Readme
This model doesn't have a readme.
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run chakify/flux-dev-lora-instax-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"chakify/flux-dev-lora-instax-v2:22c2bb7db4b49d1286c2c3f2fc11799d49bdd581b4da9bf6301e987664c484b7",
{
input: {
model: "dev",
prompt: "A girl riding on a skateboard, with her right hand holding a white INSTAX. She wears a white baseball cap.",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "1:1",
output_format: "webp",
guidance_scale: 3,
output_quality: 80,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 28
}
}
);
// 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=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run chakify/flux-dev-lora-instax-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"chakify/flux-dev-lora-instax-v2:22c2bb7db4b49d1286c2c3f2fc11799d49bdd581b4da9bf6301e987664c484b7",
input={
"model": "dev",
"prompt": "A girl riding on a skateboard, with her right hand holding a white INSTAX. She wears a white baseball cap.",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
)
# 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=<paste-your-token-here>
Find your API token in your account settings.
Run chakify/flux-dev-lora-instax-v2 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": "chakify/flux-dev-lora-instax-v2:22c2bb7db4b49d1286c2c3f2fc11799d49bdd581b4da9bf6301e987664c484b7",
"input": {
"model": "dev",
"prompt": "A girl riding on a skateboard, with her right hand holding a white INSTAX. She wears a white baseball cap.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Sign in to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2025-01-07T14:58:55.880035Z",
"created_at": "2025-01-07T14:58:48.501000Z",
"data_removed": false,
"error": null,
"id": "4kfwyn466nrme0cm8538afzedr",
"input": {
"model": "dev",
"prompt": "A girl riding on a skateboard, with her right hand holding a white INSTAX. She wears a white baseball cap.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "2025-01-07 14:58:48.643 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 14:58:48.643 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2772.81it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2669.28it/s]\n2025-01-07 14:58:48.757 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29284687552512\nDownloading weights\n2025-01-07T14:58:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd7smdx3f/weights url=https://replicate.delivery/xezq/oxdbSnukcZKwGNefkdO3dUIo8sec0Cm4fqKKWkR78wFw21JQB/trained_model.tar\n2025-01-07T14:58:49Z | INFO | [ Complete ] dest=/tmp/tmpd7smdx3f/weights size=\"172 MB\" total_elapsed=0.766s url=https://replicate.delivery/xezq/oxdbSnukcZKwGNefkdO3dUIo8sec0Cm4fqKKWkR78wFw21JQB/trained_model.tar\nDownloaded weights in 0.79s\n2025-01-07 14:58:49.548 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7efaaee7cdb7c911\n2025-01-07 14:58:49.617 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-07 14:58:49.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 14:58:49.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2775.89it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2671.64it/s]\n2025-01-07 14:58:49.731 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 61229\n0it [00:00, ?it/s]\n1it [00:00, 8.33it/s]\n2it [00:00, 5.83it/s]\n3it [00:00, 5.31it/s]\n4it [00:00, 5.10it/s]\n5it [00:00, 4.98it/s]\n6it [00:01, 4.90it/s]\n7it [00:01, 4.86it/s]\n8it [00:01, 4.85it/s]\n9it [00:01, 4.84it/s]\n10it [00:01, 4.82it/s]\n11it [00:02, 4.80it/s]\n12it [00:02, 4.79it/s]\n13it [00:02, 4.79it/s]\n14it [00:02, 4.79it/s]\n15it [00:03, 4.80it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.79it/s]\n18it [00:03, 4.79it/s]\n19it [00:03, 4.79it/s]\n20it [00:04, 4.79it/s]\n21it [00:04, 4.78it/s]\n22it [00:04, 4.77it/s]\n23it [00:04, 4.77it/s]\n24it [00:04, 4.78it/s]\n25it [00:05, 4.78it/s]\n26it [00:05, 4.78it/s]\n27it [00:05, 4.78it/s]\n28it [00:05, 4.78it/s]\n28it [00:05, 4.86it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 7.236080687,
"total_time": 7.379035
},
"output": [
"https://replicate.delivery/xezq/X37fQhhs9fmeSp5tYjecnAQbdRDYiBqZrLnBEayejoD8l5VgC/out-0.webp"
],
"started_at": "2025-01-07T14:58:48.643955Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-3jzpknp55k3h6qdqk4kimzjq5fshjpvtpolwdzodg5zkuktkjzmq",
"get": "https://api.replicate.com/v1/predictions/4kfwyn466nrme0cm8538afzedr",
