typetext
{
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"hf_loras": [
"https://replicate.delivery/yhqm/xIUPCppeslXbaC6D8hzONTPKFURik2zRMLmmif0GRq2f55lmA/trained_model.tar",
"alvdansen/softserve_anime"
],
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "png",
"output_quality": 80,
"prompt": "a photo of TOK, sftsrv style"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Qqo**********************************
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 lucataco/flux-dev-multi-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/flux-dev-multi-lora:3de6b583ede26d67e96fe222b68fd249545e38509a66a3feee435ae961b4b842",
{
input: {
aspect_ratio: "1:1",
guidance_scale: 3.5,
hf_loras: ["https://replicate.delivery/yhqm/xIUPCppeslXbaC6D8hzONTPKFURik2zRMLmmif0GRq2f55lmA/trained_model.tar","alvdansen/softserve_anime"],
num_inference_steps: 28,
num_outputs: 1,
output_format: "png",
output_quality: 80,
prompt: "a photo of TOK, sftsrv style"
}
}
);
// 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_Qqo**********************************
This is your API token. Keep it to yourself.
import replicate
Run lucataco/flux-dev-multi-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/flux-dev-multi-lora:3de6b583ede26d67e96fe222b68fd249545e38509a66a3feee435ae961b4b842",
input={
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"hf_loras": ["https://replicate.delivery/yhqm/xIUPCppeslXbaC6D8hzONTPKFURik2zRMLmmif0GRq2f55lmA/trained_model.tar","alvdansen/softserve_anime"],
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "png",
"output_quality": 80,
"prompt": "a photo of TOK, sftsrv style"
}
)
# 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_Qqo**********************************
This is your API token. Keep it to yourself.
Run lucataco/flux-dev-multi-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": "lucataco/flux-dev-multi-lora:3de6b583ede26d67e96fe222b68fd249545e38509a66a3feee435ae961b4b842",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"hf_loras": ["https://replicate.delivery/yhqm/xIUPCppeslXbaC6D8hzONTPKFURik2zRMLmmif0GRq2f55lmA/trained_model.tar","alvdansen/softserve_anime"],
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "png",
"output_quality": 80,
"prompt": "a photo of TOK, sftsrv style"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "bfw21g1b8drj00chcfp8w5hb20",
"model": "lucataco/flux-dev-multi-lora",
"version": "3de6b583ede26d67e96fe222b68fd249545e38509a66a3feee435ae961b4b842",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"hf_loras": [
"https://replicate.delivery/yhqm/xIUPCppeslXbaC6D8hzONTPKFURik2zRMLmmif0GRq2f55lmA/trained_model.tar",
"alvdansen/softserve_anime"
],
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "png",
"output_quality": 80,
"prompt": "a photo of TOK, sftsrv style"
},
"logs": "Using seed: 24558\nPrompt: a photo of TOK, sftsrv style\ntxt2img mode\nDownloading LoRA weights from - Replicate URL: https://replicate.delivery/yhqm/xIUPCppeslXbaC6D8hzONTPKFURik2zRMLmmif0GRq2f55lmA/trained_model.tar\nDownloading LoRA weights from - HF path: alvdansen/softserve_anime\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:15, 1.69it/s]\n 7%|▋ | 2/28 [00:01<00:13, 1.90it/s]\n 11%|█ | 3/28 [00:01<00:13, 1.80it/s]\n 14%|█▍ | 4/28 [00:02<00:13, 1.75it/s]\n 18%|█▊ | 5/28 [00:02<00:13, 1.73it/s]\n 21%|██▏ | 6/28 [00:03<00:12, 1.71it/s]\n 25%|██▌ | 7/28 [00:04<00:12, 1.71it/s]\n 29%|██▊ | 8/28 [00:04<00:11, 1.70it/s]\n 32%|███▏ | 9/28 [00:05<00:11, 1.70it/s]\n 36%|███▌ | 10/28 [00:05<00:10, 1.69it/s]\n 39%|███▉ | 11/28 [00:06<00:10, 1.69it/s]\n 43%|████▎ | 12/28 [00:07<00:09, 1.69it/s]\n 46%|████▋ | 13/28 [00:07<00:08, 1.69it/s]\n 50%|█████ | 14/28 [00:08<00:08, 1.68it/s]\n 54%|█████▎ | 15/28 [00:08<00:07, 1.68it/s]\n 57%|█████▋ | 16/28 [00:09<00:07, 1.68it/s]\n 61%|██████ | 17/28 [00:09<00:06, 1.68it/s]\n 64%|██████▍ | 18/28 [00:10<00:05, 1.68it/s]\n 68%|██████▊ | 19/28 [00:11<00:05, 1.68it/s]\n 71%|███████▏ | 20/28 [00:11<00:04, 1.68it/s]\n 75%|███████▌ | 21/28 [00:12<00:04, 1.68it/s]\n 79%|███████▊ | 22/28 [00:12<00:03, 1.68it/s]\n 82%|████████▏ | 23/28 [00:13<00:02, 1.68it/s]\n 86%|████████▌ | 24/28 [00:14<00:02, 1.68it/s]\n 89%|████████▉ | 25/28 [00:14<00:01, 1.68it/s]\n 93%|█████████▎| 26/28 [00:15<00:01, 1.68it/s]\n 96%|█████████▋| 27/28 [00:15<00:00, 1.68it/s]\n100%|██████████| 28/28 [00:16<00:00, 1.68it/s]\n100%|██████████| 28/28 [00:16<00:00, 1.70it/s]",
"output": [
"https://replicate.delivery/yhqm/pPlEXdkJlV4CPRgf5TXUDVSJeVZdaeTcA8iv8bQf9qUsjNPNB/out-0.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-08-18T05:18:27.651Z",
"started_at": "2024-08-18T05:18:27.660244Z",
"completed_at": "2024-08-18T05:18:52.636088Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/bfw21g1b8drj00chcfp8w5hb20/cancel",
"get": "https://api.replicate.com/v1/predictions/bfw21g1b8drj00chcfp8w5hb20",
"web": "https://replicate.com/p/bfw21g1b8drj00chcfp8w5hb20"
},
"metrics": {
"predict_time": 24.975843841,
"total_time": 24.985088
}
}