cloneofsimo/gta5_lora:510cd147 – Run with an API on Replicate

Version

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cloneofsimo /gta5_lora:510cd147

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt. Use <1>, <2>, <3>, etc., to specify LoRA concepts

Default: "a photo of <1> riding a horse on mars"

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output

Default: ""

width

integer

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

height

integer

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

scheduler

string

Choose a scheduler.

Default: "DPMSolverMultistep"

lora_urls

string

Shift + Return to add a new line

https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensorshttps://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors

List of urls for safetensors of lora models, seperated with | . If provided, it will override all above options.

Default: ""

lora_scales

string

Shift + Return to add a new line

List of scales for safetensors of lora models, seperated with |

Default: "0.3"

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=cloneofsimo/gta5_lora

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";

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

Run cloneofsimo/gta5_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cloneofsimo/gta5_lora:510cd14734751629cdd247aa8f46bdbed91043302a3a4c9fd0d02b71b4f42dd1",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "a photo of <1> gtav style",
      lora_urls: "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
      scheduler: "DPMSolverMultistep",
      lora_scales: "0.3",
      num_outputs: 1,
      guidance_scale: 7.5,
      negative_prompt: "",
      num_inference_steps: 50
    }
  }
);

// 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 cloneofsimo/gta5_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cloneofsimo/gta5_lora:510cd14734751629cdd247aa8f46bdbed91043302a3a4c9fd0d02b71b4f42dd1",
    input={
        "width": 512,
        "height": 512,
        "prompt": "a photo of <1> gtav style",
        "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
        "scheduler": "DPMSolverMultistep",
        "lora_scales": "0.3",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "negative_prompt": "",
        "num_inference_steps": 50
    }
)
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 cloneofsimo/gta5_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/gta5_lora:510cd14734751629cdd247aa8f46bdbed91043302a3a4c9fd0d02b71b4f42dd1",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "a photo of <1> gtav style",
      "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
      "scheduler": "DPMSolverMultistep",
      "lora_scales": "0.3",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "negative_prompt": "",
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-02-07T12:23:47.003961Z",
  "created_at": "2023-02-07T12:18:39.363405Z",
  "data_removed": false,
  "error": null,
  "id": "326cs4pgdbhxbku3acyd4tvlna",
  "input": {
    "width": 512,
    "height": 512,
    "prompt": "a photo of <1> gtav style",
    "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
    "scheduler": "DPMSolverMultistep",
