
  "logs": "Using seed: 60585\nOriginal width:1024, height:1024\nAspect Ratio: 1.00\nnew_width:512, new_height:512\nauto_generate_caption mode\nGenerating captions\nGenerated captions ['portrait of a beautiful young woman in a city street']\nGenerating captions took:  0.4332544803619385\nPrompt: (\"An astronaut riding a rainbow unicorn, In the style of oil painting\", \"portrait of a beautiful young woman in a city street\").blend(1, 0.1)\nimg2img mode\n  0%|          | 0/15 [00:00<?, ?it/s]\n  7%|▋         | 1/15 [00:00<00:01,  9.49it/s]\n 13%|█▎        | 2/15 [00:00<00:02,  6.12it/s]\n 20%|██        | 3/15 [00:00<00:02,  5.51it/s]\n 27%|██▋       | 4/15 [00:00<00:02,  5.29it/s]\n 33%|███▎      | 5/15 [00:00<00:01,  5.05it/s]\n 40%|████      | 6/15 [00:01<00:01,  4.93it/s]\n 47%|████▋     | 7/15 [00:01<00:01,  4.90it/s]\n 53%|█████▎    | 8/15 [00:01<00:01,  4.88it/s]\n 60%|██████    | 9/15 [00:01<00:01,  4.86it/s]\n 67%|██████▋   | 10/15 [00:01<00:01,  4.85it/s]\n 73%|███████▎  | 11/15 [00:02<00:00,  4.85it/s]\n 80%|████████  | 12/15 [00:02<00:00,  4.81it/s]\n 87%|████████▋ | 13/15 [00:02<00:00,  4.81it/s]\n 93%|█████████▎| 14/15 [00:02<00:00,  4.80it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.81it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.98it/s]",
  "metrics": {
    "predict_time": 5.077333746,
    "total_time": 5.100318
  },
  "output": [
    "https://replicate.delivery/czjl/mdTFmveZmU1LN6ryofjfQgTsS9YQ4zqh02UInvXlJ9jUk7WmA/out-0.png"
  ],
  "started_at": "2024-07-23T22:11:17.188984Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/nsqe78gr5srge0cgw6k8pbv89g",
    "cancel": "https://api.replicate.com/v1/predictions/nsqe78gr5srge0cgw6k8pbv89g/cancel"
  },
  "version": "45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244"
}

Generated in

5.1 seconds

pnyompen/sd-controlnet-lora:45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244

Prediction

Model

ID

3pqjgq7hb5rge0cgw6ksdgbctr

Status

Succeeded

Source

Web

Hardware

T4

Total duration

5.1s

Created

10 months ago

Input

image
prompt: In the style of anime
img2img
strength: 1
scheduler: KarrasDPM
lora_scale: 0.95
num_outputs: 1
guidance_scale: 7.5
condition_scale: 0.5
negative_prompt: worst quality, photorealistic
ip_adapter_scale: 0.1
num_inference_steps: 15
auto_generate_caption
generated_caption_weight: 0.1

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

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

// 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.

pip install replicate

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

To learn more, take a look at the guide on getting started with Python.

