cloneofsimo / vintedois_lora

width: 512
height: 512
prompt: Portrait of <1>, Psychedelic wires laughing elderly <1> - 4k uhd, hyper detailed, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition
lora_urls: https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors
scheduler: DPMSolverMultistep
lora_scales: 0.6
num_outputs: 1
guidance_scale: "5"
negative_prompt: blurry, bad anatomy, blurred, watermark, grainy, signature
num_inference_steps: "30"

{
  "width": 512,
  "height": 512,
  "prompt": "Portrait of <1>, Psychedelic wires laughing elderly <1> - 4k uhd, hyper detailed, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
  "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
  "scheduler": "DPMSolverMultistep",
  "lora_scales": "0.6",
  "num_outputs": 1,
  "guidance_scale": "5",
  "negative_prompt": "blurry, bad anatomy, blurred, watermark, grainy, signature",
  "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 cloneofsimo/vintedois_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cloneofsimo/vintedois_lora:2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "Portrait of <1>, Psychedelic wires laughing elderly <1> - 4k uhd, hyper detailed, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
      lora_urls: "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
      scheduler: "DPMSolverMultistep",
      lora_scales: "0.6",
      num_outputs: 1,
      guidance_scale: "5",
      negative_prompt: "blurry, bad anatomy, blurred, watermark, grainy, signature",
      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 cloneofsimo/vintedois_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cloneofsimo/vintedois_lora:2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2",
    input={
        "width": 512,
        "height": 512,
        "prompt": "Portrait of <1>, Psychedelic wires laughing elderly <1> - 4k uhd, hyper detailed, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
        "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
        "scheduler": "DPMSolverMultistep",
        "lora_scales": "0.6",
        "num_outputs": 1,
        "guidance_scale": "5",
        "negative_prompt": "blurry, bad anatomy, blurred, watermark, grainy, signature",
        "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 cloneofsimo/vintedois_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": "cloneofsimo/vintedois_lora:2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "Portrait of <1>, Psychedelic wires laughing elderly <1> - 4k uhd, hyper detailed, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
      "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
      "scheduler": "DPMSolverMultistep",
      "lora_scales": "0.6",
      "num_outputs": 1,
      "guidance_scale": "5",
      "negative_prompt": "blurry, bad anatomy, blurred, watermark, grainy, signature",
      "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": "2023-02-09T22:29:28.677754Z",
  "created_at": "2023-02-09T22:29:20.890815Z",
  "data_removed": false,
  "error": null,
  "id": "xxnel5wfofd3hnd3nw3txrqwfm",
  "input": {
    "width": 512,
    "height": 512,
    "prompt": "Portrait of <1>, Psychedelic wires laughing elderly <1> - 4k uhd, hyper detailed, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
    "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
    "scheduler": "DPMSolverMultistep",
    "lora_scales": "0.6",
    "num_outputs": 1,
    "guidance_scale": "5",
    "negative_prompt": "blurry, bad anatomy, blurred, watermark, grainy, signature",
    "num_inference_steps": "30"
  },
  "logs": "Using seed: 46522\nThe requested LoRAs are loaded.\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:08,  3.42it/s]\n  7%|▋         | 2/30 [00:00<00:06,  4.05it/s]\n 10%|█         | 3/30 [00:00<00:06,  4.35it/s]\n 13%|█▎        | 4/30 [00:00<00:05,  4.50it/s]\n 17%|█▋        | 5/30 [00:01<00:05,  4.56it/s]\n 20%|██        | 6/30 [00:01<00:05,  4.55it/s]\n 23%|██▎       | 7/30 [00:01<00:05,  4.60it/s]\n 27%|██▋       | 8/30 [00:01<00:04,  4.62it/s]\n 30%|███       | 9/30 [00:01<00:04,  4.66it/s]\n 33%|███▎      | 10/30 [00:02<00:04,  4.62it/s]\n 37%|███▋      | 11/30 [00:02<00:04,  4.60it/s]\n 40%|████      | 12/30 [00:02<00:03,  4.63it/s]\n 43%|████▎     | 13/30 [00:02<00:03,  4.65it/s]\n 47%|████▋     | 14/30 [00:03<00:03,  4.66it/s]\n 50%|█████     | 15/30 [00:03<00:03,  4.63it/s]\n 53%|█████▎    | 16/30 [00:03<00:03,  4.61it/s]\n 57%|█████▋    | 17/30 [00:03<00:02,  4.62it/s]\n 60%|██████    | 18/30 [00:03<00:02,  4.64it/s]\n 63%|██████▎   | 19/30 [00:04<00:02,  4.62it/s]\n 67%|██████▋   | 20/30 [00:04<00:02,  4.61it/s]\n 70%|███████   | 21/30 [00:04<00:01,  4.61it/s]\n 73%|███████▎  | 22/30 [00:04<00:01,  4.62it/s]\n 77%|███████▋  | 23/30 [00:05<00:01,  4.64it/s]\n 80%|████████  | 24/30 [00:05<00:01,  4.63it/s]\n 83%|████████▎ | 25/30 [00:05<00:01,  4.62it/s]\n 87%|████████▋ | 26/30 [00:05<00:00,  4.62it/s]\n 90%|█████████ | 27/30 [00:05<00:00,  4.64it/s]\n 93%|█████████▎| 28/30 [00:06<00:00,  4.60it/s]\n 97%|█████████▋| 29/30 [00:06<00:00,  4.59it/s]\n100%|██████████| 30/30 [00:06<00:00,  4.62it/s]\n100%|██████████| 30/30 [00:06<00:00,  4.58it/s]",
  "metrics": {
    "predict_time": 7.718871,
    "total_time": 7.786939
  },
  "output": [
    "https://replicate.delivery/pbxt/k4rKm7fujnWXHiRFUqrmFLI1Fx0fZpNGKFVwZFCNFh2HXycQA/out-0.png"
  ],
  "started_at": "2023-02-09T22:29:20.958883Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/xxnel5wfofd3hnd3nw3txrqwfm",
    "cancel": "https://api.replicate.com/v1/predictions/xxnel5wfofd3hnd3nw3txrqwfm/cancel"
  },
  "version": "2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2"
}

