typetext
ID
s75xvx85ssrma0cm7t3bws5axm
Status
Succeeded
Source
Web
Hardware
H100
Total duration
Created
Webhook
–
Input
- prompt
- KEILAH is a traditional hula dancer at a luau. She is telling a story of her people through the dance, in traditional garb. The luau is on the beach, and the ocean is behind her. In front of her, green grass and beautiful tropical plants and trees abound.
- aspect_ratio
- 1:1default1:1typeenumvalue typestringoptions1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21, custom
- prompt_strength
- 0.8default0.8typenumeric-rangevalue typenumbermaximum1
- model
- devdefaultdevtypeenumvalue typestringoptionsdev, schnell
- num_outputs
- 1default1typenumeric-rangevalue typeintegerminimum1maximum4
- num_inference_steps
- 28default28typenumeric-rangevalue typeintegerminimum1maximum50
- guidance_scale
- 3default3typenumeric-rangevalue typenumbermaximum10
- output_format
- webpdefaultwebptypeenumvalue typestringoptionswebp, jpg, png
- output_quality
- 80default80typenumeric-rangevalue typeintegermaximum100
- go_fast
- falsetypeboolean
- megapixels
- 1default1typeenumvalue typestringoptions1, 0.25
- lora_scale
- 1default1typenumeric-rangevalue typenumberminimum-1maximum3
- extra_lora_scale
- 1default1typenumeric-rangevalue typenumberminimum-1maximum3
{
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "KEILAH is a traditional hula dancer at a luau. She is telling a story of her people through the dance, in traditional garb. The luau is on the beach, and the ocean is behind her. In front of her, green grass and beautiful tropical plants and trees abound.",
"prompt_strength": 0.8
}Install Replicate’s Node.js client library:
npm install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_2QG**********************************
This is your API token. Keep it to yourself.
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 drrhinoai/keilah-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"drrhinoai/keilah-lora:c016899966f20772ce54dc7270c1629feb2698e4562beb076a188b9cc768f002",
{
input: {
aspect_ratio: "1:1",
extra_lora_scale: 1,
go_fast: false,
guidance_scale: 3,
lora_scale: 1,
megapixels: "1",
model: "dev",
num_inference_steps: 28,
num_outputs: 1,
output_format: "webp",
output_quality: 80,
prompt: "KEILAH is a traditional hula dancer at a luau. She is telling a story of her people through the dance, in traditional garb. The luau is on the beach, and the ocean is behind her. In front of her, green grass and beautiful tropical plants and trees abound.",
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.
Install Replicate’s Python client library:
pip install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_2QG**********************************
This is your API token. Keep it to yourself.
Import the client:
import replicate
Run drrhinoai/keilah-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"drrhinoai/keilah-lora:c016899966f20772ce54dc7270c1629feb2698e4562beb076a188b9cc768f002",
input={
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": False,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "KEILAH is a traditional hula dancer at a luau. She is telling a story of her people through the dance, in traditional garb. The luau is on the beach, and the ocean is behind her. In front of her, green grass and beautiful tropical plants and trees abound.",
"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.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_2QG**********************************
This is your API token. Keep it to yourself.
Run drrhinoai/keilah-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": "drrhinoai/keilah-lora:c016899966f20772ce54dc7270c1629feb2698e4562beb076a188b9cc768f002",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "KEILAH is a traditional hula dancer at a luau. She is telling a story of her people through the dance, in traditional garb. The luau is on the beach, and the ocean is behind her. In front of her, green grass and beautiful tropical plants and trees abound.",
"prompt_strength": 0.8
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"id": "s75xvx85ssrma0cm7t3bws5axm",
"model": "drrhinoai/keilah-lora",
"version": "c016899966f20772ce54dc7270c1629feb2698e4562beb076a188b9cc768f002",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "KEILAH is a traditional hula dancer at a luau. She is telling a story of her people through the dance, in traditional garb. The luau is on the beach, and the ocean is behind her. In front of her, green grass and beautiful tropical plants and trees abound.",
"prompt_strength": 0.8
},