"cancel": "https://api.replicate.com/v1/predictions/4kfwyn466nrme0cm8538afzedr/cancel"
},
"version": "22c2bb7db4b49d1286c2c3f2fc11799d49bdd581b4da9bf6301e987664c484b7"
}
2025-01-07 14:58:48.643 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-07 14:58:48.643 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2772.81it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2669.28it/s]
2025-01-07 14:58:48.757 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=29284687552512
Downloading weights
2025-01-07T14:58:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd7smdx3f/weights url=https://replicate.delivery/xezq/oxdbSnukcZKwGNefkdO3dUIo8sec0Cm4fqKKWkR78wFw21JQB/trained_model.tar
2025-01-07T14:58:49Z | INFO | [ Complete ] dest=/tmp/tmpd7smdx3f/weights size="172 MB" total_elapsed=0.766s url=https://replicate.delivery/xezq/oxdbSnukcZKwGNefkdO3dUIo8sec0Cm4fqKKWkR78wFw21JQB/trained_model.tar
Downloaded weights in 0.79s
2025-01-07 14:58:49.548 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7efaaee7cdb7c911
2025-01-07 14:58:49.617 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-07 14:58:49.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-07 14:58:49.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2775.89it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2671.64it/s]
2025-01-07 14:58:49.731 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 61229
0it [00:00, ?it/s]
1it [00:00, 8.33it/s]
2it [00:00, 5.83it/s]
3it [00:00, 5.31it/s]
4it [00:00, 5.10it/s]
5it [00:00, 4.98it/s]
6it [00:01, 4.90it/s]
7it [00:01, 4.86it/s]
8it [00:01, 4.85it/s]
9it [00:01, 4.84it/s]
10it [00:01, 4.82it/s]
11it [00:02, 4.80it/s]
12it [00:02, 4.79it/s]
13it [00:02, 4.79it/s]
14it [00:02, 4.79it/s]
15it [00:03, 4.80it/s]
16it [00:03, 4.80it/s]
17it [00:03, 4.79it/s]
18it [00:03, 4.79it/s]
19it [00:03, 4.79it/s]
20it [00:04, 4.79it/s]
21it [00:04, 4.78it/s]
22it [00:04, 4.77it/s]
23it [00:04, 4.77it/s]
24it [00:04, 4.78it/s]
25it [00:05, 4.78it/s]
26it [00:05, 4.78it/s]
27it [00:05, 4.78it/s]
28it [00:05, 4.78it/s]
28it [00:05, 4.86it/s]
Total safe images: 1 out of 1
This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
This model is booted and ready for API calls.
This model runs on H100 hardware which costs $0.001525 per second
Choose a file from your machine
Hint: you can also drag files onto the input
Choose a file from your machine
Hint: you can also drag files onto the input
2025-01-07 14:58:48.643 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-07 14:58:48.643 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2772.81it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2669.28it/s]
2025-01-07 14:58:48.757 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=29284687552512
Downloading weights
2025-01-07T14:58:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd7smdx3f/weights url=https://replicate.delivery/xezq/oxdbSnukcZKwGNefkdO3dUIo8sec0Cm4fqKKWkR78wFw21JQB/trained_model.tar
2025-01-07T14:58:49Z | INFO | [ Complete ] dest=/tmp/tmpd7smdx3f/weights size="172 MB" total_elapsed=0.766s url=https://replicate.delivery/xezq/oxdbSnukcZKwGNefkdO3dUIo8sec0Cm4fqKKWkR78wFw21JQB/trained_model.tar
Downloaded weights in 0.79s
2025-01-07 14:58:49.548 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7efaaee7cdb7c911
2025-01-07 14:58:49.617 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-07 14:58:49.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-07 14:58:49.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2775.89it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2671.64it/s]
2025-01-07 14:58:49.731 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 61229
0it [00:00, ?it/s]
1it [00:00, 8.33it/s]
2it [00:00, 5.83it/s]
3it [00:00, 5.31it/s]
4it [00:00, 5.10it/s]
5it [00:00, 4.98it/s]
6it [00:01, 4.90it/s]
7it [00:01, 4.86it/s]
8it [00:01, 4.85it/s]
9it [00:01, 4.84it/s]
10it [00:01, 4.82it/s]
11it [00:02, 4.80it/s]
12it [00:02, 4.79it/s]
13it [00:02, 4.79it/s]
14it [00:02, 4.79it/s]
15it [00:03, 4.80it/s]
16it [00:03, 4.80it/s]
17it [00:03, 4.79it/s]
18it [00:03, 4.79it/s]
19it [00:03, 4.79it/s]
20it [00:04, 4.79it/s]
21it [00:04, 4.78it/s]
22it [00:04, 4.77it/s]
23it [00:04, 4.77it/s]
24it [00:04, 4.78it/s]
25it [00:05, 4.78it/s]
26it [00:05, 4.78it/s]
27it [00:05, 4.78it/s]
28it [00:05, 4.78it/s]
28it [00:05, 4.86it/s]
Total safe images: 1 out of 1