typetext
{
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"hf_lora": "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
"lora_scale": 0.8,
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "a portrait photo of TOK as a charismatic female speaker giving a TED talk, captured gesturing mid-speech on stage. She has purple hair and is wearing business casual clothes. She's also wearing a simple black lanyard hanging around her neck. The lanyard badge has the text \"Replicate\"\n\nBehind her, there is a presentation with the text \"How I made 100k MRR\""
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_I6W**********************************
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-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-lora:a22c463f11808638ad5e2ebd582e07a469031f48dd567366fb4c6fdab91d614d",
{
input: {
aspect_ratio: "1:1",
guidance_scale: 3.5,
hf_lora: "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
lora_scale: 0.8,
num_inference_steps: 28,
num_outputs: 1,
output_format: "webp",
output_quality: 80,
prompt: "a portrait photo of TOK as a charismatic female speaker giving a TED talk, captured gesturing mid-speech on stage. She has purple hair and is wearing business casual clothes. She's also wearing a simple black lanyard hanging around her neck. The lanyard badge has the text \"Replicate\"\n\nBehind her, there is a presentation with the text \"How I made 100k MRR\""
}
}
);
// 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_I6W**********************************
This is your API token. Keep it to yourself.
import replicate
Run lucataco/flux-dev-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/flux-dev-lora:a22c463f11808638ad5e2ebd582e07a469031f48dd567366fb4c6fdab91d614d",
input={
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"hf_lora": "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
"lora_scale": 0.8,
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "a portrait photo of TOK as a charismatic female speaker giving a TED talk, captured gesturing mid-speech on stage. She has purple hair and is wearing business casual clothes. She's also wearing a simple black lanyard hanging around her neck. The lanyard badge has the text \"Replicate\"\n\nBehind her, there is a presentation with the text \"How I made 100k MRR\""
}
)
# 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_I6W**********************************
This is your API token. Keep it to yourself.
Run lucataco/flux-dev-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-lora:a22c463f11808638ad5e2ebd582e07a469031f48dd567366fb4c6fdab91d614d",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"hf_lora": "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
"lora_scale": 0.8,
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "a portrait photo of TOK as a charismatic female speaker giving a TED talk, captured gesturing mid-speech on stage. She has purple hair and is wearing business casual clothes. She\'s also wearing a simple black lanyard hanging around her neck. The lanyard badge has the text \\"Replicate\\"\\n\\nBehind her, there is a presentation with the text \\"How I made 100k MRR\\""
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "x71fmj0jb1rj00che4pa5j2xnc",
"model": "lucataco/flux-dev-lora",
"version": "a22c463f11808638ad5e2ebd582e07a469031f48dd567366fb4c6fdab91d614d",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"hf_lora": "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
"lora_scale": 0.8,
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "a portrait photo of TOK as a charismatic female speaker giving a TED talk, captured gesturing mid-speech on stage. She has purple hair and is wearing business casual clothes. She's also wearing a simple black lanyard hanging around her neck. The lanyard badge has the text \"Replicate\"\n\nBehind her, there is a presentation with the text \"How I made 100k MRR\""
},
"logs": "Using seed: 11405\nPrompt: a portrait photo of TOK as a charismatic female speaker giving a TED talk, captured gesturing mid-speech on stage. She has purple hair and is wearing business casual clothes. She's also wearing a simple black lanyard hanging around her neck. The lanyard badge has the text \"Replicate\"\nBehind her, there is a presentation with the text \"How I made 100k MRR\"\ntxt2img mode\nDownloading LoRA weights from - Replicate URL: https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar\nEnsuring enough disk space...\nDownloading weights: https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar\n2024-08-20T19:03:19Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/3183c8e9c43647c8 url=https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar\n2024-08-20T19:03:20Z | INFO | [ Complete ] dest=/src/weights-cache/3183c8e9c43647c8 size=\"172 MB\" total_elapsed=1.109s url=https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar\nb''\nDownloaded weights in 1.1337289810180664 seconds\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['k mrr \"']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:14, 1.88it/s]\n 7%|▋ | 2/28 [00:00<00:11, 2.18it/s]\n 11%|█ | 3/28 [00:01<00:12, 2.03it/s]\n 14%|█▍ | 4/28 [00:02<00:12, 1.96it/s]\n 18%|█▊ | 5/28 [00:02<00:11, 1.93it/s]\n 21%|██▏ | 6/28 [00:03<00:11, 1.91it/s]\n 25%|██▌ | 7/28 [00:03<00:11, 1.90it/s]\n 29%|██▊ | 8/28 [00:04<00:10, 1.89it/s]\n 32%|███▏ | 9/28 [00:04<00:10, 1.88it/s]\n 36%|███▌ | 10/28 [00:05<00:09, 1.88it/s]\n 39%|███▉ | 11/28 [00:05<00:09, 1.88it/s]\n 43%|████▎ | 12/28 [00:06<00:08, 1.88it/s]\n 46%|████▋ | 13/28 [00:06<00:08, 1.87it/s]\n 50%|█████ | 14/28 [00:07<00:07, 1.87it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 1.87it/s]\n 57%|█████▋ | 16/28 [00:08<00:06, 1.87it/s]\n 61%|██████ | 17/28 [00:08<00:05, 1.87it/s]\n 64%|██████▍ | 18/28 [00:09<00:05, 1.87it/s]\n 68%|██████▊ | 19/28 [00:10<00:04, 1.87it/s]\n 71%|███████▏ | 20/28 [00:10<00:04, 1.87it/s]\n 75%|███████▌ | 21/28 [00:11<00:03, 1.87it/s]\n 79%|███████▊ | 22/28 [00:11<00:03, 1.87it/s]\n 82%|████████▏ | 23/28 [00:12<00:02, 1.87it/s]\n 86%|████████▌ | 24/28 [00:12<00:02, 1.87it/s]\n 89%|████████▉ | 25/28 [00:13<00:01, 1.87it/s]\n 93%|█████████▎| 26/28 [00:13<00:01, 1.87it/s]\n 96%|█████████▋| 27/28 [00:14<00:00, 1.87it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.87it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.89it/s]",
"output": [
"https://replicate.delivery/yhqm/dqnmsMdcP5LKHdyB7KwvalxWMk82PP1pBiFSbmkwFaXiaK1E/out-0.webp"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-08-20T19:03:19.384Z",
"started_at": "2024-08-20T19:03:19.393236Z",
"completed_at": "2024-08-20T19:03:37.858339Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/x71fmj0jb1rj00che4pa5j2xnc/cancel",
"get": "https://api.replicate.com/v1/predictions/x71fmj0jb1rj00che4pa5j2xnc",
"web": "https://replicate.com/p/x71fmj0jb1rj00che4pa5j2xnc"
},
"metrics": {
"predict_time": 18.465103505,
"total_time": 18.474339
}
}