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

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

Output

{
  "completed_at": "2024-07-23T22:13:23.411485Z",
  "created_at": "2024-07-23T22:13:18.297000Z",
  "data_removed": false,
  "error": null,
  "id": "3pqjgq7hb5rge0cgw6ksdgbctr",
  "input": {
    "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
    "prompt": "In the style of anime",
    "img2img": true,
    "strength": 1,
    "scheduler": "KarrasDPM",
    "lora_scale": 0.95,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "condition_scale": 0.5,
    "negative_prompt": "worst quality, photorealistic ",
    "ip_adapter_scale": 0.1,
    "num_inference_steps": 15,
    "auto_generate_caption": true,
    "generated_caption_weight": 0.1
  },
  "logs": "Using seed: 51138\nOriginal width:1024, height:1024\nAspect Ratio: 1.00\nnew_width:512, new_height:512\nauto_generate_caption mode\nGenerating captions\nGenerated captions ['portrait of a woman in a shirt and necklace in a city']\nGenerating captions took:  0.40878772735595703\nPrompt: (\"In the style of anime\", \"portrait of a woman in a shirt and necklace in a city\").blend(1, 0.1)\nimg2img mode\n  0%|          | 0/15 [00:00<?, ?it/s]\n  7%|▋         | 1/15 [00:00<00:01,  9.98it/s]\n 13%|█▎        | 2/15 [00:00<00:02,  5.90it/s]\n 20%|██        | 3/15 [00:00<00:02,  5.23it/s]\n 27%|██▋       | 4/15 [00:00<00:02,  4.72it/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,  4.54it/s]\n 60%|██████    | 9/15 [00:01<00:01,  4.44it/s]\n 67%|██████▋   | 10/15 [00:02<00:01,  4.46it/s]\n 73%|███████▎  | 11/15 [00:02<00:00,  4.48it/s]\n 80%|████████  | 12/15 [00:02<00:00,  4.49it/s]\n 87%|████████▋ | 13/15 [00:02<00:00,  4.44it/s]\n 93%|█████████▎| 14/15 [00:03<00:00,  4.40it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.41it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.61it/s]",
  "metrics": {
    "predict_time": 5.099305963,
    "total_time": 5.114485
  },
  "output": [
    "https://replicate.delivery/czjl/HP59BJqpTjqWBpp4VZKjny6JlBf4f95kv5SRzYLcmbBD0dLTA/out-0.png"
  ],
  "started_at": "2024-07-23T22:13:18.312179Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3pqjgq7hb5rge0cgw6ksdgbctr",
    "cancel": "https://api.replicate.com/v1/predictions/3pqjgq7hb5rge0cgw6ksdgbctr/cancel"
  },
  "version": "45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244"
}

Generated in

5.1 seconds

pnyompen/sd-controlnet-lora:45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244

Prediction

Model

ID

w5h9tn99jxrge0cgw6mvbr94j4

Status

Succeeded

Source

Web

Hardware

T4

Total duration

5.8s

Created

10 months ago

Input

image
prompt: In the style of oil painting
img2img
strength: 1
scheduler: KarrasDPM
lora_scale: 0.95
num_outputs: 1
guidance_scale: 7.5
condition_scale: 0.5
negative_prompt: worst quality, photorealistic
ip_adapter_scale: 0.1
num_inference_steps: 15
auto_generate_caption
generated_caption_weight: 0.1

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

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

// 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.

pip install replicate

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

To learn more, take a look at the guide on getting started with Python.

