typetext
{
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 90,
"prompt": "A sketch of a mouse character in the style of TOK. The character is whistling a happy tune and wearing a captains hat. The character is on an old shrimp boat holding the steering wheel.",
"prompt_strength": 0.8
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_PN9**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run crivera/sketch-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"crivera/sketch-lora:32d7a493bcbd5212bf43e6a3f48b7ba716f9f159eabd13ccdbe5d0bcd747ff08",
{
input: {
aspect_ratio: "1:1",
extra_lora_scale: 1,
guidance_scale: 3.5,
lora_scale: 1,
model: "dev",
num_inference_steps: 28,
num_outputs: 1,
output_format: "webp",
output_quality: 90,
prompt: "A sketch of a mouse character in the style of TOK. The character is whistling a happy tune and wearing a captains hat. The character is on an old shrimp boat holding the steering wheel.",
prompt_strength: 0.8
}
}
);
// 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
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_PN9**********************************
This is your API token. Keep it to yourself.
import replicate
Run crivera/sketch-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"crivera/sketch-lora:32d7a493bcbd5212bf43e6a3f48b7ba716f9f159eabd13ccdbe5d0bcd747ff08",
input={
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 90,
"prompt": "A sketch of a mouse character in the style of TOK. The character is whistling a happy tune and wearing a captains hat. The character is on an old shrimp boat holding the steering wheel.",
"prompt_strength": 0.8
}
)
# 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.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_PN9**********************************
This is your API token. Keep it to yourself.
Run crivera/sketch-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": "crivera/sketch-lora:32d7a493bcbd5212bf43e6a3f48b7ba716f9f159eabd13ccdbe5d0bcd747ff08",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 90,
"prompt": "A sketch of a mouse character in the style of TOK. The character is whistling a happy tune and wearing a captains hat. The character is on an old shrimp boat holding the steering wheel.",
"prompt_strength": 0.8
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "w2zwk1ym0xrm60chtyn89zb118",
"model": "crivera/sketch-lora",
"version": "32d7a493bcbd5212bf43e6a3f48b7ba716f9f159eabd13ccdbe5d0bcd747ff08",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 90,
"prompt": "A sketch of a mouse character in the style of TOK. The character is whistling a happy tune and wearing a captains hat. The character is on an old shrimp boat holding the steering wheel.",
"prompt_strength": 0.8
},
"logs": "Using seed: 56285\nPrompt: A sketch of a mouse character in the style of TOK. The character is whistling a happy tune and wearing a captains hat. The character is on an old shrimp boat holding the steering wheel.\n[!] txt2img mode\nUsing dev model\nfree=9266474115072\nDownloading weights\n2024-09-09T16:43:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsnjutrv1/weights url=https://replicate.delivery/yhqm/e0KqeYrcwAimh0RPBeEQJa5MJEct4Ja85wfcValQsK5S9ysNB/trained_model.tar\n2024-09-09T16:43:07Z | INFO | [ Complete ] dest=/tmp/tmpsnjutrv1/weights size=\"172 MB\" total_elapsed=3.201s url=https://replicate.delivery/yhqm/e0KqeYrcwAimh0RPBeEQJa5MJEct4Ja85wfcValQsK5S9ysNB/trained_model.tar\nDownloaded weights in 3.24s\nLoaded LoRAs in 10.05s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.76it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.25it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.01it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.91it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.78it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.77it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.76it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.76it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.76it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.76it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.76it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.76it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.76it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.76it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.76it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]",
"output": [
"https://replicate.delivery/yhqm/M0rhRGKILTYsDJtJ5mjwKNTxw0hFeovKje5PtwBde58S9a2mA/out-0.webp"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-09-09T16:43:02.535Z",
"started_at": "2024-09-09T16:43:03.803847Z",
"completed_at": "2024-09-09T16:43:21.799183Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/w2zwk1ym0xrm60chtyn89zb118/cancel",
"get": "https://api.replicate.com/v1/predictions/w2zwk1ym0xrm60chtyn89zb118",
"web": "https://replicate.com/p/w2zwk1ym0xrm60chtyn89zb118"
},
"metrics": {
"predict_time": 17.99533656,
"total_time": 19.264183
}
}