Generated in

7.7 seconds

Tweak it ShareReport

Prediction

cloneofsimo/vintedois_lora:2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2

Model

cloneofsimo/vintedois_lora:2a7199fe

r7fivxppnnh7jbz47v3jnsgbty

Status

Succeeded

Source

Web

Hardware

–

Total duration

10.7s

Created

over 2 years ago

Input

width: 512
height: 512
prompt: close up portrait of <1> in a Sci Fi suit - 4k uhd, hyper detailed, photorealistic, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition
lora_urls: https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors
scheduler: DPMSolverMultistep
lora_scales: 0.5
num_outputs: 1
guidance_scale: "7"
negative_prompt: blurry, bad anatomy, blurred, watermark, grainy, signature
num_inference_steps: "30"

{
  "width": 512,
  "height": 512,
  "prompt": "close up portrait of <1> in a Sci Fi suit - 4k uhd, hyper detailed, photorealistic, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
  "lora_urls": "https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors",
  "scheduler": "DPMSolverMultistep",
  "lora_scales": "0.5",
  "num_outputs": 1,
  "guidance_scale": "7",
  "negative_prompt": "blurry, bad anatomy, blurred, watermark, grainy, signature",
  "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 cloneofsimo/vintedois_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cloneofsimo/vintedois_lora:2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "close up portrait of <1> in a Sci Fi suit - 4k uhd, hyper detailed, photorealistic, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
      lora_urls: "https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors",
      scheduler: "DPMSolverMultistep",
      lora_scales: "0.5",
      num_outputs: 1,
      guidance_scale: "7",
      negative_prompt: "blurry, bad anatomy, blurred, watermark, grainy, signature",
      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 cloneofsimo/vintedois_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cloneofsimo/vintedois_lora:2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2",
    input={
        "width": 512,
        "height": 512,
        "prompt": "close up portrait of <1> in a Sci Fi suit - 4k uhd, hyper detailed, photorealistic, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
        "lora_urls": "https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors",
        "scheduler": "DPMSolverMultistep",
        "lora_scales": "0.5",
        "num_outputs": 1,
        "guidance_scale": "7",
        "negative_prompt": "blurry, bad anatomy, blurred, watermark, grainy, signature",
        "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 cloneofsimo/vintedois_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": "cloneofsimo/vintedois_lora:2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "close up portrait of <1> in a Sci Fi suit - 4k uhd, hyper detailed, photorealistic, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
      "lora_urls": "https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors",
      "scheduler": "DPMSolverMultistep",
      "lora_scales": "0.5",
      "num_outputs": 1,
      "guidance_scale": "7",
      "negative_prompt": "blurry, bad anatomy, blurred, watermark, grainy, signature",
      "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": "2023-02-09T22:30:30.027937Z",
  "created_at": "2023-02-09T22:30:19.309173Z",
  "data_removed": false,
  "error": null,
  "id": "r7fivxppnnh7jbz47v3jnsgbty",
  "input": {
    "width": 512,
    "height": 512,