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

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

Output

{
  "completed_at": "2024-07-23T22:14:43.978236Z",
  "created_at": "2024-07-23T22:14:38.231000Z",
  "data_removed": false,
  "error": null,
  "id": "w5h9tn99jxrge0cgw6mvbr94j4",
  "input": {
    "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
    "prompt": "In the style of oil painting",
    "img2img": true,
    "strength": 1,
    "scheduler": "KarrasDPM",
    "lora_scale": 0.95,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "condition_scale": 0.5,
    "negative_prompt": "worst quality, photorealistic ",
    "ip_adapter_scale": 0.1,
    "num_inference_steps": 15,
    "auto_generate_caption": true,
    "generated_caption_weight": 0.1
  },
  "logs": "Using seed: 8917\nOriginal width:1024, height:1024\nAspect Ratio: 1.00\nnew_width:512, new_height:512\nauto_generate_caption mode\nGenerating captions\nGenerated captions ['blonde haired woman in the middle of the street in an urban setting']\nGenerating captions took:  0.48294901847839355\nPrompt: (\"In the style of oil painting\", \"blonde haired woman in the middle of the street in an urban setting\").blend(1, 0.1)\nimg2img mode\n  0%|          | 0/15 [00:00<?, ?it/s]\n  7%|▋         | 1/15 [00:00<00:01,  9.91it/s]\n 13%|█▎        | 2/15 [00:00<00:02,  5.96it/s]\n 20%|██        | 3/15 [00:00<00:02,  5.26it/s]\n 27%|██▋       | 4/15 [00:00<00:02,  4.79it/s]\n 33%|███▎      | 5/15 [00:00<00:02,  4.67it/s]\n 40%|████      | 6/15 [00:01<00:01,  4.63it/s]\n 47%|████▋     | 7/15 [00:01<00:01,  4.61it/s]\n 53%|█████▎    | 8/15 [00:01<00:01,  4.56it/s]\n 60%|██████    | 9/15 [00:01<00:01,  4.45it/s]\n 67%|██████▋   | 10/15 [00:02<00:01,  4.45it/s]\n 73%|███████▎  | 11/15 [00:02<00:00,  4.46it/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,  4.39it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.40it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.61it/s]",
  "metrics": {
    "predict_time": 5.729931134,
    "total_time": 5.747236
  },
  "output": [
    "https://replicate.delivery/czjl/q2tT8iKira5kC54ETKu4ezsD3YIqccX4MxvxeFGY10enq7WmA/out-0.png"
  ],
  "started_at": "2024-07-23T22:14:38.248305Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/w5h9tn99jxrge0cgw6mvbr94j4",
    "cancel": "https://api.replicate.com/v1/predictions/w5h9tn99jxrge0cgw6mvbr94j4/cancel"
  },
  "version": "45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244"
}

Generated in

5.7 seconds

pnyompen/sd-controlnet-lora:45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244

Prediction

Model

ID

j8t1g5qansrga0cgw6ms46dy3r

Status

Succeeded

Source

Web

Hardware

T4

Total duration

5.3s

Created

10 months ago

Input

image
prompt: In the style of neon
img2img
strength: 1
scheduler: KarrasDPM
lora_scale: 0.95
num_outputs: 1
guidance_scale: 7.5
condition_scale: 0.5
negative_prompt: worst quality, photorealistic
ip_adapter_scale: 0.1
num_inference_steps: 15
auto_generate_caption
generated_caption_weight: 0.1

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

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

// 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.

pip install replicate

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

To learn more, take a look at the guide on getting started with Python.

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

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

Output

{
  "completed_at": "2024-07-23T22:15:32.956759Z",
  "created_at": "2024-07-23T22:15:27.662000Z",
  "data_removed": false,
  "error": null,
  "id": "j8t1g5qansrga0cgw6ms46dy3r",
  "input": {
    "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
    "prompt": "In the style of neon",
    "img2img": true,
    "strength": 1,
    "scheduler": "KarrasDPM",
    "lora_scale": 0.95,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "condition_scale": 0.5,
    "negative_prompt": "worst quality, photorealistic ",
    "ip_adapter_scale": 0.1,
    "num_inference_steps": 15,
    "auto_generate_caption": true,
    "generated_caption_weight": 0.1
  },
  "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]",
  "metrics": {
    "predict_time": 5.277938422,
    "total_time": 5.294759
  },
  "output": [
    "https://replicate.delivery/czjl/SsNZFCf5nR08PKuVCUqrL0xTJuw8zOJUfmIEJ07WRPvE2dLTA/out-0.png"
  ],
  "started_at": "2024-07-23T22:15:27.678820Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/j8t1g5qansrga0cgw6ms46dy3r",
    "cancel": "https://api.replicate.com/v1/predictions/j8t1g5qansrga0cgw6ms46dy3r/cancel"
  },
  "version": "45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244"
}

Generated in

5.3 seconds

pnyompen/sd-controlnet-lora:45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244

Prediction

Model

ID

2tyy4g5t65rg80cgw6nbavmw00

Status

Succeeded

Source

Web

Hardware

T4

Total duration

5.1s

Created

10 months ago

Input

image
prompt: In the style of steampunk
img2img
strength: 1
scheduler: KarrasDPM
lora_scale: 0.95
num_outputs: 1
guidance_scale: 7.5
condition_scale: 0.5
negative_prompt: worst quality, photorealistic
ip_adapter_scale: 0.1
num_inference_steps: 15
auto_generate_caption
generated_caption_weight: 0.1

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

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

// 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.

pip install replicate

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

To learn more, take a look at the guide on getting started with Python.