"logs": "2025-01-07 02:09:18.435 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 02:09:18.435 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2766.91it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2602.02it/s]\n2025-01-07 02:09:18.552 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29061949599744\nDownloading weights\n2025-01-07T02:09:18Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9a9zlhyi/weights url=https://replicate.delivery/xezq/447CTfseFviK0E9bx0lJxAFsXzOijr6DPYxYGlCwKukh0jCUA/trained_model.tar\n2025-01-07T02:09:20Z | INFO | [ Complete ] dest=/tmp/tmp9a9zlhyi/weights size=\"172 MB\" total_elapsed=1.437s url=https://replicate.delivery/xezq/447CTfseFviK0E9bx0lJxAFsXzOijr6DPYxYGlCwKukh0jCUA/trained_model.tar\nDownloaded weights in 1.46s\n2025-01-07 02:09:20.016 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/2b141bcaf2c4d708\n2025-01-07 02:09:20.088 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-07 02:09:20.088 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 02:09:20.088 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2779.27it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2613.09it/s]\n2025-01-07 02:09:20.205 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 55428\n0it [00:00, ?it/s]\n1it [00:00, 8.29it/s]\n2it [00:00, 5.82it/s]\n3it [00:00, 5.31it/s]\n4it [00:00, 5.10it/s]\n5it [00:00, 4.99it/s]\n6it [00:01, 4.92it/s]\n7it [00:01, 4.88it/s]\n8it [00:01, 4.86it/s]\n9it [00:01, 4.84it/s]\n10it [00:01, 4.83it/s]\n11it [00:02, 4.82it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.80it/s]\n15it [00:03, 4.79it/s]\n16it [00:03, 4.79it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.80it/s]\n19it [00:03, 4.80it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.80it/s]\n22it [00:04, 4.80it/s]\n23it [00:04, 4.80it/s]\n24it [00:04, 4.80it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.80it/s]\n28it [00:05, 4.87it/s]\nTotal safe images: 1 out of 1",
"output": [
"https://replicate.delivery/xezq/btz4Zu0HqPasLdKehCtRDRUOgbSfapDwvdYKtaTnDYvW7jCUA/out-0.webp"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2025-01-07T02:09:18.286Z",
"started_at": "2025-01-07T02:09:18.435555Z",
"completed_at": "2025-01-07T02:09:26.332396Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/s75xvx85ssrma0cm7t3bws5axm/cancel",
"get": "https://api.replicate.com/v1/predictions/s75xvx85ssrma0cm7t3bws5axm",
"stream": "https://stream.replicate.com/v1/files/bcwr-3hpxidbm3f36lir2f2uoy75dvp7yyvyamla532yghfyvsrtrzuia",
"web": "https://replicate.com/p/s75xvx85ssrma0cm7t3bws5axm"
},
"metrics": {
"predict_time": 7.896840849,
"total_time": 8.046396
}
}Generated in
2025-01-07 02:09:18.435 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-07 02:09:18.435 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2766.91it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2602.02it/s]
2025-01-07 02:09:18.552 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s
free=29061949599744
Downloading weights
2025-01-07T02:09:18Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9a9zlhyi/weights url=https://replicate.delivery/xezq/447CTfseFviK0E9bx0lJxAFsXzOijr6DPYxYGlCwKukh0jCUA/trained_model.tar
2025-01-07T02:09:20Z | INFO | [ Complete ] dest=/tmp/tmp9a9zlhyi/weights size="172 MB" total_elapsed=1.437s url=https://replicate.delivery/xezq/447CTfseFviK0E9bx0lJxAFsXzOijr6DPYxYGlCwKukh0jCUA/trained_model.tar
Downloaded weights in 1.46s
2025-01-07 02:09:20.016 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/2b141bcaf2c4d708
2025-01-07 02:09:20.088 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-07 02:09:20.088 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-07 02:09:20.088 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2779.27it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2613.09it/s]
2025-01-07 02:09:20.205 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s
Using seed: 55428
0it [00:00, ?it/s]
1it [00:00, 8.29it/s]
2it [00:00, 5.82it/s]
3it [00:00, 5.31it/s]
4it [00:00, 5.10it/s]
5it [00:00, 4.99it/s]
6it [00:01, 4.92it/s]
7it [00:01, 4.88it/s]
8it [00:01, 4.86it/s]
9it [00:01, 4.84it/s]
10it [00:01, 4.83it/s]
11it [00:02, 4.82it/s]
12it [00:02, 4.81it/s]
13it [00:02, 4.80it/s]
14it [00:02, 4.80it/s]
15it [00:03, 4.79it/s]
16it [00:03, 4.79it/s]
17it [00:03, 4.80it/s]
18it [00:03, 4.80it/s]
19it [00:03, 4.80it/s]
20it [00:04, 4.80it/s]
21it [00:04, 4.80it/s]
22it [00:04, 4.80it/s]
23it [00:04, 4.80it/s]
24it [00:04, 4.80it/s]
25it [00:05, 4.80it/s]
26it [00:05, 4.80it/s]
27it [00:05, 4.80it/s]
28it [00:05, 4.80it/s]
28it [00:05, 4.87it/s]
Total safe images: 1 out of 1