    "lora_scales": "0.3",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 34243\nDownloading LoRA model... from https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors\nEmbedding <s1> replaced to <s0-0>\nEmbedding <s2> replaced to <s0-1>\nSaved at a19abd9d90155444e77213ffdb9df509104c355cf2070e66c289ca10190d119b7247ec08de67cee71cbafc02e4d35a005a68eba909b4cce697fe7b695de4b355.safetensors\nmerging time: 0.04404568672180176\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.\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.71it/s]\n  4%|▍         | 2/50 [00:00<00:10,  4.37it/s]\n  6%|▌         | 3/50 [00:00<00:10,  4.68it/s]\n  8%|▊         | 4/50 [00:00<00:09,  4.86it/s]\n 10%|█         | 5/50 [00:01<00:09,  4.93it/s]\n 12%|█▏        | 6/50 [00:01<00:08,  4.96it/s]\n 14%|█▍        | 7/50 [00:01<00:08,  5.00it/s]\n 16%|█▌        | 8/50 [00:01<00:08,  5.02it/s]\n 18%|█▊        | 9/50 [00:01<00:08,  5.05it/s]\n 20%|██        | 10/50 [00:02<00:07,  5.07it/s]\n 22%|██▏       | 11/50 [00:02<00:07,  5.06it/s]\n 24%|██▍       | 12/50 [00:02<00:07,  5.05it/s]\n 26%|██▌       | 13/50 [00:02<00:07,  5.07it/s]\n 28%|██▊       | 14/50 [00:02<00:07,  5.08it/s]\n 30%|███       | 15/50 [00:03<00:06,  5.08it/s]\n 32%|███▏      | 16/50 [00:03<00:06,  5.08it/s]\n 34%|███▍      | 17/50 [00:03<00:06,  5.07it/s]\n 36%|███▌      | 18/50 [00:03<00:06,  5.06it/s]\n 38%|███▊      | 19/50 [00:03<00:06,  5.06it/s]\n 40%|████      | 20/50 [00:04<00:05,  5.05it/s]\n 42%|████▏     | 21/50 [00:04<00:05,  5.06it/s]\n 44%|████▍     | 22/50 [00:04<00:05,  5.06it/s]\n 46%|████▌     | 23/50 [00:04<00:05,  5.05it/s]\n 48%|████▊     | 24/50 [00:04<00:05,  5.04it/s]\n 50%|█████     | 25/50 [00:05<00:04,  5.06it/s]\n 52%|█████▏    | 26/50 [00:05<00:04,  5.06it/s]\n 54%|█████▍    | 27/50 [00:05<00:04,  5.06it/s]\n 56%|█████▌    | 28/50 [00:05<00:04,  5.04it/s]\n 58%|█████▊    | 29/50 [00:05<00:04,  5.04it/s]\n 60%|██████    | 30/50 [00:05<00:03,  5.06it/s]\n 62%|██████▏   | 31/50 [00:06<00:03,  5.07it/s]\n 64%|██████▍   | 32/50 [00:06<00:03,  5.05it/s]\n 66%|██████▌   | 33/50 [00:06<00:03,  5.05it/s]\n 68%|██████▊   | 34/50 [00:06<00:03,  5.07it/s]\n 70%|███████   | 35/50 [00:06<00:02,  5.07it/s]\n 72%|███████▏  | 36/50 [00:07<00:02,  5.07it/s]\n 74%|███████▍  | 37/50 [00:07<00:02,  5.08it/s]\n 76%|███████▌  | 38/50 [00:07<00:02,  5.08it/s]\n 78%|███████▊  | 39/50 [00:07<00:02,  5.06it/s]\n 80%|████████  | 40/50 [00:07<00:01,  5.07it/s]\n 82%|████████▏ | 41/50 [00:08<00:01,  5.08it/s]\n 84%|████████▍ | 42/50 [00:08<00:01,  5.07it/s]\n 86%|████████▌ | 43/50 [00:08<00:01,  5.07it/s]\n 88%|████████▊ | 44/50 [00:08<00:01,  5.05it/s]\n 90%|█████████ | 45/50 [00:08<00:00,  5.06it/s]\n 92%|█████████▏| 46/50 [00:09<00:00,  5.07it/s]\n 94%|█████████▍| 47/50 [00:09<00:00,  5.06it/s]\n 96%|█████████▌| 48/50 [00:09<00:00,  5.05it/s]\n 98%|█████████▊| 49/50 [00:09<00:00,  5.03it/s]\n100%|██████████| 50/50 [00:09<00:00,  5.04it/s]\n100%|██████████| 50/50 [00:09<00:00,  5.03it/s]",
  "metrics": {
    "predict_time": 13.025214,
    "total_time": 307.640556
  },
  "output": [
    "https://replicate.delivery/pbxt/cSmt4kc1qALpLReNU1OS67BskmlogVo8trBzjktCAf9STf3gA/out-0.png"
  ],
  "started_at": "2023-02-07T12:23:33.978747Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/326cs4pgdbhxbku3acyd4tvlna",
    "cancel": "https://api.replicate.com/v1/predictions/326cs4pgdbhxbku3acyd4tvlna/cancel"
  },
  "version": "510cd14734751629cdd247aa8f46bdbed91043302a3a4c9fd0d02b71b4f42dd1"
}

Generated in

13.0 seconds

Tweak itReport

Using seed: 34243
Downloading LoRA model... from https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors
Embedding <s1> replaced to <s0-0>
Embedding <s2> replaced to <s0-1>
Saved at a19abd9d90155444e77213ffdb9df509104c355cf2070e66c289ca10190d119b7247ec08de67cee71cbafc02e4d35a005a68eba909b4cce697fe7b695de4b355.safetensors
merging time: 0.04404568672180176
<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.
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