    "prompt": "close up portrait of <1> in a Sci Fi suit - 4k uhd, hyper detailed, photorealistic, steampunk, lovecraft colors, dan mumford colors, psychedelic black light, epic composition",
    "lora_urls": "https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors",
    "scheduler": "DPMSolverMultistep",
    "lora_scales": "0.5",
    "num_outputs": 1,
    "guidance_scale": "7",
    "negative_prompt": "blurry, bad anatomy, blurred, watermark, grainy, signature",
    "num_inference_steps": "30"
  },
  "logs": "Using seed: 25844\nUsing disk cache...\nEmbedding <s1> replaced to <s0-0>\nEmbedding <s2> replaced to <s0-1>\n<s0-0>\nThe tokenizer already contains the token <s0-0>.\nReplacing <s0-0> embedding.\n<s0-1>\nThe tokenizer already contains the token <s0-1>.\nReplacing <s0-1> embedding.\nmerging time: 3.018888473510742\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:07,  3.78it/s]\n  7%|▋         | 2/30 [00:00<00:06,  4.26it/s]\n 10%|█         | 3/30 [00:00<00:06,  4.45it/s]\n 13%|█▎        | 4/30 [00:00<00:05,  4.57it/s]\n 17%|█▋        | 5/30 [00:01<00:05,  4.56it/s]\n 20%|██        | 6/30 [00:01<00:05,  4.54it/s]\n 23%|██▎       | 7/30 [00:01<00:05,  4.60it/s]\n 27%|██▋       | 8/30 [00:01<00:04,  4.62it/s]\n 30%|███       | 9/30 [00:01<00:04,  4.67it/s]\n 33%|███▎      | 10/30 [00:02<00:04,  4.63it/s]\n 37%|███▋      | 11/30 [00:02<00:04,  4.59it/s]\n 40%|████      | 12/30 [00:02<00:03,  4.64it/s]\n 43%|████▎     | 13/30 [00:02<00:03,  4.66it/s]\n 47%|████▋     | 14/30 [00:03<00:03,  4.66it/s]\n 50%|█████     | 15/30 [00:03<00:03,  4.64it/s]\n 53%|█████▎    | 16/30 [00:03<00:03,  4.61it/s]\n 57%|█████▋    | 17/30 [00:03<00:02,  4.60it/s]\n 60%|██████    | 18/30 [00:03<00:02,  4.63it/s]\n 63%|██████▎   | 19/30 [00:04<00:02,  4.63it/s]\n 67%|██████▋   | 20/30 [00:04<00:02,  4.63it/s]\n 70%|███████   | 21/30 [00:04<00:01,  4.65it/s]\n 73%|███████▎  | 22/30 [00:04<00:01,  4.62it/s]\n 77%|███████▋  | 23/30 [00:05<00:01,  4.65it/s]\n 80%|████████  | 24/30 [00:05<00:01,  4.65it/s]\n 83%|████████▎ | 25/30 [00:05<00:01,  4.62it/s]\n 87%|████████▋ | 26/30 [00:05<00:00,  4.65it/s]\n 90%|█████████ | 27/30 [00:05<00:00,  4.65it/s]\n 93%|█████████▎| 28/30 [00:06<00:00,  4.64it/s]\n 97%|█████████▋| 29/30 [00:06<00:00,  4.65it/s]\n100%|██████████| 30/30 [00:06<00:00,  4.63it/s]\n100%|██████████| 30/30 [00:06<00:00,  4.60it/s]",
  "metrics": {
    "predict_time": 10.654866,
    "total_time": 10.718764
  },
  "output": [
    "https://replicate.delivery/pbxt/boT740OghXpnJNNSdOIQj05413hp51yzGExlfvOgWN1CMZOIA/out-0.png"
  ],
  "started_at": "2023-02-09T22:30:19.373071Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/r7fivxppnnh7jbz47v3jnsgbty",
    "cancel": "https://api.replicate.com/v1/predictions/r7fivxppnnh7jbz47v3jnsgbty/cancel"
  },
  "version": "2a7199fef2ad2cf1f14056744857604b92a5c3851472d60995d0bc25f12438f2"
}

Generated in

10.7 seconds

Tweak it ShareReport

Using seed: 25844
Using disk cache...
Embedding <s1> replaced to <s0-0>
Embedding <s2> replaced to <s0-1>
<s0-0>
The tokenizer already contains the token <s0-0>.
Replacing <s0-0> embedding.
<s0-1>
The tokenizer already contains the token <s0-1>.
Replacing <s0-1> embedding.
merging time: 3.018888473510742
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 97%|█████████▋| 29/30 [00:06<00:00,  4.65it/s]
100%|██████████| 30/30 [00:06<00:00,  4.63it/s]
100%|██████████| 30/30 [00:06<00:00,  4.60it/s]

Want to make some of these yourself?

Run this model

cloneofsimo / vintedois_lora

Prediction

Input

Output

Prediction

Input

Output

Logs (xxnel5wfofd3hnd3nw3txrqwfm)

Logs (r7fivxppnnh7jbz47v3jnsgbty)