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

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

Output

{
  "completed_at": "2024-07-23T22:16:25.905948Z",
  "created_at": "2024-07-23T22:16:20.785000Z",
  "data_removed": false,
  "error": null,
  "id": "2tyy4g5t65rg80cgw6nbavmw00",
  "input": {
    "image": "https://replicate.delivery/pbxt/JiOTMCHj4oGrTTf8Pg2r7vyI8YdXc5jL2IDyC2SfhuggjYe6/out-0%20%281%29.png",
    "prompt": "In the style of steampunk ",
    "img2img": true,
    "strength": 1,
    "scheduler": "KarrasDPM",
    "lora_scale": 0.95,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "condition_scale": 0.5,
    "negative_prompt": "worst quality, photorealistic ",
    "ip_adapter_scale": 0.1,
    "num_inference_steps": 15,
    "auto_generate_caption": true,
    "generated_caption_weight": 0.1
  },
  "logs": "Using seed: 61559\nOriginal width:1024, height:1024\nAspect Ratio: 1.00\nnew_width:512, new_height:512\nauto_generate_caption mode\nGenerating captions\nGenerated captions ['blond woman with blue eyes standing on city street at dusk']\nGenerating captions took:  0.4014008045196533\nPrompt: (\"In the style of steampunk \", \"blond woman with blue eyes standing on city street at dusk\").blend(1, 0.1)\nimg2img mode\n  0%|          | 0/15 [00:00<?, ?it/s]\n  7%|▋         | 1/15 [00:00<00:01,  9.94it/s]\n 13%|█▎        | 2/15 [00:00<00:02,  5.95it/s]\n 20%|██        | 3/15 [00:00<00:02,  5.26it/s]\n 27%|██▋       | 4/15 [00:00<00:02,  4.83it/s]\n 33%|███▎      | 5/15 [00:00<00:02,  4.67it/s]\n 40%|████      | 6/15 [00:01<00:01,  4.61it/s]\n 47%|████▋     | 7/15 [00:01<00:01,  4.58it/s]\n 53%|█████▎    | 8/15 [00:01<00:01,  4.56it/s]\n 60%|██████    | 9/15 [00:01<00:01,  4.48it/s]\n 67%|██████▋   | 10/15 [00:02<00:01,  4.50it/s]\n 73%|███████▎  | 11/15 [00:02<00:00,  4.50it/s]\n 80%|████████  | 12/15 [00:02<00:00,  4.51it/s]\n 87%|████████▋ | 13/15 [00:02<00:00,  4.46it/s]\n 93%|█████████▎| 14/15 [00:03<00:00,  4.48it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.49it/s]\n100%|██████████| 15/15 [00:03<00:00,  4.65it/s]",
  "metrics": {
    "predict_time": 5.096592766,
    "total_time": 5.120948
  },
  "output": [
    "https://replicate.delivery/czjl/ZKDzBX5VOUZFLN3svMxQkSEpUodXR94X8CjWLm16CQcud3yE/out-0.png"
  ],
  "started_at": "2024-07-23T22:16:20.809355Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/2tyy4g5t65rg80cgw6nbavmw00",
    "cancel": "https://api.replicate.com/v1/predictions/2tyy4g5t65rg80cgw6nbavmw00/cancel"
  },
  "version": "45f27d985ae0409c990d1c23cbb9656f3ef8ed826078dd606b3af243e09d6244"
}

Generated in

5.1 seconds